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+ + \ No newline at end of file diff --git a/assets/css/styles.45fe17b6.css b/assets/css/styles.a204f99f.css similarity index 65% rename from assets/css/styles.45fe17b6.css rename to assets/css/styles.a204f99f.css index 827dece..a92409f 100644 --- a/assets/css/styles.45fe17b6.css +++ b/assets/css/styles.a204f99f.css @@ -1 +1 @@ -.col,.container{padding:0 var(--ifm-spacing-horizontal);width:100%}.markdown>h2,.markdown>h3,.markdown>h4,.markdown>h5,.markdown>h6{margin-bottom:calc(var(--ifm-heading-vertical-rhythm-bottom)*var(--ifm-leading))}.markdown li,body{word-wrap:break-word}body,ol ol,ol ul,ul ol,ul ul{margin:0}pre,table{overflow:auto}blockquote,pre{margin:0 0 var(--ifm-spacing-vertical)}.breadcrumbs__link,.button{transition-timing-function:var(--ifm-transition-timing-default)}.button,code{vertical-align:middle}.button--outline.button--active,.button--outline:active,.button--outline:hover,:root{--ifm-button-color:var(--ifm-font-color-base-inverse)}.menu__link:hover,a{transition:color 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facets attribute of the helper configuration");return this.setQueryParameters({facetsRefinements:f.toggleRefinement(this.facetsRefinements,e,t)})},toggleExcludeFacetRefinement:function(e,t){if(!this.isConjunctiveFacet(e))throw new Error(e+" is not defined in the facets attribute of the helper configuration");return this.setQueryParameters({facetsExcludes:f.toggleRefinement(this.facetsExcludes,e,t)})},toggleDisjunctiveFacetRefinement:function(e,t){if(!this.isDisjunctiveFacet(e))throw new Error(e+" is not defined in the disjunctiveFacets attribute of the helper configuration");return this.setQueryParameters({disjunctiveFacetsRefinements:f.toggleRefinement(this.disjunctiveFacetsRefinements,e,t)})},toggleHierarchicalFacetRefinement:function(e,t){if(!this.isHierarchicalFacet(e))throw new Error(e+" is not defined in the hierarchicalFacets attribute of the helper configuration");var r=this._getHierarchicalFacetSeparator(this.getHierarchicalFacetByName(e)),n={};return void 0!==this.hierarchicalFacetsRefinements[e]&&this.hierarchicalFacetsRefinements[e].length>0&&(this.hierarchicalFacetsRefinements[e][0]===t||0===this.hierarchicalFacetsRefinements[e][0].indexOf(t+r))?-1===t.indexOf(r)?n[e]=[]:n[e]=[t.slice(0,t.lastIndexOf(r))]:n[e]=[t],this.setQueryParameters({hierarchicalFacetsRefinements:i({},n,this.hierarchicalFacetsRefinements)})},addHierarchicalFacetRefinement:function(e,t){if(this.isHierarchicalFacetRefined(e))throw new Error(e+" is already refined.");if(!this.isHierarchicalFacet(e))throw new Error(e+" is not defined in the hierarchicalFacets attribute of the helper configuration.");var r={};return r[e]=[t],this.setQueryParameters({hierarchicalFacetsRefinements:i({},r,this.hierarchicalFacetsRefinements)})},removeHierarchicalFacetRefinement:function(e){if(!this.isHierarchicalFacetRefined(e))return this;var t={};return t[e]=[],this.setQueryParameters({hierarchicalFacetsRefinements:i({},t,this.hierarchicalFacetsRefinements)})},toggleTagRefinement:function(e){return this.isTagRefined(e)?this.removeTagRefinement(e):this.addTagRefinement(e)},isDisjunctiveFacet:function(e){return this.disjunctiveFacets.indexOf(e)>-1},isHierarchicalFacet:function(e){return void 0!==this.getHierarchicalFacetByName(e)},isConjunctiveFacet:function(e){return this.facets.indexOf(e)>-1},isFacetRefined:function(e,t){return!!this.isConjunctiveFacet(e)&&f.isRefined(this.facetsRefinements,e,t)},isExcludeRefined:function(e,t){return!!this.isConjunctiveFacet(e)&&f.isRefined(this.facetsExcludes,e,t)},isDisjunctiveFacetRefined:function(e,t){return!!this.isDisjunctiveFacet(e)&&f.isRefined(this.disjunctiveFacetsRefinements,e,t)},isHierarchicalFacetRefined:function(e,t){if(!this.isHierarchicalFacet(e))return!1;var r=this.getHierarchicalRefinement(e);return t?-1!==r.indexOf(t):r.length>0},isNumericRefined:function(e,t,r){if(void 0===r&&void 0===t)return!!this.numericRefinements[e];var n=this.numericRefinements[e]&&void 0!==this.numericRefinements[e][t];if(void 0===r||!n)return n;var i,a,u=c(r),o=void 0!==(i=this.numericRefinements[e][t],a=u,s(i,(function(e){return l(e,a)})));return n&&o},isTagRefined:function(e){return-1!==this.tagRefinements.indexOf(e)},getRefinedDisjunctiveFacets:function(){var e=this,t=a(Object.keys(this.numericRefinements).filter((function(t){return Object.keys(e.numericRefinements[t]).length>0})),this.disjunctiveFacets);return Object.keys(this.disjunctiveFacetsRefinements).filter((function(t){return e.disjunctiveFacetsRefinements[t].length>0})).concat(t).concat(this.getRefinedHierarchicalFacets())},getRefinedHierarchicalFacets:function(){var e=this;return a(this.hierarchicalFacets.map((function(e){return e.name})),Object.keys(this.hierarchicalFacetsRefinements).filter((function(t){return e.hierarchicalFacetsRefinements[t].length>0})))},getUnrefinedDisjunctiveFacets:function(){var e=this.getRefinedDisjunctiveFacets();return this.disjunctiveFacets.filter((function(t){return-1===e.indexOf(t)}))},managedParameters:["index","facets","disjunctiveFacets","facetsRefinements","hierarchicalFacets","facetsExcludes","disjunctiveFacetsRefinements","numericRefinements","tagRefinements","hierarchicalFacetsRefinements"],getQueryParams:function(){var e=this.managedParameters,t={},r=this;return Object.keys(this).forEach((function(n){var i=r[n];-1===e.indexOf(n)&&void 0!==i&&(t[n]=i)})),t},setQueryParameter:function(e,t){if(this[e]===t)return this;var r={};return r[e]=t,this.setQueryParameters(r)},setQueryParameters:function(e){if(!e)return this;var t=m.validate(this,e);if(t)throw t;var r=this,n=m._parseNumbers(e),i=Object.keys(this).reduce((function(e,t){return e[t]=r[t],e}),{}),a=Object.keys(n).reduce((function(e,t){var r=void 0!==e[t],i=void 0!==n[t];return r&&!i?u(e,[t]):(i&&(e[t]=n[t]),e)}),i);return new this.constructor(a)},resetPage:function(){return void 0===this.page?this:this.setPage(0)},_getHierarchicalFacetSortBy:function(e){return e.sortBy||["isRefined:desc","name:asc"]},_getHierarchicalFacetSeparator:function(e){return e.separator||" > "},_getHierarchicalRootPath:function(e){return e.rootPath||null},_getHierarchicalShowParentLevel:function(e){return"boolean"!=typeof e.showParentLevel||e.showParentLevel},getHierarchicalFacetByName:function(e){return s(this.hierarchicalFacets,(function(t){return t.name===e}))},getHierarchicalFacetBreadcrumb:function(e){if(!this.isHierarchicalFacet(e))return[];var t=this.getHierarchicalRefinement(e)[0];if(!t)return[];var r=this._getHierarchicalFacetSeparator(this.getHierarchicalFacetByName(e));return t.split(r).map((function(e){return e.trim()}))},toString:function(){return JSON.stringify(this,null,2)}},e.exports=m},210:(e,t,r)=>{"use strict";e.exports=function(e){return function(t,r){var s=e.hierarchicalFacets[r],o=e.hierarchicalFacetsRefinements[s.name]&&e.hierarchicalFacetsRefinements[s.name][0]||"",h=e._getHierarchicalFacetSeparator(s),f=e._getHierarchicalRootPath(s),l=e._getHierarchicalShowParentLevel(s),m=a(e._getHierarchicalFacetSortBy(s)),d=t.every((function(e){return e.exhaustive})),p=function(e,t,r,a,s){return function(o,h,f){var l=o;if(f>0){var m=0;for(l=o;m{"use strict";var n=r(185),i=r(2344),a=r(2148),s=r(4587),c=r(7888),u=r(9725),o=r(2293),h=r(4039),f=h.escapeFacetValue,l=h.unescapeFacetValue,m=r(210);function d(e){var t={};return e.forEach((function(e,r){t[e]=r})),t}function p(e,t,r){t&&t[r]&&(e.stats=t[r])}function v(e,t,r){var a=t[0];this._rawResults=t;var o=this;Object.keys(a).forEach((function(e){o[e]=a[e]})),Object.keys(r||{}).forEach((function(e){o[e]=r[e]})),this.processingTimeMS=t.reduce((function(e,t){return void 0===t.processingTimeMS?e:e+t.processingTimeMS}),0),this.disjunctiveFacets=[],this.hierarchicalFacets=e.hierarchicalFacets.map((function(){return[]})),this.facets=[];var h=e.getRefinedDisjunctiveFacets(),f=d(e.facets),v=d(e.disjunctiveFacets),g=1,y=a.facets||{};Object.keys(y).forEach((function(t){var r,n,i=y[t],s=(r=e.hierarchicalFacets,n=t,c(r,(function(e){return(e.attributes||[]).indexOf(n)>-1})));if(s){var h=s.attributes.indexOf(t),l=u(e.hierarchicalFacets,(function(e){return e.name===s.name}));o.hierarchicalFacets[l][h]={attribute:t,data:i,exhaustive:a.exhaustiveFacetsCount}}else{var m,d=-1!==e.disjunctiveFacets.indexOf(t),g=-1!==e.facets.indexOf(t);d&&(m=v[t],o.disjunctiveFacets[m]={name:t,data:i,exhaustive:a.exhaustiveFacetsCount},p(o.disjunctiveFacets[m],a.facets_stats,t)),g&&(m=f[t],o.facets[m]={name:t,data:i,exhaustive:a.exhaustiveFacetsCount},p(o.facets[m],a.facets_stats,t))}})),this.hierarchicalFacets=s(this.hierarchicalFacets),h.forEach((function(r){var s=t[g],c=s&&s.facets?s.facets:{},h=e.getHierarchicalFacetByName(r);Object.keys(c).forEach((function(t){var r,f=c[t];if(h){r=u(e.hierarchicalFacets,(function(e){return e.name===h.name}));var m=u(o.hierarchicalFacets[r],(function(e){return e.attribute===t}));if(-1===m)return;o.hierarchicalFacets[r][m].data=n({},o.hierarchicalFacets[r][m].data,f)}else{r=v[t];var d=a.facets&&a.facets[t]||{};o.disjunctiveFacets[r]={name:t,data:i({},f,d),exhaustive:s.exhaustiveFacetsCount},p(o.disjunctiveFacets[r],s.facets_stats,t),e.disjunctiveFacetsRefinements[t]&&e.disjunctiveFacetsRefinements[t].forEach((function(n){!o.disjunctiveFacets[r].data[n]&&e.disjunctiveFacetsRefinements[t].indexOf(l(n))>-1&&(o.disjunctiveFacets[r].data[n]=0)}))}})),g++})),e.getRefinedHierarchicalFacets().forEach((function(r){var n=e.getHierarchicalFacetByName(r),a=e._getHierarchicalFacetSeparator(n),s=e.getHierarchicalRefinement(r);0===s.length||s[0].split(a).length<2||t.slice(g).forEach((function(t){var r=t&&t.facets?t.facets:{};Object.keys(r).forEach((function(t){var c=r[t],h=u(e.hierarchicalFacets,(function(e){return e.name===n.name})),f=u(o.hierarchicalFacets[h],(function(e){return e.attribute===t}));if(-1!==f){var l={};if(s.length>0){var m=s[0].split(a)[0];l[m]=o.hierarchicalFacets[h][f].data[m]}o.hierarchicalFacets[h][f].data=i(l,c,o.hierarchicalFacets[h][f].data)}})),g++}))})),Object.keys(e.facetsExcludes).forEach((function(t){var r=e.facetsExcludes[t],n=f[t];o.facets[n]={name:t,data:a.facets[t],exhaustive:a.exhaustiveFacetsCount},r.forEach((function(e){o.facets[n]=o.facets[n]||{name:t},o.facets[n].data=o.facets[n].data||{},o.facets[n].data[e]=0}))})),this.hierarchicalFacets=this.hierarchicalFacets.map(m(e)),this.facets=s(this.facets),this.disjunctiveFacets=s(this.disjunctiveFacets),this._state=e}function g(e,t){function r(e){return e.name===t}if(e._state.isConjunctiveFacet(t)){var n=c(e.facets,r);return n?Object.keys(n.data).map((function(r){var i=f(r);return{name:r,escapedValue:i,count:n.data[r],isRefined:e._state.isFacetRefined(t,i),isExcluded:e._state.isExcludeRefined(t,r)}})):[]}if(e._state.isDisjunctiveFacet(t)){var i=c(e.disjunctiveFacets,r);return i?Object.keys(i.data).map((function(r){var n=f(r);return{name:r,escapedValue:n,count:i.data[r],isRefined:e._state.isDisjunctiveFacetRefined(t,n)}})):[]}if(e._state.isHierarchicalFacet(t)){var a=c(e.hierarchicalFacets,r);if(!a)return a;var s=e._state.getHierarchicalFacetByName(t),u=l(e._state.getHierarchicalRefinement(t)[0]||"").split(e._state._getHierarchicalFacetSeparator(s));return u.unshift(t),y(a,u,0),a}}function y(e,t,r){e.isRefined=e.name===t[r],e.data&&e.data.forEach((function(e){y(e,t,r+1)}))}function R(e,t,r,n){if(n=n||0,Array.isArray(t))return e(t,r[n]);if(!t.data||0===t.data.length)return t;var a=t.data.map((function(t){return R(e,t,r,n+1)})),s=e(a,r[n]);return i({data:s},t)}function F(e,t){var r=c(e,(function(e){return e.name===t}));return r&&r.stats}function b(e,t,r,n,i){var a=c(i,(function(e){return e.name===r})),s=a&&a.data&&a.data[n]?a.data[n]:0,u=a&&a.exhaustive||!1;return{type:t,attributeName:r,name:n,count:s,exhaustive:u}}v.prototype.getFacetByName=function(e){function t(t){return t.name===e}return c(this.facets,t)||c(this.disjunctiveFacets,t)||c(this.hierarchicalFacets,t)},v.DEFAULT_SORT=["isRefined:desc","count:desc","name:asc"],v.prototype.getFacetValues=function(e,t){var r=g(this,e);if(r){var n,s=i({},t,{sortBy:v.DEFAULT_SORT,facetOrdering:!(t&&t.sortBy)}),c=this;if(Array.isArray(r))n=[e];else n=c._state.getHierarchicalFacetByName(r.name).attributes;return R((function(e,t){if(s.facetOrdering){var r=function(e,t){return e.renderingContent&&e.renderingContent.facetOrdering&&e.renderingContent.facetOrdering.values&&e.renderingContent.facetOrdering.values[t]}(c,t);if(Boolean(r))return function(e,t){var r=[],n=[],i=(t.order||[]).reduce((function(e,t,r){return e[t]=r,e}),{});e.forEach((function(e){var t=e.path||e.name;void 0!==i[t]?r[i[t]]=e:n.push(e)})),r=r.filter((function(e){return e}));var s,c=t.sortRemainingBy;return"hidden"===c?r:(s="alpha"===c?[["path","name"],["asc","asc"]]:[["count"],["desc"]],r.concat(a(n,s[0],s[1])))}(e,r)}if(Array.isArray(s.sortBy)){var n=o(s.sortBy,v.DEFAULT_SORT);return a(e,n[0],n[1])}if("function"==typeof s.sortBy)return function(e,t){return t.sort(e)}(s.sortBy,e);throw new Error("options.sortBy is optional but if defined it must be either an array of string (predicates) or a sorting function")}),r,n)}},v.prototype.getFacetStats=function(e){return this._state.isConjunctiveFacet(e)?F(this.facets,e):this._state.isDisjunctiveFacet(e)?F(this.disjunctiveFacets,e):void 0},v.prototype.getRefinements=function(){var e=this._state,t=this,r=[];return Object.keys(e.facetsRefinements).forEach((function(n){e.facetsRefinements[n].forEach((function(i){r.push(b(e,"facet",n,i,t.facets))}))})),Object.keys(e.facetsExcludes).forEach((function(n){e.facetsExcludes[n].forEach((function(i){r.push(b(e,"exclude",n,i,t.facets))}))})),Object.keys(e.disjunctiveFacetsRefinements).forEach((function(n){e.disjunctiveFacetsRefinements[n].forEach((function(i){r.push(b(e,"disjunctive",n,i,t.disjunctiveFacets))}))})),Object.keys(e.hierarchicalFacetsRefinements).forEach((function(n){e.hierarchicalFacetsRefinements[n].forEach((function(i){r.push(function(e,t,r,n){var i=e.getHierarchicalFacetByName(t),a=e._getHierarchicalFacetSeparator(i),s=r.split(a),u=c(n,(function(e){return e.name===t})),o=s.reduce((function(e,t){var r=e&&c(e.data,(function(e){return e.name===t}));return void 0!==r?r:e}),u),h=o&&o.count||0,f=o&&o.exhaustive||!1,l=o&&o.path||"";return{type:"hierarchical",attributeName:t,name:l,count:h,exhaustive:f}}(e,n,i,t.hierarchicalFacets))}))})),Object.keys(e.numericRefinements).forEach((function(t){var n=e.numericRefinements[t];Object.keys(n).forEach((function(e){n[e].forEach((function(n){r.push({type:"numeric",attributeName:t,name:n,numericValue:n,operator:e})}))}))})),e.tagRefinements.forEach((function(e){r.push({type:"tag",attributeName:"_tags",name:e})})),r},e.exports=v},9374:(e,t,r)=>{"use strict";var n=r(7775),i=r(3076),a=r(8078),s=r(6394),c=r(7331),u=r(4853),o=r(116),h=r(9803),f=r(185),l=r(4336),m=r(4039).escapeFacetValue;function d(e,t,r){"function"==typeof e.addAlgoliaAgent&&e.addAlgoliaAgent("JS Helper ("+l+")"),this.setClient(e);var i=r||{};i.index=t,this.state=n.make(i),this.lastResults=null,this._queryId=0,this._lastQueryIdReceived=-1,this.derivedHelpers=[],this._currentNbQueries=0}function p(e){if(e<0)throw new Error("Page requested below 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It is probably an error, if this is really what you want, you have to first clear the numeric filters."):null},m.prototype={constructor:m,clearRefinements:function(e){var t={numericRefinements:this._clearNumericRefinements(e),facetsRefinements:f.clearRefinement(this.facetsRefinements,e,"conjunctiveFacet"),facetsExcludes:f.clearRefinement(this.facetsExcludes,e,"exclude"),disjunctiveFacetsRefinements:f.clearRefinement(this.disjunctiveFacetsRefinements,e,"disjunctiveFacet"),hierarchicalFacetsRefinements:f.clearRefinement(this.hierarchicalFacetsRefinements,e,"hierarchicalFacet")};return t.numericRefinements===this.numericRefinements&&t.facetsRefinements===this.facetsRefinements&&t.facetsExcludes===this.facetsExcludes&&t.disjunctiveFacetsRefinements===this.disjunctiveFacetsRefinements&&t.hierarchicalFacetsRefinements===this.hierarchicalFacetsRefinements?this:this.setQueryParameters(t)},clearTags:function(){return void 0===this.tagFilters&&0===this.tagRefinements.length?this:this.setQueryParameters({tagFilters:void 0,tagRefinements:[]})},setIndex:function(e){return e===this.index?this:this.setQueryParameters({index:e})},setQuery:function(e){return e===this.query?this:this.setQueryParameters({query:e})},setPage:function(e){return e===this.page?this:this.setQueryParameters({page:e})},setFacets:function(e){return this.setQueryParameters({facets:e})},setDisjunctiveFacets:function(e){return this.setQueryParameters({disjunctiveFacets:e})},setHitsPerPage:function(e){return this.hitsPerPage===e?this:this.setQueryParameters({hitsPerPage:e})},setTypoTolerance:function(e){return this.typoTolerance===e?this:this.setQueryParameters({typoTolerance:e})},addNumericRefinement:function(e,t,r){var i=c(r);if(this.isNumericRefined(e,t,i))return this;var a=n({},this.numericRefinements);return a[e]=n({},a[e]),a[e][t]?(a[e][t]=a[e][t].slice(),a[e][t].push(i)):a[e][t]=[i],this.setQueryParameters({numericRefinements:a})},getConjunctiveRefinements:function(e){return this.isConjunctiveFacet(e)&&this.facetsRefinements[e]||[]},getDisjunctiveRefinements:function(e){return this.isDisjunctiveFacet(e)&&this.disjunctiveFacetsRefinements[e]||[]},getHierarchicalRefinement:function(e){return this.hierarchicalFacetsRefinements[e]||[]},getExcludeRefinements:function(e){return this.isConjunctiveFacet(e)&&this.facetsExcludes[e]||[]},removeNumericRefinement:function(e,t,r){var n=r;return void 0!==n?this.isNumericRefined(e,t,n)?this.setQueryParameters({numericRefinements:this._clearNumericRefinements((function(r,i){return i===e&&r.op===t&&l(r.val,c(n))}))}):this:void 0!==t?this.isNumericRefined(e,t)?this.setQueryParameters({numericRefinements:this._clearNumericRefinements((function(r,n){return n===e&&r.op===t}))}):this:this.isNumericRefined(e)?this.setQueryParameters({numericRefinements:this._clearNumericRefinements((function(t,r){return r===e}))}):this},getNumericRefinements:function(e){return this.numericRefinements[e]||{}},getNumericRefinement:function(e,t){return this.numericRefinements[e]&&this.numericRefinements[e][t]},_clearNumericRefinements:function(e){if(void 0===e)return o(this.numericRefinements)?{}:this.numericRefinements;if("string"==typeof e)return u(this.numericRefinements,[e]);if("function"==typeof e){var t=!1,r=this.numericRefinements,n=Object.keys(r).reduce((function(n,i){var a=r[i],s={};return a=a||{},Object.keys(a).forEach((function(r){var n=a[r]||[],c=[];n.forEach((function(t){e({val:t,op:r},i,"numeric")||c.push(t)})),c.length!==n.length&&(t=!0),s[r]=c})),n[i]=s,n}),{});return t?n:this.numericRefinements}},addFacet:function(e){return this.isConjunctiveFacet(e)?this:this.setQueryParameters({facets:this.facets.concat([e])})},addDisjunctiveFacet:function(e){return this.isDisjunctiveFacet(e)?this:this.setQueryParameters({disjunctiveFacets:this.disjunctiveFacets.concat([e])})},addHierarchicalFacet:function(e){if(this.isHierarchicalFacet(e.name))throw new Error("Cannot declare two hierarchical facets with the same name: `"+e.name+"`");return this.setQueryParameters({hierarchicalFacets:this.hierarchicalFacets.concat([e])})},addFacetRefinement:function(e,t){if(!this.isConjunctiveFacet(e))throw new Error(e+" is not defined in the facets attribute of the helper configuration");return f.isRefined(this.facetsRefinements,e,t)?this:this.setQueryParameters({facetsRefinements:f.addRefinement(this.facetsRefinements,e,t)})},addExcludeRefinement:function(e,t){if(!this.isConjunctiveFacet(e))throw new Error(e+" is not defined in the facets attribute of the helper configuration");return f.isRefined(this.facetsExcludes,e,t)?this:this.setQueryParameters({facetsExcludes:f.addRefinement(this.facetsExcludes,e,t)})},addDisjunctiveFacetRefinement:function(e,t){if(!this.isDisjunctiveFacet(e))throw new Error(e+" is not defined in the disjunctiveFacets attribute of the helper configuration");return f.isRefined(this.disjunctiveFacetsRefinements,e,t)?this:this.setQueryParameters({disjunctiveFacetsRefinements:f.addRefinement(this.disjunctiveFacetsRefinements,e,t)})},addTagRefinement:function(e){if(this.isTagRefined(e))return this;var t={tagRefinements:this.tagRefinements.concat(e)};return this.setQueryParameters(t)},removeFacet:function(e){return this.isConjunctiveFacet(e)?this.clearRefinements(e).setQueryParameters({facets:this.facets.filter((function(t){return t!==e}))}):this},removeDisjunctiveFacet:function(e){return this.isDisjunctiveFacet(e)?this.clearRefinements(e).setQueryParameters({disjunctiveFacets:this.disjunctiveFacets.filter((function(t){return t!==e}))}):this},removeHierarchicalFacet:function(e){return this.isHierarchicalFacet(e)?this.clearRefinements(e).setQueryParameters({hierarchicalFacets:this.hierarchicalFacets.filter((function(t){return t.name!==e}))}):this},removeFacetRefinement:function(e,t){if(!this.isConjunctiveFacet(e))throw new Error(e+" is not defined in the facets attribute of the helper configuration");return f.isRefined(this.facetsRefinements,e,t)?this.setQueryParameters({facetsRefinements:f.removeRefinement(this.facetsRefinements,e,t)}):this},removeExcludeRefinement:function(e,t){if(!this.isConjunctiveFacet(e))throw new Error(e+" is not defined in the facets attribute of the helper configuration");return f.isRefined(this.facetsExcludes,e,t)?this.setQueryParameters({facetsExcludes:f.removeRefinement(this.facetsExcludes,e,t)}):this},removeDisjunctiveFacetRefinement:function(e,t){if(!this.isDisjunctiveFacet(e))throw new Error(e+" is not defined in the disjunctiveFacets attribute of the helper configuration");return f.isRefined(this.disjunctiveFacetsRefinements,e,t)?this.setQueryParameters({disjunctiveFacetsRefinements:f.removeRefinement(this.disjunctiveFacetsRefinements,e,t)}):this},removeTagRefinement:function(e){if(!this.isTagRefined(e))return this;var t={tagRefinements:this.tagRefinements.filter((function(t){return t!==e}))};return this.setQueryParameters(t)},toggleRefinement:function(e,t){return this.toggleFacetRefinement(e,t)},toggleFacetRefinement:function(e,t){if(this.isHierarchicalFacet(e))return this.toggleHierarchicalFacetRefinement(e,t);if(this.isConjunctiveFacet(e))return this.toggleConjunctiveFacetRefinement(e,t);if(this.isDisjunctiveFacet(e))return this.toggleDisjunctiveFacetRefinement(e,t);throw new Error("Cannot refine the undeclared facet "+e+"; it should be added to the helper options facets, disjunctiveFacets or hierarchicalFacets")},toggleConjunctiveFacetRefinement:function(e,t){if(!this.isConjunctiveFacet(e))throw new Error(e+" is not defined in the facets attribute of the helper configuration");return this.setQueryParameters({facetsRefinements:f.toggleRefinement(this.facetsRefinements,e,t)})},toggleExcludeFacetRefinement:function(e,t){if(!this.isConjunctiveFacet(e))throw new Error(e+" is not defined in the facets attribute of the helper configuration");return this.setQueryParameters({facetsExcludes:f.toggleRefinement(this.facetsExcludes,e,t)})},toggleDisjunctiveFacetRefinement:function(e,t){if(!this.isDisjunctiveFacet(e))throw new Error(e+" is not defined in the disjunctiveFacets attribute of the helper configuration");return this.setQueryParameters({disjunctiveFacetsRefinements:f.toggleRefinement(this.disjunctiveFacetsRefinements,e,t)})},toggleHierarchicalFacetRefinement:function(e,t){if(!this.isHierarchicalFacet(e))throw new Error(e+" is not defined in the hierarchicalFacets attribute of the helper configuration");var r=this._getHierarchicalFacetSeparator(this.getHierarchicalFacetByName(e)),n={};return void 0!==this.hierarchicalFacetsRefinements[e]&&this.hierarchicalFacetsRefinements[e].length>0&&(this.hierarchicalFacetsRefinements[e][0]===t||0===this.hierarchicalFacetsRefinements[e][0].indexOf(t+r))?-1===t.indexOf(r)?n[e]=[]:n[e]=[t.slice(0,t.lastIndexOf(r))]:n[e]=[t],this.setQueryParameters({hierarchicalFacetsRefinements:i({},n,this.hierarchicalFacetsRefinements)})},addHierarchicalFacetRefinement:function(e,t){if(this.isHierarchicalFacetRefined(e))throw new Error(e+" is already refined.");if(!this.isHierarchicalFacet(e))throw new Error(e+" is not defined in the hierarchicalFacets attribute of the helper configuration.");var r={};return r[e]=[t],this.setQueryParameters({hierarchicalFacetsRefinements:i({},r,this.hierarchicalFacetsRefinements)})},removeHierarchicalFacetRefinement:function(e){if(!this.isHierarchicalFacetRefined(e))return this;var t={};return t[e]=[],this.setQueryParameters({hierarchicalFacetsRefinements:i({},t,this.hierarchicalFacetsRefinements)})},toggleTagRefinement:function(e){return this.isTagRefined(e)?this.removeTagRefinement(e):this.addTagRefinement(e)},isDisjunctiveFacet:function(e){return this.disjunctiveFacets.indexOf(e)>-1},isHierarchicalFacet:function(e){return void 0!==this.getHierarchicalFacetByName(e)},isConjunctiveFacet:function(e){return this.facets.indexOf(e)>-1},isFacetRefined:function(e,t){return!!this.isConjunctiveFacet(e)&&f.isRefined(this.facetsRefinements,e,t)},isExcludeRefined:function(e,t){return!!this.isConjunctiveFacet(e)&&f.isRefined(this.facetsExcludes,e,t)},isDisjunctiveFacetRefined:function(e,t){return!!this.isDisjunctiveFacet(e)&&f.isRefined(this.disjunctiveFacetsRefinements,e,t)},isHierarchicalFacetRefined:function(e,t){if(!this.isHierarchicalFacet(e))return!1;var r=this.getHierarchicalRefinement(e);return t?-1!==r.indexOf(t):r.length>0},isNumericRefined:function(e,t,r){if(void 0===r&&void 0===t)return Boolean(this.numericRefinements[e]);var n=this.numericRefinements[e]&&void 0!==this.numericRefinements[e][t];if(void 0===r||!n)return n;var i,a,u=c(r),o=void 0!==(i=this.numericRefinements[e][t],a=u,s(i,(function(e){return l(e,a)})));return n&&o},isTagRefined:function(e){return-1!==this.tagRefinements.indexOf(e)},getRefinedDisjunctiveFacets:function(){var e=this,t=a(Object.keys(this.numericRefinements).filter((function(t){return Object.keys(e.numericRefinements[t]).length>0})),this.disjunctiveFacets);return Object.keys(this.disjunctiveFacetsRefinements).filter((function(t){return e.disjunctiveFacetsRefinements[t].length>0})).concat(t).concat(this.getRefinedHierarchicalFacets())},getRefinedHierarchicalFacets:function(){var e=this;return a(this.hierarchicalFacets.map((function(e){return e.name})),Object.keys(this.hierarchicalFacetsRefinements).filter((function(t){return e.hierarchicalFacetsRefinements[t].length>0})))},getUnrefinedDisjunctiveFacets:function(){var e=this.getRefinedDisjunctiveFacets();return this.disjunctiveFacets.filter((function(t){return-1===e.indexOf(t)}))},managedParameters:["index","facets","disjunctiveFacets","facetsRefinements","hierarchicalFacets","facetsExcludes","disjunctiveFacetsRefinements","numericRefinements","tagRefinements","hierarchicalFacetsRefinements"],getQueryParams:function(){var e=this.managedParameters,t={},r=this;return Object.keys(this).forEach((function(n){var i=r[n];-1===e.indexOf(n)&&void 0!==i&&(t[n]=i)})),t},setQueryParameter:function(e,t){if(this[e]===t)return this;var r={};return r[e]=t,this.setQueryParameters(r)},setQueryParameters:function(e){if(!e)return this;var t=m.validate(this,e);if(t)throw t;var r=this,n=m._parseNumbers(e),i=Object.keys(this).reduce((function(e,t){return e[t]=r[t],e}),{}),a=Object.keys(n).reduce((function(e,t){var r=void 0!==e[t],i=void 0!==n[t];return r&&!i?u(e,[t]):(i&&(e[t]=n[t]),e)}),i);return new this.constructor(a)},resetPage:function(){return void 0===this.page?this:this.setPage(0)},_getHierarchicalFacetSortBy:function(e){return e.sortBy||["isRefined:desc","name:asc"]},_getHierarchicalFacetSeparator:function(e){return e.separator||" > "},_getHierarchicalRootPath:function(e){return e.rootPath||null},_getHierarchicalShowParentLevel:function(e){return"boolean"!=typeof e.showParentLevel||e.showParentLevel},getHierarchicalFacetByName:function(e){return s(this.hierarchicalFacets,(function(t){return t.name===e}))},getHierarchicalFacetBreadcrumb:function(e){if(!this.isHierarchicalFacet(e))return[];var t=this.getHierarchicalRefinement(e)[0];if(!t)return[];var r=this._getHierarchicalFacetSeparator(this.getHierarchicalFacetByName(e));return t.split(r).map((function(e){return e.trim()}))},toString:function(){return JSON.stringify(this,null,2)}},e.exports=m},4194:(e,t,r)=>{"use strict";e.exports=function(e){return function(t,r){var s=e.hierarchicalFacets[r],o=e.hierarchicalFacetsRefinements[s.name]&&e.hierarchicalFacetsRefinements[s.name][0]||"",h=e._getHierarchicalFacetSeparator(s),f=e._getHierarchicalRootPath(s),l=e._getHierarchicalShowParentLevel(s),m=a(e._getHierarchicalFacetSortBy(s)),d=t.every((function(e){return e.exhaustive})),p=function(e,t,r,a,s){return function(o,h,f){var l=o;if(f>0){var m=0;for(l=o;m{"use strict";var n=r(185),i=r(2344),a=r(2148),s=r(4587),c=r(7888),u=r(9725),o=r(2293),h=r(4039),f=h.escapeFacetValue,l=h.unescapeFacetValue,m=r(4194);function d(e){var t={};return e.forEach((function(e,r){t[e]=r})),t}function p(e,t,r){t&&t[r]&&(e.stats=t[r])}function v(e,t,r){var a=t[0];this._rawResults=t;var o=this;Object.keys(a).forEach((function(e){o[e]=a[e]})),Object.keys(r||{}).forEach((function(e){o[e]=r[e]})),this.processingTimeMS=t.reduce((function(e,t){return void 0===t.processingTimeMS?e:e+t.processingTimeMS}),0),this.disjunctiveFacets=[],this.hierarchicalFacets=e.hierarchicalFacets.map((function(){return[]})),this.facets=[];var h=e.getRefinedDisjunctiveFacets(),f=d(e.facets),v=d(e.disjunctiveFacets),g=1,y=a.facets||{};Object.keys(y).forEach((function(t){var r,n,i=y[t],s=(r=e.hierarchicalFacets,n=t,c(r,(function(e){return(e.attributes||[]).indexOf(n)>-1})));if(s){var h=s.attributes.indexOf(t),l=u(e.hierarchicalFacets,(function(e){return e.name===s.name}));o.hierarchicalFacets[l][h]={attribute:t,data:i,exhaustive:a.exhaustiveFacetsCount}}else{var m,d=-1!==e.disjunctiveFacets.indexOf(t),g=-1!==e.facets.indexOf(t);d&&(m=v[t],o.disjunctiveFacets[m]={name:t,data:i,exhaustive:a.exhaustiveFacetsCount},p(o.disjunctiveFacets[m],a.facets_stats,t)),g&&(m=f[t],o.facets[m]={name:t,data:i,exhaustive:a.exhaustiveFacetsCount},p(o.facets[m],a.facets_stats,t))}})),this.hierarchicalFacets=s(this.hierarchicalFacets),h.forEach((function(r){var s=t[g],c=s&&s.facets?s.facets:{},h=e.getHierarchicalFacetByName(r);Object.keys(c).forEach((function(t){var r,f=c[t];if(h){r=u(e.hierarchicalFacets,(function(e){return e.name===h.name}));var m=u(o.hierarchicalFacets[r],(function(e){return e.attribute===t}));if(-1===m)return;o.hierarchicalFacets[r][m].data=n({},o.hierarchicalFacets[r][m].data,f)}else{r=v[t];var d=a.facets&&a.facets[t]||{};o.disjunctiveFacets[r]={name:t,data:i({},f,d),exhaustive:s.exhaustiveFacetsCount},p(o.disjunctiveFacets[r],s.facets_stats,t),e.disjunctiveFacetsRefinements[t]&&e.disjunctiveFacetsRefinements[t].forEach((function(n){!o.disjunctiveFacets[r].data[n]&&e.disjunctiveFacetsRefinements[t].indexOf(l(n))>-1&&(o.disjunctiveFacets[r].data[n]=0)}))}})),g++})),e.getRefinedHierarchicalFacets().forEach((function(r){var n=e.getHierarchicalFacetByName(r),a=e._getHierarchicalFacetSeparator(n),s=e.getHierarchicalRefinement(r);0===s.length||s[0].split(a).length<2||t.slice(g).forEach((function(t){var r=t&&t.facets?t.facets:{};Object.keys(r).forEach((function(t){var c=r[t],h=u(e.hierarchicalFacets,(function(e){return e.name===n.name})),f=u(o.hierarchicalFacets[h],(function(e){return e.attribute===t}));if(-1!==f){var l={};if(s.length>0){var m=s[0].split(a)[0];l[m]=o.hierarchicalFacets[h][f].data[m]}o.hierarchicalFacets[h][f].data=i(l,c,o.hierarchicalFacets[h][f].data)}})),g++}))})),Object.keys(e.facetsExcludes).forEach((function(t){var r=e.facetsExcludes[t],n=f[t];o.facets[n]={name:t,data:y[t],exhaustive:a.exhaustiveFacetsCount},r.forEach((function(e){o.facets[n]=o.facets[n]||{name:t},o.facets[n].data=o.facets[n].data||{},o.facets[n].data[e]=0}))})),this.hierarchicalFacets=this.hierarchicalFacets.map(m(e)),this.facets=s(this.facets),this.disjunctiveFacets=s(this.disjunctiveFacets),this._state=e}function g(e,t){function r(e){return e.name===t}if(e._state.isConjunctiveFacet(t)){var n=c(e.facets,r);return n?Object.keys(n.data).map((function(r){var 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this._change({state:this.state.resetPage().addTagRefinement(e),isPageReset:!0}),this},d.prototype.removeNumericRefinement=function(e,t,r){return this._change({state:this.state.resetPage().removeNumericRefinement(e,t,r),isPageReset:!0}),this},d.prototype.removeDisjunctiveFacetRefinement=function(e,t){return this._change({state:this.state.resetPage().removeDisjunctiveFacetRefinement(e,t),isPageReset:!0}),this},d.prototype.removeDisjunctiveRefine=function(){return this.removeDisjunctiveFacetRefinement.apply(this,arguments)},d.prototype.removeHierarchicalFacetRefinement=function(e){return this._change({state:this.state.resetPage().removeHierarchicalFacetRefinement(e),isPageReset:!0}),this},d.prototype.removeFacetRefinement=function(e,t){return this._change({state:this.state.resetPage().removeFacetRefinement(e,t),isPageReset:!0}),this},d.prototype.removeRefine=function(){return this.removeFacetRefinement.apply(this,arguments)},d.prototype.removeFacetExclusion=function(e,t){return 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a.languages.reason.function,function(e){e.languages.sass=e.languages.extend("css",{comment:{pattern:/^([ \t]*)\/[\/*].*(?:(?:\r?\n|\r)\1[ \t].+)*/m,lookbehind:!0,greedy:!0}}),e.languages.insertBefore("sass","atrule",{"atrule-line":{pattern:/^(?:[ \t]*)[@+=].+/m,greedy:!0,inside:{atrule:/(?:@[\w-]+|[+=])/}}}),delete e.languages.sass.atrule;var t=/\$[-\w]+|#\{\$[-\w]+\}/,n=[/[+*\/%]|[=!]=|<=?|>=?|\b(?:and|not|or)\b/,{pattern:/(\s)-(?=\s)/,lookbehind:!0}];e.languages.insertBefore("sass","property",{"variable-line":{pattern:/^[ \t]*\$.+/m,greedy:!0,inside:{punctuation:/:/,variable:t,operator:n}},"property-line":{pattern:/^[ \t]*(?:[^:\s]+ *:.*|:[^:\s].*)/m,greedy:!0,inside:{property:[/[^:\s]+(?=\s*:)/,{pattern:/(:)[^:\s]+/,lookbehind:!0}],punctuation:/:/,variable:t,operator:n,important:e.languages.sass.important}}}),delete e.languages.sass.property,delete e.languages.sass.important,e.languages.insertBefore("sass","punctuation",{selector:{pattern:/^([ 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t={pattern:/(\b\d+)(?:%|[a-z]+)/,lookbehind:!0},n={pattern:/(^|[^\w.-])-?(?:\d+(?:\.\d+)?|\.\d+)/,lookbehind:!0},r={comment:{pattern:/(^|[^\\])(?:\/\*[\s\S]*?\*\/|\/\/.*)/,lookbehind:!0},url:{pattern:/\burl\((["']?).*?\1\)/i,greedy:!0},string:{pattern:/("|')(?:(?!\1)[^\\\r\n]|\\(?:\r\n|[\s\S]))*\1/,greedy:!0},interpolation:null,func:null,important:/\B!(?:important|optional)\b/i,keyword:{pattern:/(^|\s+)(?:(?:else|for|if|return|unless)(?=\s|$)|@[\w-]+)/,lookbehind:!0},hexcode:/#[\da-f]{3,6}/i,color:[/\b(?:AliceBlue|AntiqueWhite|Aqua|Aquamarine|Azure|Beige|Bisque|Black|BlanchedAlmond|Blue|BlueViolet|Brown|BurlyWood|CadetBlue|Chartreuse|Chocolate|Coral|CornflowerBlue|Cornsilk|Crimson|Cyan|DarkBlue|DarkCyan|DarkGoldenRod|DarkGr[ae]y|DarkGreen|DarkKhaki|DarkMagenta|DarkOliveGreen|DarkOrange|DarkOrchid|DarkRed|DarkSalmon|DarkSeaGreen|DarkSlateBlue|DarkSlateGr[ae]y|DarkTurquoise|DarkViolet|DeepPink|DeepSkyBlue|DimGr[ae]y|DodgerBlue|FireBrick|FloralWhite|ForestGreen|Fuchsia|Gainsboro|GhostWhite|Gold|GoldenRod|Gr[ae]y|Green|GreenYellow|HoneyDew|HotPink|IndianRed|Indigo|Ivory|Khaki|Lavender|LavenderBlush|LawnGreen|LemonChiffon|LightBlue|LightCoral|LightCyan|LightGoldenRodYellow|LightGr[ae]y|LightGreen|LightPink|LightSalmon|LightSeaGreen|LightSkyBlue|LightSlateGr[ae]y|LightSteelBlue|LightYellow|Lime|LimeGreen|Linen|Magenta|Maroon|MediumAquaMarine|MediumBlue|MediumOrchid|MediumPurple|MediumSeaGreen|MediumSlateBlue|MediumSpringGreen|MediumTurquoise|MediumVioletRed|MidnightBlue|MintCream|MistyRose|Moccasin|NavajoWhite|Navy|OldLace|Olive|OliveDrab|Orange|OrangeRed|Orchid|PaleGoldenRod|PaleGreen|PaleTurquoise|PaleVioletRed|PapayaWhip|PeachPuff|Peru|Pink|Plum|PowderBlue|Purple|Red|RosyBrown|RoyalBlue|SaddleBrown|Salmon|SandyBrown|SeaGreen|SeaShell|Sienna|Silver|SkyBlue|SlateBlue|SlateGr[ae]y|Snow|SpringGreen|SteelBlue|Tan|Teal|Thistle|Tomato|Transparent|Turquoise|Violet|Wheat|White|WhiteSmoke|Yellow|YellowGreen)\b/i,{pattern:/\b(?:hsl|rgb)\(\s*\d{1,3}\s*,\s*\d{1,3}%?\s*,\s*\d{1,3}%?\s*\)\B|\b(?:hsl|rgb)a\(\s*\d{1,3}\s*,\s*\d{1,3}%?\s*,\s*\d{1,3}%?\s*,\s*(?:0|0?\.\d+|1)\s*\)\B/i,inside:{unit:t,number:n,function:/[\w-]+(?=\()/,punctuation:/[(),]/}}],entity:/\\[\da-f]{1,8}/i,unit:t,boolean:/\b(?:false|true)\b/,operator:[/~|[+!\/%<>?=]=?|[-:]=|\*[*=]?|\.{2,3}|&&|\|\||\B-\B|\b(?:and|in|is(?: 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o=a},7046:()=>{Prism.languages.go=Prism.languages.extend("clike",{string:{pattern:/(^|[^\\])"(?:\\.|[^"\\\r\n])*"|`[^`]*`/,lookbehind:!0,greedy:!0},keyword:/\b(?:break|case|chan|const|continue|default|defer|else|fallthrough|for|func|go(?:to)?|if|import|interface|map|package|range|return|select|struct|switch|type|var)\b/,boolean:/\b(?:_|false|iota|nil|true)\b/,number:[/\b0(?:b[01_]+|o[0-7_]+)i?\b/i,/\b0x(?:[a-f\d_]+(?:\.[a-f\d_]*)?|\.[a-f\d_]+)(?:p[+-]?\d+(?:_\d+)*)?i?(?!\w)/i,/(?:\b\d[\d_]*(?:\.[\d_]*)?|\B\.\d[\d_]*)(?:e[+-]?[\d_]+)?i?(?!\w)/i],operator:/[*\/%^!=]=?|\+[=+]?|-[=-]?|\|[=|]?|&(?:=|&|\^=?)?|>(?:>=?|=)?|<(?:<=?|=|-)?|:=|\.\.\./,builtin:/\b(?:append|bool|byte|cap|close|complex|complex(?:64|128)|copy|delete|error|float(?:32|64)|u?int(?:8|16|32|64)?|imag|len|make|new|panic|print(?:ln)?|real|recover|rune|string|uintptr)\b/}),Prism.languages.insertBefore("go","string",{char:{pattern:/'(?:\\.|[^'\\\r\n]){0,10}'/,greedy:!0}}),delete 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a.languages.reason.function,function(e){e.languages.sass=e.languages.extend("css",{comment:{pattern:/^([ \t]*)\/[\/*].*(?:(?:\r?\n|\r)\1[ \t].+)*/m,lookbehind:!0,greedy:!0}}),e.languages.insertBefore("sass","atrule",{"atrule-line":{pattern:/^(?:[ \t]*)[@+=].+/m,greedy:!0,inside:{atrule:/(?:@[\w-]+|[+=])/}}}),delete e.languages.sass.atrule;var t=/\$[-\w]+|#\{\$[-\w]+\}/,n=[/[+*\/%]|[=!]=|<=?|>=?|\b(?:and|not|or)\b/,{pattern:/(\s)-(?=\s)/,lookbehind:!0}];e.languages.insertBefore("sass","property",{"variable-line":{pattern:/^[ \t]*\$.+/m,greedy:!0,inside:{punctuation:/:/,variable:t,operator:n}},"property-line":{pattern:/^[ \t]*(?:[^:\s]+ *:.*|:[^:\s].*)/m,greedy:!0,inside:{property:[/[^:\s]+(?=\s*:)/,{pattern:/(:)[^:\s]+/,lookbehind:!0}],punctuation:/:/,variable:t,operator:n,important:e.languages.sass.important}}}),delete e.languages.sass.property,delete e.languages.sass.important,e.languages.insertBefore("sass","punctuation",{selector:{pattern:/^([ 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t={pattern:/(\b\d+)(?:%|[a-z]+)/,lookbehind:!0},n={pattern:/(^|[^\w.-])-?(?:\d+(?:\.\d+)?|\.\d+)/,lookbehind:!0},r={comment:{pattern:/(^|[^\\])(?:\/\*[\s\S]*?\*\/|\/\/.*)/,lookbehind:!0},url:{pattern:/\burl\((["']?).*?\1\)/i,greedy:!0},string:{pattern:/("|')(?:(?!\1)[^\\\r\n]|\\(?:\r\n|[\s\S]))*\1/,greedy:!0},interpolation:null,func:null,important:/\B!(?:important|optional)\b/i,keyword:{pattern:/(^|\s+)(?:(?:else|for|if|return|unless)(?=\s|$)|@[\w-]+)/,lookbehind:!0},hexcode:/#[\da-f]{3,6}/i,color:[/\b(?:AliceBlue|AntiqueWhite|Aqua|Aquamarine|Azure|Beige|Bisque|Black|BlanchedAlmond|Blue|BlueViolet|Brown|BurlyWood|CadetBlue|Chartreuse|Chocolate|Coral|CornflowerBlue|Cornsilk|Crimson|Cyan|DarkBlue|DarkCyan|DarkGoldenRod|DarkGr[ae]y|DarkGreen|DarkKhaki|DarkMagenta|DarkOliveGreen|DarkOrange|DarkOrchid|DarkRed|DarkSalmon|DarkSeaGreen|DarkSlateBlue|DarkSlateGr[ae]y|DarkTurquoise|DarkViolet|DeepPink|DeepSkyBlue|DimGr[ae]y|DodgerBlue|FireBrick|FloralWhite|ForestGreen|Fuchsia|Gainsboro|GhostWhite|Gold|GoldenRod|Gr[ae]y|Green|GreenYellow|HoneyDew|HotPink|IndianRed|Indigo|Ivory|Khaki|Lavender|LavenderBlush|LawnGreen|LemonChiffon|LightBlue|LightCoral|LightCyan|LightGoldenRodYellow|LightGr[ae]y|LightGreen|LightPink|LightSalmon|LightSeaGreen|LightSkyBlue|LightSlateGr[ae]y|LightSteelBlue|LightYellow|Lime|LimeGreen|Linen|Magenta|Maroon|MediumAquaMarine|MediumBlue|MediumOrchid|MediumPurple|MediumSeaGreen|MediumSlateBlue|MediumSpringGreen|MediumTurquoise|MediumVioletRed|MidnightBlue|MintCream|MistyRose|Moccasin|NavajoWhite|Navy|OldLace|Olive|OliveDrab|Orange|OrangeRed|Orchid|PaleGoldenRod|PaleGreen|PaleTurquoise|PaleVioletRed|PapayaWhip|PeachPuff|Peru|Pink|Plum|PowderBlue|Purple|Red|RosyBrown|RoyalBlue|SaddleBrown|Salmon|SandyBrown|SeaGreen|SeaShell|Sienna|Silver|SkyBlue|SlateBlue|SlateGr[ae]y|Snow|SpringGreen|SteelBlue|Tan|Teal|Thistle|Tomato|Transparent|Turquoise|Violet|Wheat|White|WhiteSmoke|Yellow|YellowGreen)\b/i,{pattern:/\b(?:hsl|rgb)\(\s*\d{1,3}\s*,\s*\d{1,3}%?\s*,\s*\d{1,3}%?\s*\)\B|\b(?:hsl|rgb)a\(\s*\d{1,3}\s*,\s*\d{1,3}%?\s*,\s*\d{1,3}%?\s*,\s*(?:0|0?\.\d+|1)\s*\)\B/i,inside:{unit:t,number:n,function:/[\w-]+(?=\()/,punctuation:/[(),]/}}],entity:/\\[\da-f]{1,8}/i,unit:t,boolean:/\b(?:false|true)\b/,operator:[/~|[+!\/%<>?=]=?|[-:]=|\*[*=]?|\.{2,3}|&&|\|\||\B-\B|\b(?:and|in|is(?: 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o=a},7046:()=>{Prism.languages.go=Prism.languages.extend("clike",{string:{pattern:/(^|[^\\])"(?:\\.|[^"\\\r\n])*"|`[^`]*`/,lookbehind:!0,greedy:!0},keyword:/\b(?:break|case|chan|const|continue|default|defer|else|fallthrough|for|func|go(?:to)?|if|import|interface|map|package|range|return|select|struct|switch|type|var)\b/,boolean:/\b(?:_|false|iota|nil|true)\b/,number:[/\b0(?:b[01_]+|o[0-7_]+)i?\b/i,/\b0x(?:[a-f\d_]+(?:\.[a-f\d_]*)?|\.[a-f\d_]+)(?:p[+-]?\d+(?:_\d+)*)?i?(?!\w)/i,/(?:\b\d[\d_]*(?:\.[\d_]*)?|\B\.\d[\d_]*)(?:e[+-]?[\d_]+)?i?(?!\w)/i],operator:/[*\/%^!=]=?|\+[=+]?|-[=-]?|\|[=|]?|&(?:=|&|\^=?)?|>(?:>=?|=)?|<(?:<=?|=|-)?|:=|\.\.\./,builtin:/\b(?:append|bool|byte|cap|close|complex|complex(?:64|128)|copy|delete|error|float(?:32|64)|u?int(?:8|16|32|64)?|imag|len|make|new|panic|print(?:ln)?|real|recover|rune|string|uintptr)\b/}),Prism.languages.insertBefore("go","string",{char:{pattern:/'(?:\\.|[^'\\\r\n]){0,10}'/,greedy:!0}}),delete 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+2,20 @@ <html lang="en" dir="ltr" class="mdx-wrapper mdx-page plugin-pages plugin-id-default"> <head> <meta charset="UTF-8"> -<meta name="generator" content="Docusaurus v2.4.0"> +<meta name="generator" content="Docusaurus v2.4.1"> <title data-rh="true">Awesome list of software | foomo project docs - - - + + +
-

Awesome list of software

A list of commercial and open source software we use, because it is awesome.


desktop software​

devtools​

IDEs​

creative tools​

cli utilities​

k8s / docker​

backup​

software as a service​

productivity / collaboration​

CMS​

- - +

Awesome list of software

A list of commercial and open source software we use, because it is awesome.


desktop software​

devtools​

IDEs​

creative tools​

cli utilities​

k8s / docker​

backup​

software as a service​

productivity / collaboration​

CMS​

+ + \ No newline at end of file diff --git a/blog.html b/blog.html index 8c05b09..3721265 100644 --- a/blog.html +++ b/blog.html @@ -2,19 +2,19 @@ - + Blog | foomo project docs - - - + + +
-

Cristian Vidmar
Philipp Mieden

Go has extensive support for concurrency through goroutines and channels. This feature allows programs to progress on several tasks at the same time but it requires some extra care to prevent situations where multiple goroutines might collide and lead to a panic. These are known as race conditions and they happen when a shared variable is read and written at the same time by two different routines. A typical example is a concurrent read/write of a map in memory.

To illustrate an example let's consider gocontentful, the code generator that creates an API to access a Contentful CMS from go. The generated API uses an in-memory cache to store a copy of a Contentful space and some extra data structures to allow go programs to access Contentful data, inspect and resolve references and so on. In a typical scenario, the client is used in a service that responds to HTTP calls and makes heavy use of concurrency because it needs to be able, at the same time, to:

  • Read entries, assets and references from the cache
  • Update/Delete single entities and their connections with others (for example the map of parent entries)
  • Incrementally sync the content of the cache with data changes coming from Contentful
  • Rebuild the cache entirely and swap the existing one with a new copy

In addition, for performance reasons, when the cache is created or rebuilt the gocontentful client spawns up to four goroutines to download chunks of data in parallel across the Internet, dynamically selecting the size the sorting of the chunks to leverage the maximum parallelism.

Detecting race conditions through unit tests​

We experienced race conditions with the client in the past, and we fixed them to maintain it production-ready with every new version. To help with this, we included a testing framework in gocontentful that generates a sample API from a local export of a Contentful space and then runs several unit tests that, among others, test the client for concurrency safety:

make test

One of these unit tests spawns tens of thousands of goroutines to concurrently read, write and inspect the references of specific entries while at the same time keeps rebuilding the cache. From the screenshot above we see that no race condition is shown. Even at this concurrency level, though there's no guarantee that running

go test ./...

will be enough to generate a collision. What we really want to do is to add a new parameter to enable the go race detector with

go test -race ./...

(In gocontentful you can run make race to fire up both the API generation and the race test)

From the documentation at https://go.dev/blog/race-detector:

When the -race command-line flag is set, the compiler instruments all memory accesses with code that records when and how the memory was accessed, while the runtime library watches for unsynchronized accesses to shared variables. When such “racy” behavior is detected, a warning is printed.

Running this in gocontentful shows that we indeed have a potential collision condition:

Race condition

Note: After you run this test you'll want to search for "race" inside the terminal output. Make sure you enable a very long (if not infinite) scrollback or you might miss some hits.

The race detector reports the filenames and lines of code that generated the race condition. Looking at those lines in our example shows that a field of the cache (the "offline" boolean) is written protecting it with a proper mutex lock but the lock handling is missing around the read operation:

Read access

Write access

The fix is very simple but in this particular case the offline flag is read and then a 2 seconds delay is started. Deferring the unlock would keep the variable locked for far too long, so we will read-lock it only for the time needed to copy its value to a local variable:

Fix race condition

After fixing the issue in the generator templates and regenerating the code, the tests with the race detector run fine. In gocontentful this can be done all in one step with make race:

No race condition

Test coverage​

That was nice! But how do we know if we're covering all test cases? Go has been supporting test code coverage since 1.12 through the -cover option. We can also limit the coverage to a specific package. In our case, we're only interested in the testapi sub-package because we want to test the generated API, not the generator itself.

go test -cover -coverpkg=./test/testapi ./...

Let's try and run the tests with coverage:

Basic coverage

The summary shows we are only covering 22% of the code. The goal is not to cover 100%, some parts only work online calling the actual API of a real Contentful space, but we definitely have room for improvement.

The question is: how do we know exactly which lines of code we're covering through the test suite? Again, go test comes to the rescue through another option: -coverprofile lets us specify an output file that will contain references to each single line of code involved in the analysis. It is a text file, but not very readable:

github.com/foom...tapi/gocontentfulvolibproduct.go:21.86,22.15 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:25.2,25.18 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:28.2,29.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:32.2,33.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:36.2,37.37 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:40.2,40.24 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:22.15,24.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:25.18,27.3 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:29.16,31.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:33.16,35.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:37.37,39.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:43.114,44.35 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:47.2,48.18 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:51.2,53.16 3 0
github.com/foom...tapi/gocontentfulvolibproduct.go:56.2,57.16 2 0
...

We can use go tool to convert it to a much better representation in HTML:

go tool cover -html=cover.out -o cover.html

Opening this file in a browser reveals a lot of useful information:

Coverage HTML

At the top left of the page there's a menu where we can select from all the files analyzed, listed along with the percentage of coverage for each one. Inside every file the lines covered by the tests are green while the red ones are not covered. In the example above we can see that the getAllAssets function is covered but it includes an else condition that is never met.

In gocontentful (starting from 1.0.18) we can generate the test API, run the tests with coverage, convert the output file and open it in the browser with a single command:

make cover

As stated above, not necessarily 100% of the code needs to be covered by the tests, but this view in combination with the race detector gives us incredibly useful information to make the code more solid.

Patrick Buchner
Boštjan Marušič

Intro​

Calculating with money can be tricky if not taken proper precautions. Some might be tempted to use float representation for calculating with currency values. That is problematic because of possible rounding errors.

Finite accuracy of representation​

Floating points are represented like this

Floating point representation

Not every number can be represented with a finite number of decimal places

0.01 —> 0.0000011001100110011…

Taking 17 places of the above results in 0.010000000000000001

Consider the following code snipet that shows the missing accuracy

func main() {

  var n float64 = 0

  for i := 0; i < 1000; i++ {
    n += .01
  }

  fmt.Println(n)

}

Result: 9.999999999999831

Money computations​

They can't be done with floating-point as it would inevitably lead to rounding errors.

Even the following packages are problematic:

github.com/shopspring/decimal

github.com/Rhymond/go-money

a := decimal.NewFromInt(2)
b := decimal.NewFromFloat(300.99)
c := a.Mul(b)
d := c.Div(decimal.NewFromInt(3))

Solution​

Use Int by representing money in cents:

  • 10.99 -> 1099 (cents)
  • 10.9900 -> 109900 (4 digit tax)

Conclusion​

Division is a problem!

1/3 - > 0.33333333… +

Cristian Vidmar
Philipp Mieden

Go has extensive support for concurrency through goroutines and channels. This feature allows programs to progress on several tasks at the same time but it requires some extra care to prevent situations where multiple goroutines might collide and lead to a panic. These are known as race conditions and they happen when a shared variable is read and written at the same time by two different routines. A typical example is a concurrent read/write of a map in memory.

To illustrate an example let's consider gocontentful, the code generator that creates an API to access a Contentful CMS from go. The generated API uses an in-memory cache to store a copy of a Contentful space and some extra data structures to allow go programs to access Contentful data, inspect and resolve references and so on. In a typical scenario, the client is used in a service that responds to HTTP calls and makes heavy use of concurrency because it needs to be able, at the same time, to:

  • Read entries, assets and references from the cache
  • Update/Delete single entities and their connections with others (for example the map of parent entries)
  • Incrementally sync the content of the cache with data changes coming from Contentful
  • Rebuild the cache entirely and swap the existing one with a new copy

In addition, for performance reasons, when the cache is created or rebuilt the gocontentful client spawns up to four goroutines to download chunks of data in parallel across the Internet, dynamically selecting the size the sorting of the chunks to leverage the maximum parallelism.

Detecting race conditions through unit tests​

We experienced race conditions with the client in the past, and we fixed them to maintain it production-ready with every new version. To help with this, we included a testing framework in gocontentful that generates a sample API from a local export of a Contentful space and then runs several unit tests that, among others, test the client for concurrency safety:

make test

One of these unit tests spawns tens of thousands of goroutines to concurrently read, write and inspect the references of specific entries while at the same time keeps rebuilding the cache. From the screenshot above we see that no race condition is shown. Even at this concurrency level, though there's no guarantee that running

go test ./...

will be enough to generate a collision. What we really want to do is to add a new parameter to enable the go race detector with

go test -race ./...

(In gocontentful you can run make race to fire up both the API generation and the race test)

From the documentation at https://go.dev/blog/race-detector:

When the -race command-line flag is set, the compiler instruments all memory accesses with code that records when and how the memory was accessed, while the runtime library watches for unsynchronized accesses to shared variables. When such “racy” behavior is detected, a warning is printed.

Running this in gocontentful shows that we indeed have a potential collision condition:

Race condition

Note: After you run this test you'll want to search for "race" inside the terminal output. Make sure you enable a very long (if not infinite) scrollback or you might miss some hits.

The race detector reports the filenames and lines of code that generated the race condition. Looking at those lines in our example shows that a field of the cache (the "offline" boolean) is written protecting it with a proper mutex lock but the lock handling is missing around the read operation:

Read access

Write access

The fix is very simple but in this particular case the offline flag is read and then a 2 seconds delay is started. Deferring the unlock would keep the variable locked for far too long, so we will read-lock it only for the time needed to copy its value to a local variable:

Fix race condition

After fixing the issue in the generator templates and regenerating the code, the tests with the race detector run fine. In gocontentful this can be done all in one step with make race:

No race condition

Test coverage​

That was nice! But how do we know if we're covering all test cases? Go has been supporting test code coverage since 1.12 through the -cover option. We can also limit the coverage to a specific package. In our case, we're only interested in the testapi sub-package because we want to test the generated API, not the generator itself.

go test -cover -coverpkg=./test/testapi ./...

Let's try and run the tests with coverage:

Basic coverage

The summary shows we are only covering 22% of the code. The goal is not to cover 100%, some parts only work online calling the actual API of a real Contentful space, but we definitely have room for improvement.

The question is: how do we know exactly which lines of code we're covering through the test suite? Again, go test comes to the rescue through another option: -coverprofile lets us specify an output file that will contain references to each single line of code involved in the analysis. It is a text file, but not very readable:

github.com/foom...tapi/gocontentfulvolibproduct.go:21.86,22.15 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:25.2,25.18 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:28.2,29.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:32.2,33.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:36.2,37.37 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:40.2,40.24 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:22.15,24.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:25.18,27.3 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:29.16,31.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:33.16,35.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:37.37,39.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:43.114,44.35 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:47.2,48.18 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:51.2,53.16 3 0
github.com/foom...tapi/gocontentfulvolibproduct.go:56.2,57.16 2 0
...

We can use go tool to convert it to a much better representation in HTML:

go tool cover -html=cover.out -o cover.html

Opening this file in a browser reveals a lot of useful information:

Coverage HTML

At the top left of the page there's a menu where we can select from all the files analyzed, listed along with the percentage of coverage for each one. Inside every file the lines covered by the tests are green while the red ones are not covered. In the example above we can see that the getAllAssets function is covered but it includes an else condition that is never met.

In gocontentful (starting from 1.0.18) we can generate the test API, run the tests with coverage, convert the output file and open it in the browser with a single command:

make cover

As stated above, not necessarily 100% of the code needs to be covered by the tests, but this view in combination with the race detector gives us incredibly useful information to make the code more solid.

Patrick Buchner
Boštjan Marušič

Intro​

Calculating with money can be tricky if not taken proper precautions. Some might be tempted to use float representation for calculating with currency values. That is problematic because of possible rounding errors.

Finite accuracy of representation​

Floating points are represented like this

Floating point representation

Not every number can be represented with a finite number of decimal places

0.01 —> 0.0000011001100110011…

Taking 17 places of the above results in 0.010000000000000001

Consider the following code snipet that shows the missing accuracy

func main() {

  var n float64 = 0

  for i := 0; i < 1000; i++ {
    n += .01
  }

  fmt.Println(n)

}

Result: 9.999999999999831

Money computations​

They can't be done with floating-point as it would inevitably lead to rounding errors.

Even the following packages are problematic:

github.com/shopspring/decimal

github.com/Rhymond/go-money

a := decimal.NewFromInt(2)
b := decimal.NewFromFloat(300.99)
c := a.Mul(b)
d := c.Div(decimal.NewFromInt(3))

Solution​

Use Int by representing money in cents:

  • 10.99 -> 1099 (cents)
  • 10.9900 -> 109900 (4 digit tax)

Conclusion​

Division is a problem!

1/3 - > 0.33333333… Correct way: 0.33, 0.33, 0.34

When doing money calculations one should avoid division as it inevitably leads to loss of accuracy. When dividing make sure to round to cent and deal with diffs.

Division by 10^k is ok as long as we are inside of the range of the data type.

Nicola Turcato

Intro​

JavaScript is parsed, compiled and executed in the main thread of the browser. Which means that users have to wait for all of this before they can interact with the website.

Frontend performance optimization is critical because it accounts for around 80-90% of user response time (10-20% backend). So when a user is waiting for a page to load, around 80-90% of the time is due to frontend related code and assets.

Nobody likes waiting…​

A study found that if a site takes longer than 4 seconds to load, up to 25% of users would abandon the site.

Sending large JavaScript payloads impacts the speed of your site significantly.

Mazzarri

What is a "bundle"?​

Your frontend application needs a bunch of JS files to run. These files can be in the format of internal dependency like the JS files you have written yourself. But they can also be external dependencies you use to build your application.

JS bundling is an optimization technique to reduce the number of server requests for JavaScript files. Bundling accomplishes this by merging multiple JA files together into one file to reduce the number of page requests.

Bundle Everywhere

Performance implications​

  • Time to transmit over the network: considering slow connections with some mobile devices, it's possible that your page will not be interactive until it loads.-> More bytes = longer download times
  • JS parse and compile time: more code you load, more the browser must parse.-> JS gets parsed and compiled on the main thread, when the main thread is busy, the page can't respond to user input
  • JS execution time: optimally you will only pack the code that you expect to execute. The more code you want to execute the longer it will take. It's possible that your page won't be interactive until some of this completes.-> JS is also executed on the main thread, if your page runs a lot of code before it's really needed, that also delays your Time to Interactive
  • Memory consumption: everything fills up the space -> code itself, runtime variables, DOM elements created, etc.-> Pages appear slow when it consumes a lot of memory. Memory leaks can cause your page to freeze up completely!!

AS SMALL AS POSSIBLE! I experienced that is not really possible to give a precise answer because each application is different. Generally you want the resources on initial load to be as small as possible, so that you decrease the initial load time, and then load more resources as needed on the fly.

Mr Chao

What do we do then?​

Meh

How to start decreasing the bundle size?​

  • Measure: first of all you want to measure. The first step is to use Lighthouse and try to understand the results. It will give you a couple of interesting metrics and some tips. Time to interactive (TTI) is a good reflection of your bundle size because your bundle needs to be evaluated entirely before a user can interact with your web app.
  • Analyze: Consists on analyzing the bundle in order to detect critical chunks. A useful tool is Webpack Bundle Analyzer.

Stonks

Breaking up the bundle...​

  • Monitor network requests: These happens between our FCP and TTI. As the initial request for data often occurs when our components initially mount.
  • Reduce the total dom nodes: the less the page needs to render, the less time it takes.
  • Moving work off the main thread: By moving heavy computations to a web worker, the computation will be run on a separate thread, and not block the actual rendering of the page
  • Caching: Even if not useful for users on first page landing, caching data, bundles, and assets can make subsequent visits way fast

Breaking Bad

Which strategies can we adopt?​

  • Minification and Dead Code Elimination: These processes are often summed up as minifying or uglifying.
  • Tree shaking: Tree shaking is dead code elimination on a project or library. Always try to use deps which support “tree shaking”, Bundlephobia could be your friend in this case.
  • Code Splitting and Lazy Loading: Code splitting consists on taking a collection of modules and remove them from the main JS bundle. Lazy loading means we can load this newly created bundle later on.
  • Replace/rewrite large dependencies: Consider replacing or rewriting libraries that are large in size where you might not need all of its functionalities (Moment.js for example).
  • Feature module import: Check to see if you are using only a feature module of the library that can be imported alone without importing the whole library (Lodash for example).

Strategy

Useful tools to help you reducing bundle size​

  • Lighthouse: automated tool for improving the performance, quality, and correctness of your web apps
  • Bundlephobia: Bundlephobia helps you find the performance impact of npm packages
  • Webpack Bundle Analyzer: analyzes your bundle
  • VS Code: Import Cost plugin -> Display import/require package size in the editor

Tools

Conclusion​

Performance cannot be stripped down to a single metric such as bundle size. It would be great! @@ -23,8 +23,8 @@ You will cry... A lot... But don’t give up!

The Prometheus returns us a 503, a trusty way of saying I'm not ready, and I'm probably going to die soon. And since we're running in kubernetes I'm going to die soon, again and again. And you're getting reports from your colleagues that prometheus is not responding. -And you can't ignore them anymore.</p><p><img loading=

The Problem​

All right, lets check what's happening to the little guy.

kubectl get pods -n monitoring

prometheus-prometheus-kube-prometheus-prometheus-0       1/2     Running   4          5m

It seems like it's stuck in the running state, where the container is not yet ready. -Let's describe the deployment, to check out what's happening.

     State:          Running                                                                                                                                                                                                                        │
       Started:      Wed, 12 Jan 2022 15:12:49 +0100                                                                                                                                                                                                │
     Last State:     Terminated                                                                                                                                                                                                                     │
       Reason:       OOMKilled                                                                                                                                                                                                                      │
       Exit Code:    137                                                                                                                                                                                                                            │
       Started:      Tue, 11 Jan 2022 17:14:41 +0100                                                                                                                                                                                                │
       Finished:     Wed, 12 Jan 2022 15:12:47 +0100                                                                                                                                                                                                │

So we see that the prometheus is in a running state waiting for the readiness probe to trigger, probably working on recovering from Write Ahead Log (WAL). +And you can't ignore them anymore.

Bummer.

The Problem​

All right, lets check what's happening to the little guy.

kubectl get pods -n monitoring

prometheus-prometheus-kube-prometheus-prometheus-0       1/2     Running   4          5m

It seems like it's stuck in the running state, where the container is not yet ready. +Let's describe the deployment, to check out what's happening.

     State:          Running                                                                                                                                                                                                                        │
       Started:      Wed, 12 Jan 2022 15:12:49 +0100                                                                                                                                                                                                │
     Last State:     Terminated                                                                                                                                                                                                                     │
       Reason:       OOMKilled                                                                                                                                                                                                                      │
       Exit Code:    137                                                                                                                                                                                                                            │
       Started:      Tue, 11 Jan 2022 17:14:41 +0100                                                                                                                                                                                                │
       Finished:     Wed, 12 Jan 2022 15:12:47 +0100                                                                                                                                                                                                │

So we see that the prometheus is in a running state waiting for the readiness probe to trigger, probably working on recovering from Write Ahead Log (WAL). This could be an issue where prometheus is recovering from an error, or a restart and does not have enough memory to write everything in the WAL. We could be running into an issue where we set the request/limits memory lower than the prometheus requires, and the kube scheduler keeps killing prometheus for wanting more memory.

For this case, we could give it more memory to work to see if it recovers. We should also analyze why the prometheus WAL is getting clogged up.

In essence, we want to check what has changed so that we suddenly have a high memory spike in our sweet, sweet environment.

The Source​

Cardinality

A lot of prometheus issues revolve around cardinality. Memory spikes that break your deployment? Cardinality. @@ -34,15 +34,15 @@ So, as you can see much of life's problems can be accredited to cardinality For example, if our metric http_request_total had a label response code, and let's say we support 8 status codes, our cardinality starts off at 8. For good measure we want to record the HTTP verb for the request. We support GET POST PUT HEAD which would put the cardinality to 4*8=32. Now, if someone adds a URL to the metric label (!!VERY BAD IDEA!!, but bare with me now) and we have 2 active pages, we'd have a cardinality of 2*4*8=64. -But, imagine someone starts scraping your website for potential vulnerabilities. Imagine all the URLs that will appear, most likely only once.

mywebsite.com/admin.php
mywebsite.com/wp/admin.php
mywebsite.com/?utm_source=GUID
...

This would blow up our cardinality to kingdom come. Like you will be out of memory faster than "a new super awesome Javascript gamechanger framework" is born. +But, imagine someone starts scraping your website for potential vulnerabilities. Imagine all the URLs that will appear, most likely only once.

mywebsite.com/admin.php
mywebsite.com/wp/admin.php
mywebsite.com/?utm_source=GUID
...

This would blow up our cardinality to kingdom come. Like you will be out of memory faster than "a new super awesome Javascript gamechanger framework" is born. Or to quote user naveen17797 Scientists predict the number of js frameworks may exceed human population by 2020,at that point of time random string generators will be used to name those frameworks.

The point to this story is, be very mindful of how you use labels and cardinality in prometheus, since that will indeed have great impact on your prometheus performance.

The Solution​

Since this has never happened to me (never-ever) I found the following solution to be handy. Since we can't get prometheus up and running to utilize PromQL to detect the potential issues, we have to find another way to detect high cardinality. -Therefore, we might want to get our hands dirty with some kubectl exec -it -n monitoring pods/prometheus-prometheus-kube-prometheus-prometheus-0 -- sh, and run the prometheus tsdb analysis too.

/prometheus $ promtool tsdb analyze .

Which produced the result.

> Block ID: 01FT8E8YY4THHZ2S7C3G04GJMG
> Duration: 1h59m59.997s
> Series: 564171
> Label names: 285
> Postings (unique label pairs): 21139
> Postings entries (total label pairs): 6423664
>
> ...
>
> Highest cardinality metric names:
> 11340 haproxy_server_http_responses_total
> ...

We see the potential issue here, where the haproxy_server_http_responses_total metric is having a super-high cardinality which is growing. +Therefore, we might want to get our hands dirty with some kubectl exec -it -n monitoring pods/prometheus-prometheus-kube-prometheus-prometheus-0 -- sh, and run the prometheus tsdb analysis too.

/prometheus $ promtool tsdb analyze .

Which produced the result.

> Block ID: 01FT8E8YY4THHZ2S7C3G04GJMG
> Duration: 1h59m59.997s
> Series: 564171
> Label names: 285
> Postings (unique label pairs): 21139
> Postings entries (total label pairs): 6423664
>
> ...
>
> Highest cardinality metric names:
> 11340 haproxy_server_http_responses_total
> ...

We see the potential issue here, where the haproxy_server_http_responses_total metric is having a super-high cardinality which is growing. We need to deal with it, so that our prometheus instance can breathe again. In this particular case, the solution was updating the haproxy.

... or burn it, up to you.

Flame Thrower

The Further Reading​

  1. WAL Definition
  2. WAL & Checkpoints
  3. Using TSDB
  4. Biggest Metrics
  5. Cardinality

Jan Halfar

While building this website and integrating https://docsearch.algolia.com and evaluating another solution by a large company in parallel I could not help to search github and the web for the current state of search engines and search related services.

Since I had done the same thing about a year ago, I was surprised to see how quickly things are moving atm.

Algolia​

I was blown away by the quality of https://www.algolia.com and I wish it was open source, but I guess, we all have to make a living ;)

To see how awesome a web (search) interface can be check out https://www.lacoste.com/us/#query=red%20jackets%20for%20men

Apart from that the UI/UX of their backend tools is fantastic.

Elastic​

When it comes to https://www.elastic.com I am a bit nervous about the future of the licensing, despite the fact, that I understand their motivation. At the same time the https://opensearch.org does not seem to be an ampty threat.

typesense.org​

I do not know, who was hiding under a rock, but I had not seen https://typesense.org before and they certainly have a bold claim: "The Open Source Algolia Alternative" / "The Easier To Use ElasticSearch Alternative"

When looking at https://github.com/typesense/typesense/graphs/contributors it seems, that Kishore Nallan has been working on this for a while. Unfourtunately I do not really see a lot of external contributions, C++ does not seem to attract a lot of contribution.

MeiliSearch​

This Rust project https://www.meilisearch.com/ seems to be picking up speed and is definetly on the test short list. It is a fresh codebase with siginficant open source contributions and certainly will attract new developers with Rust and a modern architecture.

Go eco system​

Obviously we are very interested in Go powered software and there are a few notable projects. ATM I do not see anything elastic or algolia like, that would be really mature.

bleve / bluge​

Marty Schoch seems to be the man when it comes down to text indexing libraries in written in Go and bluge seems to be THE library, that is solid and modern, when implementing text search in your Go application.

https://github.com/blevesearch/bleve https://github.com/blugelabs/bluge // next iteration of bleve

projects using bluge​

All bleeding edge afaik atm - but definitely good places to look at bluge usage

https://github.com/prabhatsharma/zinc https://github.com/mosuka/phalanx

Look ma I made a vector database​

Gotta take a look at this one - will report later

https://github.com/semi-technologies/weaviate

Marko Trebižan

Issue with performance​

When building an ecommerce site or an application where performance is a great deal for the users, you need to keep your application fast and responsive. Frontend developers have already many use-cases when the UI becomes laggy and this increases when 3rd party scripts are being included, such as Google Tag Manager or various Live chats (e.g. Intercom).

This does not only influences the users when using the site but also Lighthouse score gets lower which also influences page rankings. So the most naive and easy way for this is to defer loading of such scripts but when you need to get all the data from the start of the application, such tactic is not an option. So what else can we do?

Partytown to the rescue​

Developers at BuilderIO created an library Partytown that would allow relocating resources from 3rd party scripts off the main thread. -We won't dive into specifics how it works, because they explain it nicely on their GitHub page.

In our stack we use Next.js React framework and we will go through the basic steps that will allow us to include Partytown for Google Tag Manager.

Setup​

Partytown script needs to be located inside our application and live on the same domain. Since we're using monorepo structure, we need to copy this script across all our frontend application. For that we used CopyPlugin webpack plugin in our Next.js config file:

config.plugins.push(
      ...
      new CopyPlugin({
        patterns: [
          {
            // we copy script from node_modules partytown package to `~partytown` folder in our package that serves static files
            from: path.join(path.dirname(require.resolve('@builder.io/partytown')), 'lib'),
            // paths for SSR and client side rendering differ
            to: path.join(`${isServer ? '..' : '.'}/static/assets/`, '~partytown'),
          },
        ],
      })
    );

Partytown's requirement is that it needs to know what script should it load into own web worker. For that we set script type to text/partytown. This will prevent script to load on initial load.

Inside _document.tsx we add this:

<Head>
    ...
    // include Partytown and set custom path due to multiple frontends
    <Partytown lib={`${addTrailingSlash(this.props.basePath)}_next/static/assets/~partytown/`} debug={false} />
    // tag 3rd party script with partytown type
    <script type="text/partytown" src={`https://www.googletagmanager.com/gtm.js?id=${id}`} />
    ...
</Head>

Results​

So now, does it work? We used one of our large Ecommerce sites to test the landing Lighthouse score.

This was before adding Partytown:

Lighthouse before Partytown

Here you can see 2 critical things: almost 1s of total blocking time (TBT) and 9s of time to interactive (TTI).

After we added Partytown, we got this:

Lighthouse after Partytown

Time to interactive went from 9s to 6.1s which is almost 33% improvement and total blocking time was reduce by more than 50%! We were more than impressed how easy it was to improve our performances.

Side note: Both screenshots were compressed using Squoosh App.

Next steps

After successful testing of Partytown for Google Tag Manager script, we are more than interested in trying it out on our other scripts. One important topic will be to test Partytown with other service-worker related libraries and how to use them together.

Jan Halfar

A few years ago we abandoned the previous version of https://www.foomo.org as we did not want to maintain the old wordpress installation and the project was only living in README.md in the repos living under https://www.github.com/foomo .

As things have grown over time we have decided to re-launch a website / cross project documentation.

So welcome back and enjoy the view to the past:

blast from the past

- - +We won't dive into specifics how it works, because they explain it nicely on their GitHub page.

In our stack we use Next.js React framework and we will go through the basic steps that will allow us to include Partytown for Google Tag Manager.

Setup​

Partytown script needs to be located inside our application and live on the same domain. Since we're using monorepo structure, we need to copy this script across all our frontend application. For that we used CopyPlugin webpack plugin in our Next.js config file:

config.plugins.push(
      ...
      new CopyPlugin({
        patterns: [
          {
            // we copy script from node_modules partytown package to `~partytown` folder in our package that serves static files
            from: path.join(path.dirname(require.resolve('@builder.io/partytown')), 'lib'),
            // paths for SSR and client side rendering differ
            to: path.join(`${isServer ? '..' : '.'}/static/assets/`, '~partytown'),
          },
        ],
      })
    );

Partytown's requirement is that it needs to know what script should it load into own web worker. For that we set script type to text/partytown. This will prevent script to load on initial load.

Inside _document.tsx we add this:

<Head>
    ...
    // include Partytown and set custom path due to multiple frontends
    <Partytown lib={`${addTrailingSlash(this.props.basePath)}_next/static/assets/~partytown/`} debug={false} />
    // tag 3rd party script with partytown type
    <script type="text/partytown" src={`https://www.googletagmanager.com/gtm.js?id=${id}`} />
    ...
</Head>

Results​

So now, does it work? We used one of our large Ecommerce sites to test the landing Lighthouse score.

This was before adding Partytown:

Lighthouse before Partytown

Here you can see 2 critical things: almost 1s of total blocking time (TBT) and 9s of time to interactive (TTI).

After we added Partytown, we got this:

Lighthouse after Partytown

Time to interactive went from 9s to 6.1s which is almost 33% improvement and total blocking time was reduce by more than 50%! We were more than impressed how easy it was to improve our performances.

Side note: Both screenshots were compressed using Squoosh App.

Next steps

After successful testing of Partytown for Google Tag Manager script, we are more than interested in trying it out on our other scripts. One important topic will be to test Partytown with other service-worker related libraries and how to use them together.

Jan Halfar

A few years ago we abandoned the previous version of https://www.foomo.org as we did not want to maintain the old wordpress installation and the project was only living in README.md in the repos living under https://www.github.com/foomo .

As things have grown over time we have decided to re-launch a website / cross project documentation.

So welcome back and enjoy the view to the past:

blast from the past

+ + \ No newline at end of file diff --git a/blog/accuracy-of-decimal-computations.html b/blog/accuracy-of-decimal-computations.html index 714e308..6df72c7 100644 --- a/blog/accuracy-of-decimal-computations.html +++ b/blog/accuracy-of-decimal-computations.html @@ -2,22 +2,22 @@ - + Accuracy of decimal computations | foomo project docs - - - + + +
-

Accuracy of decimal computations

Patrick Buchner
Boštjan Marušič

Intro​

Calculating with money can be tricky if not taken proper precautions. Some might be tempted to use float representation for calculating with currency values. That is problematic because of possible rounding errors.

Finite accuracy of representation​

Floating points are represented like this

Floating point representation

Not every number can be represented with a finite number of decimal places

0.01 —> 0.0000011001100110011…

Taking 17 places of the above results in 0.010000000000000001

Consider the following code snipet that shows the missing accuracy

func main() {

  var n float64 = 0

  for i := 0; i < 1000; i++ {
    n += .01
  }

  fmt.Println(n)

}

Result: 9.999999999999831

Money computations​

They can't be done with floating-point as it would inevitably lead to rounding errors.

Even the following packages are problematic:

github.com/shopspring/decimal

github.com/Rhymond/go-money

a := decimal.NewFromInt(2)
b := decimal.NewFromFloat(300.99)
c := a.Mul(b)
d := c.Div(decimal.NewFromInt(3))

Solution​

Use Int by representing money in cents:

  • 10.99 -> 1099 (cents)
  • 10.9900 -> 109900 (4 digit tax)

Conclusion​

Division is a problem!

1/3 - > 0.33333333… +

Accuracy of decimal computations

Patrick Buchner
Boštjan Marušič

Intro​

Calculating with money can be tricky if not taken proper precautions. Some might be tempted to use float representation for calculating with currency values. That is problematic because of possible rounding errors.

Finite accuracy of representation​

Floating points are represented like this

Floating point representation

Not every number can be represented with a finite number of decimal places

0.01 —> 0.0000011001100110011…

Taking 17 places of the above results in 0.010000000000000001

Consider the following code snipet that shows the missing accuracy

func main() {

  var n float64 = 0

  for i := 0; i < 1000; i++ {
    n += .01
  }

  fmt.Println(n)

}

Result: 9.999999999999831

Money computations​

They can't be done with floating-point as it would inevitably lead to rounding errors.

Even the following packages are problematic:

github.com/shopspring/decimal

github.com/Rhymond/go-money

a := decimal.NewFromInt(2)
b := decimal.NewFromFloat(300.99)
c := a.Mul(b)
d := c.Div(decimal.NewFromInt(3))

Solution​

Use Int by representing money in cents:

  • 10.99 -> 1099 (cents)
  • 10.9900 -> 109900 (4 digit tax)

Conclusion​

Division is a problem!

1/3 - > 0.33333333… Correct way: 0.33, 0.33, 0.34

When doing money calculations one should avoid division as it inevitably leads to loss of accuracy. When dividing make sure to round to cent and deal with diffs.

Division by 10^k is ok as long as we are inside of the range of the data type.

- - + + \ No newline at end of file diff --git a/blog/archive.html b/blog/archive.html index 3570d20..b7e4cb7 100644 --- a/blog/archive.html +++ b/blog/archive.html @@ -2,20 +2,20 @@ - + Archive | foomo project docs - - - + + +
-
- - +

Archive

Archive

2021

2022

2023

+ + \ No newline at end of file diff --git a/blog/atom.xml b/blog/atom.xml index b06286f..8dcdee9 100644 --- a/blog/atom.xml +++ b/blog/atom.xml @@ -13,7 +13,7 @@ 2023-03-17T00:00:00.000Z - Go has extensive support for concurrency through goroutines and channels. This feature allows programs to progress on several tasks at the same time but it requires some extra care to prevent situations where multiple goroutines might collide and lead to a panic. These are known as race conditions and they happen when a shared variable is read and written at the same time by two different routines. A typical example is a concurrent read/write of a map in memory.

To illustrate an example let's consider gocontentful, the code generator that creates an API to access a Contentful CMS from go. The generated API uses an in-memory cache to store a copy of a Contentful space and some extra data structures to allow go programs to access Contentful data, inspect and resolve references and so on. In a typical scenario, the client is used in a service that responds to HTTP calls and makes heavy use of concurrency because it needs to be able, at the same time, to:

  • Read entries, assets and references from the cache
  • Update/Delete single entities and their connections with others (for example the map of parent entries)
  • Incrementally sync the content of the cache with data changes coming from Contentful
  • Rebuild the cache entirely and swap the existing one with a new copy

In addition, for performance reasons, when the cache is created or rebuilt the gocontentful client spawns up to four goroutines to download chunks of data in parallel across the Internet, dynamically selecting the size the sorting of the chunks to leverage the maximum parallelism.

Detecting race conditions through unit tests​

We experienced race conditions with the client in the past, and we fixed them to maintain it production-ready with every new version. To help with this, we included a testing framework in gocontentful that generates a sample API from a local export of a Contentful space and then runs several unit tests that, among others, test the client for concurrency safety:

make test

One of these unit tests spawns tens of thousands of goroutines to concurrently read, write and inspect the references of specific entries while at the same time keeps rebuilding the cache. From the screenshot above we see that no race condition is shown. Even at this concurrency level, though there's no guarantee that running

go test ./...

will be enough to generate a collision. What we really want to do is to add a new parameter to enable the go race detector with

go test -race ./...

(In gocontentful you can run make race to fire up both the API generation and the race test)

From the documentation at https://go.dev/blog/race-detector:

When the -race command-line flag is set, the compiler instruments all memory accesses with code that records when and how the memory was accessed, while the runtime library watches for unsynchronized accesses to shared variables. When such “racy” behavior is detected, a warning is printed.

Running this in gocontentful shows that we indeed have a potential collision condition:

Race condition

Note: After you run this test you'll want to search for "race" inside the terminal output. Make sure you enable a very long (if not infinite) scrollback or you might miss some hits.

The race detector reports the filenames and lines of code that generated the race condition. Looking at those lines in our example shows that a field of the cache (the "offline" boolean) is written protecting it with a proper mutex lock but the lock handling is missing around the read operation:

Read access

Write access

The fix is very simple but in this particular case the offline flag is read and then a 2 seconds delay is started. Deferring the unlock would keep the variable locked for far too long, so we will read-lock it only for the time needed to copy its value to a local variable:

Fix race condition

After fixing the issue in the generator templates and regenerating the code, the tests with the race detector run fine. In gocontentful this can be done all in one step with make race:

No race condition

Test coverage​

That was nice! But how do we know if we're covering all test cases? Go has been supporting test code coverage since 1.12 through the -cover option. We can also limit the coverage to a specific package. In our case, we're only interested in the testapi sub-package because we want to test the generated API, not the generator itself.

go test -cover -coverpkg=./test/testapi ./...

Let's try and run the tests with coverage:

Basic coverage

The summary shows we are only covering 22% of the code. The goal is not to cover 100%, some parts only work online calling the actual API of a real Contentful space, but we definitely have room for improvement.

The question is: how do we know exactly which lines of code we're covering through the test suite? Again, go test comes to the rescue through another option: -coverprofile lets us specify an output file that will contain references to each single line of code involved in the analysis. It is a text file, but not very readable:

github.com/foom...tapi/gocontentfulvolibproduct.go:21.86,22.15 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:25.2,25.18 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:28.2,29.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:32.2,33.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:36.2,37.37 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:40.2,40.24 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:22.15,24.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:25.18,27.3 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:29.16,31.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:33.16,35.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:37.37,39.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:43.114,44.35 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:47.2,48.18 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:51.2,53.16 3 0
github.com/foom...tapi/gocontentfulvolibproduct.go:56.2,57.16 2 0
...

We can use go tool to convert it to a much better representation in HTML:

go tool cover -html=cover.out -o cover.html

Opening this file in a browser reveals a lot of useful information:

Coverage HTML

At the top left of the page there's a menu where we can select from all the files analyzed, listed along with the percentage of coverage for each one. Inside every file the lines covered by the tests are green while the red ones are not covered. In the example above we can see that the getAllAssets function is covered but it includes an else condition that is never met.

In gocontentful (starting from 1.0.18) we can generate the test API, run the tests with coverage, convert the output file and open it in the browser with a single command:

make cover

As stated above, not necessarily 100% of the code needs to be covered by the tests, but this view in combination with the race detector gives us incredibly useful information to make the code more solid.

]]> + Go has extensive support for concurrency through goroutines and channels. This feature allows programs to progress on several tasks at the same time but it requires some extra care to prevent situations where multiple goroutines might collide and lead to a panic. These are known as race conditions and they happen when a shared variable is read and written at the same time by two different routines. A typical example is a concurrent read/write of a map in memory.

To illustrate an example let's consider gocontentful, the code generator that creates an API to access a Contentful CMS from go. The generated API uses an in-memory cache to store a copy of a Contentful space and some extra data structures to allow go programs to access Contentful data, inspect and resolve references and so on. In a typical scenario, the client is used in a service that responds to HTTP calls and makes heavy use of concurrency because it needs to be able, at the same time, to:

  • Read entries, assets and references from the cache
  • Update/Delete single entities and their connections with others (for example the map of parent entries)
  • Incrementally sync the content of the cache with data changes coming from Contentful
  • Rebuild the cache entirely and swap the existing one with a new copy

In addition, for performance reasons, when the cache is created or rebuilt the gocontentful client spawns up to four goroutines to download chunks of data in parallel across the Internet, dynamically selecting the size the sorting of the chunks to leverage the maximum parallelism.

Detecting race conditions through unit tests​

We experienced race conditions with the client in the past, and we fixed them to maintain it production-ready with every new version. To help with this, we included a testing framework in gocontentful that generates a sample API from a local export of a Contentful space and then runs several unit tests that, among others, test the client for concurrency safety:

make test

One of these unit tests spawns tens of thousands of goroutines to concurrently read, write and inspect the references of specific entries while at the same time keeps rebuilding the cache. From the screenshot above we see that no race condition is shown. Even at this concurrency level, though there's no guarantee that running

go test ./...

will be enough to generate a collision. What we really want to do is to add a new parameter to enable the go race detector with

go test -race ./...

(In gocontentful you can run make race to fire up both the API generation and the race test)

From the documentation at https://go.dev/blog/race-detector:

When the -race command-line flag is set, the compiler instruments all memory accesses with code that records when and how the memory was accessed, while the runtime library watches for unsynchronized accesses to shared variables. When such “racy” behavior is detected, a warning is printed.

Running this in gocontentful shows that we indeed have a potential collision condition:

Race condition

Note: After you run this test you'll want to search for "race" inside the terminal output. Make sure you enable a very long (if not infinite) scrollback or you might miss some hits.

The race detector reports the filenames and lines of code that generated the race condition. Looking at those lines in our example shows that a field of the cache (the "offline" boolean) is written protecting it with a proper mutex lock but the lock handling is missing around the read operation:

Read access

Write access

The fix is very simple but in this particular case the offline flag is read and then a 2 seconds delay is started. Deferring the unlock would keep the variable locked for far too long, so we will read-lock it only for the time needed to copy its value to a local variable:

Fix race condition

After fixing the issue in the generator templates and regenerating the code, the tests with the race detector run fine. In gocontentful this can be done all in one step with make race:

No race condition

Test coverage​

That was nice! But how do we know if we're covering all test cases? Go has been supporting test code coverage since 1.12 through the -cover option. We can also limit the coverage to a specific package. In our case, we're only interested in the testapi sub-package because we want to test the generated API, not the generator itself.

go test -cover -coverpkg=./test/testapi ./...

Let's try and run the tests with coverage:

Basic coverage

The summary shows we are only covering 22% of the code. The goal is not to cover 100%, some parts only work online calling the actual API of a real Contentful space, but we definitely have room for improvement.

The question is: how do we know exactly which lines of code we're covering through the test suite? Again, go test comes to the rescue through another option: -coverprofile lets us specify an output file that will contain references to each single line of code involved in the analysis. It is a text file, but not very readable:

github.com/foom...tapi/gocontentfulvolibproduct.go:21.86,22.15 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:25.2,25.18 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:28.2,29.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:32.2,33.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:36.2,37.37 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:40.2,40.24 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:22.15,24.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:25.18,27.3 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:29.16,31.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:33.16,35.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:37.37,39.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:43.114,44.35 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:47.2,48.18 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:51.2,53.16 3 0
github.com/foom...tapi/gocontentfulvolibproduct.go:56.2,57.16 2 0
...

We can use go tool to convert it to a much better representation in HTML:

go tool cover -html=cover.out -o cover.html

Opening this file in a browser reveals a lot of useful information:

Coverage HTML

At the top left of the page there's a menu where we can select from all the files analyzed, listed along with the percentage of coverage for each one. Inside every file the lines covered by the tests are green while the red ones are not covered. In the example above we can see that the getAllAssets function is covered but it includes an else condition that is never met.

In gocontentful (starting from 1.0.18) we can generate the test API, run the tests with coverage, convert the output file and open it in the browser with a single command:

make cover

As stated above, not necessarily 100% of the code needs to be covered by the tests, but this view in combination with the race detector gives us incredibly useful information to make the code more solid.

]]> Cristian Vidmar https://github.com/cvidmar @@ -32,7 +32,7 @@ 2023-03-06T00:00:00.000Z - Intro​

Calculating with money can be tricky if not taken proper precautions. Some might be tempted to use float representation for calculating with currency values. That is problematic because of possible rounding errors.

Finite accuracy of representation​

Floating points are represented like this

Floating point representation

Not every number can be represented with a finite number of decimal places

0.01 —> 0.0000011001100110011…

Taking 17 places of the above results in 0.010000000000000001

Consider the following code snipet that shows the missing accuracy

func main() {

  var n float64 = 0

  for i := 0; i < 1000; i++ {
    n += .01
  }

  fmt.Println(n)

}

Result: 9.999999999999831

Money computations​

They can't be done with floating-point as it would inevitably lead to rounding errors.

Even the following packages are problematic:

github.com/shopspring/decimal

github.com/Rhymond/go-money

a := decimal.NewFromInt(2)
b := decimal.NewFromFloat(300.99)
c := a.Mul(b)
d := c.Div(decimal.NewFromInt(3))

Solution​

Use Int by representing money in cents:

  • 10.99 -> 1099 (cents)
  • 10.9900 -> 109900 (4 digit tax)

Conclusion​

Division is a problem!

1/3 - > 0.33333333… + Intro​

Calculating with money can be tricky if not taken proper precautions. Some might be tempted to use float representation for calculating with currency values. That is problematic because of possible rounding errors.

Finite accuracy of representation​

Floating points are represented like this

Floating point representation

Not every number can be represented with a finite number of decimal places

0.01 —> 0.0000011001100110011…

Taking 17 places of the above results in 0.010000000000000001

Consider the following code snipet that shows the missing accuracy

func main() {

  var n float64 = 0

  for i := 0; i < 1000; i++ {
    n += .01
  }

  fmt.Println(n)

}

Result: 9.999999999999831

Money computations​

They can't be done with floating-point as it would inevitably lead to rounding errors.

Even the following packages are problematic:

github.com/shopspring/decimal

github.com/Rhymond/go-money

a := decimal.NewFromInt(2)
b := decimal.NewFromFloat(300.99)
c := a.Mul(b)
d := c.Div(decimal.NewFromInt(3))

Solution​

Use Int by representing money in cents:

  • 10.99 -> 1099 (cents)
  • 10.9900 -> 109900 (4 digit tax)

Conclusion​

Division is a problem!

1/3 - > 0.33333333… Correct way: 0.33, 0.33, 0.34

When doing money calculations one should avoid division as it inevitably leads to loss of accuracy. When dividing make sure to round to cent and deal with diffs.

Division by 10^k is ok as long as we are inside of the range of the data type.

]]> @@ -75,8 +75,8 @@ You will cry... A lot... But don’t give up!

The Prometheus returns us a 503, a trusty way of saying I'm not ready, and I'm probably going to die soon. And since we're running in kubernetes I'm going to die soon, again and again. And you're getting reports from your colleagues that prometheus is not responding. -And you can't ignore them anymore.</p><p><img loading=

The Problem​

All right, lets check what's happening to the little guy.

kubectl get pods -n monitoring

prometheus-prometheus-kube-prometheus-prometheus-0       1/2     Running   4          5m

It seems like it's stuck in the running state, where the container is not yet ready. -Let's describe the deployment, to check out what's happening.

     State:          Running                                                                                                                                                                                                                        │
       Started:      Wed, 12 Jan 2022 15:12:49 +0100                                                                                                                                                                                                │
     Last State:     Terminated                                                                                                                                                                                                                     │
       Reason:       OOMKilled                                                                                                                                                                                                                      │
       Exit Code:    137                                                                                                                                                                                                                            │
       Started:      Tue, 11 Jan 2022 17:14:41 +0100                                                                                                                                                                                                │
       Finished:     Wed, 12 Jan 2022 15:12:47 +0100                                                                                                                                                                                                │

So we see that the prometheus is in a running state waiting for the readiness probe to trigger, probably working on recovering from Write Ahead Log (WAL). +And you can't ignore them anymore.

Bummer.

The Problem​

All right, lets check what's happening to the little guy.

kubectl get pods -n monitoring

prometheus-prometheus-kube-prometheus-prometheus-0       1/2     Running   4          5m

It seems like it's stuck in the running state, where the container is not yet ready. +Let's describe the deployment, to check out what's happening.

     State:          Running                                                                                                                                                                                                                        │
       Started:      Wed, 12 Jan 2022 15:12:49 +0100                                                                                                                                                                                                │
     Last State:     Terminated                                                                                                                                                                                                                     │
       Reason:       OOMKilled                                                                                                                                                                                                                      │
       Exit Code:    137                                                                                                                                                                                                                            │
       Started:      Tue, 11 Jan 2022 17:14:41 +0100                                                                                                                                                                                                │
       Finished:     Wed, 12 Jan 2022 15:12:47 +0100                                                                                                                                                                                                │

So we see that the prometheus is in a running state waiting for the readiness probe to trigger, probably working on recovering from Write Ahead Log (WAL). This could be an issue where prometheus is recovering from an error, or a restart and does not have enough memory to write everything in the WAL. We could be running into an issue where we set the request/limits memory lower than the prometheus requires, and the kube scheduler keeps killing prometheus for wanting more memory.

For this case, we could give it more memory to work to see if it recovers. We should also analyze why the prometheus WAL is getting clogged up.

In essence, we want to check what has changed so that we suddenly have a high memory spike in our sweet, sweet environment.

The Source​

Cardinality

A lot of prometheus issues revolve around cardinality. Memory spikes that break your deployment? Cardinality. @@ -86,10 +86,10 @@ So, as you can see much of life's problems can be accredited to cardinality.

For example, if our metric http_request_total had a label response code, and let's say we support 8 status codes, our cardinality starts off at 8. For good measure we want to record the HTTP verb for the request. We support GET POST PUT HEAD which would put the cardinality to 4*8=32. Now, if someone adds a URL to the metric label (!!VERY BAD IDEA!!, but bare with me now) and we have 2 active pages, we'd have a cardinality of 2*4*8=64. -But, imagine someone starts scraping your website for potential vulnerabilities. Imagine all the URLs that will appear, most likely only once.

mywebsite.com/admin.php
mywebsite.com/wp/admin.php
mywebsite.com/?utm_source=GUID
...

This would blow up our cardinality to kingdom come. Like you will be out of memory faster than "a new super awesome Javascript gamechanger framework" is born. +But, imagine someone starts scraping your website for potential vulnerabilities. Imagine all the URLs that will appear, most likely only once.

mywebsite.com/admin.php
mywebsite.com/wp/admin.php
mywebsite.com/?utm_source=GUID
...

This would blow up our cardinality to kingdom come. Like you will be out of memory faster than "a new super awesome Javascript gamechanger framework" is born. Or to quote user naveen17797 Scientists predict the number of js frameworks may exceed human population by 2020,at that point of time random string generators will be used to name those frameworks.

The point to this story is, be very mindful of how you use labels and cardinality in prometheus, since that will indeed have great impact on your prometheus performance.

The Solution​

Since this has never happened to me (never-ever) I found the following solution to be handy. Since we can't get prometheus up and running to utilize PromQL to detect the potential issues, we have to find another way to detect high cardinality. -Therefore, we might want to get our hands dirty with some kubectl exec -it -n monitoring pods/prometheus-prometheus-kube-prometheus-prometheus-0 -- sh, and run the prometheus tsdb analysis too.

/prometheus $ promtool tsdb analyze .

Which produced the result.

> Block ID: 01FT8E8YY4THHZ2S7C3G04GJMG
> Duration: 1h59m59.997s
> Series: 564171
> Label names: 285
> Postings (unique label pairs): 21139
> Postings entries (total label pairs): 6423664
>
> ...
>
> Highest cardinality metric names:
> 11340 haproxy_server_http_responses_total
> ...

We see the potential issue here, where the haproxy_server_http_responses_total metric is having a super-high cardinality which is growing. +Therefore, we might want to get our hands dirty with some kubectl exec -it -n monitoring pods/prometheus-prometheus-kube-prometheus-prometheus-0 -- sh, and run the prometheus tsdb analysis too.

/prometheus $ promtool tsdb analyze .

Which produced the result.

> Block ID: 01FT8E8YY4THHZ2S7C3G04GJMG
> Duration: 1h59m59.997s
> Series: 564171
> Label names: 285
> Postings (unique label pairs): 21139
> Postings entries (total label pairs): 6423664
>
> ...
>
> Highest cardinality metric names:
> 11340 haproxy_server_http_responses_total
> ...

We see the potential issue here, where the haproxy_server_http_responses_total metric is having a super-high cardinality which is growing. We need to deal with it, so that our prometheus instance can breathe again. In this particular case, the solution was updating the haproxy.

... or burn it, up to you.

Flame Thrower

The Further Reading​

  1. WAL Definition
  2. WAL & Checkpoints
  3. Using TSDB
  4. Biggest Metrics
  5. Cardinality
]]> Stefan Martinov @@ -128,7 +128,7 @@ We need to deal with it, so that our prometheus instance can breathe again. In t 2022-01-20T00:00:00.000Z Issue with performance​

When building an ecommerce site or an application where performance is a great deal for the users, you need to keep your application fast and responsive. Frontend developers have already many use-cases when the UI becomes laggy and this increases when 3rd party scripts are being included, such as Google Tag Manager or various Live chats (e.g. Intercom).

This does not only influences the users when using the site but also Lighthouse score gets lower which also influences page rankings. So the most naive and easy way for this is to defer loading of such scripts but when you need to get all the data from the start of the application, such tactic is not an option. So what else can we do?

Partytown to the rescue​

Developers at BuilderIO created an library Partytown that would allow relocating resources from 3rd party scripts off the main thread. -We won't dive into specifics how it works, because they explain it nicely on their GitHub page.

In our stack we use Next.js React framework and we will go through the basic steps that will allow us to include Partytown for Google Tag Manager.

Setup​

Partytown script needs to be located inside our application and live on the same domain. Since we're using monorepo structure, we need to copy this script across all our frontend application. For that we used CopyPlugin webpack plugin in our Next.js config file:

config.plugins.push(
      ...
      new CopyPlugin({
        patterns: [
          {
            // we copy script from node_modules partytown package to `~partytown` folder in our package that serves static files
            from: path.join(path.dirname(require.resolve('@builder.io/partytown')), 'lib'),
            // paths for SSR and client side rendering differ
            to: path.join(`${isServer ? '..' : '.'}/static/assets/`, '~partytown'),
          },
        ],
      })
    );

Partytown's requirement is that it needs to know what script should it load into own web worker. For that we set script type to text/partytown. This will prevent script to load on initial load.

Inside _document.tsx we add this:

<Head>
    ...
    // include Partytown and set custom path due to multiple frontends
    <Partytown lib={`${addTrailingSlash(this.props.basePath)}_next/static/assets/~partytown/`} debug={false} />
    // tag 3rd party script with partytown type
    <script type="text/partytown" src={`https://www.googletagmanager.com/gtm.js?id=${id}`} />
    ...
</Head>

Results​

So now, does it work? We used one of our large Ecommerce sites to test the landing Lighthouse score.

This was before adding Partytown:

Lighthouse before Partytown

Here you can see 2 critical things: almost 1s of total blocking time (TBT) and 9s of time to interactive (TTI).

After we added Partytown, we got this:

Lighthouse after Partytown

Time to interactive went from 9s to 6.1s which is almost 33% improvement and total blocking time was reduce by more than 50%! We were more than impressed how easy it was to improve our performances.

Side note: Both screenshots were compressed using Squoosh App.

Next steps

After successful testing of Partytown for Google Tag Manager script, we are more than interested in trying it out on our other scripts. One important topic will be to test Partytown with other service-worker related libraries and how to use them together.

]]> +We won't dive into specifics how it works, because they explain it nicely on their GitHub page.

In our stack we use Next.js React framework and we will go through the basic steps that will allow us to include Partytown for Google Tag Manager.

Setup​

Partytown script needs to be located inside our application and live on the same domain. Since we're using monorepo structure, we need to copy this script across all our frontend application. For that we used CopyPlugin webpack plugin in our Next.js config file:

config.plugins.push(
      ...
      new CopyPlugin({
        patterns: [
          {
            // we copy script from node_modules partytown package to `~partytown` folder in our package that serves static files
            from: path.join(path.dirname(require.resolve('@builder.io/partytown')), 'lib'),
            // paths for SSR and client side rendering differ
            to: path.join(`${isServer ? '..' : '.'}/static/assets/`, '~partytown'),
          },
        ],
      })
    );

Partytown's requirement is that it needs to know what script should it load into own web worker. For that we set script type to text/partytown. This will prevent script to load on initial load.

Inside _document.tsx we add this:

<Head>
    ...
    // include Partytown and set custom path due to multiple frontends
    <Partytown lib={`${addTrailingSlash(this.props.basePath)}_next/static/assets/~partytown/`} debug={false} />
    // tag 3rd party script with partytown type
    <script type="text/partytown" src={`https://www.googletagmanager.com/gtm.js?id=${id}`} />
    ...
</Head>

Results​

So now, does it work? We used one of our large Ecommerce sites to test the landing Lighthouse score.

This was before adding Partytown:

Lighthouse before Partytown

Here you can see 2 critical things: almost 1s of total blocking time (TBT) and 9s of time to interactive (TTI).

After we added Partytown, we got this:

Lighthouse after Partytown

Time to interactive went from 9s to 6.1s which is almost 33% improvement and total blocking time was reduce by more than 50%! We were more than impressed how easy it was to improve our performances.

Side note: Both screenshots were compressed using Squoosh App.

Next steps

After successful testing of Partytown for Google Tag Manager script, we are more than interested in trying it out on our other scripts. One important topic will be to test Partytown with other service-worker related libraries and how to use them together.

]]> Marko Trebižan https://github.com/themre diff --git a/blog/debugging-go-map-races-in-k8s.html b/blog/debugging-go-map-races-in-k8s.html index cb2efdb..2fbc7ca 100644 --- a/blog/debugging-go-map-races-in-k8s.html +++ b/blog/debugging-go-map-races-in-k8s.html @@ -2,20 +2,20 @@ - + debugging Go map races in k8s | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/blog/go-race-conditions-testing-and-coverage.html b/blog/go-race-conditions-testing-and-coverage.html index 52be09c..0fa8da8 100644 --- a/blog/go-race-conditions-testing-and-coverage.html +++ b/blog/go-race-conditions-testing-and-coverage.html @@ -2,20 +2,20 @@ - + Go race conditions testing and coverage | foomo project docs - - - + + +
-

Go race conditions testing and coverage

Cristian Vidmar
Philipp Mieden

Go has extensive support for concurrency through goroutines and channels. This feature allows programs to progress on several tasks at the same time but it requires some extra care to prevent situations where multiple goroutines might collide and lead to a panic. These are known as race conditions and they happen when a shared variable is read and written at the same time by two different routines. A typical example is a concurrent read/write of a map in memory.

To illustrate an example let's consider gocontentful, the code generator that creates an API to access a Contentful CMS from go. The generated API uses an in-memory cache to store a copy of a Contentful space and some extra data structures to allow go programs to access Contentful data, inspect and resolve references and so on. In a typical scenario, the client is used in a service that responds to HTTP calls and makes heavy use of concurrency because it needs to be able, at the same time, to:

  • Read entries, assets and references from the cache
  • Update/Delete single entities and their connections with others (for example the map of parent entries)
  • Incrementally sync the content of the cache with data changes coming from Contentful
  • Rebuild the cache entirely and swap the existing one with a new copy

In addition, for performance reasons, when the cache is created or rebuilt the gocontentful client spawns up to four goroutines to download chunks of data in parallel across the Internet, dynamically selecting the size the sorting of the chunks to leverage the maximum parallelism.

Detecting race conditions through unit tests​

We experienced race conditions with the client in the past, and we fixed them to maintain it production-ready with every new version. To help with this, we included a testing framework in gocontentful that generates a sample API from a local export of a Contentful space and then runs several unit tests that, among others, test the client for concurrency safety:

make test

One of these unit tests spawns tens of thousands of goroutines to concurrently read, write and inspect the references of specific entries while at the same time keeps rebuilding the cache. From the screenshot above we see that no race condition is shown. Even at this concurrency level, though there's no guarantee that running

go test ./...

will be enough to generate a collision. What we really want to do is to add a new parameter to enable the go race detector with

go test -race ./...

(In gocontentful you can run make race to fire up both the API generation and the race test)

From the documentation at https://go.dev/blog/race-detector:

When the -race command-line flag is set, the compiler instruments all memory accesses with code that records when and how the memory was accessed, while the runtime library watches for unsynchronized accesses to shared variables. When such “racy” behavior is detected, a warning is printed.

Running this in gocontentful shows that we indeed have a potential collision condition:

Race condition

Note: After you run this test you'll want to search for "race" inside the terminal output. Make sure you enable a very long (if not infinite) scrollback or you might miss some hits.

The race detector reports the filenames and lines of code that generated the race condition. Looking at those lines in our example shows that a field of the cache (the "offline" boolean) is written protecting it with a proper mutex lock but the lock handling is missing around the read operation:

Read access

Write access

The fix is very simple but in this particular case the offline flag is read and then a 2 seconds delay is started. Deferring the unlock would keep the variable locked for far too long, so we will read-lock it only for the time needed to copy its value to a local variable:

Fix race condition

After fixing the issue in the generator templates and regenerating the code, the tests with the race detector run fine. In gocontentful this can be done all in one step with make race:

No race condition

Test coverage​

That was nice! But how do we know if we're covering all test cases? Go has been supporting test code coverage since 1.12 through the -cover option. We can also limit the coverage to a specific package. In our case, we're only interested in the testapi sub-package because we want to test the generated API, not the generator itself.

go test -cover -coverpkg=./test/testapi ./...

Let's try and run the tests with coverage:

Basic coverage

The summary shows we are only covering 22% of the code. The goal is not to cover 100%, some parts only work online calling the actual API of a real Contentful space, but we definitely have room for improvement.

The question is: how do we know exactly which lines of code we're covering through the test suite? Again, go test comes to the rescue through another option: -coverprofile lets us specify an output file that will contain references to each single line of code involved in the analysis. It is a text file, but not very readable:

github.com/foom...tapi/gocontentfulvolibproduct.go:21.86,22.15 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:25.2,25.18 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:28.2,29.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:32.2,33.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:36.2,37.37 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:40.2,40.24 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:22.15,24.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:25.18,27.3 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:29.16,31.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:33.16,35.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:37.37,39.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:43.114,44.35 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:47.2,48.18 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:51.2,53.16 3 0
github.com/foom...tapi/gocontentfulvolibproduct.go:56.2,57.16 2 0
...

We can use go tool to convert it to a much better representation in HTML:

go tool cover -html=cover.out -o cover.html

Opening this file in a browser reveals a lot of useful information:

Coverage HTML

At the top left of the page there's a menu where we can select from all the files analyzed, listed along with the percentage of coverage for each one. Inside every file the lines covered by the tests are green while the red ones are not covered. In the example above we can see that the getAllAssets function is covered but it includes an else condition that is never met.

In gocontentful (starting from 1.0.18) we can generate the test API, run the tests with coverage, convert the output file and open it in the browser with a single command:

make cover

As stated above, not necessarily 100% of the code needs to be covered by the tests, but this view in combination with the race detector gives us incredibly useful information to make the code more solid.

- - +

Go race conditions testing and coverage

Cristian Vidmar
Philipp Mieden

Go has extensive support for concurrency through goroutines and channels. This feature allows programs to progress on several tasks at the same time but it requires some extra care to prevent situations where multiple goroutines might collide and lead to a panic. These are known as race conditions and they happen when a shared variable is read and written at the same time by two different routines. A typical example is a concurrent read/write of a map in memory.

To illustrate an example let's consider gocontentful, the code generator that creates an API to access a Contentful CMS from go. The generated API uses an in-memory cache to store a copy of a Contentful space and some extra data structures to allow go programs to access Contentful data, inspect and resolve references and so on. In a typical scenario, the client is used in a service that responds to HTTP calls and makes heavy use of concurrency because it needs to be able, at the same time, to:

  • Read entries, assets and references from the cache
  • Update/Delete single entities and their connections with others (for example the map of parent entries)
  • Incrementally sync the content of the cache with data changes coming from Contentful
  • Rebuild the cache entirely and swap the existing one with a new copy

In addition, for performance reasons, when the cache is created or rebuilt the gocontentful client spawns up to four goroutines to download chunks of data in parallel across the Internet, dynamically selecting the size the sorting of the chunks to leverage the maximum parallelism.

Detecting race conditions through unit tests​

We experienced race conditions with the client in the past, and we fixed them to maintain it production-ready with every new version. To help with this, we included a testing framework in gocontentful that generates a sample API from a local export of a Contentful space and then runs several unit tests that, among others, test the client for concurrency safety:

make test

One of these unit tests spawns tens of thousands of goroutines to concurrently read, write and inspect the references of specific entries while at the same time keeps rebuilding the cache. From the screenshot above we see that no race condition is shown. Even at this concurrency level, though there's no guarantee that running

go test ./...

will be enough to generate a collision. What we really want to do is to add a new parameter to enable the go race detector with

go test -race ./...

(In gocontentful you can run make race to fire up both the API generation and the race test)

From the documentation at https://go.dev/blog/race-detector:

When the -race command-line flag is set, the compiler instruments all memory accesses with code that records when and how the memory was accessed, while the runtime library watches for unsynchronized accesses to shared variables. When such “racy” behavior is detected, a warning is printed.

Running this in gocontentful shows that we indeed have a potential collision condition:

Race condition

Note: After you run this test you'll want to search for "race" inside the terminal output. Make sure you enable a very long (if not infinite) scrollback or you might miss some hits.

The race detector reports the filenames and lines of code that generated the race condition. Looking at those lines in our example shows that a field of the cache (the "offline" boolean) is written protecting it with a proper mutex lock but the lock handling is missing around the read operation:

Read access

Write access

The fix is very simple but in this particular case the offline flag is read and then a 2 seconds delay is started. Deferring the unlock would keep the variable locked for far too long, so we will read-lock it only for the time needed to copy its value to a local variable:

Fix race condition

After fixing the issue in the generator templates and regenerating the code, the tests with the race detector run fine. In gocontentful this can be done all in one step with make race:

No race condition

Test coverage​

That was nice! But how do we know if we're covering all test cases? Go has been supporting test code coverage since 1.12 through the -cover option. We can also limit the coverage to a specific package. In our case, we're only interested in the testapi sub-package because we want to test the generated API, not the generator itself.

go test -cover -coverpkg=./test/testapi ./...

Let's try and run the tests with coverage:

Basic coverage

The summary shows we are only covering 22% of the code. The goal is not to cover 100%, some parts only work online calling the actual API of a real Contentful space, but we definitely have room for improvement.

The question is: how do we know exactly which lines of code we're covering through the test suite? Again, go test comes to the rescue through another option: -coverprofile lets us specify an output file that will contain references to each single line of code involved in the analysis. It is a text file, but not very readable:

github.com/foom...tapi/gocontentfulvolibproduct.go:21.86,22.15 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:25.2,25.18 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:28.2,29.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:32.2,33.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:36.2,37.37 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:40.2,40.24 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:22.15,24.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:25.18,27.3 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:29.16,31.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:33.16,35.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:37.37,39.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:43.114,44.35 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:47.2,48.18 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:51.2,53.16 3 0
github.com/foom...tapi/gocontentfulvolibproduct.go:56.2,57.16 2 0
...

We can use go tool to convert it to a much better representation in HTML:

go tool cover -html=cover.out -o cover.html

Opening this file in a browser reveals a lot of useful information:

Coverage HTML

At the top left of the page there's a menu where we can select from all the files analyzed, listed along with the percentage of coverage for each one. Inside every file the lines covered by the tests are green while the red ones are not covered. In the example above we can see that the getAllAssets function is covered but it includes an else condition that is never met.

In gocontentful (starting from 1.0.18) we can generate the test API, run the tests with coverage, convert the output file and open it in the browser with a single command:

make cover

As stated above, not necessarily 100% of the code needs to be covered by the tests, but this view in combination with the race detector gives us incredibly useful information to make the code more solid.

+ + \ No newline at end of file diff --git a/blog/impact-of-3rd-party-scripts-on-performance.html b/blog/impact-of-3rd-party-scripts-on-performance.html index 58686bb..b1b8f3f 100644 --- a/blog/impact-of-3rd-party-scripts-on-performance.html +++ b/blog/impact-of-3rd-party-scripts-on-performance.html @@ -2,21 +2,21 @@ - + Impact of 3rd party scripts on performance | foomo project docs - - - + + +
-

Impact of 3rd party scripts on performance

Marko Trebižan

Issue with performance​

When building an ecommerce site or an application where performance is a great deal for the users, you need to keep your application fast and responsive. Frontend developers have already many use-cases when the UI becomes laggy and this increases when 3rd party scripts are being included, such as Google Tag Manager or various Live chats (e.g. Intercom).

This does not only influences the users when using the site but also Lighthouse score gets lower which also influences page rankings. So the most naive and easy way for this is to defer loading of such scripts but when you need to get all the data from the start of the application, such tactic is not an option. So what else can we do?

Partytown to the rescue​

Developers at BuilderIO created an library Partytown that would allow relocating resources from 3rd party scripts off the main thread. -We won't dive into specifics how it works, because they explain it nicely on their GitHub page.

In our stack we use Next.js React framework and we will go through the basic steps that will allow us to include Partytown for Google Tag Manager.

Setup​

Partytown script needs to be located inside our application and live on the same domain. Since we're using monorepo structure, we need to copy this script across all our frontend application. For that we used CopyPlugin webpack plugin in our Next.js config file:

config.plugins.push(
      ...
      new CopyPlugin({
        patterns: [
          {
            // we copy script from node_modules partytown package to `~partytown` folder in our package that serves static files
            from: path.join(path.dirname(require.resolve('@builder.io/partytown')), 'lib'),
            // paths for SSR and client side rendering differ
            to: path.join(`${isServer ? '..' : '.'}/static/assets/`, '~partytown'),
          },
        ],
      })
    );

Partytown's requirement is that it needs to know what script should it load into own web worker. For that we set script type to text/partytown. This will prevent script to load on initial load.

Inside _document.tsx we add this:

<Head>
    ...
    // include Partytown and set custom path due to multiple frontends
    <Partytown lib={`${addTrailingSlash(this.props.basePath)}_next/static/assets/~partytown/`} debug={false} />
    // tag 3rd party script with partytown type
    <script type="text/partytown" src={`https://www.googletagmanager.com/gtm.js?id=${id}`} />
    ...
</Head>

Results​

So now, does it work? We used one of our large Ecommerce sites to test the landing Lighthouse score.

This was before adding Partytown:

Lighthouse before Partytown

Here you can see 2 critical things: almost 1s of total blocking time (TBT) and 9s of time to interactive (TTI).

After we added Partytown, we got this:

Lighthouse after Partytown

Time to interactive went from 9s to 6.1s which is almost 33% improvement and total blocking time was reduce by more than 50%! We were more than impressed how easy it was to improve our performances.

Side note: Both screenshots were compressed using Squoosh App.

Next steps

After successful testing of Partytown for Google Tag Manager script, we are more than interested in trying it out on our other scripts. One important topic will be to test Partytown with other service-worker related libraries and how to use them together.

- - +

Impact of 3rd party scripts on performance

Marko Trebižan

Issue with performance​

When building an ecommerce site or an application where performance is a great deal for the users, you need to keep your application fast and responsive. Frontend developers have already many use-cases when the UI becomes laggy and this increases when 3rd party scripts are being included, such as Google Tag Manager or various Live chats (e.g. Intercom).

This does not only influences the users when using the site but also Lighthouse score gets lower which also influences page rankings. So the most naive and easy way for this is to defer loading of such scripts but when you need to get all the data from the start of the application, such tactic is not an option. So what else can we do?

Partytown to the rescue​

Developers at BuilderIO created an library Partytown that would allow relocating resources from 3rd party scripts off the main thread. +We won't dive into specifics how it works, because they explain it nicely on their GitHub page.

In our stack we use Next.js React framework and we will go through the basic steps that will allow us to include Partytown for Google Tag Manager.

Setup​

Partytown script needs to be located inside our application and live on the same domain. Since we're using monorepo structure, we need to copy this script across all our frontend application. For that we used CopyPlugin webpack plugin in our Next.js config file:

config.plugins.push(
      ...
      new CopyPlugin({
        patterns: [
          {
            // we copy script from node_modules partytown package to `~partytown` folder in our package that serves static files
            from: path.join(path.dirname(require.resolve('@builder.io/partytown')), 'lib'),
            // paths for SSR and client side rendering differ
            to: path.join(`${isServer ? '..' : '.'}/static/assets/`, '~partytown'),
          },
        ],
      })
    );

Partytown's requirement is that it needs to know what script should it load into own web worker. For that we set script type to text/partytown. This will prevent script to load on initial load.

Inside _document.tsx we add this:

<Head>
    ...
    // include Partytown and set custom path due to multiple frontends
    <Partytown lib={`${addTrailingSlash(this.props.basePath)}_next/static/assets/~partytown/`} debug={false} />
    // tag 3rd party script with partytown type
    <script type="text/partytown" src={`https://www.googletagmanager.com/gtm.js?id=${id}`} />
    ...
</Head>

Results​

So now, does it work? We used one of our large Ecommerce sites to test the landing Lighthouse score.

This was before adding Partytown:

Lighthouse before Partytown

Here you can see 2 critical things: almost 1s of total blocking time (TBT) and 9s of time to interactive (TTI).

After we added Partytown, we got this:

Lighthouse after Partytown

Time to interactive went from 9s to 6.1s which is almost 33% improvement and total blocking time was reduce by more than 50%! We were more than impressed how easy it was to improve our performances.

Side note: Both screenshots were compressed using Squoosh App.

Next steps

After successful testing of Partytown for Google Tag Manager script, we are more than interested in trying it out on our other scripts. One important topic will be to test Partytown with other service-worker related libraries and how to use them together.

+ + \ No newline at end of file diff --git a/blog/prometheus-cardinality-issues.html b/blog/prometheus-cardinality-issues.html index 98b6532..b6187df 100644 --- a/blog/prometheus-cardinality-issues.html +++ b/blog/prometheus-cardinality-issues.html @@ -2,24 +2,24 @@ - + Prometheus Is Out Of Memory. Again. | foomo project docs - - - + + +
-

Prometheus Is Out Of Memory. Again.

Stefan Martinov

The Annoyance​

So, we've all been there. You go to your trusty grafana, search for some sweet metrics that you implemented and WHAM! +

Prometheus Is Out Of Memory. Again.

Stefan Martinov

The Annoyance​

So, we've all been there. You go to your trusty grafana, search for some sweet metrics that you implemented and WHAM! Prometheus returns us a 503, a trusty way of saying I'm not ready, and I'm probably going to die soon. And since we're running in kubernetes I'm going to die soon, again and again. And you're getting reports from your colleagues that prometheus is not responding. -And you can't ignore them anymore.

Bummer.

The Problem​

All right, lets check what's happening to the little guy.

kubectl get pods -n monitoring

prometheus-prometheus-kube-prometheus-prometheus-0       1/2     Running   4          5m

It seems like it's stuck in the running state, where the container is not yet ready. -Let's describe the deployment, to check out what's happening.

     State:          Running                                                                                                                                                                                                                        │
       Started:      Wed, 12 Jan 2022 15:12:49 +0100                                                                                                                                                                                                │
     Last State:     Terminated                                                                                                                                                                                                                     │
       Reason:       OOMKilled                                                                                                                                                                                                                      │
       Exit Code:    137                                                                                                                                                                                                                            │
       Started:      Tue, 11 Jan 2022 17:14:41 +0100                                                                                                                                                                                                │
       Finished:     Wed, 12 Jan 2022 15:12:47 +0100                                                                                                                                                                                                │

So we see that the prometheus is in a running state waiting for the readiness probe to trigger, probably working on recovering from Write Ahead Log (WAL). +And you can't ignore them anymore.

Bummer.

The Problem​

All right, lets check what's happening to the little guy.

kubectl get pods -n monitoring

prometheus-prometheus-kube-prometheus-prometheus-0       1/2     Running   4          5m

It seems like it's stuck in the running state, where the container is not yet ready. +Let's describe the deployment, to check out what's happening.

     State:          Running                                                                                                                                                                                                                        │
       Started:      Wed, 12 Jan 2022 15:12:49 +0100                                                                                                                                                                                                │
     Last State:     Terminated                                                                                                                                                                                                                     │
       Reason:       OOMKilled                                                                                                                                                                                                                      │
       Exit Code:    137                                                                                                                                                                                                                            │
       Started:      Tue, 11 Jan 2022 17:14:41 +0100                                                                                                                                                                                                │
       Finished:     Wed, 12 Jan 2022 15:12:47 +0100                                                                                                                                                                                                │

So we see that the prometheus is in a running state waiting for the readiness probe to trigger, probably working on recovering from Write Ahead Log (WAL). This could be an issue where prometheus is recovering from an error, or a restart and does not have enough memory to write everything in the WAL. We could be running into an issue where we set the request/limits memory lower than the prometheus requires, and the kube scheduler keeps killing prometheus for wanting more memory.

For this case, we could give it more memory to work to see if it recovers. We should also analyze why the prometheus WAL is getting clogged up.

In essence, we want to check what has changed so that we suddenly have a high memory spike in our sweet, sweet environment.

The Source​

Cardinality

A lot of prometheus issues revolve around cardinality. Memory spikes that break your deployment? Cardinality. @@ -29,12 +29,12 @@ So, as you can see much of life's problems can be accredited to cardinality For example, if our metric http_request_total had a label response code, and let's say we support 8 status codes, our cardinality starts off at 8. For good measure we want to record the HTTP verb for the request. We support GET POST PUT HEAD which would put the cardinality to 4*8=32. Now, if someone adds a URL to the metric label (!!VERY BAD IDEA!!, but bare with me now) and we have 2 active pages, we'd have a cardinality of 2*4*8=64. -But, imagine someone starts scraping your website for potential vulnerabilities. Imagine all the URLs that will appear, most likely only once.

mywebsite.com/admin.php
mywebsite.com/wp/admin.php
mywebsite.com/?utm_source=GUID
...

This would blow up our cardinality to kingdom come. Like you will be out of memory faster than "a new super awesome Javascript gamechanger framework" is born. +But, imagine someone starts scraping your website for potential vulnerabilities. Imagine all the URLs that will appear, most likely only once.

mywebsite.com/admin.php
mywebsite.com/wp/admin.php
mywebsite.com/?utm_source=GUID
...

This would blow up our cardinality to kingdom come. Like you will be out of memory faster than "a new super awesome Javascript gamechanger framework" is born. Or to quote user naveen17797 Scientists predict the number of js frameworks may exceed human population by 2020,at that point of time random string generators will be used to name those frameworks.

The point to this story is, be very mindful of how you use labels and cardinality in prometheus, since that will indeed have great impact on your prometheus performance.

The Solution​

Since this has never happened to me (never-ever) I found the following solution to be handy. Since we can't get prometheus up and running to utilize PromQL to detect the potential issues, we have to find another way to detect high cardinality. -Therefore, we might want to get our hands dirty with some kubectl exec -it -n monitoring pods/prometheus-prometheus-kube-prometheus-prometheus-0 -- sh, and run the prometheus tsdb analysis too.

/prometheus $ promtool tsdb analyze .

Which produced the result.

> Block ID: 01FT8E8YY4THHZ2S7C3G04GJMG
> Duration: 1h59m59.997s
> Series: 564171
> Label names: 285
> Postings (unique label pairs): 21139
> Postings entries (total label pairs): 6423664
>
> ...
>
> Highest cardinality metric names:
> 11340 haproxy_server_http_responses_total
> ...

We see the potential issue here, where the haproxy_server_http_responses_total metric is having a super-high cardinality which is growing. +Therefore, we might want to get our hands dirty with some kubectl exec -it -n monitoring pods/prometheus-prometheus-kube-prometheus-prometheus-0 -- sh, and run the prometheus tsdb analysis too.

/prometheus $ promtool tsdb analyze .

Which produced the result.

> Block ID: 01FT8E8YY4THHZ2S7C3G04GJMG
> Duration: 1h59m59.997s
> Series: 564171
> Label names: 285
> Postings (unique label pairs): 21139
> Postings entries (total label pairs): 6423664
>
> ...
>
> Highest cardinality metric names:
> 11340 haproxy_server_http_responses_total
> ...

We see the potential issue here, where the haproxy_server_http_responses_total metric is having a super-high cardinality which is growing. We need to deal with it, so that our prometheus instance can breathe again. In this particular case, the solution was updating the haproxy.

... or burn it, up to you.

Flame Thrower

The Further Reading​

  1. WAL Definition
  2. WAL & Checkpoints
  3. Using TSDB
  4. Biggest Metrics
  5. Cardinality
- - + + \ No newline at end of file diff --git a/blog/rss.xml b/blog/rss.xml index 9cc4c16..1b8b40d 100644 --- a/blog/rss.xml +++ b/blog/rss.xml @@ -14,7 +14,7 @@ https://www.foomo.org/blog/go-race-conditions-testing-and-coverage Fri, 17 Mar 2023 00:00:00 GMT - Go has extensive support for concurrency through goroutines and channels. This feature allows programs to progress on several tasks at the same time but it requires some extra care to prevent situations where multiple goroutines might collide and lead to a panic. These are known as race conditions and they happen when a shared variable is read and written at the same time by two different routines. A typical example is a concurrent read/write of a map in memory.

To illustrate an example let's consider gocontentful, the code generator that creates an API to access a Contentful CMS from go. The generated API uses an in-memory cache to store a copy of a Contentful space and some extra data structures to allow go programs to access Contentful data, inspect and resolve references and so on. In a typical scenario, the client is used in a service that responds to HTTP calls and makes heavy use of concurrency because it needs to be able, at the same time, to:

  • Read entries, assets and references from the cache
  • Update/Delete single entities and their connections with others (for example the map of parent entries)
  • Incrementally sync the content of the cache with data changes coming from Contentful
  • Rebuild the cache entirely and swap the existing one with a new copy

In addition, for performance reasons, when the cache is created or rebuilt the gocontentful client spawns up to four goroutines to download chunks of data in parallel across the Internet, dynamically selecting the size the sorting of the chunks to leverage the maximum parallelism.

Detecting race conditions through unit tests​

We experienced race conditions with the client in the past, and we fixed them to maintain it production-ready with every new version. To help with this, we included a testing framework in gocontentful that generates a sample API from a local export of a Contentful space and then runs several unit tests that, among others, test the client for concurrency safety:

make test

One of these unit tests spawns tens of thousands of goroutines to concurrently read, write and inspect the references of specific entries while at the same time keeps rebuilding the cache. From the screenshot above we see that no race condition is shown. Even at this concurrency level, though there's no guarantee that running

go test ./...

will be enough to generate a collision. What we really want to do is to add a new parameter to enable the go race detector with

go test -race ./...

(In gocontentful you can run make race to fire up both the API generation and the race test)

From the documentation at https://go.dev/blog/race-detector:

When the -race command-line flag is set, the compiler instruments all memory accesses with code that records when and how the memory was accessed, while the runtime library watches for unsynchronized accesses to shared variables. When such “racy” behavior is detected, a warning is printed.

Running this in gocontentful shows that we indeed have a potential collision condition:

Race condition

Note: After you run this test you'll want to search for "race" inside the terminal output. Make sure you enable a very long (if not infinite) scrollback or you might miss some hits.

The race detector reports the filenames and lines of code that generated the race condition. Looking at those lines in our example shows that a field of the cache (the "offline" boolean) is written protecting it with a proper mutex lock but the lock handling is missing around the read operation:

Read access

Write access

The fix is very simple but in this particular case the offline flag is read and then a 2 seconds delay is started. Deferring the unlock would keep the variable locked for far too long, so we will read-lock it only for the time needed to copy its value to a local variable:

Fix race condition

After fixing the issue in the generator templates and regenerating the code, the tests with the race detector run fine. In gocontentful this can be done all in one step with make race:

No race condition

Test coverage​

That was nice! But how do we know if we're covering all test cases? Go has been supporting test code coverage since 1.12 through the -cover option. We can also limit the coverage to a specific package. In our case, we're only interested in the testapi sub-package because we want to test the generated API, not the generator itself.

go test -cover -coverpkg=./test/testapi ./...

Let's try and run the tests with coverage:

Basic coverage

The summary shows we are only covering 22% of the code. The goal is not to cover 100%, some parts only work online calling the actual API of a real Contentful space, but we definitely have room for improvement.

The question is: how do we know exactly which lines of code we're covering through the test suite? Again, go test comes to the rescue through another option: -coverprofile lets us specify an output file that will contain references to each single line of code involved in the analysis. It is a text file, but not very readable:

github.com/foom...tapi/gocontentfulvolibproduct.go:21.86,22.15 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:25.2,25.18 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:28.2,29.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:32.2,33.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:36.2,37.37 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:40.2,40.24 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:22.15,24.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:25.18,27.3 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:29.16,31.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:33.16,35.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:37.37,39.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:43.114,44.35 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:47.2,48.18 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:51.2,53.16 3 0
github.com/foom...tapi/gocontentfulvolibproduct.go:56.2,57.16 2 0
...

We can use go tool to convert it to a much better representation in HTML:

go tool cover -html=cover.out -o cover.html

Opening this file in a browser reveals a lot of useful information:

Coverage HTML

At the top left of the page there's a menu where we can select from all the files analyzed, listed along with the percentage of coverage for each one. Inside every file the lines covered by the tests are green while the red ones are not covered. In the example above we can see that the getAllAssets function is covered but it includes an else condition that is never met.

In gocontentful (starting from 1.0.18) we can generate the test API, run the tests with coverage, convert the output file and open it in the browser with a single command:

make cover

As stated above, not necessarily 100% of the code needs to be covered by the tests, but this view in combination with the race detector gives us incredibly useful information to make the code more solid.

]]> + Go has extensive support for concurrency through goroutines and channels. This feature allows programs to progress on several tasks at the same time but it requires some extra care to prevent situations where multiple goroutines might collide and lead to a panic. These are known as race conditions and they happen when a shared variable is read and written at the same time by two different routines. A typical example is a concurrent read/write of a map in memory.

To illustrate an example let's consider gocontentful, the code generator that creates an API to access a Contentful CMS from go. The generated API uses an in-memory cache to store a copy of a Contentful space and some extra data structures to allow go programs to access Contentful data, inspect and resolve references and so on. In a typical scenario, the client is used in a service that responds to HTTP calls and makes heavy use of concurrency because it needs to be able, at the same time, to:

  • Read entries, assets and references from the cache
  • Update/Delete single entities and their connections with others (for example the map of parent entries)
  • Incrementally sync the content of the cache with data changes coming from Contentful
  • Rebuild the cache entirely and swap the existing one with a new copy

In addition, for performance reasons, when the cache is created or rebuilt the gocontentful client spawns up to four goroutines to download chunks of data in parallel across the Internet, dynamically selecting the size the sorting of the chunks to leverage the maximum parallelism.

Detecting race conditions through unit tests​

We experienced race conditions with the client in the past, and we fixed them to maintain it production-ready with every new version. To help with this, we included a testing framework in gocontentful that generates a sample API from a local export of a Contentful space and then runs several unit tests that, among others, test the client for concurrency safety:

make test

One of these unit tests spawns tens of thousands of goroutines to concurrently read, write and inspect the references of specific entries while at the same time keeps rebuilding the cache. From the screenshot above we see that no race condition is shown. Even at this concurrency level, though there's no guarantee that running

go test ./...

will be enough to generate a collision. What we really want to do is to add a new parameter to enable the go race detector with

go test -race ./...

(In gocontentful you can run make race to fire up both the API generation and the race test)

From the documentation at https://go.dev/blog/race-detector:

When the -race command-line flag is set, the compiler instruments all memory accesses with code that records when and how the memory was accessed, while the runtime library watches for unsynchronized accesses to shared variables. When such “racy” behavior is detected, a warning is printed.

Running this in gocontentful shows that we indeed have a potential collision condition:

Race condition

Note: After you run this test you'll want to search for "race" inside the terminal output. Make sure you enable a very long (if not infinite) scrollback or you might miss some hits.

The race detector reports the filenames and lines of code that generated the race condition. Looking at those lines in our example shows that a field of the cache (the "offline" boolean) is written protecting it with a proper mutex lock but the lock handling is missing around the read operation:

Read access

Write access

The fix is very simple but in this particular case the offline flag is read and then a 2 seconds delay is started. Deferring the unlock would keep the variable locked for far too long, so we will read-lock it only for the time needed to copy its value to a local variable:

Fix race condition

After fixing the issue in the generator templates and regenerating the code, the tests with the race detector run fine. In gocontentful this can be done all in one step with make race:

No race condition

Test coverage​

That was nice! But how do we know if we're covering all test cases? Go has been supporting test code coverage since 1.12 through the -cover option. We can also limit the coverage to a specific package. In our case, we're only interested in the testapi sub-package because we want to test the generated API, not the generator itself.

go test -cover -coverpkg=./test/testapi ./...

Let's try and run the tests with coverage:

Basic coverage

The summary shows we are only covering 22% of the code. The goal is not to cover 100%, some parts only work online calling the actual API of a real Contentful space, but we definitely have room for improvement.

The question is: how do we know exactly which lines of code we're covering through the test suite? Again, go test comes to the rescue through another option: -coverprofile lets us specify an output file that will contain references to each single line of code involved in the analysis. It is a text file, but not very readable:

github.com/foom...tapi/gocontentfulvolibproduct.go:21.86,22.15 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:25.2,25.18 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:28.2,29.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:32.2,33.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:36.2,37.37 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:40.2,40.24 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:22.15,24.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:25.18,27.3 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:29.16,31.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:33.16,35.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:37.37,39.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:43.114,44.35 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:47.2,48.18 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:51.2,53.16 3 0
github.com/foom...tapi/gocontentfulvolibproduct.go:56.2,57.16 2 0
...

We can use go tool to convert it to a much better representation in HTML:

go tool cover -html=cover.out -o cover.html

Opening this file in a browser reveals a lot of useful information:

Coverage HTML

At the top left of the page there's a menu where we can select from all the files analyzed, listed along with the percentage of coverage for each one. Inside every file the lines covered by the tests are green while the red ones are not covered. In the example above we can see that the getAllAssets function is covered but it includes an else condition that is never met.

In gocontentful (starting from 1.0.18) we can generate the test API, run the tests with coverage, convert the output file and open it in the browser with a single command:

make cover

As stated above, not necessarily 100% of the code needs to be covered by the tests, but this view in combination with the race detector gives us incredibly useful information to make the code more solid.

]]> golang concurrency testing @@ -25,7 +25,7 @@ https://www.foomo.org/blog/accuracy-of-decimal-computations Mon, 06 Mar 2023 00:00:00 GMT - Intro​

Calculating with money can be tricky if not taken proper precautions. Some might be tempted to use float representation for calculating with currency values. That is problematic because of possible rounding errors.

Finite accuracy of representation​

Floating points are represented like this

Floating point representation

Not every number can be represented with a finite number of decimal places

0.01 —> 0.0000011001100110011…

Taking 17 places of the above results in 0.010000000000000001

Consider the following code snipet that shows the missing accuracy

func main() {

  var n float64 = 0

  for i := 0; i < 1000; i++ {
    n += .01
  }

  fmt.Println(n)

}

Result: 9.999999999999831

Money computations​

They can't be done with floating-point as it would inevitably lead to rounding errors.

Even the following packages are problematic:

github.com/shopspring/decimal

github.com/Rhymond/go-money

a := decimal.NewFromInt(2)
b := decimal.NewFromFloat(300.99)
c := a.Mul(b)
d := c.Div(decimal.NewFromInt(3))

Solution​

Use Int by representing money in cents:

  • 10.99 -> 1099 (cents)
  • 10.9900 -> 109900 (4 digit tax)

Conclusion​

Division is a problem!

1/3 - > 0.33333333… + Intro​

Calculating with money can be tricky if not taken proper precautions. Some might be tempted to use float representation for calculating with currency values. That is problematic because of possible rounding errors.

Finite accuracy of representation​

Floating points are represented like this

Floating point representation

Not every number can be represented with a finite number of decimal places

0.01 —> 0.0000011001100110011…

Taking 17 places of the above results in 0.010000000000000001

Consider the following code snipet that shows the missing accuracy

func main() {

  var n float64 = 0

  for i := 0; i < 1000; i++ {
    n += .01
  }

  fmt.Println(n)

}

Result: 9.999999999999831

Money computations​

They can't be done with floating-point as it would inevitably lead to rounding errors.

Even the following packages are problematic:

github.com/shopspring/decimal

github.com/Rhymond/go-money

a := decimal.NewFromInt(2)
b := decimal.NewFromFloat(300.99)
c := a.Mul(b)
d := c.Div(decimal.NewFromInt(3))

Solution​

Use Int by representing money in cents:

  • 10.99 -> 1099 (cents)
  • 10.9900 -> 109900 (4 digit tax)

Conclusion​

Division is a problem!

1/3 - > 0.33333333… Correct way: 0.33, 0.33, 0.34

When doing money calculations one should avoid division as it inevitably leads to loss of accuracy. When dividing make sure to round to cent and deal with diffs.

Division by 10^k is ok as long as we are inside of the range of the data type.

]]> golang @@ -56,8 +56,8 @@ You will cry... A lot... But don’t give up!

The Prometheus returns us a 503, a trusty way of saying I'm not ready, and I'm probably going to die soon. And since we're running in kubernetes I'm going to die soon, again and again. And you're getting reports from your colleagues that prometheus is not responding. -And you can't ignore them anymore.</p><p><img loading=

The Problem​

All right, lets check what's happening to the little guy.

kubectl get pods -n monitoring

prometheus-prometheus-kube-prometheus-prometheus-0       1/2     Running   4          5m

It seems like it's stuck in the running state, where the container is not yet ready. -Let's describe the deployment, to check out what's happening.

     State:          Running                                                                                                                                                                                                                        │
       Started:      Wed, 12 Jan 2022 15:12:49 +0100                                                                                                                                                                                                │
     Last State:     Terminated                                                                                                                                                                                                                     │
       Reason:       OOMKilled                                                                                                                                                                                                                      │
       Exit Code:    137                                                                                                                                                                                                                            │
       Started:      Tue, 11 Jan 2022 17:14:41 +0100                                                                                                                                                                                                │
       Finished:     Wed, 12 Jan 2022 15:12:47 +0100                                                                                                                                                                                                │

So we see that the prometheus is in a running state waiting for the readiness probe to trigger, probably working on recovering from Write Ahead Log (WAL). +And you can't ignore them anymore.

Bummer.

The Problem​

All right, lets check what's happening to the little guy.

kubectl get pods -n monitoring

prometheus-prometheus-kube-prometheus-prometheus-0       1/2     Running   4          5m

It seems like it's stuck in the running state, where the container is not yet ready. +Let's describe the deployment, to check out what's happening.

     State:          Running                                                                                                                                                                                                                        │
       Started:      Wed, 12 Jan 2022 15:12:49 +0100                                                                                                                                                                                                │
     Last State:     Terminated                                                                                                                                                                                                                     │
       Reason:       OOMKilled                                                                                                                                                                                                                      │
       Exit Code:    137                                                                                                                                                                                                                            │
       Started:      Tue, 11 Jan 2022 17:14:41 +0100                                                                                                                                                                                                │
       Finished:     Wed, 12 Jan 2022 15:12:47 +0100                                                                                                                                                                                                │

So we see that the prometheus is in a running state waiting for the readiness probe to trigger, probably working on recovering from Write Ahead Log (WAL). This could be an issue where prometheus is recovering from an error, or a restart and does not have enough memory to write everything in the WAL. We could be running into an issue where we set the request/limits memory lower than the prometheus requires, and the kube scheduler keeps killing prometheus for wanting more memory.

For this case, we could give it more memory to work to see if it recovers. We should also analyze why the prometheus WAL is getting clogged up.

In essence, we want to check what has changed so that we suddenly have a high memory spike in our sweet, sweet environment.

The Source​

Cardinality

A lot of prometheus issues revolve around cardinality. Memory spikes that break your deployment? Cardinality. @@ -67,10 +67,10 @@ So, as you can see much of life's problems can be accredited to cardinality.

For example, if our metric http_request_total had a label response code, and let's say we support 8 status codes, our cardinality starts off at 8. For good measure we want to record the HTTP verb for the request. We support GET POST PUT HEAD which would put the cardinality to 4*8=32. Now, if someone adds a URL to the metric label (!!VERY BAD IDEA!!, but bare with me now) and we have 2 active pages, we'd have a cardinality of 2*4*8=64. -But, imagine someone starts scraping your website for potential vulnerabilities. Imagine all the URLs that will appear, most likely only once.

mywebsite.com/admin.php
mywebsite.com/wp/admin.php
mywebsite.com/?utm_source=GUID
...

This would blow up our cardinality to kingdom come. Like you will be out of memory faster than "a new super awesome Javascript gamechanger framework" is born. +But, imagine someone starts scraping your website for potential vulnerabilities. Imagine all the URLs that will appear, most likely only once.

mywebsite.com/admin.php
mywebsite.com/wp/admin.php
mywebsite.com/?utm_source=GUID
...

This would blow up our cardinality to kingdom come. Like you will be out of memory faster than "a new super awesome Javascript gamechanger framework" is born. Or to quote user naveen17797 Scientists predict the number of js frameworks may exceed human population by 2020,at that point of time random string generators will be used to name those frameworks.

The point to this story is, be very mindful of how you use labels and cardinality in prometheus, since that will indeed have great impact on your prometheus performance.

The Solution​

Since this has never happened to me (never-ever) I found the following solution to be handy. Since we can't get prometheus up and running to utilize PromQL to detect the potential issues, we have to find another way to detect high cardinality. -Therefore, we might want to get our hands dirty with some kubectl exec -it -n monitoring pods/prometheus-prometheus-kube-prometheus-prometheus-0 -- sh, and run the prometheus tsdb analysis too.

/prometheus $ promtool tsdb analyze .

Which produced the result.

> Block ID: 01FT8E8YY4THHZ2S7C3G04GJMG
> Duration: 1h59m59.997s
> Series: 564171
> Label names: 285
> Postings (unique label pairs): 21139
> Postings entries (total label pairs): 6423664
>
> ...
>
> Highest cardinality metric names:
> 11340 haproxy_server_http_responses_total
> ...

We see the potential issue here, where the haproxy_server_http_responses_total metric is having a super-high cardinality which is growing. +Therefore, we might want to get our hands dirty with some kubectl exec -it -n monitoring pods/prometheus-prometheus-kube-prometheus-prometheus-0 -- sh, and run the prometheus tsdb analysis too.

/prometheus $ promtool tsdb analyze .

Which produced the result.

> Block ID: 01FT8E8YY4THHZ2S7C3G04GJMG
> Duration: 1h59m59.997s
> Series: 564171
> Label names: 285
> Postings (unique label pairs): 21139
> Postings entries (total label pairs): 6423664
>
> ...
>
> Highest cardinality metric names:
> 11340 haproxy_server_http_responses_total
> ...

We see the potential issue here, where the haproxy_server_http_responses_total metric is having a super-high cardinality which is growing. We need to deal with it, so that our prometheus instance can breathe again. In this particular case, the solution was updating the haproxy.

... or burn it, up to you.

Flame Thrower

The Further Reading​

  1. WAL Definition
  2. WAL & Checkpoints
  3. Using TSDB
  4. Biggest Metrics
  5. Cardinality
]]> prometheus cardinality @@ -101,7 +101,7 @@ We need to deal with it, so that our prometheus instance can breathe again. In t Thu, 20 Jan 2022 00:00:00 GMT Issue with performance​

When building an ecommerce site or an application where performance is a great deal for the users, you need to keep your application fast and responsive. Frontend developers have already many use-cases when the UI becomes laggy and this increases when 3rd party scripts are being included, such as Google Tag Manager or various Live chats (e.g. Intercom).

This does not only influences the users when using the site but also Lighthouse score gets lower which also influences page rankings. So the most naive and easy way for this is to defer loading of such scripts but when you need to get all the data from the start of the application, such tactic is not an option. So what else can we do?

Partytown to the rescue​

Developers at BuilderIO created an library Partytown that would allow relocating resources from 3rd party scripts off the main thread. -We won't dive into specifics how it works, because they explain it nicely on their GitHub page.

In our stack we use Next.js React framework and we will go through the basic steps that will allow us to include Partytown for Google Tag Manager.

Setup​

Partytown script needs to be located inside our application and live on the same domain. Since we're using monorepo structure, we need to copy this script across all our frontend application. For that we used CopyPlugin webpack plugin in our Next.js config file:

config.plugins.push(
      ...
      new CopyPlugin({
        patterns: [
          {
            // we copy script from node_modules partytown package to `~partytown` folder in our package that serves static files
            from: path.join(path.dirname(require.resolve('@builder.io/partytown')), 'lib'),
            // paths for SSR and client side rendering differ
            to: path.join(`${isServer ? '..' : '.'}/static/assets/`, '~partytown'),
          },
        ],
      })
    );

Partytown's requirement is that it needs to know what script should it load into own web worker. For that we set script type to text/partytown. This will prevent script to load on initial load.

Inside _document.tsx we add this:

<Head>
    ...
    // include Partytown and set custom path due to multiple frontends
    <Partytown lib={`${addTrailingSlash(this.props.basePath)}_next/static/assets/~partytown/`} debug={false} />
    // tag 3rd party script with partytown type
    <script type="text/partytown" src={`https://www.googletagmanager.com/gtm.js?id=${id}`} />
    ...
</Head>

Results​

So now, does it work? We used one of our large Ecommerce sites to test the landing Lighthouse score.

This was before adding Partytown:

Lighthouse before Partytown

Here you can see 2 critical things: almost 1s of total blocking time (TBT) and 9s of time to interactive (TTI).

After we added Partytown, we got this:

Lighthouse after Partytown

Time to interactive went from 9s to 6.1s which is almost 33% improvement and total blocking time was reduce by more than 50%! We were more than impressed how easy it was to improve our performances.

Side note: Both screenshots were compressed using Squoosh App.

Next steps

After successful testing of Partytown for Google Tag Manager script, we are more than interested in trying it out on our other scripts. One important topic will be to test Partytown with other service-worker related libraries and how to use them together.

]]> +We won't dive into specifics how it works, because they explain it nicely on their GitHub page.

In our stack we use Next.js React framework and we will go through the basic steps that will allow us to include Partytown for Google Tag Manager.

Setup​

Partytown script needs to be located inside our application and live on the same domain. Since we're using monorepo structure, we need to copy this script across all our frontend application. For that we used CopyPlugin webpack plugin in our Next.js config file:

config.plugins.push(
      ...
      new CopyPlugin({
        patterns: [
          {
            // we copy script from node_modules partytown package to `~partytown` folder in our package that serves static files
            from: path.join(path.dirname(require.resolve('@builder.io/partytown')), 'lib'),
            // paths for SSR and client side rendering differ
            to: path.join(`${isServer ? '..' : '.'}/static/assets/`, '~partytown'),
          },
        ],
      })
    );

Partytown's requirement is that it needs to know what script should it load into own web worker. For that we set script type to text/partytown. This will prevent script to load on initial load.

Inside _document.tsx we add this:

<Head>
    ...
    // include Partytown and set custom path due to multiple frontends
    <Partytown lib={`${addTrailingSlash(this.props.basePath)}_next/static/assets/~partytown/`} debug={false} />
    // tag 3rd party script with partytown type
    <script type="text/partytown" src={`https://www.googletagmanager.com/gtm.js?id=${id}`} />
    ...
</Head>

Results​

So now, does it work? We used one of our large Ecommerce sites to test the landing Lighthouse score.

This was before adding Partytown:

Lighthouse before Partytown

Here you can see 2 critical things: almost 1s of total blocking time (TBT) and 9s of time to interactive (TTI).

After we added Partytown, we got this:

Lighthouse after Partytown

Time to interactive went from 9s to 6.1s which is almost 33% improvement and total blocking time was reduce by more than 50%! We were more than impressed how easy it was to improve our performances.

Side note: Both screenshots were compressed using Squoosh App.

Next steps

After successful testing of Partytown for Google Tag Manager script, we are more than interested in trying it out on our other scripts. One important topic will be to test Partytown with other service-worker related libraries and how to use them together.

]]> frontend performance diff --git a/blog/searching-for-search-engines.html b/blog/searching-for-search-engines.html index 481cad3..c811ee7 100644 --- a/blog/searching-for-search-engines.html +++ b/blog/searching-for-search-engines.html @@ -2,22 +2,22 @@ - + The never ending search a search engine 2022-01 edition | foomo project docs - - - + + +
-

The never ending search a search engine 2022-01 edition

Jan Halfar

While building this website and integrating https://docsearch.algolia.com and evaluating another solution by a large company in parallel I could not help to search github and the web for the current state of search engines and search related services.

Since I had done the same thing about a year ago, I was surprised to see how quickly things are moving atm.

Algolia​

I was blown away by the quality of https://www.algolia.com and I wish it was open source, but I guess, we all have to make a living ;)

To see how awesome a web (search) interface can be check out https://www.lacoste.com/us/#query=red%20jackets%20for%20men

Apart from that the UI/UX of their backend tools is fantastic.

Elastic​

When it comes to https://www.elastic.com I am a bit nervous about the future of the licensing, despite the fact, that I understand their motivation. At the same time the https://opensearch.org does not seem to be an ampty threat.

typesense.org​

I do not know, who was hiding under a rock, but I had not seen https://typesense.org before and they certainly have a bold claim: "The Open Source Algolia Alternative" / "The Easier To Use ElasticSearch Alternative"

When looking at https://github.com/typesense/typesense/graphs/contributors it seems, that Kishore Nallan has been working on this for a while. Unfourtunately I do not really see a lot of external contributions, C++ does not seem to attract a lot of contribution.

MeiliSearch​

This Rust project https://www.meilisearch.com/ seems to be picking up speed and is definetly on the test short list. It is a fresh codebase with siginficant open source contributions and certainly will attract new developers with Rust and a modern architecture.

Go eco system​

Obviously we are very interested in Go powered software and there are a few notable projects. ATM I do not see anything elastic or algolia like, that would be really mature.

bleve / bluge​

Marty Schoch seems to be the man when it comes down to text indexing libraries in written in Go and bluge seems to be THE library, that is solid and modern, when implementing text search in your Go application.

https://github.com/blevesearch/bleve +

The never ending search a search engine 2022-01 edition

Jan Halfar

While building this website and integrating https://docsearch.algolia.com and evaluating another solution by a large company in parallel I could not help to search github and the web for the current state of search engines and search related services.

Since I had done the same thing about a year ago, I was surprised to see how quickly things are moving atm.

Algolia​

I was blown away by the quality of https://www.algolia.com and I wish it was open source, but I guess, we all have to make a living ;)

To see how awesome a web (search) interface can be check out https://www.lacoste.com/us/#query=red%20jackets%20for%20men

Apart from that the UI/UX of their backend tools is fantastic.

Elastic​

When it comes to https://www.elastic.com I am a bit nervous about the future of the licensing, despite the fact, that I understand their motivation. At the same time the https://opensearch.org does not seem to be an ampty threat.

typesense.org​

I do not know, who was hiding under a rock, but I had not seen https://typesense.org before and they certainly have a bold claim: "The Open Source Algolia Alternative" / "The Easier To Use ElasticSearch Alternative"

When looking at https://github.com/typesense/typesense/graphs/contributors it seems, that Kishore Nallan has been working on this for a while. Unfourtunately I do not really see a lot of external contributions, C++ does not seem to attract a lot of contribution.

MeiliSearch​

This Rust project https://www.meilisearch.com/ seems to be picking up speed and is definetly on the test short list. It is a fresh codebase with siginficant open source contributions and certainly will attract new developers with Rust and a modern architecture.

Go eco system​

Obviously we are very interested in Go powered software and there are a few notable projects. ATM I do not see anything elastic or algolia like, that would be really mature.

bleve / bluge​

Marty Schoch seems to be the man when it comes down to text indexing libraries in written in Go and bluge seems to be THE library, that is solid and modern, when implementing text search in your Go application.

https://github.com/blevesearch/bleve https://github.com/blugelabs/bluge // next iteration of bleve

projects using bluge​

All bleeding edge afaik atm - but definitely good places to look at bluge usage

https://github.com/prabhatsharma/zinc https://github.com/mosuka/phalanx

Look ma I made a vector database​

Gotta take a look at this one - will report later

https://github.com/semi-technologies/weaviate

- - + + \ No newline at end of file diff --git a/blog/tags.html b/blog/tags.html index 9614632..4fe77de 100644 --- a/blog/tags.html +++ b/blog/tags.html @@ -2,20 +2,20 @@ - + Tags | foomo project docs - - - + + +
-
- - +

Tags

+ + \ No newline at end of file diff --git a/blog/tags/backend.html b/blog/tags/backend.html index d33d3b0..c40834b 100644 --- a/blog/tags/backend.html +++ b/blog/tags/backend.html @@ -2,22 +2,22 @@ - + 2 posts tagged with "backend" | foomo project docs - - - + + +
-

2 posts tagged with "backend"

View All Tags

Jan Halfar

While building this website and integrating https://docsearch.algolia.com and evaluating another solution by a large company in parallel I could not help to search github and the web for the current state of search engines and search related services.

Since I had done the same thing about a year ago, I was surprised to see how quickly things are moving atm.

Algolia​

I was blown away by the quality of https://www.algolia.com and I wish it was open source, but I guess, we all have to make a living ;)

To see how awesome a web (search) interface can be check out https://www.lacoste.com/us/#query=red%20jackets%20for%20men

Apart from that the UI/UX of their backend tools is fantastic.

Elastic​

When it comes to https://www.elastic.com I am a bit nervous about the future of the licensing, despite the fact, that I understand their motivation. At the same time the https://opensearch.org does not seem to be an ampty threat.

typesense.org​

I do not know, who was hiding under a rock, but I had not seen https://typesense.org before and they certainly have a bold claim: "The Open Source Algolia Alternative" / "The Easier To Use ElasticSearch Alternative"

When looking at https://github.com/typesense/typesense/graphs/contributors it seems, that Kishore Nallan has been working on this for a while. Unfourtunately I do not really see a lot of external contributions, C++ does not seem to attract a lot of contribution.

MeiliSearch​

This Rust project https://www.meilisearch.com/ seems to be picking up speed and is definetly on the test short list. It is a fresh codebase with siginficant open source contributions and certainly will attract new developers with Rust and a modern architecture.

Go eco system​

Obviously we are very interested in Go powered software and there are a few notable projects. ATM I do not see anything elastic or algolia like, that would be really mature.

bleve / bluge​

Marty Schoch seems to be the man when it comes down to text indexing libraries in written in Go and bluge seems to be THE library, that is solid and modern, when implementing text search in your Go application.

https://github.com/blevesearch/bleve +

2 posts tagged with "backend"

View All Tags

Jan Halfar

While building this website and integrating https://docsearch.algolia.com and evaluating another solution by a large company in parallel I could not help to search github and the web for the current state of search engines and search related services.

Since I had done the same thing about a year ago, I was surprised to see how quickly things are moving atm.

Algolia​

I was blown away by the quality of https://www.algolia.com and I wish it was open source, but I guess, we all have to make a living ;)

To see how awesome a web (search) interface can be check out https://www.lacoste.com/us/#query=red%20jackets%20for%20men

Apart from that the UI/UX of their backend tools is fantastic.

Elastic​

When it comes to https://www.elastic.com I am a bit nervous about the future of the licensing, despite the fact, that I understand their motivation. At the same time the https://opensearch.org does not seem to be an ampty threat.

typesense.org​

I do not know, who was hiding under a rock, but I had not seen https://typesense.org before and they certainly have a bold claim: "The Open Source Algolia Alternative" / "The Easier To Use ElasticSearch Alternative"

When looking at https://github.com/typesense/typesense/graphs/contributors it seems, that Kishore Nallan has been working on this for a while. Unfourtunately I do not really see a lot of external contributions, C++ does not seem to attract a lot of contribution.

MeiliSearch​

This Rust project https://www.meilisearch.com/ seems to be picking up speed and is definetly on the test short list. It is a fresh codebase with siginficant open source contributions and certainly will attract new developers with Rust and a modern architecture.

Go eco system​

Obviously we are very interested in Go powered software and there are a few notable projects. ATM I do not see anything elastic or algolia like, that would be really mature.

bleve / bluge​

Marty Schoch seems to be the man when it comes down to text indexing libraries in written in Go and bluge seems to be THE library, that is solid and modern, when implementing text search in your Go application.

https://github.com/blevesearch/bleve https://github.com/blugelabs/bluge // next iteration of bleve

projects using bluge​

All bleeding edge afaik atm - but definitely good places to look at bluge usage

https://github.com/prabhatsharma/zinc https://github.com/mosuka/phalanx

Look ma I made a vector database​

Gotta take a look at this one - will report later

https://github.com/semi-technologies/weaviate

- - + + \ No newline at end of file diff --git a/blog/tags/bundle-size.html b/blog/tags/bundle-size.html index 6221a49..ec81da2 100644 --- a/blog/tags/bundle-size.html +++ b/blog/tags/bundle-size.html @@ -2,23 +2,23 @@ - + One post tagged with "bundle size" | foomo project docs - - - + + +
-

One post tagged with "bundle size"

View All Tags

Nicola Turcato

Intro​

JavaScript is parsed, compiled and executed in the main thread of the browser. Which means that users have to wait for all of this before they can interact with the website.

Frontend performance optimization is critical because it accounts for around 80-90% of user response time (10-20% backend). +

One post tagged with "bundle size"

View All Tags

Nicola Turcato

Intro​

JavaScript is parsed, compiled and executed in the main thread of the browser. Which means that users have to wait for all of this before they can interact with the website.

Frontend performance optimization is critical because it accounts for around 80-90% of user response time (10-20% backend). So when a user is waiting for a page to load, around 80-90% of the time is due to frontend related code and assets.

Nobody likes waiting…​

A study found that if a site takes longer than 4 seconds to load, up to 25% of users would abandon the site.

Sending large JavaScript payloads impacts the speed of your site significantly.

Mazzarri

What is a "bundle"?​

Your frontend application needs a bunch of JS files to run. These files can be in the format of internal dependency like the JS files you have written yourself. But they can also be external dependencies you use to build your application.

JS bundling is an optimization technique to reduce the number of server requests for JavaScript files. Bundling accomplishes this by merging multiple JA files together into one file to reduce the number of page requests.

Bundle Everywhere

Performance implications​

  • Time to transmit over the network: considering slow connections with some mobile devices, it's possible that your page will not be interactive until it loads.-> More bytes = longer download times
  • JS parse and compile time: more code you load, more the browser must parse.-> JS gets parsed and compiled on the main thread, when the main thread is busy, the page can't respond to user input
  • JS execution time: optimally you will only pack the code that you expect to execute. The more code you want to execute the longer it will take. It's possible that your page won't be interactive until some of this completes.-> JS is also executed on the main thread, if your page runs a lot of code before it's really needed, that also delays your Time to Interactive
  • Memory consumption: everything fills up the space -> code itself, runtime variables, DOM elements created, etc.-> Pages appear slow when it consumes a lot of memory. Memory leaks can cause your page to freeze up completely!!

AS SMALL AS POSSIBLE! I experienced that is not really possible to give a precise answer because each application is different. Generally you want the resources on initial load to be as small as possible, so that you decrease the initial load time, and then load more resources as needed on the fly.

Mr Chao

What do we do then?​

Meh

How to start decreasing the bundle size?​

  • Measure: first of all you want to measure. The first step is to use Lighthouse and try to understand the results. It will give you a couple of interesting metrics and some tips. Time to interactive (TTI) is a good reflection of your bundle size because your bundle needs to be evaluated entirely before a user can interact with your web app.
  • Analyze: Consists on analyzing the bundle in order to detect critical chunks. A useful tool is Webpack Bundle Analyzer.

Stonks

Breaking up the bundle...​

  • Monitor network requests: These happens between our FCP and TTI. As the initial request for data often occurs when our components initially mount.
  • Reduce the total dom nodes: the less the page needs to render, the less time it takes.
  • Moving work off the main thread: By moving heavy computations to a web worker, the computation will be run on a separate thread, and not block the actual rendering of the page
  • Caching: Even if not useful for users on first page landing, caching data, bundles, and assets can make subsequent visits way fast

Breaking Bad

Which strategies can we adopt?​

  • Minification and Dead Code Elimination: These processes are often summed up as minifying or uglifying.
  • Tree shaking: Tree shaking is dead code elimination on a project or library. Always try to use deps which support “tree shaking”, Bundlephobia could be your friend in this case.
  • Code Splitting and Lazy Loading: Code splitting consists on taking a collection of modules and remove them from the main JS bundle. Lazy loading means we can load this newly created bundle later on.
  • Replace/rewrite large dependencies: Consider replacing or rewriting libraries that are large in size where you might not need all of its functionalities (Moment.js for example).
  • Feature module import: Check to see if you are using only a feature module of the library that can be imported alone without importing the whole library (Lodash for example).

Strategy

Useful tools to help you reducing bundle size​

  • Lighthouse: automated tool for improving the performance, quality, and correctness of your web apps
  • Bundlephobia: Bundlephobia helps you find the performance impact of npm packages
  • Webpack Bundle Analyzer: analyzes your bundle
  • VS Code: Import Cost plugin -> Display import/require package size in the editor

Tools

Conclusion​

Performance cannot be stripped down to a single metric such as bundle size. It would be great! Unfortunately there is no single place to measure all of them.I think metrics like the Core Web Vitals and a general look at bundle size should be considered as a starting point. You will cry... A lot... But don’t give up!

The End

- - + + \ No newline at end of file diff --git a/blog/tags/bundle.html b/blog/tags/bundle.html index a07945d..ba9b38b 100644 --- a/blog/tags/bundle.html +++ b/blog/tags/bundle.html @@ -2,23 +2,23 @@ - + One post tagged with "bundle" | foomo project docs - - - + + +
-

One post tagged with "bundle"

View All Tags

Nicola Turcato

Intro​

JavaScript is parsed, compiled and executed in the main thread of the browser. Which means that users have to wait for all of this before they can interact with the website.

Frontend performance optimization is critical because it accounts for around 80-90% of user response time (10-20% backend). +

One post tagged with "bundle"

View All Tags

Nicola Turcato

Intro​

JavaScript is parsed, compiled and executed in the main thread of the browser. Which means that users have to wait for all of this before they can interact with the website.

Frontend performance optimization is critical because it accounts for around 80-90% of user response time (10-20% backend). So when a user is waiting for a page to load, around 80-90% of the time is due to frontend related code and assets.

Nobody likes waiting…​

A study found that if a site takes longer than 4 seconds to load, up to 25% of users would abandon the site.

Sending large JavaScript payloads impacts the speed of your site significantly.

Mazzarri

What is a "bundle"?​

Your frontend application needs a bunch of JS files to run. These files can be in the format of internal dependency like the JS files you have written yourself. But they can also be external dependencies you use to build your application.

JS bundling is an optimization technique to reduce the number of server requests for JavaScript files. Bundling accomplishes this by merging multiple JA files together into one file to reduce the number of page requests.

Bundle Everywhere

Performance implications​

  • Time to transmit over the network: considering slow connections with some mobile devices, it's possible that your page will not be interactive until it loads.-> More bytes = longer download times
  • JS parse and compile time: more code you load, more the browser must parse.-> JS gets parsed and compiled on the main thread, when the main thread is busy, the page can't respond to user input
  • JS execution time: optimally you will only pack the code that you expect to execute. The more code you want to execute the longer it will take. It's possible that your page won't be interactive until some of this completes.-> JS is also executed on the main thread, if your page runs a lot of code before it's really needed, that also delays your Time to Interactive
  • Memory consumption: everything fills up the space -> code itself, runtime variables, DOM elements created, etc.-> Pages appear slow when it consumes a lot of memory. Memory leaks can cause your page to freeze up completely!!

AS SMALL AS POSSIBLE! I experienced that is not really possible to give a precise answer because each application is different. Generally you want the resources on initial load to be as small as possible, so that you decrease the initial load time, and then load more resources as needed on the fly.

Mr Chao

What do we do then?​

Meh

How to start decreasing the bundle size?​

  • Measure: first of all you want to measure. The first step is to use Lighthouse and try to understand the results. It will give you a couple of interesting metrics and some tips. Time to interactive (TTI) is a good reflection of your bundle size because your bundle needs to be evaluated entirely before a user can interact with your web app.
  • Analyze: Consists on analyzing the bundle in order to detect critical chunks. A useful tool is Webpack Bundle Analyzer.

Stonks

Breaking up the bundle...​

  • Monitor network requests: These happens between our FCP and TTI. As the initial request for data often occurs when our components initially mount.
  • Reduce the total dom nodes: the less the page needs to render, the less time it takes.
  • Moving work off the main thread: By moving heavy computations to a web worker, the computation will be run on a separate thread, and not block the actual rendering of the page
  • Caching: Even if not useful for users on first page landing, caching data, bundles, and assets can make subsequent visits way fast

Breaking Bad

Which strategies can we adopt?​

  • Minification and Dead Code Elimination: These processes are often summed up as minifying or uglifying.
  • Tree shaking: Tree shaking is dead code elimination on a project or library. Always try to use deps which support “tree shaking”, Bundlephobia could be your friend in this case.
  • Code Splitting and Lazy Loading: Code splitting consists on taking a collection of modules and remove them from the main JS bundle. Lazy loading means we can load this newly created bundle later on.
  • Replace/rewrite large dependencies: Consider replacing or rewriting libraries that are large in size where you might not need all of its functionalities (Moment.js for example).
  • Feature module import: Check to see if you are using only a feature module of the library that can be imported alone without importing the whole library (Lodash for example).

Strategy

Useful tools to help you reducing bundle size​

  • Lighthouse: automated tool for improving the performance, quality, and correctness of your web apps
  • Bundlephobia: Bundlephobia helps you find the performance impact of npm packages
  • Webpack Bundle Analyzer: analyzes your bundle
  • VS Code: Import Cost plugin -> Display import/require package size in the editor

Tools

Conclusion​

Performance cannot be stripped down to a single metric such as bundle size. It would be great! Unfortunately there is no single place to measure all of them.I think metrics like the Core Web Vitals and a general look at bundle size should be considered as a starting point. You will cry... A lot... But don’t give up!

The End

- - + + \ No newline at end of file diff --git a/blog/tags/cardinality.html b/blog/tags/cardinality.html index 35e8baf..3fc1975 100644 --- a/blog/tags/cardinality.html +++ b/blog/tags/cardinality.html @@ -2,24 +2,24 @@ - + One post tagged with "cardinality" | foomo project docs - - - + + +
-

One post tagged with "cardinality"

View All Tags

Stefan Martinov

The Annoyance​

So, we've all been there. You go to your trusty grafana, search for some sweet metrics that you implemented and WHAM! +

One post tagged with "cardinality"

View All Tags

Stefan Martinov

The Annoyance​

So, we've all been there. You go to your trusty grafana, search for some sweet metrics that you implemented and WHAM! Prometheus returns us a 503, a trusty way of saying I'm not ready, and I'm probably going to die soon. And since we're running in kubernetes I'm going to die soon, again and again. And you're getting reports from your colleagues that prometheus is not responding. -And you can't ignore them anymore.

Bummer.

The Problem​

All right, lets check what's happening to the little guy.

kubectl get pods -n monitoring

prometheus-prometheus-kube-prometheus-prometheus-0       1/2     Running   4          5m

It seems like it's stuck in the running state, where the container is not yet ready. -Let's describe the deployment, to check out what's happening.

     State:          Running                                                                                                                                                                                                                        │
       Started:      Wed, 12 Jan 2022 15:12:49 +0100                                                                                                                                                                                                │
     Last State:     Terminated                                                                                                                                                                                                                     │
       Reason:       OOMKilled                                                                                                                                                                                                                      │
       Exit Code:    137                                                                                                                                                                                                                            │
       Started:      Tue, 11 Jan 2022 17:14:41 +0100                                                                                                                                                                                                │
       Finished:     Wed, 12 Jan 2022 15:12:47 +0100                                                                                                                                                                                                │

So we see that the prometheus is in a running state waiting for the readiness probe to trigger, probably working on recovering from Write Ahead Log (WAL). +And you can't ignore them anymore.

Bummer.

The Problem​

All right, lets check what's happening to the little guy.

kubectl get pods -n monitoring

prometheus-prometheus-kube-prometheus-prometheus-0       1/2     Running   4          5m

It seems like it's stuck in the running state, where the container is not yet ready. +Let's describe the deployment, to check out what's happening.

     State:          Running                                                                                                                                                                                                                        │
       Started:      Wed, 12 Jan 2022 15:12:49 +0100                                                                                                                                                                                                │
     Last State:     Terminated                                                                                                                                                                                                                     │
       Reason:       OOMKilled                                                                                                                                                                                                                      │
       Exit Code:    137                                                                                                                                                                                                                            │
       Started:      Tue, 11 Jan 2022 17:14:41 +0100                                                                                                                                                                                                │
       Finished:     Wed, 12 Jan 2022 15:12:47 +0100                                                                                                                                                                                                │

So we see that the prometheus is in a running state waiting for the readiness probe to trigger, probably working on recovering from Write Ahead Log (WAL). This could be an issue where prometheus is recovering from an error, or a restart and does not have enough memory to write everything in the WAL. We could be running into an issue where we set the request/limits memory lower than the prometheus requires, and the kube scheduler keeps killing prometheus for wanting more memory.

For this case, we could give it more memory to work to see if it recovers. We should also analyze why the prometheus WAL is getting clogged up.

In essence, we want to check what has changed so that we suddenly have a high memory spike in our sweet, sweet environment.

The Source​

Cardinality

A lot of prometheus issues revolve around cardinality. Memory spikes that break your deployment? Cardinality. @@ -29,12 +29,12 @@ So, as you can see much of life's problems can be accredited to cardinality For example, if our metric http_request_total had a label response code, and let's say we support 8 status codes, our cardinality starts off at 8. For good measure we want to record the HTTP verb for the request. We support GET POST PUT HEAD which would put the cardinality to 4*8=32. Now, if someone adds a URL to the metric label (!!VERY BAD IDEA!!, but bare with me now) and we have 2 active pages, we'd have a cardinality of 2*4*8=64. -But, imagine someone starts scraping your website for potential vulnerabilities. Imagine all the URLs that will appear, most likely only once.

mywebsite.com/admin.php
mywebsite.com/wp/admin.php
mywebsite.com/?utm_source=GUID
...

This would blow up our cardinality to kingdom come. Like you will be out of memory faster than "a new super awesome Javascript gamechanger framework" is born. +But, imagine someone starts scraping your website for potential vulnerabilities. Imagine all the URLs that will appear, most likely only once.

mywebsite.com/admin.php
mywebsite.com/wp/admin.php
mywebsite.com/?utm_source=GUID
...

This would blow up our cardinality to kingdom come. Like you will be out of memory faster than "a new super awesome Javascript gamechanger framework" is born. Or to quote user naveen17797 Scientists predict the number of js frameworks may exceed human population by 2020,at that point of time random string generators will be used to name those frameworks.

The point to this story is, be very mindful of how you use labels and cardinality in prometheus, since that will indeed have great impact on your prometheus performance.

The Solution​

Since this has never happened to me (never-ever) I found the following solution to be handy. Since we can't get prometheus up and running to utilize PromQL to detect the potential issues, we have to find another way to detect high cardinality. -Therefore, we might want to get our hands dirty with some kubectl exec -it -n monitoring pods/prometheus-prometheus-kube-prometheus-prometheus-0 -- sh, and run the prometheus tsdb analysis too.

/prometheus $ promtool tsdb analyze .

Which produced the result.

> Block ID: 01FT8E8YY4THHZ2S7C3G04GJMG
> Duration: 1h59m59.997s
> Series: 564171
> Label names: 285
> Postings (unique label pairs): 21139
> Postings entries (total label pairs): 6423664
>
> ...
>
> Highest cardinality metric names:
> 11340 haproxy_server_http_responses_total
> ...

We see the potential issue here, where the haproxy_server_http_responses_total metric is having a super-high cardinality which is growing. +Therefore, we might want to get our hands dirty with some kubectl exec -it -n monitoring pods/prometheus-prometheus-kube-prometheus-prometheus-0 -- sh, and run the prometheus tsdb analysis too.

/prometheus $ promtool tsdb analyze .

Which produced the result.

> Block ID: 01FT8E8YY4THHZ2S7C3G04GJMG
> Duration: 1h59m59.997s
> Series: 564171
> Label names: 285
> Postings (unique label pairs): 21139
> Postings entries (total label pairs): 6423664
>
> ...
>
> Highest cardinality metric names:
> 11340 haproxy_server_http_responses_total
> ...

We see the potential issue here, where the haproxy_server_http_responses_total metric is having a super-high cardinality which is growing. We need to deal with it, so that our prometheus instance can breathe again. In this particular case, the solution was updating the haproxy.

... or burn it, up to you.

Flame Thrower

The Further Reading​

  1. WAL Definition
  2. WAL & Checkpoints
  3. Using TSDB
  4. Biggest Metrics
  5. Cardinality
- - + + \ No newline at end of file diff --git a/blog/tags/concurrency.html b/blog/tags/concurrency.html index 60f0b80..1c2e154 100644 --- a/blog/tags/concurrency.html +++ b/blog/tags/concurrency.html @@ -2,20 +2,20 @@ - + One post tagged with "concurrency" | foomo project docs - - - + + +
-

One post tagged with "concurrency"

View All Tags

Cristian Vidmar
Philipp Mieden

Go has extensive support for concurrency through goroutines and channels. This feature allows programs to progress on several tasks at the same time but it requires some extra care to prevent situations where multiple goroutines might collide and lead to a panic. These are known as race conditions and they happen when a shared variable is read and written at the same time by two different routines. A typical example is a concurrent read/write of a map in memory.

To illustrate an example let's consider gocontentful, the code generator that creates an API to access a Contentful CMS from go. The generated API uses an in-memory cache to store a copy of a Contentful space and some extra data structures to allow go programs to access Contentful data, inspect and resolve references and so on. In a typical scenario, the client is used in a service that responds to HTTP calls and makes heavy use of concurrency because it needs to be able, at the same time, to:

  • Read entries, assets and references from the cache
  • Update/Delete single entities and their connections with others (for example the map of parent entries)
  • Incrementally sync the content of the cache with data changes coming from Contentful
  • Rebuild the cache entirely and swap the existing one with a new copy

In addition, for performance reasons, when the cache is created or rebuilt the gocontentful client spawns up to four goroutines to download chunks of data in parallel across the Internet, dynamically selecting the size the sorting of the chunks to leverage the maximum parallelism.

Detecting race conditions through unit tests​

We experienced race conditions with the client in the past, and we fixed them to maintain it production-ready with every new version. To help with this, we included a testing framework in gocontentful that generates a sample API from a local export of a Contentful space and then runs several unit tests that, among others, test the client for concurrency safety:

make test

One of these unit tests spawns tens of thousands of goroutines to concurrently read, write and inspect the references of specific entries while at the same time keeps rebuilding the cache. From the screenshot above we see that no race condition is shown. Even at this concurrency level, though there's no guarantee that running

go test ./...

will be enough to generate a collision. What we really want to do is to add a new parameter to enable the go race detector with

go test -race ./...

(In gocontentful you can run make race to fire up both the API generation and the race test)

From the documentation at https://go.dev/blog/race-detector:

When the -race command-line flag is set, the compiler instruments all memory accesses with code that records when and how the memory was accessed, while the runtime library watches for unsynchronized accesses to shared variables. When such “racy” behavior is detected, a warning is printed.

Running this in gocontentful shows that we indeed have a potential collision condition:

Race condition

Note: After you run this test you'll want to search for "race" inside the terminal output. Make sure you enable a very long (if not infinite) scrollback or you might miss some hits.

The race detector reports the filenames and lines of code that generated the race condition. Looking at those lines in our example shows that a field of the cache (the "offline" boolean) is written protecting it with a proper mutex lock but the lock handling is missing around the read operation:

Read access

Write access

The fix is very simple but in this particular case the offline flag is read and then a 2 seconds delay is started. Deferring the unlock would keep the variable locked for far too long, so we will read-lock it only for the time needed to copy its value to a local variable:

Fix race condition

After fixing the issue in the generator templates and regenerating the code, the tests with the race detector run fine. In gocontentful this can be done all in one step with make race:

No race condition

Test coverage​

That was nice! But how do we know if we're covering all test cases? Go has been supporting test code coverage since 1.12 through the -cover option. We can also limit the coverage to a specific package. In our case, we're only interested in the testapi sub-package because we want to test the generated API, not the generator itself.

go test -cover -coverpkg=./test/testapi ./...

Let's try and run the tests with coverage:

Basic coverage

The summary shows we are only covering 22% of the code. The goal is not to cover 100%, some parts only work online calling the actual API of a real Contentful space, but we definitely have room for improvement.

The question is: how do we know exactly which lines of code we're covering through the test suite? Again, go test comes to the rescue through another option: -coverprofile lets us specify an output file that will contain references to each single line of code involved in the analysis. It is a text file, but not very readable:

github.com/foom...tapi/gocontentfulvolibproduct.go:21.86,22.15 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:25.2,25.18 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:28.2,29.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:32.2,33.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:36.2,37.37 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:40.2,40.24 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:22.15,24.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:25.18,27.3 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:29.16,31.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:33.16,35.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:37.37,39.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:43.114,44.35 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:47.2,48.18 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:51.2,53.16 3 0
github.com/foom...tapi/gocontentfulvolibproduct.go:56.2,57.16 2 0
...

We can use go tool to convert it to a much better representation in HTML:

go tool cover -html=cover.out -o cover.html

Opening this file in a browser reveals a lot of useful information:

Coverage HTML

At the top left of the page there's a menu where we can select from all the files analyzed, listed along with the percentage of coverage for each one. Inside every file the lines covered by the tests are green while the red ones are not covered. In the example above we can see that the getAllAssets function is covered but it includes an else condition that is never met.

In gocontentful (starting from 1.0.18) we can generate the test API, run the tests with coverage, convert the output file and open it in the browser with a single command:

make cover

As stated above, not necessarily 100% of the code needs to be covered by the tests, but this view in combination with the race detector gives us incredibly useful information to make the code more solid.

- - +

One post tagged with "concurrency"

View All Tags

Cristian Vidmar
Philipp Mieden

Go has extensive support for concurrency through goroutines and channels. This feature allows programs to progress on several tasks at the same time but it requires some extra care to prevent situations where multiple goroutines might collide and lead to a panic. These are known as race conditions and they happen when a shared variable is read and written at the same time by two different routines. A typical example is a concurrent read/write of a map in memory.

To illustrate an example let's consider gocontentful, the code generator that creates an API to access a Contentful CMS from go. The generated API uses an in-memory cache to store a copy of a Contentful space and some extra data structures to allow go programs to access Contentful data, inspect and resolve references and so on. In a typical scenario, the client is used in a service that responds to HTTP calls and makes heavy use of concurrency because it needs to be able, at the same time, to:

  • Read entries, assets and references from the cache
  • Update/Delete single entities and their connections with others (for example the map of parent entries)
  • Incrementally sync the content of the cache with data changes coming from Contentful
  • Rebuild the cache entirely and swap the existing one with a new copy

In addition, for performance reasons, when the cache is created or rebuilt the gocontentful client spawns up to four goroutines to download chunks of data in parallel across the Internet, dynamically selecting the size the sorting of the chunks to leverage the maximum parallelism.

Detecting race conditions through unit tests​

We experienced race conditions with the client in the past, and we fixed them to maintain it production-ready with every new version. To help with this, we included a testing framework in gocontentful that generates a sample API from a local export of a Contentful space and then runs several unit tests that, among others, test the client for concurrency safety:

make test

One of these unit tests spawns tens of thousands of goroutines to concurrently read, write and inspect the references of specific entries while at the same time keeps rebuilding the cache. From the screenshot above we see that no race condition is shown. Even at this concurrency level, though there's no guarantee that running

go test ./...

will be enough to generate a collision. What we really want to do is to add a new parameter to enable the go race detector with

go test -race ./...

(In gocontentful you can run make race to fire up both the API generation and the race test)

From the documentation at https://go.dev/blog/race-detector:

When the -race command-line flag is set, the compiler instruments all memory accesses with code that records when and how the memory was accessed, while the runtime library watches for unsynchronized accesses to shared variables. When such “racy” behavior is detected, a warning is printed.

Running this in gocontentful shows that we indeed have a potential collision condition:

Race condition

Note: After you run this test you'll want to search for "race" inside the terminal output. Make sure you enable a very long (if not infinite) scrollback or you might miss some hits.

The race detector reports the filenames and lines of code that generated the race condition. Looking at those lines in our example shows that a field of the cache (the "offline" boolean) is written protecting it with a proper mutex lock but the lock handling is missing around the read operation:

Read access

Write access

The fix is very simple but in this particular case the offline flag is read and then a 2 seconds delay is started. Deferring the unlock would keep the variable locked for far too long, so we will read-lock it only for the time needed to copy its value to a local variable:

Fix race condition

After fixing the issue in the generator templates and regenerating the code, the tests with the race detector run fine. In gocontentful this can be done all in one step with make race:

No race condition

Test coverage​

That was nice! But how do we know if we're covering all test cases? Go has been supporting test code coverage since 1.12 through the -cover option. We can also limit the coverage to a specific package. In our case, we're only interested in the testapi sub-package because we want to test the generated API, not the generator itself.

go test -cover -coverpkg=./test/testapi ./...

Let's try and run the tests with coverage:

Basic coverage

The summary shows we are only covering 22% of the code. The goal is not to cover 100%, some parts only work online calling the actual API of a real Contentful space, but we definitely have room for improvement.

The question is: how do we know exactly which lines of code we're covering through the test suite? Again, go test comes to the rescue through another option: -coverprofile lets us specify an output file that will contain references to each single line of code involved in the analysis. It is a text file, but not very readable:

github.com/foom...tapi/gocontentfulvolibproduct.go:21.86,22.15 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:25.2,25.18 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:28.2,29.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:32.2,33.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:36.2,37.37 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:40.2,40.24 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:22.15,24.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:25.18,27.3 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:29.16,31.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:33.16,35.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:37.37,39.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:43.114,44.35 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:47.2,48.18 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:51.2,53.16 3 0
github.com/foom...tapi/gocontentfulvolibproduct.go:56.2,57.16 2 0
...

We can use go tool to convert it to a much better representation in HTML:

go tool cover -html=cover.out -o cover.html

Opening this file in a browser reveals a lot of useful information:

Coverage HTML

At the top left of the page there's a menu where we can select from all the files analyzed, listed along with the percentage of coverage for each one. Inside every file the lines covered by the tests are green while the red ones are not covered. In the example above we can see that the getAllAssets function is covered but it includes an else condition that is never met.

In gocontentful (starting from 1.0.18) we can generate the test API, run the tests with coverage, convert the output file and open it in the browser with a single command:

make cover

As stated above, not necessarily 100% of the code needs to be covered by the tests, but this view in combination with the race detector gives us incredibly useful information to make the code more solid.

+ + \ No newline at end of file diff --git a/blog/tags/currency.html b/blog/tags/currency.html index c35dfec..1045569 100644 --- a/blog/tags/currency.html +++ b/blog/tags/currency.html @@ -2,22 +2,22 @@ - + One post tagged with "currency" | foomo project docs - - - + + +
-

One post tagged with "currency"

View All Tags

Patrick Buchner
Boštjan Marušič

Intro​

Calculating with money can be tricky if not taken proper precautions. Some might be tempted to use float representation for calculating with currency values. That is problematic because of possible rounding errors.

Finite accuracy of representation​

Floating points are represented like this

Floating point representation

Not every number can be represented with a finite number of decimal places

0.01 —> 0.0000011001100110011…

Taking 17 places of the above results in 0.010000000000000001

Consider the following code snipet that shows the missing accuracy

func main() {

  var n float64 = 0

  for i := 0; i < 1000; i++ {
    n += .01
  }

  fmt.Println(n)

}

Result: 9.999999999999831

Money computations​

They can't be done with floating-point as it would inevitably lead to rounding errors.

Even the following packages are problematic:

github.com/shopspring/decimal

github.com/Rhymond/go-money

a := decimal.NewFromInt(2)
b := decimal.NewFromFloat(300.99)
c := a.Mul(b)
d := c.Div(decimal.NewFromInt(3))

Solution​

Use Int by representing money in cents:

  • 10.99 -> 1099 (cents)
  • 10.9900 -> 109900 (4 digit tax)

Conclusion​

Division is a problem!

1/3 - > 0.33333333… +

One post tagged with "currency"

View All Tags

Patrick Buchner
Boštjan Marušič

Intro​

Calculating with money can be tricky if not taken proper precautions. Some might be tempted to use float representation for calculating with currency values. That is problematic because of possible rounding errors.

Finite accuracy of representation​

Floating points are represented like this

Floating point representation

Not every number can be represented with a finite number of decimal places

0.01 —> 0.0000011001100110011…

Taking 17 places of the above results in 0.010000000000000001

Consider the following code snipet that shows the missing accuracy

func main() {

  var n float64 = 0

  for i := 0; i < 1000; i++ {
    n += .01
  }

  fmt.Println(n)

}

Result: 9.999999999999831

Money computations​

They can't be done with floating-point as it would inevitably lead to rounding errors.

Even the following packages are problematic:

github.com/shopspring/decimal

github.com/Rhymond/go-money

a := decimal.NewFromInt(2)
b := decimal.NewFromFloat(300.99)
c := a.Mul(b)
d := c.Div(decimal.NewFromInt(3))

Solution​

Use Int by representing money in cents:

  • 10.99 -> 1099 (cents)
  • 10.9900 -> 109900 (4 digit tax)

Conclusion​

Division is a problem!

1/3 - > 0.33333333… Correct way: 0.33, 0.33, 0.34

When doing money calculations one should avoid division as it inevitably leads to loss of accuracy. When dividing make sure to round to cent and deal with diffs.

Division by 10^k is ok as long as we are inside of the range of the data type.

- - + + \ No newline at end of file diff --git a/blog/tags/debugging.html b/blog/tags/debugging.html index 241bc57..02fb87c 100644 --- a/blog/tags/debugging.html +++ b/blog/tags/debugging.html @@ -2,20 +2,20 @@ - + One post tagged with "debugging" | foomo project docs - - - + + +
-
- - +

One post tagged with "debugging"

View All Tags
+ + \ No newline at end of file diff --git a/blog/tags/decimal-accuracy.html b/blog/tags/decimal-accuracy.html index 3bc4684..481d745 100644 --- a/blog/tags/decimal-accuracy.html +++ b/blog/tags/decimal-accuracy.html @@ -2,22 +2,22 @@ - + One post tagged with "decimal accuracy" | foomo project docs - - - + + +
-

One post tagged with "decimal accuracy"

View All Tags

Patrick Buchner
Boštjan Marušič

Intro​

Calculating with money can be tricky if not taken proper precautions. Some might be tempted to use float representation for calculating with currency values. That is problematic because of possible rounding errors.

Finite accuracy of representation​

Floating points are represented like this

Floating point representation

Not every number can be represented with a finite number of decimal places

0.01 —> 0.0000011001100110011…

Taking 17 places of the above results in 0.010000000000000001

Consider the following code snipet that shows the missing accuracy

func main() {

  var n float64 = 0

  for i := 0; i < 1000; i++ {
    n += .01
  }

  fmt.Println(n)

}

Result: 9.999999999999831

Money computations​

They can't be done with floating-point as it would inevitably lead to rounding errors.

Even the following packages are problematic:

github.com/shopspring/decimal

github.com/Rhymond/go-money

a := decimal.NewFromInt(2)
b := decimal.NewFromFloat(300.99)
c := a.Mul(b)
d := c.Div(decimal.NewFromInt(3))

Solution​

Use Int by representing money in cents:

  • 10.99 -> 1099 (cents)
  • 10.9900 -> 109900 (4 digit tax)

Conclusion​

Division is a problem!

1/3 - > 0.33333333… +

One post tagged with "decimal accuracy"

View All Tags

Patrick Buchner
Boštjan Marušič

Intro​

Calculating with money can be tricky if not taken proper precautions. Some might be tempted to use float representation for calculating with currency values. That is problematic because of possible rounding errors.

Finite accuracy of representation​

Floating points are represented like this

Floating point representation

Not every number can be represented with a finite number of decimal places

0.01 —> 0.0000011001100110011…

Taking 17 places of the above results in 0.010000000000000001

Consider the following code snipet that shows the missing accuracy

func main() {

  var n float64 = 0

  for i := 0; i < 1000; i++ {
    n += .01
  }

  fmt.Println(n)

}

Result: 9.999999999999831

Money computations​

They can't be done with floating-point as it would inevitably lead to rounding errors.

Even the following packages are problematic:

github.com/shopspring/decimal

github.com/Rhymond/go-money

a := decimal.NewFromInt(2)
b := decimal.NewFromFloat(300.99)
c := a.Mul(b)
d := c.Div(decimal.NewFromInt(3))

Solution​

Use Int by representing money in cents:

  • 10.99 -> 1099 (cents)
  • 10.9900 -> 109900 (4 digit tax)

Conclusion​

Division is a problem!

1/3 - > 0.33333333… Correct way: 0.33, 0.33, 0.34

When doing money calculations one should avoid division as it inevitably leads to loss of accuracy. When dividing make sure to round to cent and deal with diffs.

Division by 10^k is ok as long as we are inside of the range of the data type.

- - + + \ No newline at end of file diff --git a/blog/tags/devops.html b/blog/tags/devops.html index 0f17e58..e5dbe20 100644 --- a/blog/tags/devops.html +++ b/blog/tags/devops.html @@ -2,24 +2,24 @@ - + One post tagged with "devops" | foomo project docs - - - + + +
-

One post tagged with "devops"

View All Tags

Stefan Martinov

The Annoyance​

So, we've all been there. You go to your trusty grafana, search for some sweet metrics that you implemented and WHAM! +

One post tagged with "devops"

View All Tags

Stefan Martinov

The Annoyance​

So, we've all been there. You go to your trusty grafana, search for some sweet metrics that you implemented and WHAM! Prometheus returns us a 503, a trusty way of saying I'm not ready, and I'm probably going to die soon. And since we're running in kubernetes I'm going to die soon, again and again. And you're getting reports from your colleagues that prometheus is not responding. -And you can't ignore them anymore.

Bummer.

The Problem​

All right, lets check what's happening to the little guy.

kubectl get pods -n monitoring

prometheus-prometheus-kube-prometheus-prometheus-0       1/2     Running   4          5m

It seems like it's stuck in the running state, where the container is not yet ready. -Let's describe the deployment, to check out what's happening.

     State:          Running                                                                                                                                                                                                                        │
       Started:      Wed, 12 Jan 2022 15:12:49 +0100                                                                                                                                                                                                │
     Last State:     Terminated                                                                                                                                                                                                                     │
       Reason:       OOMKilled                                                                                                                                                                                                                      │
       Exit Code:    137                                                                                                                                                                                                                            │
       Started:      Tue, 11 Jan 2022 17:14:41 +0100                                                                                                                                                                                                │
       Finished:     Wed, 12 Jan 2022 15:12:47 +0100                                                                                                                                                                                                │

So we see that the prometheus is in a running state waiting for the readiness probe to trigger, probably working on recovering from Write Ahead Log (WAL). +And you can't ignore them anymore.

Bummer.

The Problem​

All right, lets check what's happening to the little guy.

kubectl get pods -n monitoring

prometheus-prometheus-kube-prometheus-prometheus-0       1/2     Running   4          5m

It seems like it's stuck in the running state, where the container is not yet ready. +Let's describe the deployment, to check out what's happening.

     State:          Running                                                                                                                                                                                                                        │
       Started:      Wed, 12 Jan 2022 15:12:49 +0100                                                                                                                                                                                                │
     Last State:     Terminated                                                                                                                                                                                                                     │
       Reason:       OOMKilled                                                                                                                                                                                                                      │
       Exit Code:    137                                                                                                                                                                                                                            │
       Started:      Tue, 11 Jan 2022 17:14:41 +0100                                                                                                                                                                                                │
       Finished:     Wed, 12 Jan 2022 15:12:47 +0100                                                                                                                                                                                                │

So we see that the prometheus is in a running state waiting for the readiness probe to trigger, probably working on recovering from Write Ahead Log (WAL). This could be an issue where prometheus is recovering from an error, or a restart and does not have enough memory to write everything in the WAL. We could be running into an issue where we set the request/limits memory lower than the prometheus requires, and the kube scheduler keeps killing prometheus for wanting more memory.

For this case, we could give it more memory to work to see if it recovers. We should also analyze why the prometheus WAL is getting clogged up.

In essence, we want to check what has changed so that we suddenly have a high memory spike in our sweet, sweet environment.

The Source​

Cardinality

A lot of prometheus issues revolve around cardinality. Memory spikes that break your deployment? Cardinality. @@ -29,12 +29,12 @@ So, as you can see much of life's problems can be accredited to cardinality For example, if our metric http_request_total had a label response code, and let's say we support 8 status codes, our cardinality starts off at 8. For good measure we want to record the HTTP verb for the request. We support GET POST PUT HEAD which would put the cardinality to 4*8=32. Now, if someone adds a URL to the metric label (!!VERY BAD IDEA!!, but bare with me now) and we have 2 active pages, we'd have a cardinality of 2*4*8=64. -But, imagine someone starts scraping your website for potential vulnerabilities. Imagine all the URLs that will appear, most likely only once.

mywebsite.com/admin.php
mywebsite.com/wp/admin.php
mywebsite.com/?utm_source=GUID
...

This would blow up our cardinality to kingdom come. Like you will be out of memory faster than "a new super awesome Javascript gamechanger framework" is born. +But, imagine someone starts scraping your website for potential vulnerabilities. Imagine all the URLs that will appear, most likely only once.

mywebsite.com/admin.php
mywebsite.com/wp/admin.php
mywebsite.com/?utm_source=GUID
...

This would blow up our cardinality to kingdom come. Like you will be out of memory faster than "a new super awesome Javascript gamechanger framework" is born. Or to quote user naveen17797 Scientists predict the number of js frameworks may exceed human population by 2020,at that point of time random string generators will be used to name those frameworks.

The point to this story is, be very mindful of how you use labels and cardinality in prometheus, since that will indeed have great impact on your prometheus performance.

The Solution​

Since this has never happened to me (never-ever) I found the following solution to be handy. Since we can't get prometheus up and running to utilize PromQL to detect the potential issues, we have to find another way to detect high cardinality. -Therefore, we might want to get our hands dirty with some kubectl exec -it -n monitoring pods/prometheus-prometheus-kube-prometheus-prometheus-0 -- sh, and run the prometheus tsdb analysis too.

/prometheus $ promtool tsdb analyze .

Which produced the result.

> Block ID: 01FT8E8YY4THHZ2S7C3G04GJMG
> Duration: 1h59m59.997s
> Series: 564171
> Label names: 285
> Postings (unique label pairs): 21139
> Postings entries (total label pairs): 6423664
>
> ...
>
> Highest cardinality metric names:
> 11340 haproxy_server_http_responses_total
> ...

We see the potential issue here, where the haproxy_server_http_responses_total metric is having a super-high cardinality which is growing. +Therefore, we might want to get our hands dirty with some kubectl exec -it -n monitoring pods/prometheus-prometheus-kube-prometheus-prometheus-0 -- sh, and run the prometheus tsdb analysis too.

/prometheus $ promtool tsdb analyze .

Which produced the result.

> Block ID: 01FT8E8YY4THHZ2S7C3G04GJMG
> Duration: 1h59m59.997s
> Series: 564171
> Label names: 285
> Postings (unique label pairs): 21139
> Postings entries (total label pairs): 6423664
>
> ...
>
> Highest cardinality metric names:
> 11340 haproxy_server_http_responses_total
> ...

We see the potential issue here, where the haproxy_server_http_responses_total metric is having a super-high cardinality which is growing. We need to deal with it, so that our prometheus instance can breathe again. In this particular case, the solution was updating the haproxy.

... or burn it, up to you.

Flame Thrower

The Further Reading​

  1. WAL Definition
  2. WAL & Checkpoints
  3. Using TSDB
  4. Biggest Metrics
  5. Cardinality
- - + + \ No newline at end of file diff --git a/blog/tags/foomo.html b/blog/tags/foomo.html index 6f1c987..6bd1409 100644 --- a/blog/tags/foomo.html +++ b/blog/tags/foomo.html @@ -2,20 +2,20 @@ - + One post tagged with "foomo" | foomo project docs - - - + + +
-

One post tagged with "foomo"

View All Tags

Jan Halfar

A few years ago we abandoned the previous version of https://www.foomo.org as we did not want to maintain the old wordpress installation and the project was only living in README.md in the repos living under https://www.github.com/foomo .

As things have grown over time we have decided to re-launch a website / cross project documentation.

So welcome back and enjoy the view to the past:

blast from the past

- - +

One post tagged with "foomo"

View All Tags

Jan Halfar

A few years ago we abandoned the previous version of https://www.foomo.org as we did not want to maintain the old wordpress installation and the project was only living in README.md in the repos living under https://www.github.com/foomo .

As things have grown over time we have decided to re-launch a website / cross project documentation.

So welcome back and enjoy the view to the past:

blast from the past

+ + \ No newline at end of file diff --git a/blog/tags/frontend.html b/blog/tags/frontend.html index 43bb72b..0d01e33 100644 --- a/blog/tags/frontend.html +++ b/blog/tags/frontend.html @@ -2,21 +2,21 @@ - + One post tagged with "frontend" | foomo project docs - - - + + +
-

One post tagged with "frontend"

View All Tags

Marko Trebižan

Issue with performance​

When building an ecommerce site or an application where performance is a great deal for the users, you need to keep your application fast and responsive. Frontend developers have already many use-cases when the UI becomes laggy and this increases when 3rd party scripts are being included, such as Google Tag Manager or various Live chats (e.g. Intercom).

This does not only influences the users when using the site but also Lighthouse score gets lower which also influences page rankings. So the most naive and easy way for this is to defer loading of such scripts but when you need to get all the data from the start of the application, such tactic is not an option. So what else can we do?

Partytown to the rescue​

Developers at BuilderIO created an library Partytown that would allow relocating resources from 3rd party scripts off the main thread. -We won't dive into specifics how it works, because they explain it nicely on their GitHub page.

In our stack we use Next.js React framework and we will go through the basic steps that will allow us to include Partytown for Google Tag Manager.

Setup​

Partytown script needs to be located inside our application and live on the same domain. Since we're using monorepo structure, we need to copy this script across all our frontend application. For that we used CopyPlugin webpack plugin in our Next.js config file:

config.plugins.push(
      ...
      new CopyPlugin({
        patterns: [
          {
            // we copy script from node_modules partytown package to `~partytown` folder in our package that serves static files
            from: path.join(path.dirname(require.resolve('@builder.io/partytown')), 'lib'),
            // paths for SSR and client side rendering differ
            to: path.join(`${isServer ? '..' : '.'}/static/assets/`, '~partytown'),
          },
        ],
      })
    );

Partytown's requirement is that it needs to know what script should it load into own web worker. For that we set script type to text/partytown. This will prevent script to load on initial load.

Inside _document.tsx we add this:

<Head>
    ...
    // include Partytown and set custom path due to multiple frontends
    <Partytown lib={`${addTrailingSlash(this.props.basePath)}_next/static/assets/~partytown/`} debug={false} />
    // tag 3rd party script with partytown type
    <script type="text/partytown" src={`https://www.googletagmanager.com/gtm.js?id=${id}`} />
    ...
</Head>

Results​

So now, does it work? We used one of our large Ecommerce sites to test the landing Lighthouse score.

This was before adding Partytown:

Lighthouse before Partytown

Here you can see 2 critical things: almost 1s of total blocking time (TBT) and 9s of time to interactive (TTI).

After we added Partytown, we got this:

Lighthouse after Partytown

Time to interactive went from 9s to 6.1s which is almost 33% improvement and total blocking time was reduce by more than 50%! We were more than impressed how easy it was to improve our performances.

Side note: Both screenshots were compressed using Squoosh App.

Next steps

After successful testing of Partytown for Google Tag Manager script, we are more than interested in trying it out on our other scripts. One important topic will be to test Partytown with other service-worker related libraries and how to use them together.

- - +

One post tagged with "frontend"

View All Tags

Marko Trebižan

Issue with performance​

When building an ecommerce site or an application where performance is a great deal for the users, you need to keep your application fast and responsive. Frontend developers have already many use-cases when the UI becomes laggy and this increases when 3rd party scripts are being included, such as Google Tag Manager or various Live chats (e.g. Intercom).

This does not only influences the users when using the site but also Lighthouse score gets lower which also influences page rankings. So the most naive and easy way for this is to defer loading of such scripts but when you need to get all the data from the start of the application, such tactic is not an option. So what else can we do?

Partytown to the rescue​

Developers at BuilderIO created an library Partytown that would allow relocating resources from 3rd party scripts off the main thread. +We won't dive into specifics how it works, because they explain it nicely on their GitHub page.

In our stack we use Next.js React framework and we will go through the basic steps that will allow us to include Partytown for Google Tag Manager.

Setup​

Partytown script needs to be located inside our application and live on the same domain. Since we're using monorepo structure, we need to copy this script across all our frontend application. For that we used CopyPlugin webpack plugin in our Next.js config file:

config.plugins.push(
      ...
      new CopyPlugin({
        patterns: [
          {
            // we copy script from node_modules partytown package to `~partytown` folder in our package that serves static files
            from: path.join(path.dirname(require.resolve('@builder.io/partytown')), 'lib'),
            // paths for SSR and client side rendering differ
            to: path.join(`${isServer ? '..' : '.'}/static/assets/`, '~partytown'),
          },
        ],
      })
    );

Partytown's requirement is that it needs to know what script should it load into own web worker. For that we set script type to text/partytown. This will prevent script to load on initial load.

Inside _document.tsx we add this:

<Head>
    ...
    // include Partytown and set custom path due to multiple frontends
    <Partytown lib={`${addTrailingSlash(this.props.basePath)}_next/static/assets/~partytown/`} debug={false} />
    // tag 3rd party script with partytown type
    <script type="text/partytown" src={`https://www.googletagmanager.com/gtm.js?id=${id}`} />
    ...
</Head>

Results​

So now, does it work? We used one of our large Ecommerce sites to test the landing Lighthouse score.

This was before adding Partytown:

Lighthouse before Partytown

Here you can see 2 critical things: almost 1s of total blocking time (TBT) and 9s of time to interactive (TTI).

After we added Partytown, we got this:

Lighthouse after Partytown

Time to interactive went from 9s to 6.1s which is almost 33% improvement and total blocking time was reduce by more than 50%! We were more than impressed how easy it was to improve our performances.

Side note: Both screenshots were compressed using Squoosh App.

Next steps

After successful testing of Partytown for Google Tag Manager script, we are more than interested in trying it out on our other scripts. One important topic will be to test Partytown with other service-worker related libraries and how to use them together.

+ + \ No newline at end of file diff --git a/blog/tags/go.html b/blog/tags/go.html index f1231cf..6e2b7b7 100644 --- a/blog/tags/go.html +++ b/blog/tags/go.html @@ -2,22 +2,22 @@ - + 2 posts tagged with "go" | foomo project docs - - - + + +
-

2 posts tagged with "go"

View All Tags

Jan Halfar

While building this website and integrating https://docsearch.algolia.com and evaluating another solution by a large company in parallel I could not help to search github and the web for the current state of search engines and search related services.

Since I had done the same thing about a year ago, I was surprised to see how quickly things are moving atm.

Algolia​

I was blown away by the quality of https://www.algolia.com and I wish it was open source, but I guess, we all have to make a living ;)

To see how awesome a web (search) interface can be check out https://www.lacoste.com/us/#query=red%20jackets%20for%20men

Apart from that the UI/UX of their backend tools is fantastic.

Elastic​

When it comes to https://www.elastic.com I am a bit nervous about the future of the licensing, despite the fact, that I understand their motivation. At the same time the https://opensearch.org does not seem to be an ampty threat.

typesense.org​

I do not know, who was hiding under a rock, but I had not seen https://typesense.org before and they certainly have a bold claim: "The Open Source Algolia Alternative" / "The Easier To Use ElasticSearch Alternative"

When looking at https://github.com/typesense/typesense/graphs/contributors it seems, that Kishore Nallan has been working on this for a while. Unfourtunately I do not really see a lot of external contributions, C++ does not seem to attract a lot of contribution.

MeiliSearch​

This Rust project https://www.meilisearch.com/ seems to be picking up speed and is definetly on the test short list. It is a fresh codebase with siginficant open source contributions and certainly will attract new developers with Rust and a modern architecture.

Go eco system​

Obviously we are very interested in Go powered software and there are a few notable projects. ATM I do not see anything elastic or algolia like, that would be really mature.

bleve / bluge​

Marty Schoch seems to be the man when it comes down to text indexing libraries in written in Go and bluge seems to be THE library, that is solid and modern, when implementing text search in your Go application.

https://github.com/blevesearch/bleve +

2 posts tagged with "go"

View All Tags

Jan Halfar

While building this website and integrating https://docsearch.algolia.com and evaluating another solution by a large company in parallel I could not help to search github and the web for the current state of search engines and search related services.

Since I had done the same thing about a year ago, I was surprised to see how quickly things are moving atm.

Algolia​

I was blown away by the quality of https://www.algolia.com and I wish it was open source, but I guess, we all have to make a living ;)

To see how awesome a web (search) interface can be check out https://www.lacoste.com/us/#query=red%20jackets%20for%20men

Apart from that the UI/UX of their backend tools is fantastic.

Elastic​

When it comes to https://www.elastic.com I am a bit nervous about the future of the licensing, despite the fact, that I understand their motivation. At the same time the https://opensearch.org does not seem to be an ampty threat.

typesense.org​

I do not know, who was hiding under a rock, but I had not seen https://typesense.org before and they certainly have a bold claim: "The Open Source Algolia Alternative" / "The Easier To Use ElasticSearch Alternative"

When looking at https://github.com/typesense/typesense/graphs/contributors it seems, that Kishore Nallan has been working on this for a while. Unfourtunately I do not really see a lot of external contributions, C++ does not seem to attract a lot of contribution.

MeiliSearch​

This Rust project https://www.meilisearch.com/ seems to be picking up speed and is definetly on the test short list. It is a fresh codebase with siginficant open source contributions and certainly will attract new developers with Rust and a modern architecture.

Go eco system​

Obviously we are very interested in Go powered software and there are a few notable projects. ATM I do not see anything elastic or algolia like, that would be really mature.

bleve / bluge​

Marty Schoch seems to be the man when it comes down to text indexing libraries in written in Go and bluge seems to be THE library, that is solid and modern, when implementing text search in your Go application.

https://github.com/blevesearch/bleve https://github.com/blugelabs/bluge // next iteration of bleve

projects using bluge​

All bleeding edge afaik atm - but definitely good places to look at bluge usage

https://github.com/prabhatsharma/zinc https://github.com/mosuka/phalanx

Look ma I made a vector database​

Gotta take a look at this one - will report later

https://github.com/semi-technologies/weaviate

- - + + \ No newline at end of file diff --git a/blog/tags/golang.html b/blog/tags/golang.html index a55c6df..981fa6b 100644 --- a/blog/tags/golang.html +++ b/blog/tags/golang.html @@ -2,22 +2,22 @@ - + 2 posts tagged with "golang" | foomo project docs - - - + + +
-

2 posts tagged with "golang"

View All Tags

Cristian Vidmar
Philipp Mieden

Go has extensive support for concurrency through goroutines and channels. This feature allows programs to progress on several tasks at the same time but it requires some extra care to prevent situations where multiple goroutines might collide and lead to a panic. These are known as race conditions and they happen when a shared variable is read and written at the same time by two different routines. A typical example is a concurrent read/write of a map in memory.

To illustrate an example let's consider gocontentful, the code generator that creates an API to access a Contentful CMS from go. The generated API uses an in-memory cache to store a copy of a Contentful space and some extra data structures to allow go programs to access Contentful data, inspect and resolve references and so on. In a typical scenario, the client is used in a service that responds to HTTP calls and makes heavy use of concurrency because it needs to be able, at the same time, to:

  • Read entries, assets and references from the cache
  • Update/Delete single entities and their connections with others (for example the map of parent entries)
  • Incrementally sync the content of the cache with data changes coming from Contentful
  • Rebuild the cache entirely and swap the existing one with a new copy

In addition, for performance reasons, when the cache is created or rebuilt the gocontentful client spawns up to four goroutines to download chunks of data in parallel across the Internet, dynamically selecting the size the sorting of the chunks to leverage the maximum parallelism.

Detecting race conditions through unit tests​

We experienced race conditions with the client in the past, and we fixed them to maintain it production-ready with every new version. To help with this, we included a testing framework in gocontentful that generates a sample API from a local export of a Contentful space and then runs several unit tests that, among others, test the client for concurrency safety:

make test

One of these unit tests spawns tens of thousands of goroutines to concurrently read, write and inspect the references of specific entries while at the same time keeps rebuilding the cache. From the screenshot above we see that no race condition is shown. Even at this concurrency level, though there's no guarantee that running

go test ./...

will be enough to generate a collision. What we really want to do is to add a new parameter to enable the go race detector with

go test -race ./...

(In gocontentful you can run make race to fire up both the API generation and the race test)

From the documentation at https://go.dev/blog/race-detector:

When the -race command-line flag is set, the compiler instruments all memory accesses with code that records when and how the memory was accessed, while the runtime library watches for unsynchronized accesses to shared variables. When such “racy” behavior is detected, a warning is printed.

Running this in gocontentful shows that we indeed have a potential collision condition:

Race condition

Note: After you run this test you'll want to search for "race" inside the terminal output. Make sure you enable a very long (if not infinite) scrollback or you might miss some hits.

The race detector reports the filenames and lines of code that generated the race condition. Looking at those lines in our example shows that a field of the cache (the "offline" boolean) is written protecting it with a proper mutex lock but the lock handling is missing around the read operation:

Read access

Write access

The fix is very simple but in this particular case the offline flag is read and then a 2 seconds delay is started. Deferring the unlock would keep the variable locked for far too long, so we will read-lock it only for the time needed to copy its value to a local variable:

Fix race condition

After fixing the issue in the generator templates and regenerating the code, the tests with the race detector run fine. In gocontentful this can be done all in one step with make race:

No race condition

Test coverage​

That was nice! But how do we know if we're covering all test cases? Go has been supporting test code coverage since 1.12 through the -cover option. We can also limit the coverage to a specific package. In our case, we're only interested in the testapi sub-package because we want to test the generated API, not the generator itself.

go test -cover -coverpkg=./test/testapi ./...

Let's try and run the tests with coverage:

Basic coverage

The summary shows we are only covering 22% of the code. The goal is not to cover 100%, some parts only work online calling the actual API of a real Contentful space, but we definitely have room for improvement.

The question is: how do we know exactly which lines of code we're covering through the test suite? Again, go test comes to the rescue through another option: -coverprofile lets us specify an output file that will contain references to each single line of code involved in the analysis. It is a text file, but not very readable:

github.com/foom...tapi/gocontentfulvolibproduct.go:21.86,22.15 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:25.2,25.18 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:28.2,29.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:32.2,33.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:36.2,37.37 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:40.2,40.24 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:22.15,24.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:25.18,27.3 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:29.16,31.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:33.16,35.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:37.37,39.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:43.114,44.35 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:47.2,48.18 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:51.2,53.16 3 0
github.com/foom...tapi/gocontentfulvolibproduct.go:56.2,57.16 2 0
...

We can use go tool to convert it to a much better representation in HTML:

go tool cover -html=cover.out -o cover.html

Opening this file in a browser reveals a lot of useful information:

Coverage HTML

At the top left of the page there's a menu where we can select from all the files analyzed, listed along with the percentage of coverage for each one. Inside every file the lines covered by the tests are green while the red ones are not covered. In the example above we can see that the getAllAssets function is covered but it includes an else condition that is never met.

In gocontentful (starting from 1.0.18) we can generate the test API, run the tests with coverage, convert the output file and open it in the browser with a single command:

make cover

As stated above, not necessarily 100% of the code needs to be covered by the tests, but this view in combination with the race detector gives us incredibly useful information to make the code more solid.

Patrick Buchner
Boštjan Marušič

Intro​

Calculating with money can be tricky if not taken proper precautions. Some might be tempted to use float representation for calculating with currency values. That is problematic because of possible rounding errors.

Finite accuracy of representation​

Floating points are represented like this

Floating point representation

Not every number can be represented with a finite number of decimal places

0.01 —> 0.0000011001100110011…

Taking 17 places of the above results in 0.010000000000000001

Consider the following code snipet that shows the missing accuracy

func main() {

  var n float64 = 0

  for i := 0; i < 1000; i++ {
    n += .01
  }

  fmt.Println(n)

}

Result: 9.999999999999831

Money computations​

They can't be done with floating-point as it would inevitably lead to rounding errors.

Even the following packages are problematic:

github.com/shopspring/decimal

github.com/Rhymond/go-money

a := decimal.NewFromInt(2)
b := decimal.NewFromFloat(300.99)
c := a.Mul(b)
d := c.Div(decimal.NewFromInt(3))

Solution​

Use Int by representing money in cents:

  • 10.99 -> 1099 (cents)
  • 10.9900 -> 109900 (4 digit tax)

Conclusion​

Division is a problem!

1/3 - > 0.33333333… +

2 posts tagged with "golang"

View All Tags

Cristian Vidmar
Philipp Mieden

Go has extensive support for concurrency through goroutines and channels. This feature allows programs to progress on several tasks at the same time but it requires some extra care to prevent situations where multiple goroutines might collide and lead to a panic. These are known as race conditions and they happen when a shared variable is read and written at the same time by two different routines. A typical example is a concurrent read/write of a map in memory.

To illustrate an example let's consider gocontentful, the code generator that creates an API to access a Contentful CMS from go. The generated API uses an in-memory cache to store a copy of a Contentful space and some extra data structures to allow go programs to access Contentful data, inspect and resolve references and so on. In a typical scenario, the client is used in a service that responds to HTTP calls and makes heavy use of concurrency because it needs to be able, at the same time, to:

  • Read entries, assets and references from the cache
  • Update/Delete single entities and their connections with others (for example the map of parent entries)
  • Incrementally sync the content of the cache with data changes coming from Contentful
  • Rebuild the cache entirely and swap the existing one with a new copy

In addition, for performance reasons, when the cache is created or rebuilt the gocontentful client spawns up to four goroutines to download chunks of data in parallel across the Internet, dynamically selecting the size the sorting of the chunks to leverage the maximum parallelism.

Detecting race conditions through unit tests​

We experienced race conditions with the client in the past, and we fixed them to maintain it production-ready with every new version. To help with this, we included a testing framework in gocontentful that generates a sample API from a local export of a Contentful space and then runs several unit tests that, among others, test the client for concurrency safety:

make test

One of these unit tests spawns tens of thousands of goroutines to concurrently read, write and inspect the references of specific entries while at the same time keeps rebuilding the cache. From the screenshot above we see that no race condition is shown. Even at this concurrency level, though there's no guarantee that running

go test ./...

will be enough to generate a collision. What we really want to do is to add a new parameter to enable the go race detector with

go test -race ./...

(In gocontentful you can run make race to fire up both the API generation and the race test)

From the documentation at https://go.dev/blog/race-detector:

When the -race command-line flag is set, the compiler instruments all memory accesses with code that records when and how the memory was accessed, while the runtime library watches for unsynchronized accesses to shared variables. When such “racy” behavior is detected, a warning is printed.

Running this in gocontentful shows that we indeed have a potential collision condition:

Race condition

Note: After you run this test you'll want to search for "race" inside the terminal output. Make sure you enable a very long (if not infinite) scrollback or you might miss some hits.

The race detector reports the filenames and lines of code that generated the race condition. Looking at those lines in our example shows that a field of the cache (the "offline" boolean) is written protecting it with a proper mutex lock but the lock handling is missing around the read operation:

Read access

Write access

The fix is very simple but in this particular case the offline flag is read and then a 2 seconds delay is started. Deferring the unlock would keep the variable locked for far too long, so we will read-lock it only for the time needed to copy its value to a local variable:

Fix race condition

After fixing the issue in the generator templates and regenerating the code, the tests with the race detector run fine. In gocontentful this can be done all in one step with make race:

No race condition

Test coverage​

That was nice! But how do we know if we're covering all test cases? Go has been supporting test code coverage since 1.12 through the -cover option. We can also limit the coverage to a specific package. In our case, we're only interested in the testapi sub-package because we want to test the generated API, not the generator itself.

go test -cover -coverpkg=./test/testapi ./...

Let's try and run the tests with coverage:

Basic coverage

The summary shows we are only covering 22% of the code. The goal is not to cover 100%, some parts only work online calling the actual API of a real Contentful space, but we definitely have room for improvement.

The question is: how do we know exactly which lines of code we're covering through the test suite? Again, go test comes to the rescue through another option: -coverprofile lets us specify an output file that will contain references to each single line of code involved in the analysis. It is a text file, but not very readable:

github.com/foom...tapi/gocontentfulvolibproduct.go:21.86,22.15 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:25.2,25.18 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:28.2,29.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:32.2,33.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:36.2,37.37 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:40.2,40.24 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:22.15,24.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:25.18,27.3 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:29.16,31.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:33.16,35.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:37.37,39.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:43.114,44.35 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:47.2,48.18 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:51.2,53.16 3 0
github.com/foom...tapi/gocontentfulvolibproduct.go:56.2,57.16 2 0
...

We can use go tool to convert it to a much better representation in HTML:

go tool cover -html=cover.out -o cover.html

Opening this file in a browser reveals a lot of useful information:

Coverage HTML

At the top left of the page there's a menu where we can select from all the files analyzed, listed along with the percentage of coverage for each one. Inside every file the lines covered by the tests are green while the red ones are not covered. In the example above we can see that the getAllAssets function is covered but it includes an else condition that is never met.

In gocontentful (starting from 1.0.18) we can generate the test API, run the tests with coverage, convert the output file and open it in the browser with a single command:

make cover

As stated above, not necessarily 100% of the code needs to be covered by the tests, but this view in combination with the race detector gives us incredibly useful information to make the code more solid.

Patrick Buchner
Boštjan Marušič

Intro​

Calculating with money can be tricky if not taken proper precautions. Some might be tempted to use float representation for calculating with currency values. That is problematic because of possible rounding errors.

Finite accuracy of representation​

Floating points are represented like this

Floating point representation

Not every number can be represented with a finite number of decimal places

0.01 —> 0.0000011001100110011…

Taking 17 places of the above results in 0.010000000000000001

Consider the following code snipet that shows the missing accuracy

func main() {

  var n float64 = 0

  for i := 0; i < 1000; i++ {
    n += .01
  }

  fmt.Println(n)

}

Result: 9.999999999999831

Money computations​

They can't be done with floating-point as it would inevitably lead to rounding errors.

Even the following packages are problematic:

github.com/shopspring/decimal

github.com/Rhymond/go-money

a := decimal.NewFromInt(2)
b := decimal.NewFromFloat(300.99)
c := a.Mul(b)
d := c.Div(decimal.NewFromInt(3))

Solution​

Use Int by representing money in cents:

  • 10.99 -> 1099 (cents)
  • 10.9900 -> 109900 (4 digit tax)

Conclusion​

Division is a problem!

1/3 - > 0.33333333… Correct way: 0.33, 0.33, 0.34

When doing money calculations one should avoid division as it inevitably leads to loss of accuracy. When dividing make sure to round to cent and deal with diffs.

Division by 10^k is ok as long as we are inside of the range of the data type.

- - + + \ No newline at end of file diff --git a/blog/tags/javascript.html b/blog/tags/javascript.html index 24a346e..3bf72e0 100644 --- a/blog/tags/javascript.html +++ b/blog/tags/javascript.html @@ -2,23 +2,23 @@ - + One post tagged with "javascript" | foomo project docs - - - + + +
-

One post tagged with "javascript"

View All Tags

Nicola Turcato

Intro​

JavaScript is parsed, compiled and executed in the main thread of the browser. Which means that users have to wait for all of this before they can interact with the website.

Frontend performance optimization is critical because it accounts for around 80-90% of user response time (10-20% backend). +

One post tagged with "javascript"

View All Tags

Nicola Turcato

Intro​

JavaScript is parsed, compiled and executed in the main thread of the browser. Which means that users have to wait for all of this before they can interact with the website.

Frontend performance optimization is critical because it accounts for around 80-90% of user response time (10-20% backend). So when a user is waiting for a page to load, around 80-90% of the time is due to frontend related code and assets.

Nobody likes waiting…​

A study found that if a site takes longer than 4 seconds to load, up to 25% of users would abandon the site.

Sending large JavaScript payloads impacts the speed of your site significantly.

Mazzarri

What is a "bundle"?​

Your frontend application needs a bunch of JS files to run. These files can be in the format of internal dependency like the JS files you have written yourself. But they can also be external dependencies you use to build your application.

JS bundling is an optimization technique to reduce the number of server requests for JavaScript files. Bundling accomplishes this by merging multiple JA files together into one file to reduce the number of page requests.

Bundle Everywhere

Performance implications​

  • Time to transmit over the network: considering slow connections with some mobile devices, it's possible that your page will not be interactive until it loads.-> More bytes = longer download times
  • JS parse and compile time: more code you load, more the browser must parse.-> JS gets parsed and compiled on the main thread, when the main thread is busy, the page can't respond to user input
  • JS execution time: optimally you will only pack the code that you expect to execute. The more code you want to execute the longer it will take. It's possible that your page won't be interactive until some of this completes.-> JS is also executed on the main thread, if your page runs a lot of code before it's really needed, that also delays your Time to Interactive
  • Memory consumption: everything fills up the space -> code itself, runtime variables, DOM elements created, etc.-> Pages appear slow when it consumes a lot of memory. Memory leaks can cause your page to freeze up completely!!

AS SMALL AS POSSIBLE! I experienced that is not really possible to give a precise answer because each application is different. Generally you want the resources on initial load to be as small as possible, so that you decrease the initial load time, and then load more resources as needed on the fly.

Mr Chao

What do we do then?​

Meh

How to start decreasing the bundle size?​

  • Measure: first of all you want to measure. The first step is to use Lighthouse and try to understand the results. It will give you a couple of interesting metrics and some tips. Time to interactive (TTI) is a good reflection of your bundle size because your bundle needs to be evaluated entirely before a user can interact with your web app.
  • Analyze: Consists on analyzing the bundle in order to detect critical chunks. A useful tool is Webpack Bundle Analyzer.

Stonks

Breaking up the bundle...​

  • Monitor network requests: These happens between our FCP and TTI. As the initial request for data often occurs when our components initially mount.
  • Reduce the total dom nodes: the less the page needs to render, the less time it takes.
  • Moving work off the main thread: By moving heavy computations to a web worker, the computation will be run on a separate thread, and not block the actual rendering of the page
  • Caching: Even if not useful for users on first page landing, caching data, bundles, and assets can make subsequent visits way fast

Breaking Bad

Which strategies can we adopt?​

  • Minification and Dead Code Elimination: These processes are often summed up as minifying or uglifying.
  • Tree shaking: Tree shaking is dead code elimination on a project or library. Always try to use deps which support “tree shaking”, Bundlephobia could be your friend in this case.
  • Code Splitting and Lazy Loading: Code splitting consists on taking a collection of modules and remove them from the main JS bundle. Lazy loading means we can load this newly created bundle later on.
  • Replace/rewrite large dependencies: Consider replacing or rewriting libraries that are large in size where you might not need all of its functionalities (Moment.js for example).
  • Feature module import: Check to see if you are using only a feature module of the library that can be imported alone without importing the whole library (Lodash for example).

Strategy

Useful tools to help you reducing bundle size​

  • Lighthouse: automated tool for improving the performance, quality, and correctness of your web apps
  • Bundlephobia: Bundlephobia helps you find the performance impact of npm packages
  • Webpack Bundle Analyzer: analyzes your bundle
  • VS Code: Import Cost plugin -> Display import/require package size in the editor

Tools

Conclusion​

Performance cannot be stripped down to a single metric such as bundle size. It would be great! Unfortunately there is no single place to measure all of them.I think metrics like the Core Web Vitals and a general look at bundle size should be considered as a starting point. You will cry... A lot... But don’t give up!

The End

- - + + \ No newline at end of file diff --git a/blog/tags/k-8-s.html b/blog/tags/k-8-s.html index 1f2664e..f4a2729 100644 --- a/blog/tags/k-8-s.html +++ b/blog/tags/k-8-s.html @@ -2,24 +2,24 @@ - + One post tagged with "k8s" | foomo project docs - - - + + +
-

One post tagged with "k8s"

View All Tags

Stefan Martinov

The Annoyance​

So, we've all been there. You go to your trusty grafana, search for some sweet metrics that you implemented and WHAM! +

One post tagged with "k8s"

View All Tags

Stefan Martinov

The Annoyance​

So, we've all been there. You go to your trusty grafana, search for some sweet metrics that you implemented and WHAM! Prometheus returns us a 503, a trusty way of saying I'm not ready, and I'm probably going to die soon. And since we're running in kubernetes I'm going to die soon, again and again. And you're getting reports from your colleagues that prometheus is not responding. -And you can't ignore them anymore.

Bummer.

The Problem​

All right, lets check what's happening to the little guy.

kubectl get pods -n monitoring

prometheus-prometheus-kube-prometheus-prometheus-0       1/2     Running   4          5m

It seems like it's stuck in the running state, where the container is not yet ready. -Let's describe the deployment, to check out what's happening.

     State:          Running                                                                                                                                                                                                                        │
       Started:      Wed, 12 Jan 2022 15:12:49 +0100                                                                                                                                                                                                │
     Last State:     Terminated                                                                                                                                                                                                                     │
       Reason:       OOMKilled                                                                                                                                                                                                                      │
       Exit Code:    137                                                                                                                                                                                                                            │
       Started:      Tue, 11 Jan 2022 17:14:41 +0100                                                                                                                                                                                                │
       Finished:     Wed, 12 Jan 2022 15:12:47 +0100                                                                                                                                                                                                │

So we see that the prometheus is in a running state waiting for the readiness probe to trigger, probably working on recovering from Write Ahead Log (WAL). +And you can't ignore them anymore.

Bummer.

The Problem​

All right, lets check what's happening to the little guy.

kubectl get pods -n monitoring

prometheus-prometheus-kube-prometheus-prometheus-0       1/2     Running   4          5m

It seems like it's stuck in the running state, where the container is not yet ready. +Let's describe the deployment, to check out what's happening.

     State:          Running                                                                                                                                                                                                                        │
       Started:      Wed, 12 Jan 2022 15:12:49 +0100                                                                                                                                                                                                │
     Last State:     Terminated                                                                                                                                                                                                                     │
       Reason:       OOMKilled                                                                                                                                                                                                                      │
       Exit Code:    137                                                                                                                                                                                                                            │
       Started:      Tue, 11 Jan 2022 17:14:41 +0100                                                                                                                                                                                                │
       Finished:     Wed, 12 Jan 2022 15:12:47 +0100                                                                                                                                                                                                │

So we see that the prometheus is in a running state waiting for the readiness probe to trigger, probably working on recovering from Write Ahead Log (WAL). This could be an issue where prometheus is recovering from an error, or a restart and does not have enough memory to write everything in the WAL. We could be running into an issue where we set the request/limits memory lower than the prometheus requires, and the kube scheduler keeps killing prometheus for wanting more memory.

For this case, we could give it more memory to work to see if it recovers. We should also analyze why the prometheus WAL is getting clogged up.

In essence, we want to check what has changed so that we suddenly have a high memory spike in our sweet, sweet environment.

The Source​

Cardinality

A lot of prometheus issues revolve around cardinality. Memory spikes that break your deployment? Cardinality. @@ -29,12 +29,12 @@ So, as you can see much of life's problems can be accredited to cardinality For example, if our metric http_request_total had a label response code, and let's say we support 8 status codes, our cardinality starts off at 8. For good measure we want to record the HTTP verb for the request. We support GET POST PUT HEAD which would put the cardinality to 4*8=32. Now, if someone adds a URL to the metric label (!!VERY BAD IDEA!!, but bare with me now) and we have 2 active pages, we'd have a cardinality of 2*4*8=64. -But, imagine someone starts scraping your website for potential vulnerabilities. Imagine all the URLs that will appear, most likely only once.

mywebsite.com/admin.php
mywebsite.com/wp/admin.php
mywebsite.com/?utm_source=GUID
...

This would blow up our cardinality to kingdom come. Like you will be out of memory faster than "a new super awesome Javascript gamechanger framework" is born. +But, imagine someone starts scraping your website for potential vulnerabilities. Imagine all the URLs that will appear, most likely only once.

mywebsite.com/admin.php
mywebsite.com/wp/admin.php
mywebsite.com/?utm_source=GUID
...

This would blow up our cardinality to kingdom come. Like you will be out of memory faster than "a new super awesome Javascript gamechanger framework" is born. Or to quote user naveen17797 Scientists predict the number of js frameworks may exceed human population by 2020,at that point of time random string generators will be used to name those frameworks.

The point to this story is, be very mindful of how you use labels and cardinality in prometheus, since that will indeed have great impact on your prometheus performance.

The Solution​

Since this has never happened to me (never-ever) I found the following solution to be handy. Since we can't get prometheus up and running to utilize PromQL to detect the potential issues, we have to find another way to detect high cardinality. -Therefore, we might want to get our hands dirty with some kubectl exec -it -n monitoring pods/prometheus-prometheus-kube-prometheus-prometheus-0 -- sh, and run the prometheus tsdb analysis too.

/prometheus $ promtool tsdb analyze .

Which produced the result.

> Block ID: 01FT8E8YY4THHZ2S7C3G04GJMG
> Duration: 1h59m59.997s
> Series: 564171
> Label names: 285
> Postings (unique label pairs): 21139
> Postings entries (total label pairs): 6423664
>
> ...
>
> Highest cardinality metric names:
> 11340 haproxy_server_http_responses_total
> ...

We see the potential issue here, where the haproxy_server_http_responses_total metric is having a super-high cardinality which is growing. +Therefore, we might want to get our hands dirty with some kubectl exec -it -n monitoring pods/prometheus-prometheus-kube-prometheus-prometheus-0 -- sh, and run the prometheus tsdb analysis too.

/prometheus $ promtool tsdb analyze .

Which produced the result.

> Block ID: 01FT8E8YY4THHZ2S7C3G04GJMG
> Duration: 1h59m59.997s
> Series: 564171
> Label names: 285
> Postings (unique label pairs): 21139
> Postings entries (total label pairs): 6423664
>
> ...
>
> Highest cardinality metric names:
> 11340 haproxy_server_http_responses_total
> ...

We see the potential issue here, where the haproxy_server_http_responses_total metric is having a super-high cardinality which is growing. We need to deal with it, so that our prometheus instance can breathe again. In this particular case, the solution was updating the haproxy.

... or burn it, up to you.

Flame Thrower

The Further Reading​

  1. WAL Definition
  2. WAL & Checkpoints
  3. Using TSDB
  4. Biggest Metrics
  5. Cardinality
- - + + \ No newline at end of file diff --git a/blog/tags/memory.html b/blog/tags/memory.html index 66a0afd..681f5db 100644 --- a/blog/tags/memory.html +++ b/blog/tags/memory.html @@ -2,24 +2,24 @@ - + One post tagged with "memory" | foomo project docs - - - + + +
-

One post tagged with "memory"

View All Tags

Stefan Martinov

The Annoyance​

So, we've all been there. You go to your trusty grafana, search for some sweet metrics that you implemented and WHAM! +

One post tagged with "memory"

View All Tags

Stefan Martinov

The Annoyance​

So, we've all been there. You go to your trusty grafana, search for some sweet metrics that you implemented and WHAM! Prometheus returns us a 503, a trusty way of saying I'm not ready, and I'm probably going to die soon. And since we're running in kubernetes I'm going to die soon, again and again. And you're getting reports from your colleagues that prometheus is not responding. -And you can't ignore them anymore.

Bummer.

The Problem​

All right, lets check what's happening to the little guy.

kubectl get pods -n monitoring

prometheus-prometheus-kube-prometheus-prometheus-0       1/2     Running   4          5m

It seems like it's stuck in the running state, where the container is not yet ready. -Let's describe the deployment, to check out what's happening.

     State:          Running                                                                                                                                                                                                                        │
       Started:      Wed, 12 Jan 2022 15:12:49 +0100                                                                                                                                                                                                │
     Last State:     Terminated                                                                                                                                                                                                                     │
       Reason:       OOMKilled                                                                                                                                                                                                                      │
       Exit Code:    137                                                                                                                                                                                                                            │
       Started:      Tue, 11 Jan 2022 17:14:41 +0100                                                                                                                                                                                                │
       Finished:     Wed, 12 Jan 2022 15:12:47 +0100                                                                                                                                                                                                │

So we see that the prometheus is in a running state waiting for the readiness probe to trigger, probably working on recovering from Write Ahead Log (WAL). +And you can't ignore them anymore.

Bummer.

The Problem​

All right, lets check what's happening to the little guy.

kubectl get pods -n monitoring

prometheus-prometheus-kube-prometheus-prometheus-0       1/2     Running   4          5m

It seems like it's stuck in the running state, where the container is not yet ready. +Let's describe the deployment, to check out what's happening.

     State:          Running                                                                                                                                                                                                                        │
       Started:      Wed, 12 Jan 2022 15:12:49 +0100                                                                                                                                                                                                │
     Last State:     Terminated                                                                                                                                                                                                                     │
       Reason:       OOMKilled                                                                                                                                                                                                                      │
       Exit Code:    137                                                                                                                                                                                                                            │
       Started:      Tue, 11 Jan 2022 17:14:41 +0100                                                                                                                                                                                                │
       Finished:     Wed, 12 Jan 2022 15:12:47 +0100                                                                                                                                                                                                │

So we see that the prometheus is in a running state waiting for the readiness probe to trigger, probably working on recovering from Write Ahead Log (WAL). This could be an issue where prometheus is recovering from an error, or a restart and does not have enough memory to write everything in the WAL. We could be running into an issue where we set the request/limits memory lower than the prometheus requires, and the kube scheduler keeps killing prometheus for wanting more memory.

For this case, we could give it more memory to work to see if it recovers. We should also analyze why the prometheus WAL is getting clogged up.

In essence, we want to check what has changed so that we suddenly have a high memory spike in our sweet, sweet environment.

The Source​

Cardinality

A lot of prometheus issues revolve around cardinality. Memory spikes that break your deployment? Cardinality. @@ -29,12 +29,12 @@ So, as you can see much of life's problems can be accredited to cardinality For example, if our metric http_request_total had a label response code, and let's say we support 8 status codes, our cardinality starts off at 8. For good measure we want to record the HTTP verb for the request. We support GET POST PUT HEAD which would put the cardinality to 4*8=32. Now, if someone adds a URL to the metric label (!!VERY BAD IDEA!!, but bare with me now) and we have 2 active pages, we'd have a cardinality of 2*4*8=64. -But, imagine someone starts scraping your website for potential vulnerabilities. Imagine all the URLs that will appear, most likely only once.

mywebsite.com/admin.php
mywebsite.com/wp/admin.php
mywebsite.com/?utm_source=GUID
...

This would blow up our cardinality to kingdom come. Like you will be out of memory faster than "a new super awesome Javascript gamechanger framework" is born. +But, imagine someone starts scraping your website for potential vulnerabilities. Imagine all the URLs that will appear, most likely only once.

mywebsite.com/admin.php
mywebsite.com/wp/admin.php
mywebsite.com/?utm_source=GUID
...

This would blow up our cardinality to kingdom come. Like you will be out of memory faster than "a new super awesome Javascript gamechanger framework" is born. Or to quote user naveen17797 Scientists predict the number of js frameworks may exceed human population by 2020,at that point of time random string generators will be used to name those frameworks.

The point to this story is, be very mindful of how you use labels and cardinality in prometheus, since that will indeed have great impact on your prometheus performance.

The Solution​

Since this has never happened to me (never-ever) I found the following solution to be handy. Since we can't get prometheus up and running to utilize PromQL to detect the potential issues, we have to find another way to detect high cardinality. -Therefore, we might want to get our hands dirty with some kubectl exec -it -n monitoring pods/prometheus-prometheus-kube-prometheus-prometheus-0 -- sh, and run the prometheus tsdb analysis too.

/prometheus $ promtool tsdb analyze .

Which produced the result.

> Block ID: 01FT8E8YY4THHZ2S7C3G04GJMG
> Duration: 1h59m59.997s
> Series: 564171
> Label names: 285
> Postings (unique label pairs): 21139
> Postings entries (total label pairs): 6423664
>
> ...
>
> Highest cardinality metric names:
> 11340 haproxy_server_http_responses_total
> ...

We see the potential issue here, where the haproxy_server_http_responses_total metric is having a super-high cardinality which is growing. +Therefore, we might want to get our hands dirty with some kubectl exec -it -n monitoring pods/prometheus-prometheus-kube-prometheus-prometheus-0 -- sh, and run the prometheus tsdb analysis too.

/prometheus $ promtool tsdb analyze .

Which produced the result.

> Block ID: 01FT8E8YY4THHZ2S7C3G04GJMG
> Duration: 1h59m59.997s
> Series: 564171
> Label names: 285
> Postings (unique label pairs): 21139
> Postings entries (total label pairs): 6423664
>
> ...
>
> Highest cardinality metric names:
> 11340 haproxy_server_http_responses_total
> ...

We see the potential issue here, where the haproxy_server_http_responses_total metric is having a super-high cardinality which is growing. We need to deal with it, so that our prometheus instance can breathe again. In this particular case, the solution was updating the haproxy.

... or burn it, up to you.

Flame Thrower

The Further Reading​

  1. WAL Definition
  2. WAL & Checkpoints
  3. Using TSDB
  4. Biggest Metrics
  5. Cardinality
- - + + \ No newline at end of file diff --git a/blog/tags/oom.html b/blog/tags/oom.html index 89467b5..854fefa 100644 --- a/blog/tags/oom.html +++ b/blog/tags/oom.html @@ -2,24 +2,24 @@ - + One post tagged with "oom" | foomo project docs - - - + + +
-

One post tagged with "oom"

View All Tags

Stefan Martinov

The Annoyance​

So, we've all been there. You go to your trusty grafana, search for some sweet metrics that you implemented and WHAM! +

One post tagged with "oom"

View All Tags

Stefan Martinov

The Annoyance​

So, we've all been there. You go to your trusty grafana, search for some sweet metrics that you implemented and WHAM! Prometheus returns us a 503, a trusty way of saying I'm not ready, and I'm probably going to die soon. And since we're running in kubernetes I'm going to die soon, again and again. And you're getting reports from your colleagues that prometheus is not responding. -And you can't ignore them anymore.

Bummer.

The Problem​

All right, lets check what's happening to the little guy.

kubectl get pods -n monitoring

prometheus-prometheus-kube-prometheus-prometheus-0       1/2     Running   4          5m

It seems like it's stuck in the running state, where the container is not yet ready. -Let's describe the deployment, to check out what's happening.

     State:          Running                                                                                                                                                                                                                        │
       Started:      Wed, 12 Jan 2022 15:12:49 +0100                                                                                                                                                                                                │
     Last State:     Terminated                                                                                                                                                                                                                     │
       Reason:       OOMKilled                                                                                                                                                                                                                      │
       Exit Code:    137                                                                                                                                                                                                                            │
       Started:      Tue, 11 Jan 2022 17:14:41 +0100                                                                                                                                                                                                │
       Finished:     Wed, 12 Jan 2022 15:12:47 +0100                                                                                                                                                                                                │

So we see that the prometheus is in a running state waiting for the readiness probe to trigger, probably working on recovering from Write Ahead Log (WAL). +And you can't ignore them anymore.

Bummer.

The Problem​

All right, lets check what's happening to the little guy.

kubectl get pods -n monitoring

prometheus-prometheus-kube-prometheus-prometheus-0       1/2     Running   4          5m

It seems like it's stuck in the running state, where the container is not yet ready. +Let's describe the deployment, to check out what's happening.

     State:          Running                                                                                                                                                                                                                        │
       Started:      Wed, 12 Jan 2022 15:12:49 +0100                                                                                                                                                                                                │
     Last State:     Terminated                                                                                                                                                                                                                     │
       Reason:       OOMKilled                                                                                                                                                                                                                      │
       Exit Code:    137                                                                                                                                                                                                                            │
       Started:      Tue, 11 Jan 2022 17:14:41 +0100                                                                                                                                                                                                │
       Finished:     Wed, 12 Jan 2022 15:12:47 +0100                                                                                                                                                                                                │

So we see that the prometheus is in a running state waiting for the readiness probe to trigger, probably working on recovering from Write Ahead Log (WAL). This could be an issue where prometheus is recovering from an error, or a restart and does not have enough memory to write everything in the WAL. We could be running into an issue where we set the request/limits memory lower than the prometheus requires, and the kube scheduler keeps killing prometheus for wanting more memory.

For this case, we could give it more memory to work to see if it recovers. We should also analyze why the prometheus WAL is getting clogged up.

In essence, we want to check what has changed so that we suddenly have a high memory spike in our sweet, sweet environment.

The Source​

Cardinality

A lot of prometheus issues revolve around cardinality. Memory spikes that break your deployment? Cardinality. @@ -29,12 +29,12 @@ So, as you can see much of life's problems can be accredited to cardinality For example, if our metric http_request_total had a label response code, and let's say we support 8 status codes, our cardinality starts off at 8. For good measure we want to record the HTTP verb for the request. We support GET POST PUT HEAD which would put the cardinality to 4*8=32. Now, if someone adds a URL to the metric label (!!VERY BAD IDEA!!, but bare with me now) and we have 2 active pages, we'd have a cardinality of 2*4*8=64. -But, imagine someone starts scraping your website for potential vulnerabilities. Imagine all the URLs that will appear, most likely only once.

mywebsite.com/admin.php
mywebsite.com/wp/admin.php
mywebsite.com/?utm_source=GUID
...

This would blow up our cardinality to kingdom come. Like you will be out of memory faster than "a new super awesome Javascript gamechanger framework" is born. +But, imagine someone starts scraping your website for potential vulnerabilities. Imagine all the URLs that will appear, most likely only once.

mywebsite.com/admin.php
mywebsite.com/wp/admin.php
mywebsite.com/?utm_source=GUID
...

This would blow up our cardinality to kingdom come. Like you will be out of memory faster than "a new super awesome Javascript gamechanger framework" is born. Or to quote user naveen17797 Scientists predict the number of js frameworks may exceed human population by 2020,at that point of time random string generators will be used to name those frameworks.

The point to this story is, be very mindful of how you use labels and cardinality in prometheus, since that will indeed have great impact on your prometheus performance.

The Solution​

Since this has never happened to me (never-ever) I found the following solution to be handy. Since we can't get prometheus up and running to utilize PromQL to detect the potential issues, we have to find another way to detect high cardinality. -Therefore, we might want to get our hands dirty with some kubectl exec -it -n monitoring pods/prometheus-prometheus-kube-prometheus-prometheus-0 -- sh, and run the prometheus tsdb analysis too.

/prometheus $ promtool tsdb analyze .

Which produced the result.

> Block ID: 01FT8E8YY4THHZ2S7C3G04GJMG
> Duration: 1h59m59.997s
> Series: 564171
> Label names: 285
> Postings (unique label pairs): 21139
> Postings entries (total label pairs): 6423664
>
> ...
>
> Highest cardinality metric names:
> 11340 haproxy_server_http_responses_total
> ...

We see the potential issue here, where the haproxy_server_http_responses_total metric is having a super-high cardinality which is growing. +Therefore, we might want to get our hands dirty with some kubectl exec -it -n monitoring pods/prometheus-prometheus-kube-prometheus-prometheus-0 -- sh, and run the prometheus tsdb analysis too.

/prometheus $ promtool tsdb analyze .

Which produced the result.

> Block ID: 01FT8E8YY4THHZ2S7C3G04GJMG
> Duration: 1h59m59.997s
> Series: 564171
> Label names: 285
> Postings (unique label pairs): 21139
> Postings entries (total label pairs): 6423664
>
> ...
>
> Highest cardinality metric names:
> 11340 haproxy_server_http_responses_total
> ...

We see the potential issue here, where the haproxy_server_http_responses_total metric is having a super-high cardinality which is growing. We need to deal with it, so that our prometheus instance can breathe again. In this particular case, the solution was updating the haproxy.

... or burn it, up to you.

Flame Thrower

The Further Reading​

  1. WAL Definition
  2. WAL & Checkpoints
  3. Using TSDB
  4. Biggest Metrics
  5. Cardinality
- - + + \ No newline at end of file diff --git a/blog/tags/ops.html b/blog/tags/ops.html index 6eb0636..0215024 100644 --- a/blog/tags/ops.html +++ b/blog/tags/ops.html @@ -2,24 +2,24 @@ - + One post tagged with "ops" | foomo project docs - - - + + +
-

One post tagged with "ops"

View All Tags

Stefan Martinov

The Annoyance​

So, we've all been there. You go to your trusty grafana, search for some sweet metrics that you implemented and WHAM! +

One post tagged with "ops"

View All Tags

Stefan Martinov

The Annoyance​

So, we've all been there. You go to your trusty grafana, search for some sweet metrics that you implemented and WHAM! Prometheus returns us a 503, a trusty way of saying I'm not ready, and I'm probably going to die soon. And since we're running in kubernetes I'm going to die soon, again and again. And you're getting reports from your colleagues that prometheus is not responding. -And you can't ignore them anymore.

Bummer.

The Problem​

All right, lets check what's happening to the little guy.

kubectl get pods -n monitoring

prometheus-prometheus-kube-prometheus-prometheus-0       1/2     Running   4          5m

It seems like it's stuck in the running state, where the container is not yet ready. -Let's describe the deployment, to check out what's happening.

     State:          Running                                                                                                                                                                                                                        │
       Started:      Wed, 12 Jan 2022 15:12:49 +0100                                                                                                                                                                                                │
     Last State:     Terminated                                                                                                                                                                                                                     │
       Reason:       OOMKilled                                                                                                                                                                                                                      │
       Exit Code:    137                                                                                                                                                                                                                            │
       Started:      Tue, 11 Jan 2022 17:14:41 +0100                                                                                                                                                                                                │
       Finished:     Wed, 12 Jan 2022 15:12:47 +0100                                                                                                                                                                                                │

So we see that the prometheus is in a running state waiting for the readiness probe to trigger, probably working on recovering from Write Ahead Log (WAL). +And you can't ignore them anymore.

Bummer.

The Problem​

All right, lets check what's happening to the little guy.

kubectl get pods -n monitoring

prometheus-prometheus-kube-prometheus-prometheus-0       1/2     Running   4          5m

It seems like it's stuck in the running state, where the container is not yet ready. +Let's describe the deployment, to check out what's happening.

     State:          Running                                                                                                                                                                                                                        │
       Started:      Wed, 12 Jan 2022 15:12:49 +0100                                                                                                                                                                                                │
     Last State:     Terminated                                                                                                                                                                                                                     │
       Reason:       OOMKilled                                                                                                                                                                                                                      │
       Exit Code:    137                                                                                                                                                                                                                            │
       Started:      Tue, 11 Jan 2022 17:14:41 +0100                                                                                                                                                                                                │
       Finished:     Wed, 12 Jan 2022 15:12:47 +0100                                                                                                                                                                                                │

So we see that the prometheus is in a running state waiting for the readiness probe to trigger, probably working on recovering from Write Ahead Log (WAL). This could be an issue where prometheus is recovering from an error, or a restart and does not have enough memory to write everything in the WAL. We could be running into an issue where we set the request/limits memory lower than the prometheus requires, and the kube scheduler keeps killing prometheus for wanting more memory.

For this case, we could give it more memory to work to see if it recovers. We should also analyze why the prometheus WAL is getting clogged up.

In essence, we want to check what has changed so that we suddenly have a high memory spike in our sweet, sweet environment.

The Source​

Cardinality

A lot of prometheus issues revolve around cardinality. Memory spikes that break your deployment? Cardinality. @@ -29,12 +29,12 @@ So, as you can see much of life's problems can be accredited to cardinality For example, if our metric http_request_total had a label response code, and let's say we support 8 status codes, our cardinality starts off at 8. For good measure we want to record the HTTP verb for the request. We support GET POST PUT HEAD which would put the cardinality to 4*8=32. Now, if someone adds a URL to the metric label (!!VERY BAD IDEA!!, but bare with me now) and we have 2 active pages, we'd have a cardinality of 2*4*8=64. -But, imagine someone starts scraping your website for potential vulnerabilities. Imagine all the URLs that will appear, most likely only once.

mywebsite.com/admin.php
mywebsite.com/wp/admin.php
mywebsite.com/?utm_source=GUID
...

This would blow up our cardinality to kingdom come. Like you will be out of memory faster than "a new super awesome Javascript gamechanger framework" is born. +But, imagine someone starts scraping your website for potential vulnerabilities. Imagine all the URLs that will appear, most likely only once.

mywebsite.com/admin.php
mywebsite.com/wp/admin.php
mywebsite.com/?utm_source=GUID
...

This would blow up our cardinality to kingdom come. Like you will be out of memory faster than "a new super awesome Javascript gamechanger framework" is born. Or to quote user naveen17797 Scientists predict the number of js frameworks may exceed human population by 2020,at that point of time random string generators will be used to name those frameworks.

The point to this story is, be very mindful of how you use labels and cardinality in prometheus, since that will indeed have great impact on your prometheus performance.

The Solution​

Since this has never happened to me (never-ever) I found the following solution to be handy. Since we can't get prometheus up and running to utilize PromQL to detect the potential issues, we have to find another way to detect high cardinality. -Therefore, we might want to get our hands dirty with some kubectl exec -it -n monitoring pods/prometheus-prometheus-kube-prometheus-prometheus-0 -- sh, and run the prometheus tsdb analysis too.

/prometheus $ promtool tsdb analyze .

Which produced the result.

> Block ID: 01FT8E8YY4THHZ2S7C3G04GJMG
> Duration: 1h59m59.997s
> Series: 564171
> Label names: 285
> Postings (unique label pairs): 21139
> Postings entries (total label pairs): 6423664
>
> ...
>
> Highest cardinality metric names:
> 11340 haproxy_server_http_responses_total
> ...

We see the potential issue here, where the haproxy_server_http_responses_total metric is having a super-high cardinality which is growing. +Therefore, we might want to get our hands dirty with some kubectl exec -it -n monitoring pods/prometheus-prometheus-kube-prometheus-prometheus-0 -- sh, and run the prometheus tsdb analysis too.

/prometheus $ promtool tsdb analyze .

Which produced the result.

> Block ID: 01FT8E8YY4THHZ2S7C3G04GJMG
> Duration: 1h59m59.997s
> Series: 564171
> Label names: 285
> Postings (unique label pairs): 21139
> Postings entries (total label pairs): 6423664
>
> ...
>
> Highest cardinality metric names:
> 11340 haproxy_server_http_responses_total
> ...

We see the potential issue here, where the haproxy_server_http_responses_total metric is having a super-high cardinality which is growing. We need to deal with it, so that our prometheus instance can breathe again. In this particular case, the solution was updating the haproxy.

... or burn it, up to you.

Flame Thrower

The Further Reading​

  1. WAL Definition
  2. WAL & Checkpoints
  3. Using TSDB
  4. Biggest Metrics
  5. Cardinality
- - + + \ No newline at end of file diff --git a/blog/tags/performance.html b/blog/tags/performance.html index 9ff7817..530430b 100644 --- a/blog/tags/performance.html +++ b/blog/tags/performance.html @@ -2,21 +2,21 @@ - + One post tagged with "performance" | foomo project docs - - - + + +
-

One post tagged with "performance"

View All Tags

Marko Trebižan

Issue with performance​

When building an ecommerce site or an application where performance is a great deal for the users, you need to keep your application fast and responsive. Frontend developers have already many use-cases when the UI becomes laggy and this increases when 3rd party scripts are being included, such as Google Tag Manager or various Live chats (e.g. Intercom).

This does not only influences the users when using the site but also Lighthouse score gets lower which also influences page rankings. So the most naive and easy way for this is to defer loading of such scripts but when you need to get all the data from the start of the application, such tactic is not an option. So what else can we do?

Partytown to the rescue​

Developers at BuilderIO created an library Partytown that would allow relocating resources from 3rd party scripts off the main thread. -We won't dive into specifics how it works, because they explain it nicely on their GitHub page.

In our stack we use Next.js React framework and we will go through the basic steps that will allow us to include Partytown for Google Tag Manager.

Setup​

Partytown script needs to be located inside our application and live on the same domain. Since we're using monorepo structure, we need to copy this script across all our frontend application. For that we used CopyPlugin webpack plugin in our Next.js config file:

config.plugins.push(
      ...
      new CopyPlugin({
        patterns: [
          {
            // we copy script from node_modules partytown package to `~partytown` folder in our package that serves static files
            from: path.join(path.dirname(require.resolve('@builder.io/partytown')), 'lib'),
            // paths for SSR and client side rendering differ
            to: path.join(`${isServer ? '..' : '.'}/static/assets/`, '~partytown'),
          },
        ],
      })
    );

Partytown's requirement is that it needs to know what script should it load into own web worker. For that we set script type to text/partytown. This will prevent script to load on initial load.

Inside _document.tsx we add this:

<Head>
    ...
    // include Partytown and set custom path due to multiple frontends
    <Partytown lib={`${addTrailingSlash(this.props.basePath)}_next/static/assets/~partytown/`} debug={false} />
    // tag 3rd party script with partytown type
    <script type="text/partytown" src={`https://www.googletagmanager.com/gtm.js?id=${id}`} />
    ...
</Head>

Results​

So now, does it work? We used one of our large Ecommerce sites to test the landing Lighthouse score.

This was before adding Partytown:

Lighthouse before Partytown

Here you can see 2 critical things: almost 1s of total blocking time (TBT) and 9s of time to interactive (TTI).

After we added Partytown, we got this:

Lighthouse after Partytown

Time to interactive went from 9s to 6.1s which is almost 33% improvement and total blocking time was reduce by more than 50%! We were more than impressed how easy it was to improve our performances.

Side note: Both screenshots were compressed using Squoosh App.

Next steps

After successful testing of Partytown for Google Tag Manager script, we are more than interested in trying it out on our other scripts. One important topic will be to test Partytown with other service-worker related libraries and how to use them together.

- - +

One post tagged with "performance"

View All Tags

Marko Trebižan

Issue with performance​

When building an ecommerce site or an application where performance is a great deal for the users, you need to keep your application fast and responsive. Frontend developers have already many use-cases when the UI becomes laggy and this increases when 3rd party scripts are being included, such as Google Tag Manager or various Live chats (e.g. Intercom).

This does not only influences the users when using the site but also Lighthouse score gets lower which also influences page rankings. So the most naive and easy way for this is to defer loading of such scripts but when you need to get all the data from the start of the application, such tactic is not an option. So what else can we do?

Partytown to the rescue​

Developers at BuilderIO created an library Partytown that would allow relocating resources from 3rd party scripts off the main thread. +We won't dive into specifics how it works, because they explain it nicely on their GitHub page.

In our stack we use Next.js React framework and we will go through the basic steps that will allow us to include Partytown for Google Tag Manager.

Setup​

Partytown script needs to be located inside our application and live on the same domain. Since we're using monorepo structure, we need to copy this script across all our frontend application. For that we used CopyPlugin webpack plugin in our Next.js config file:

config.plugins.push(
      ...
      new CopyPlugin({
        patterns: [
          {
            // we copy script from node_modules partytown package to `~partytown` folder in our package that serves static files
            from: path.join(path.dirname(require.resolve('@builder.io/partytown')), 'lib'),
            // paths for SSR and client side rendering differ
            to: path.join(`${isServer ? '..' : '.'}/static/assets/`, '~partytown'),
          },
        ],
      })
    );

Partytown's requirement is that it needs to know what script should it load into own web worker. For that we set script type to text/partytown. This will prevent script to load on initial load.

Inside _document.tsx we add this:

<Head>
    ...
    // include Partytown and set custom path due to multiple frontends
    <Partytown lib={`${addTrailingSlash(this.props.basePath)}_next/static/assets/~partytown/`} debug={false} />
    // tag 3rd party script with partytown type
    <script type="text/partytown" src={`https://www.googletagmanager.com/gtm.js?id=${id}`} />
    ...
</Head>

Results​

So now, does it work? We used one of our large Ecommerce sites to test the landing Lighthouse score.

This was before adding Partytown:

Lighthouse before Partytown

Here you can see 2 critical things: almost 1s of total blocking time (TBT) and 9s of time to interactive (TTI).

After we added Partytown, we got this:

Lighthouse after Partytown

Time to interactive went from 9s to 6.1s which is almost 33% improvement and total blocking time was reduce by more than 50%! We were more than impressed how easy it was to improve our performances.

Side note: Both screenshots were compressed using Squoosh App.

Next steps

After successful testing of Partytown for Google Tag Manager script, we are more than interested in trying it out on our other scripts. One important topic will be to test Partytown with other service-worker related libraries and how to use them together.

+ + \ No newline at end of file diff --git a/blog/tags/prometheus.html b/blog/tags/prometheus.html index 963f8ce..19292c0 100644 --- a/blog/tags/prometheus.html +++ b/blog/tags/prometheus.html @@ -2,24 +2,24 @@ - + One post tagged with "prometheus" | foomo project docs - - - + + +
-

One post tagged with "prometheus"

View All Tags

Stefan Martinov

The Annoyance​

So, we've all been there. You go to your trusty grafana, search for some sweet metrics that you implemented and WHAM! +

One post tagged with "prometheus"

View All Tags

Stefan Martinov

The Annoyance​

So, we've all been there. You go to your trusty grafana, search for some sweet metrics that you implemented and WHAM! Prometheus returns us a 503, a trusty way of saying I'm not ready, and I'm probably going to die soon. And since we're running in kubernetes I'm going to die soon, again and again. And you're getting reports from your colleagues that prometheus is not responding. -And you can't ignore them anymore.

Bummer.

The Problem​

All right, lets check what's happening to the little guy.

kubectl get pods -n monitoring

prometheus-prometheus-kube-prometheus-prometheus-0       1/2     Running   4          5m

It seems like it's stuck in the running state, where the container is not yet ready. -Let's describe the deployment, to check out what's happening.

     State:          Running                                                                                                                                                                                                                        │
       Started:      Wed, 12 Jan 2022 15:12:49 +0100                                                                                                                                                                                                │
     Last State:     Terminated                                                                                                                                                                                                                     │
       Reason:       OOMKilled                                                                                                                                                                                                                      │
       Exit Code:    137                                                                                                                                                                                                                            │
       Started:      Tue, 11 Jan 2022 17:14:41 +0100                                                                                                                                                                                                │
       Finished:     Wed, 12 Jan 2022 15:12:47 +0100                                                                                                                                                                                                │

So we see that the prometheus is in a running state waiting for the readiness probe to trigger, probably working on recovering from Write Ahead Log (WAL). +And you can't ignore them anymore.

Bummer.

The Problem​

All right, lets check what's happening to the little guy.

kubectl get pods -n monitoring

prometheus-prometheus-kube-prometheus-prometheus-0       1/2     Running   4          5m

It seems like it's stuck in the running state, where the container is not yet ready. +Let's describe the deployment, to check out what's happening.

     State:          Running                                                                                                                                                                                                                        │
       Started:      Wed, 12 Jan 2022 15:12:49 +0100                                                                                                                                                                                                │
     Last State:     Terminated                                                                                                                                                                                                                     │
       Reason:       OOMKilled                                                                                                                                                                                                                      │
       Exit Code:    137                                                                                                                                                                                                                            │
       Started:      Tue, 11 Jan 2022 17:14:41 +0100                                                                                                                                                                                                │
       Finished:     Wed, 12 Jan 2022 15:12:47 +0100                                                                                                                                                                                                │

So we see that the prometheus is in a running state waiting for the readiness probe to trigger, probably working on recovering from Write Ahead Log (WAL). This could be an issue where prometheus is recovering from an error, or a restart and does not have enough memory to write everything in the WAL. We could be running into an issue where we set the request/limits memory lower than the prometheus requires, and the kube scheduler keeps killing prometheus for wanting more memory.

For this case, we could give it more memory to work to see if it recovers. We should also analyze why the prometheus WAL is getting clogged up.

In essence, we want to check what has changed so that we suddenly have a high memory spike in our sweet, sweet environment.

The Source​

Cardinality

A lot of prometheus issues revolve around cardinality. Memory spikes that break your deployment? Cardinality. @@ -29,12 +29,12 @@ So, as you can see much of life's problems can be accredited to cardinality For example, if our metric http_request_total had a label response code, and let's say we support 8 status codes, our cardinality starts off at 8. For good measure we want to record the HTTP verb for the request. We support GET POST PUT HEAD which would put the cardinality to 4*8=32. Now, if someone adds a URL to the metric label (!!VERY BAD IDEA!!, but bare with me now) and we have 2 active pages, we'd have a cardinality of 2*4*8=64. -But, imagine someone starts scraping your website for potential vulnerabilities. Imagine all the URLs that will appear, most likely only once.

mywebsite.com/admin.php
mywebsite.com/wp/admin.php
mywebsite.com/?utm_source=GUID
...

This would blow up our cardinality to kingdom come. Like you will be out of memory faster than "a new super awesome Javascript gamechanger framework" is born. +But, imagine someone starts scraping your website for potential vulnerabilities. Imagine all the URLs that will appear, most likely only once.

mywebsite.com/admin.php
mywebsite.com/wp/admin.php
mywebsite.com/?utm_source=GUID
...

This would blow up our cardinality to kingdom come. Like you will be out of memory faster than "a new super awesome Javascript gamechanger framework" is born. Or to quote user naveen17797 Scientists predict the number of js frameworks may exceed human population by 2020,at that point of time random string generators will be used to name those frameworks.

The point to this story is, be very mindful of how you use labels and cardinality in prometheus, since that will indeed have great impact on your prometheus performance.

The Solution​

Since this has never happened to me (never-ever) I found the following solution to be handy. Since we can't get prometheus up and running to utilize PromQL to detect the potential issues, we have to find another way to detect high cardinality. -Therefore, we might want to get our hands dirty with some kubectl exec -it -n monitoring pods/prometheus-prometheus-kube-prometheus-prometheus-0 -- sh, and run the prometheus tsdb analysis too.

/prometheus $ promtool tsdb analyze .

Which produced the result.

> Block ID: 01FT8E8YY4THHZ2S7C3G04GJMG
> Duration: 1h59m59.997s
> Series: 564171
> Label names: 285
> Postings (unique label pairs): 21139
> Postings entries (total label pairs): 6423664
>
> ...
>
> Highest cardinality metric names:
> 11340 haproxy_server_http_responses_total
> ...

We see the potential issue here, where the haproxy_server_http_responses_total metric is having a super-high cardinality which is growing. +Therefore, we might want to get our hands dirty with some kubectl exec -it -n monitoring pods/prometheus-prometheus-kube-prometheus-prometheus-0 -- sh, and run the prometheus tsdb analysis too.

/prometheus $ promtool tsdb analyze .

Which produced the result.

> Block ID: 01FT8E8YY4THHZ2S7C3G04GJMG
> Duration: 1h59m59.997s
> Series: 564171
> Label names: 285
> Postings (unique label pairs): 21139
> Postings entries (total label pairs): 6423664
>
> ...
>
> Highest cardinality metric names:
> 11340 haproxy_server_http_responses_total
> ...

We see the potential issue here, where the haproxy_server_http_responses_total metric is having a super-high cardinality which is growing. We need to deal with it, so that our prometheus instance can breathe again. In this particular case, the solution was updating the haproxy.

... or burn it, up to you.

Flame Thrower

The Further Reading​

  1. WAL Definition
  2. WAL & Checkpoints
  3. Using TSDB
  4. Biggest Metrics
  5. Cardinality
- - + + \ No newline at end of file diff --git a/blog/tags/search-engine.html b/blog/tags/search-engine.html index 3119946..c1fbe49 100644 --- a/blog/tags/search-engine.html +++ b/blog/tags/search-engine.html @@ -2,22 +2,22 @@ - + One post tagged with "search-engine" | foomo project docs - - - + + +
-

One post tagged with "search-engine"

View All Tags

Jan Halfar

While building this website and integrating https://docsearch.algolia.com and evaluating another solution by a large company in parallel I could not help to search github and the web for the current state of search engines and search related services.

Since I had done the same thing about a year ago, I was surprised to see how quickly things are moving atm.

Algolia​

I was blown away by the quality of https://www.algolia.com and I wish it was open source, but I guess, we all have to make a living ;)

To see how awesome a web (search) interface can be check out https://www.lacoste.com/us/#query=red%20jackets%20for%20men

Apart from that the UI/UX of their backend tools is fantastic.

Elastic​

When it comes to https://www.elastic.com I am a bit nervous about the future of the licensing, despite the fact, that I understand their motivation. At the same time the https://opensearch.org does not seem to be an ampty threat.

typesense.org​

I do not know, who was hiding under a rock, but I had not seen https://typesense.org before and they certainly have a bold claim: "The Open Source Algolia Alternative" / "The Easier To Use ElasticSearch Alternative"

When looking at https://github.com/typesense/typesense/graphs/contributors it seems, that Kishore Nallan has been working on this for a while. Unfourtunately I do not really see a lot of external contributions, C++ does not seem to attract a lot of contribution.

MeiliSearch​

This Rust project https://www.meilisearch.com/ seems to be picking up speed and is definetly on the test short list. It is a fresh codebase with siginficant open source contributions and certainly will attract new developers with Rust and a modern architecture.

Go eco system​

Obviously we are very interested in Go powered software and there are a few notable projects. ATM I do not see anything elastic or algolia like, that would be really mature.

bleve / bluge​

Marty Schoch seems to be the man when it comes down to text indexing libraries in written in Go and bluge seems to be THE library, that is solid and modern, when implementing text search in your Go application.

https://github.com/blevesearch/bleve +

One post tagged with "search-engine"

View All Tags

Jan Halfar

While building this website and integrating https://docsearch.algolia.com and evaluating another solution by a large company in parallel I could not help to search github and the web for the current state of search engines and search related services.

Since I had done the same thing about a year ago, I was surprised to see how quickly things are moving atm.

Algolia​

I was blown away by the quality of https://www.algolia.com and I wish it was open source, but I guess, we all have to make a living ;)

To see how awesome a web (search) interface can be check out https://www.lacoste.com/us/#query=red%20jackets%20for%20men

Apart from that the UI/UX of their backend tools is fantastic.

Elastic​

When it comes to https://www.elastic.com I am a bit nervous about the future of the licensing, despite the fact, that I understand their motivation. At the same time the https://opensearch.org does not seem to be an ampty threat.

typesense.org​

I do not know, who was hiding under a rock, but I had not seen https://typesense.org before and they certainly have a bold claim: "The Open Source Algolia Alternative" / "The Easier To Use ElasticSearch Alternative"

When looking at https://github.com/typesense/typesense/graphs/contributors it seems, that Kishore Nallan has been working on this for a while. Unfourtunately I do not really see a lot of external contributions, C++ does not seem to attract a lot of contribution.

MeiliSearch​

This Rust project https://www.meilisearch.com/ seems to be picking up speed and is definetly on the test short list. It is a fresh codebase with siginficant open source contributions and certainly will attract new developers with Rust and a modern architecture.

Go eco system​

Obviously we are very interested in Go powered software and there are a few notable projects. ATM I do not see anything elastic or algolia like, that would be really mature.

bleve / bluge​

Marty Schoch seems to be the man when it comes down to text indexing libraries in written in Go and bluge seems to be THE library, that is solid and modern, when implementing text search in your Go application.

https://github.com/blevesearch/bleve https://github.com/blugelabs/bluge // next iteration of bleve

projects using bluge​

All bleeding edge afaik atm - but definitely good places to look at bluge usage

https://github.com/prabhatsharma/zinc https://github.com/mosuka/phalanx

Look ma I made a vector database​

Gotta take a look at this one - will report later

https://github.com/semi-technologies/weaviate

- - + + \ No newline at end of file diff --git a/blog/tags/search.html b/blog/tags/search.html index 6092761..ecb9f72 100644 --- a/blog/tags/search.html +++ b/blog/tags/search.html @@ -2,22 +2,22 @@ - + One post tagged with "search" | foomo project docs - - - + + +
-

One post tagged with "search"

View All Tags

Jan Halfar

While building this website and integrating https://docsearch.algolia.com and evaluating another solution by a large company in parallel I could not help to search github and the web for the current state of search engines and search related services.

Since I had done the same thing about a year ago, I was surprised to see how quickly things are moving atm.

Algolia​

I was blown away by the quality of https://www.algolia.com and I wish it was open source, but I guess, we all have to make a living ;)

To see how awesome a web (search) interface can be check out https://www.lacoste.com/us/#query=red%20jackets%20for%20men

Apart from that the UI/UX of their backend tools is fantastic.

Elastic​

When it comes to https://www.elastic.com I am a bit nervous about the future of the licensing, despite the fact, that I understand their motivation. At the same time the https://opensearch.org does not seem to be an ampty threat.

typesense.org​

I do not know, who was hiding under a rock, but I had not seen https://typesense.org before and they certainly have a bold claim: "The Open Source Algolia Alternative" / "The Easier To Use ElasticSearch Alternative"

When looking at https://github.com/typesense/typesense/graphs/contributors it seems, that Kishore Nallan has been working on this for a while. Unfourtunately I do not really see a lot of external contributions, C++ does not seem to attract a lot of contribution.

MeiliSearch​

This Rust project https://www.meilisearch.com/ seems to be picking up speed and is definetly on the test short list. It is a fresh codebase with siginficant open source contributions and certainly will attract new developers with Rust and a modern architecture.

Go eco system​

Obviously we are very interested in Go powered software and there are a few notable projects. ATM I do not see anything elastic or algolia like, that would be really mature.

bleve / bluge​

Marty Schoch seems to be the man when it comes down to text indexing libraries in written in Go and bluge seems to be THE library, that is solid and modern, when implementing text search in your Go application.

https://github.com/blevesearch/bleve +

One post tagged with "search"

View All Tags

Jan Halfar

While building this website and integrating https://docsearch.algolia.com and evaluating another solution by a large company in parallel I could not help to search github and the web for the current state of search engines and search related services.

Since I had done the same thing about a year ago, I was surprised to see how quickly things are moving atm.

Algolia​

I was blown away by the quality of https://www.algolia.com and I wish it was open source, but I guess, we all have to make a living ;)

To see how awesome a web (search) interface can be check out https://www.lacoste.com/us/#query=red%20jackets%20for%20men

Apart from that the UI/UX of their backend tools is fantastic.

Elastic​

When it comes to https://www.elastic.com I am a bit nervous about the future of the licensing, despite the fact, that I understand their motivation. At the same time the https://opensearch.org does not seem to be an ampty threat.

typesense.org​

I do not know, who was hiding under a rock, but I had not seen https://typesense.org before and they certainly have a bold claim: "The Open Source Algolia Alternative" / "The Easier To Use ElasticSearch Alternative"

When looking at https://github.com/typesense/typesense/graphs/contributors it seems, that Kishore Nallan has been working on this for a while. Unfourtunately I do not really see a lot of external contributions, C++ does not seem to attract a lot of contribution.

MeiliSearch​

This Rust project https://www.meilisearch.com/ seems to be picking up speed and is definetly on the test short list. It is a fresh codebase with siginficant open source contributions and certainly will attract new developers with Rust and a modern architecture.

Go eco system​

Obviously we are very interested in Go powered software and there are a few notable projects. ATM I do not see anything elastic or algolia like, that would be really mature.

bleve / bluge​

Marty Schoch seems to be the man when it comes down to text indexing libraries in written in Go and bluge seems to be THE library, that is solid and modern, when implementing text search in your Go application.

https://github.com/blevesearch/bleve https://github.com/blugelabs/bluge // next iteration of bleve

projects using bluge​

All bleeding edge afaik atm - but definitely good places to look at bluge usage

https://github.com/prabhatsharma/zinc https://github.com/mosuka/phalanx

Look ma I made a vector database​

Gotta take a look at this one - will report later

https://github.com/semi-technologies/weaviate

- - + + \ No newline at end of file diff --git a/blog/tags/testing.html b/blog/tags/testing.html index df257a1..6cc9202 100644 --- a/blog/tags/testing.html +++ b/blog/tags/testing.html @@ -2,20 +2,20 @@ - + One post tagged with "testing" | foomo project docs - - - + + +
-

One post tagged with "testing"

View All Tags

Cristian Vidmar
Philipp Mieden

Go has extensive support for concurrency through goroutines and channels. This feature allows programs to progress on several tasks at the same time but it requires some extra care to prevent situations where multiple goroutines might collide and lead to a panic. These are known as race conditions and they happen when a shared variable is read and written at the same time by two different routines. A typical example is a concurrent read/write of a map in memory.

To illustrate an example let's consider gocontentful, the code generator that creates an API to access a Contentful CMS from go. The generated API uses an in-memory cache to store a copy of a Contentful space and some extra data structures to allow go programs to access Contentful data, inspect and resolve references and so on. In a typical scenario, the client is used in a service that responds to HTTP calls and makes heavy use of concurrency because it needs to be able, at the same time, to:

  • Read entries, assets and references from the cache
  • Update/Delete single entities and their connections with others (for example the map of parent entries)
  • Incrementally sync the content of the cache with data changes coming from Contentful
  • Rebuild the cache entirely and swap the existing one with a new copy

In addition, for performance reasons, when the cache is created or rebuilt the gocontentful client spawns up to four goroutines to download chunks of data in parallel across the Internet, dynamically selecting the size the sorting of the chunks to leverage the maximum parallelism.

Detecting race conditions through unit tests​

We experienced race conditions with the client in the past, and we fixed them to maintain it production-ready with every new version. To help with this, we included a testing framework in gocontentful that generates a sample API from a local export of a Contentful space and then runs several unit tests that, among others, test the client for concurrency safety:

make test

One of these unit tests spawns tens of thousands of goroutines to concurrently read, write and inspect the references of specific entries while at the same time keeps rebuilding the cache. From the screenshot above we see that no race condition is shown. Even at this concurrency level, though there's no guarantee that running

go test ./...

will be enough to generate a collision. What we really want to do is to add a new parameter to enable the go race detector with

go test -race ./...

(In gocontentful you can run make race to fire up both the API generation and the race test)

From the documentation at https://go.dev/blog/race-detector:

When the -race command-line flag is set, the compiler instruments all memory accesses with code that records when and how the memory was accessed, while the runtime library watches for unsynchronized accesses to shared variables. When such “racy” behavior is detected, a warning is printed.

Running this in gocontentful shows that we indeed have a potential collision condition:

Race condition

Note: After you run this test you'll want to search for "race" inside the terminal output. Make sure you enable a very long (if not infinite) scrollback or you might miss some hits.

The race detector reports the filenames and lines of code that generated the race condition. Looking at those lines in our example shows that a field of the cache (the "offline" boolean) is written protecting it with a proper mutex lock but the lock handling is missing around the read operation:

Read access

Write access

The fix is very simple but in this particular case the offline flag is read and then a 2 seconds delay is started. Deferring the unlock would keep the variable locked for far too long, so we will read-lock it only for the time needed to copy its value to a local variable:

Fix race condition

After fixing the issue in the generator templates and regenerating the code, the tests with the race detector run fine. In gocontentful this can be done all in one step with make race:

No race condition

Test coverage​

That was nice! But how do we know if we're covering all test cases? Go has been supporting test code coverage since 1.12 through the -cover option. We can also limit the coverage to a specific package. In our case, we're only interested in the testapi sub-package because we want to test the generated API, not the generator itself.

go test -cover -coverpkg=./test/testapi ./...

Let's try and run the tests with coverage:

Basic coverage

The summary shows we are only covering 22% of the code. The goal is not to cover 100%, some parts only work online calling the actual API of a real Contentful space, but we definitely have room for improvement.

The question is: how do we know exactly which lines of code we're covering through the test suite? Again, go test comes to the rescue through another option: -coverprofile lets us specify an output file that will contain references to each single line of code involved in the analysis. It is a text file, but not very readable:

github.com/foom...tapi/gocontentfulvolibproduct.go:21.86,22.15 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:25.2,25.18 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:28.2,29.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:32.2,33.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:36.2,37.37 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:40.2,40.24 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:22.15,24.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:25.18,27.3 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:29.16,31.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:33.16,35.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:37.37,39.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:43.114,44.35 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:47.2,48.18 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:51.2,53.16 3 0
github.com/foom...tapi/gocontentfulvolibproduct.go:56.2,57.16 2 0
...

We can use go tool to convert it to a much better representation in HTML:

go tool cover -html=cover.out -o cover.html

Opening this file in a browser reveals a lot of useful information:

Coverage HTML

At the top left of the page there's a menu where we can select from all the files analyzed, listed along with the percentage of coverage for each one. Inside every file the lines covered by the tests are green while the red ones are not covered. In the example above we can see that the getAllAssets function is covered but it includes an else condition that is never met.

In gocontentful (starting from 1.0.18) we can generate the test API, run the tests with coverage, convert the output file and open it in the browser with a single command:

make cover

As stated above, not necessarily 100% of the code needs to be covered by the tests, but this view in combination with the race detector gives us incredibly useful information to make the code more solid.

- - +

One post tagged with "testing"

View All Tags

Cristian Vidmar
Philipp Mieden

Go has extensive support for concurrency through goroutines and channels. This feature allows programs to progress on several tasks at the same time but it requires some extra care to prevent situations where multiple goroutines might collide and lead to a panic. These are known as race conditions and they happen when a shared variable is read and written at the same time by two different routines. A typical example is a concurrent read/write of a map in memory.

To illustrate an example let's consider gocontentful, the code generator that creates an API to access a Contentful CMS from go. The generated API uses an in-memory cache to store a copy of a Contentful space and some extra data structures to allow go programs to access Contentful data, inspect and resolve references and so on. In a typical scenario, the client is used in a service that responds to HTTP calls and makes heavy use of concurrency because it needs to be able, at the same time, to:

  • Read entries, assets and references from the cache
  • Update/Delete single entities and their connections with others (for example the map of parent entries)
  • Incrementally sync the content of the cache with data changes coming from Contentful
  • Rebuild the cache entirely and swap the existing one with a new copy

In addition, for performance reasons, when the cache is created or rebuilt the gocontentful client spawns up to four goroutines to download chunks of data in parallel across the Internet, dynamically selecting the size the sorting of the chunks to leverage the maximum parallelism.

Detecting race conditions through unit tests​

We experienced race conditions with the client in the past, and we fixed them to maintain it production-ready with every new version. To help with this, we included a testing framework in gocontentful that generates a sample API from a local export of a Contentful space and then runs several unit tests that, among others, test the client for concurrency safety:

make test

One of these unit tests spawns tens of thousands of goroutines to concurrently read, write and inspect the references of specific entries while at the same time keeps rebuilding the cache. From the screenshot above we see that no race condition is shown. Even at this concurrency level, though there's no guarantee that running

go test ./...

will be enough to generate a collision. What we really want to do is to add a new parameter to enable the go race detector with

go test -race ./...

(In gocontentful you can run make race to fire up both the API generation and the race test)

From the documentation at https://go.dev/blog/race-detector:

When the -race command-line flag is set, the compiler instruments all memory accesses with code that records when and how the memory was accessed, while the runtime library watches for unsynchronized accesses to shared variables. When such “racy” behavior is detected, a warning is printed.

Running this in gocontentful shows that we indeed have a potential collision condition:

Race condition

Note: After you run this test you'll want to search for "race" inside the terminal output. Make sure you enable a very long (if not infinite) scrollback or you might miss some hits.

The race detector reports the filenames and lines of code that generated the race condition. Looking at those lines in our example shows that a field of the cache (the "offline" boolean) is written protecting it with a proper mutex lock but the lock handling is missing around the read operation:

Read access

Write access

The fix is very simple but in this particular case the offline flag is read and then a 2 seconds delay is started. Deferring the unlock would keep the variable locked for far too long, so we will read-lock it only for the time needed to copy its value to a local variable:

Fix race condition

After fixing the issue in the generator templates and regenerating the code, the tests with the race detector run fine. In gocontentful this can be done all in one step with make race:

No race condition

Test coverage​

That was nice! But how do we know if we're covering all test cases? Go has been supporting test code coverage since 1.12 through the -cover option. We can also limit the coverage to a specific package. In our case, we're only interested in the testapi sub-package because we want to test the generated API, not the generator itself.

go test -cover -coverpkg=./test/testapi ./...

Let's try and run the tests with coverage:

Basic coverage

The summary shows we are only covering 22% of the code. The goal is not to cover 100%, some parts only work online calling the actual API of a real Contentful space, but we definitely have room for improvement.

The question is: how do we know exactly which lines of code we're covering through the test suite? Again, go test comes to the rescue through another option: -coverprofile lets us specify an output file that will contain references to each single line of code involved in the analysis. It is a text file, but not very readable:

github.com/foom...tapi/gocontentfulvolibproduct.go:21.86,22.15 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:25.2,25.18 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:28.2,29.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:32.2,33.16 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:36.2,37.37 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:40.2,40.24 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:22.15,24.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:25.18,27.3 1 1
github.com/foom...tapi/gocontentfulvolibproduct.go:29.16,31.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:33.16,35.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:37.37,39.3 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:43.114,44.35 1 0
github.com/foom...tapi/gocontentfulvolibproduct.go:47.2,48.18 2 0
github.com/foom...tapi/gocontentfulvolibproduct.go:51.2,53.16 3 0
github.com/foom...tapi/gocontentfulvolibproduct.go:56.2,57.16 2 0
...

We can use go tool to convert it to a much better representation in HTML:

go tool cover -html=cover.out -o cover.html

Opening this file in a browser reveals a lot of useful information:

Coverage HTML

At the top left of the page there's a menu where we can select from all the files analyzed, listed along with the percentage of coverage for each one. Inside every file the lines covered by the tests are green while the red ones are not covered. In the example above we can see that the getAllAssets function is covered but it includes an else condition that is never met.

In gocontentful (starting from 1.0.18) we can generate the test API, run the tests with coverage, convert the output file and open it in the browser with a single command:

make cover

As stated above, not necessarily 100% of the code needs to be covered by the tests, but this view in combination with the race detector gives us incredibly useful information to make the code more solid.

+ + \ No newline at end of file diff --git a/blog/welcome-back-2021.html b/blog/welcome-back-2021.html index 62fb868..749cce1 100644 --- a/blog/welcome-back-2021.html +++ b/blog/welcome-back-2021.html @@ -2,20 +2,20 @@ - + Relaunching foomo.org | foomo project docs - - - + + +
-

Relaunching foomo.org

Jan Halfar

A few years ago we abandoned the previous version of https://www.foomo.org as we did not want to maintain the old wordpress installation and the project was only living in README.md in the repos living under https://www.github.com/foomo .

As things have grown over time we have decided to re-launch a website / cross project documentation.

So welcome back and enjoy the view to the past:

blast from the past

- - +

Relaunching foomo.org

Jan Halfar

A few years ago we abandoned the previous version of https://www.foomo.org as we did not want to maintain the old wordpress installation and the project was only living in README.md in the repos living under https://www.github.com/foomo .

As things have grown over time we have decided to re-launch a website / cross project documentation.

So welcome back and enjoy the view to the past:

blast from the past

+ + \ No newline at end of file diff --git a/blog/why-bundle-size-is-important.html b/blog/why-bundle-size-is-important.html index cd00f69..f4696f7 100644 --- a/blog/why-bundle-size-is-important.html +++ b/blog/why-bundle-size-is-important.html @@ -2,23 +2,23 @@ - + Why bundle size is important? | foomo project docs - - - + + +
-

Why bundle size is important?

Nicola Turcato

Intro​

JavaScript is parsed, compiled and executed in the main thread of the browser. Which means that users have to wait for all of this before they can interact with the website.

Frontend performance optimization is critical because it accounts for around 80-90% of user response time (10-20% backend). +

Why bundle size is important?

Nicola Turcato

Intro​

JavaScript is parsed, compiled and executed in the main thread of the browser. Which means that users have to wait for all of this before they can interact with the website.

Frontend performance optimization is critical because it accounts for around 80-90% of user response time (10-20% backend). So when a user is waiting for a page to load, around 80-90% of the time is due to frontend related code and assets.

Nobody likes waiting…​

A study found that if a site takes longer than 4 seconds to load, up to 25% of users would abandon the site.

Sending large JavaScript payloads impacts the speed of your site significantly.

Mazzarri

What is a "bundle"?​

Your frontend application needs a bunch of JS files to run. These files can be in the format of internal dependency like the JS files you have written yourself. But they can also be external dependencies you use to build your application.

JS bundling is an optimization technique to reduce the number of server requests for JavaScript files. Bundling accomplishes this by merging multiple JA files together into one file to reduce the number of page requests.

Bundle Everywhere

Performance implications​

  • Time to transmit over the network: considering slow connections with some mobile devices, it's possible that your page will not be interactive until it loads.-> More bytes = longer download times
  • JS parse and compile time: more code you load, more the browser must parse.-> JS gets parsed and compiled on the main thread, when the main thread is busy, the page can't respond to user input
  • JS execution time: optimally you will only pack the code that you expect to execute. The more code you want to execute the longer it will take. It's possible that your page won't be interactive until some of this completes.-> JS is also executed on the main thread, if your page runs a lot of code before it's really needed, that also delays your Time to Interactive
  • Memory consumption: everything fills up the space -> code itself, runtime variables, DOM elements created, etc.-> Pages appear slow when it consumes a lot of memory. Memory leaks can cause your page to freeze up completely!!

AS SMALL AS POSSIBLE! I experienced that is not really possible to give a precise answer because each application is different. Generally you want the resources on initial load to be as small as possible, so that you decrease the initial load time, and then load more resources as needed on the fly.

Mr Chao

What do we do then?​

Meh

How to start decreasing the bundle size?​

  • Measure: first of all you want to measure. The first step is to use Lighthouse and try to understand the results. It will give you a couple of interesting metrics and some tips. Time to interactive (TTI) is a good reflection of your bundle size because your bundle needs to be evaluated entirely before a user can interact with your web app.
  • Analyze: Consists on analyzing the bundle in order to detect critical chunks. A useful tool is Webpack Bundle Analyzer.

Stonks

Breaking up the bundle...​

  • Monitor network requests: These happens between our FCP and TTI. As the initial request for data often occurs when our components initially mount.
  • Reduce the total dom nodes: the less the page needs to render, the less time it takes.
  • Moving work off the main thread: By moving heavy computations to a web worker, the computation will be run on a separate thread, and not block the actual rendering of the page
  • Caching: Even if not useful for users on first page landing, caching data, bundles, and assets can make subsequent visits way fast

Breaking Bad

Which strategies can we adopt?​

  • Minification and Dead Code Elimination: These processes are often summed up as minifying or uglifying.
  • Tree shaking: Tree shaking is dead code elimination on a project or library. Always try to use deps which support “tree shaking”, Bundlephobia could be your friend in this case.
  • Code Splitting and Lazy Loading: Code splitting consists on taking a collection of modules and remove them from the main JS bundle. Lazy loading means we can load this newly created bundle later on.
  • Replace/rewrite large dependencies: Consider replacing or rewriting libraries that are large in size where you might not need all of its functionalities (Moment.js for example).
  • Feature module import: Check to see if you are using only a feature module of the library that can be imported alone without importing the whole library (Lodash for example).

Strategy

Useful tools to help you reducing bundle size​

  • Lighthouse: automated tool for improving the performance, quality, and correctness of your web apps
  • Bundlephobia: Bundlephobia helps you find the performance impact of npm packages
  • Webpack Bundle Analyzer: analyzes your bundle
  • VS Code: Import Cost plugin -> Display import/require package size in the editor

Tools

Conclusion​

Performance cannot be stripped down to a single metric such as bundle size. It would be great! Unfortunately there is no single place to measure all of them.I think metrics like the Core Web Vitals and a general look at bundle size should be considered as a starting point. You will cry... A lot... But don’t give up!

The End

- - + + \ No newline at end of file diff --git a/docs/backend.html b/docs/backend.html index afd82a7..60478e4 100644 --- a/docs/backend.html +++ b/docs/backend.html @@ -2,21 +2,20 @@ - -Backend Guide | foomo project docs + +Backend Guide | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/backend/go-by-example/cli-applications.html b/docs/backend/go-by-example/cli-applications.html index 50bf2bd..bb32314 100644 --- a/docs/backend/go-by-example/cli-applications.html +++ b/docs/backend/go-by-example/cli-applications.html @@ -2,22 +2,22 @@ - + CLI applications | foomo project docs - - - + + +
-

CLI applications

The following example has some modifications in order to run in the playground. The Go Playground does not allow flags to be passed so it's recommended you +

CLI applications

The following example has some modifications in order to run in the playground. The Go Playground does not allow flags to be passed so it's recommended you copy the code, uncomment the flag validations, and try it out locally.

... loading sources

-
- - +
+ + \ No newline at end of file diff --git a/docs/backend/go-by-example/context.html b/docs/backend/go-by-example/context.html index 76340a3..dc1c69a 100644 --- a/docs/backend/go-by-example/context.html +++ b/docs/backend/go-by-example/context.html @@ -2,24 +2,24 @@ - + Context | foomo project docs - - - + + +
-

Context

The context package in go provides a way for request-scoped values to be passed between all goroutines that are involved in handling a request. +

Context

The context package in go provides a way for request-scoped values to be passed between all goroutines that are involved in handling a request. Context also provides a way to set certain rules like how long a process can run before you automatically cancel it. A common way context is used is for handling HTTP requests. The context package defines the Context type which has the following methods:

  • Done()
    • This returns a read-only channel which automatically closes when the context is canceled or when the context times out.
  • Deadline()
    • This returns both a deadline, which represents the time that the context will be canceled at or closed at, as well as a boolean that tells you if a deadline is set for this context.
  • Err()
    • This returns an error explaining why the Done() channel was closed or nil if the Done() channel was not closed.
  • Value(key interface{})
    • This returns the value stored for the passed key or nil if the key is not present.
... loading sources

-
- - +
+ + \ No newline at end of file diff --git a/docs/backend/go-by-example/defer.html b/docs/backend/go-by-example/defer.html index cf32210..b96c41a 100644 --- a/docs/backend/go-by-example/defer.html +++ b/docs/backend/go-by-example/defer.html @@ -2,27 +2,27 @@ - + Defer | foomo project docs - - - + + +
-

Defer

In a normal Go application, control flows from the top to the bottom of any function that we call (this is if you don't use branching or looping). -Through introducing defer we can execute the statement passed to it at the end of the function just before it returns. To demonstrate:

package main

import (
    "fmt"
)

func main() {
    fmt.Println("first")
    fmt.Println("second")
    fmt.Println("third")
}

If you copy the above code and execute it it will print 'first', 'second' and then 'third'. Now if we introduce defer to this function we see the order in which our statements are printed change.

func main() {
    fmt.Println("first")
    defer fmt.Println("second")
    fmt.Println("third")
}

Executing this function will print: 'first', 'third' and then 'second'. This is because the statement that follows after the defer keyword is executed at the end of function we are calling, just before it returns. +

Defer

In a normal Go application, control flows from the top to the bottom of any function that we call (this is if you don't use branching or looping). +Through introducing defer we can execute the statement passed to it at the end of the function just before it returns. To demonstrate:

package main

import (
    "fmt"
)

func main() {
    fmt.Println("first")
    fmt.Println("second")
    fmt.Println("third")
}

If you copy the above code and execute it it will print 'first', 'second' and then 'third'. Now if we introduce defer to this function we see the order in which our statements are printed change.

func main() {
    fmt.Println("first")
    defer fmt.Println("second")
    fmt.Println("third")
}

Executing this function will print: 'first', 'third' and then 'second'. This is because the statement that follows after the defer keyword is executed at the end of function we are calling, just before it returns. When it goes through this function if will print 'first', then it will recognise it has a defer function to call, it will print 'third' and then when it exits the function, it will check if there are any defer functions to call and if so it will call them. Which in our case is the print function that prints 'second'. -What would happen if we add the defer keyword before each of our prints?

func main() {
    defer fmt.Println("first")
    defer fmt.Println("second")
    defer fmt.Println("third")
}

This results into 'third' being printed first, followed by 'second' and then 'first'. This is because the defer keyword executes in last-in-first-out (LIFO) order. +What would happen if we add the defer keyword before each of our prints?

func main() {
    defer fmt.Println("first")
    defer fmt.Println("second")
    defer fmt.Println("third")
}

This results into 'third' being printed first, followed by 'second' and then 'first'. This is because the defer keyword executes in last-in-first-out (LIFO) order. This makes sense because defer is usually used to close out resources, and it is logical to close these in the opposite order of which they are opened because one resource might be dependend on another one.

It's good practice to use defer to close a response body right after you have opened it. In this way you make sure all resources that have been opened have been closed and in this way it can prevent some bugs. -What you will see often is something like this:

func main() {
    resp, err := http.Get("http://www.foomo.org")
    if err != nil {
        log.Fatal(err)
    }
    defer resp.Body.Close()
}

You open a resource, check if there is an error and after it use defer to close it before the function returns.

Another thing to keep in mind with defer is that it will execute with the value given to it at the time. To demonstrate:

func main() {
    myVar := "hello"
    defer fmt.Println(myVar)
    myVar = "goodbye"
}

What do you think this prints? You might think it will print 'goodbye' because that is the last value of the variable before the main function returns. -Surprisingly the value printed is 'hello', which is likely the result of a compiler optimization.

- - +What you will see often is something like this:

func main() {
    resp, err := http.Get("http://www.foomo.org")
    if err != nil {
        log.Fatal(err)
    }
    defer resp.Body.Close()
}

You open a resource, check if there is an error and after it use defer to close it before the function returns.

Another thing to keep in mind with defer is that it will execute with the value given to it at the time. To demonstrate:

func main() {
    myVar := "hello"
    defer fmt.Println(myVar)
    myVar = "goodbye"
}

What do you think this prints? You might think it will print 'goodbye' because that is the last value of the variable before the main function returns. +Surprisingly the value printed is 'hello', which is likely the result of a compiler optimization.

+ + \ No newline at end of file diff --git a/docs/backend/go-by-example/embed.html b/docs/backend/go-by-example/embed.html index ffbf388..40811b9 100644 --- a/docs/backend/go-by-example/embed.html +++ b/docs/backend/go-by-example/embed.html @@ -2,20 +2,20 @@ - + Embed | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/backend/go-by-example/files.html b/docs/backend/go-by-example/files.html index 75ca2cb..0f70729 100644 --- a/docs/backend/go-by-example/files.html +++ b/docs/backend/go-by-example/files.html @@ -2,31 +2,31 @@ - + Files | foomo project docs - - - + + +
-

Files

There are multiple packages we can utilize for reading files in a go program. We'll go over the most commonly used ones in this section. -These include: os, io, ioutil and bufio. We'll go over some commonly used methods for each of these packages in this section.

IOUtil​

Read Whole File​

To read a whole file you can use the ReadFile function.

// Takes a filepath as argument
// Returns a byteslice and an error
byteslice, err := ioutil.ReadFile(filepath)

OS​

The os package provides and interface with methods to handle files on your operating system in go.

Open Files​

To open a file using the os package, use the Open method. This method takes a filepath and returns the opened file and an error.

file, err := os.Open(filepath)

Reading Files​

To read a file using the os package, use the ReadFile method. This method takes a filepath and returns the contents of the file in a byteslice and an error.

byteslice, err := os.ReadFile(filepath)

Writing Files​

Getting File Information​

To get information about a file using the os package, use the Stat method. This method takes a filepath and information of the selected file and an error. +

Files

There are multiple packages we can utilize for reading files in a go program. We'll go over the most commonly used ones in this section. +These include: os, io, ioutil and bufio. We'll go over some commonly used methods for each of these packages in this section.

IOUtil​

Read Whole File​

To read a whole file you can use the ReadFile function.

// Takes a filepath as argument
// Returns a byteslice and an error
byteslice, err := ioutil.ReadFile(filepath)

OS​

The os package provides and interface with methods to handle files on your operating system in go.

Open Files​

To open a file using the os package, use the Open method. This method takes a filepath and returns the opened file and an error.

file, err := os.Open(filepath)

Reading Files​

To read a file using the os package, use the ReadFile method. This method takes a filepath and returns the contents of the file in a byteslice and an error.

byteslice, err := os.ReadFile(filepath)

Writing Files​

Getting File Information​

To get information about a file using the os package, use the Stat method. This method takes a filepath and information of the selected file and an error. This information includes methods: Name() to get the name of the file, Size() to get the size the file in bytes, Mode() to get the mode of the file, -IsDir() to find out if it is a directory, ModTime() showing when the file was last modified, and Sys() describing the underlying data source.

fileInfo, err := os.Stat(filepath)

BufIO​

Sometimes opening a whole file is not ideal, this is for example when you have a very large log file. All of it is going to be opened in memory. +IsDir() to find out if it is a directory, ModTime() showing when the file was last modified, and Sys() describing the underlying data source.

fileInfo, err := os.Stat(filepath)

BufIO​

Sometimes opening a whole file is not ideal, this is for example when you have a very large log file. All of it is going to be opened in memory. For these cases you can buffer the IO, this can increase the speed of your application by reducing the number of system calls made. -Bufio provides ways to read by the file in batches. Commonly used methods in the bufIO package include: Scanner, ReadSlice,ReadBytes and ReadLines.

Scanner​

Breaks the data up in tokens. Open the file with the os Open function and pass the reader to the NewScanner function. This will return a pointer to a Scanner.

myScanner =  bufio.NewScanner(myIOReader)

ReadSlice​

This function returns a slice of the passed string based on the delimiter you pass it. +Bufio provides ways to read by the file in batches. Commonly used methods in the bufIO package include: Scanner, ReadSlice,ReadBytes and ReadLines.

Scanner​

Breaks the data up in tokens. Open the file with the os Open function and pass the reader to the NewScanner function. This will return a pointer to a Scanner.

myScanner =  bufio.NewScanner(myIOReader)

ReadSlice​

This function returns a slice of the passed string based on the delimiter you pass it. It will return every slice with the delimiter. To call it initialize a new reader with the specified string and pass the ReadSlice method a delimiter.

... loading sources

ReadBytes​

ReadBytes builds on the ReadSlice functionality and is called in a similar fashion. The difference is that ReadSlice is bound to a buffersize, if it does not reach the delimiter within that size it will fail. ReadBytes is able to call ReadSlice multiple times which means that if you go over the buffersize it won't encounter a problem. To demonstrate:

... loading sources

Examples​

Read Lines​

The following code provides a way to read lines from a file. It uses the os package to open the file and then bufio to create a scanner -that reads the file line by line.

package main

import (
    "fmt"
    "os"
    "bufio"
)

func main() {

    file, err := os.Open(filepath)
        if err != nil {
            fmt.Println("Error:", err.Error())
            return
        }
        defer os.Close() // Make sure to always close your resources

    scanner := bufio.NewScanner(file)
    for scanner.Scan() { // returns a boolean, so until the end of the file is reached this loop will run
        fmt.Println(scanner.Text())
    }
}

Read Bytes​

package main

import (
    "fmt"
    "os"
    "bufio"
    "io"
)

func main() {

    fileHandler, err := os.Open(filename)
        if err != nil {
            fmt.Println("Error:", err.Error())
            return
        }
        defer os.Close() // Make sure to always close your resources


    myBuffer := make([]byte, size) // Make a buffer with size of size
    for { 
        readBytes, err := fileHandler.Read(buf) 
        if err != nil {
            if err != io.EOF {
                fmt.Println("Error:", err.Error())
                return
            }
            break
        }

        fmt.Println(string(myBuffer[:readBytes]))
    }
}
- - +that reads the file line by line.

package main

import (
    "fmt"
    "os"
    "bufio"
)

func main() {

    file, err := os.Open(filepath)
        if err != nil {
            fmt.Println("Error:", err.Error())
            return
        }
        defer os.Close() // Make sure to always close your resources

    scanner := bufio.NewScanner(file)
    for scanner.Scan() { // returns a boolean, so until the end of the file is reached this loop will run
        fmt.Println(scanner.Text())
    }
}

Read Bytes​

package main

import (
    "fmt"
    "os"
    "bufio"
    "io"
)

func main() {

    fileHandler, err := os.Open(filename)
        if err != nil {
            fmt.Println("Error:", err.Error())
            return
        }
        defer os.Close() // Make sure to always close your resources


    myBuffer := make([]byte, size) // Make a buffer with size of size
    for { 
        readBytes, err := fileHandler.Read(buf) 
        if err != nil {
            if err != io.EOF {
                fmt.Println("Error:", err.Error())
                return
            }
            break
        }

        fmt.Println(string(myBuffer[:readBytes]))
    }
}
+ + \ No newline at end of file diff --git a/docs/backend/go-by-example/goroutines-and-channels.html b/docs/backend/go-by-example/goroutines-and-channels.html index fa63586..ee52bf4 100644 --- a/docs/backend/go-by-example/goroutines-and-channels.html +++ b/docs/backend/go-by-example/goroutines-and-channels.html @@ -2,31 +2,31 @@ - + Go Routines and Channels | foomo project docs - - - + + +
-

Go Routines and Channels

Go Routines​

Go routines are go's mechanism to run code concurrently. +

Go Routines and Channels

Go Routines​

Go routines are go's mechanism to run code concurrently. To create a goroutine we use the keyword go followed by a function invocation. When you fork off a function by adding the go keyword before it, it will run asynchronous. So it might be the case that your main function returns before the routine is done executing

... loading sources

If you run this example you see that sometimes the statements in the go routines are printed out but other times they are not.

Go follows a fork-join concurrency model. Go routines are forked off the main function and the main function will continue to run. In go you are responsible for implementing the join point. In the example we saw earlier we did not implement a join point. That means we did not sync our go routines up with the main function and therefore a lot of times you did not see our statements being printed out.

Channels​

Typically you will use a channel to communicate between go routines. We can have go routines reference the same place in memory where a channel resides to be able to communicate with each other. This is a common way to implement a join point.

A channel follows a First-In-First-Out (FIFO) structure. So the information you first write to the channel will be the first information to be read out from the channel. -Since the main function is a go routine as well it can also communicate with its child go routines through channels.

Unbuffered Channels​

To make an unbuffered go channel call make with chan and specify the type of channel you want.

func main() {
    myChannel := make(chan string) // unbuffered channel of type string
}

To specify which function is writing and which function is reading from the channel we use arrows: <-

func main() {
    myChannel := make(chan string) // unbuffered channel of type string

    go func() {
        myChannel <- "I am always being printed now" // write to channel
    }()

    data := <- myChannel // read from the channel and store it in data variable
    fmt.Println(data)
}

Unbuffered channels only allow go routines to communicate synchronously. This is because the go routine that sends the data to the unbuffered channel will +Since the main function is a go routine as well it can also communicate with its child go routines through channels.

Unbuffered Channels​

To make an unbuffered go channel call make with chan and specify the type of channel you want.

func main() {
    myChannel := make(chan string) // unbuffered channel of type string
}

To specify which function is writing and which function is reading from the channel we use arrows: <-

func main() {
    myChannel := make(chan string) // unbuffered channel of type string

    go func() {
        myChannel <- "I am always being printed now" // write to channel
    }()

    data := <- myChannel // read from the channel and store it in data variable
    fmt.Println(data)
}

Unbuffered channels only allow go routines to communicate synchronously. This is because the go routine that sends the data to the unbuffered channel will go into a waiting state once it has sent the data, until this data is read by the receiving go routine. -So until the data is read of the channel this go routine is blocked.

Buffered Channels​

You can set a limit on the capacity of a channel by passing the limit to the make function:

func main() {
    myChannel := make(chan string, 5)
}

To demonstrate how an unbuffered channel only allows for synchronous communication consider the following example:

... loading sources

+So until the data is read of the channel this go routine is blocked. 
Buffered Channels​
You can set a limit on the capacity of a channel by passing the limit to the make function:
func main() {
    myChannel := make(chan string, 5)
}
To demonstrate how an unbuffered channel only allows for synchronous communication consider the following example:
... loading sources

 
You see that even though we made both go routines wait when the channel was read, the go routine using the buffered channel printed out all of the statements at once.
-And the go routine using the unbuffered channel had to wait each time until the channel was read out to be able to continue singing the greatest song of all time.
- - +And the go routine using the unbuffered channel had to wait each time until the channel was read out to be able to continue singing the greatest song of all time.

+ + \ No newline at end of file diff --git a/docs/backend/go-by-example/http.html b/docs/backend/go-by-example/http.html index fd7ed12..30c9003 100644 --- a/docs/backend/go-by-example/http.html +++ b/docs/backend/go-by-example/http.html @@ -2,22 +2,22 @@ - + HTTP Client and Server | foomo project docs - - - + + +
-

HTTP Client and Server

The HTTP protocol is used to communicate between Client and Server. The net/http package provides all methods needed to implement a client and -a server and the most commonly used request methods.

The most commonly used request methods are:

  • GET:
    • This method is used to request data from the server or specified source. Used for fetching data.
  • POST:
    • This method is used to send a request with data in the body to a server. Used for creating data.
  • PATCH:
    • This method is used to partially update an existing data entry.
  • PUT:
    • This method is used to entirely update an existing data entry.

HTTP Client​

The HTTP Client consumes the API, it sends a request to the HTTP Server. The following code shows an example for all the commonly used HTTP requests.


// GET Requests: Pass the URL to request the data from.
// Returns a response and an error.
resp, err := http.Get("https://foomo.org") 

// Post Requests: Pass the URL to post data to, specify the content type of the data, 
// and pass the body containing the data of the request.
// Returns a response and an error.
resp, err := http.Post("https://foomo.org", "application/json", body)

// PATCH Requests, specify it's a PATCH request, pass the URL to request, 
// and the body containing the data of the request.
// Returns a response and an error.
resp, err := http.NewRequest(http.MethodPatch, "https://foomo.org", body) 

// PUT Requests, specify it's a PUT request, pass the URL to request,
// and the body containing the data of the request.
// Returns a response and an error.
resp, err := http.NewRequest(http.MethodPut, "https://foomo.org", body)

HTTP Server​

the HTTP Server accepts API calls from a Client. Handlers are a fundamental concept in the net/http package. -They are your way of basically telling how a request is supposed to be handled. Handler functions always take a ResponseWriter and a pointer to a Request as argument:

func myHandler(w http.ResponseWriter, req *http.Request) {
    ...
}

In the main function of your server you register all the handlers implemented and serve them on a specified port:

func main () {

    http.HandleFunc("/myPage", myHandler) // specify the path and the handler function

    http.ListenAndServe(":8000", nil) // specify the port and the router, which is the default router in this case.
}

RESTful​

- - +

HTTP Client and Server

The HTTP protocol is used to communicate between Client and Server. The net/http package provides all methods needed to implement a client and +a server and the most commonly used request methods.

The most commonly used request methods are:

  • GET:
    • This method is used to request data from the server or specified source. Used for fetching data.
  • POST:
    • This method is used to send a request with data in the body to a server. Used for creating data.
  • PATCH:
    • This method is used to partially update an existing data entry.
  • PUT:
    • This method is used to entirely update an existing data entry.

HTTP Client​

The HTTP Client consumes the API, it sends a request to the HTTP Server. The following code shows an example for all the commonly used HTTP requests.


// GET Requests: Pass the URL to request the data from.
// Returns a response and an error.
resp, err := http.Get("https://foomo.org") 

// Post Requests: Pass the URL to post data to, specify the content type of the data, 
// and pass the body containing the data of the request.
// Returns a response and an error.
resp, err := http.Post("https://foomo.org", "application/json", body)

// PATCH Requests, specify it's a PATCH request, pass the URL to request, 
// and the body containing the data of the request.
// Returns a response and an error.
resp, err := http.NewRequest(http.MethodPatch, "https://foomo.org", body) 

// PUT Requests, specify it's a PUT request, pass the URL to request,
// and the body containing the data of the request.
// Returns a response and an error.
resp, err := http.NewRequest(http.MethodPut, "https://foomo.org", body)

HTTP Server​

the HTTP Server accepts API calls from a Client. Handlers are a fundamental concept in the net/http package. +They are your way of basically telling how a request is supposed to be handled. Handler functions always take a ResponseWriter and a pointer to a Request as argument:

func myHandler(w http.ResponseWriter, req *http.Request) {
    ...
}

In the main function of your server you register all the handlers implemented and serve them on a specified port:

func main () {

    http.HandleFunc("/myPage", myHandler) // specify the path and the handler function

    http.ListenAndServe(":8000", nil) // specify the port and the router, which is the default router in this case.
}

RESTful​

+ + \ No newline at end of file diff --git a/docs/backend/go-by-example/interfaces.html b/docs/backend/go-by-example/interfaces.html index cb8b284..111df44 100644 --- a/docs/backend/go-by-example/interfaces.html +++ b/docs/backend/go-by-example/interfaces.html @@ -2,22 +2,22 @@ - + Interfaces | foomo project docs - - - + + +
-

Interfaces

In go you can define a type using a set of methods by using the interface keyword. 

type instrumentSounds interface {
    makeBand() string
}

So this is our instrumentSounds interface which calls a function makeBand. 

... loading sources

-

The Empty Interface​

An empty interface can hold values that satisfy any type. It's commonly used in code when the values types are unknown.


func main() {
    var myInterface interface{}

    myInterface = 300

    fmt.Println(myInterface)

    myInterface = "Hello world"

    fmt.Println(myInterface)
}

Even though the type is changed this program will still work fine because myInterface is an empty interface so it could be of any type. -In the latest of go the any type is supported, which is simply a type alias to the empty interface, and equivalent in all ways.

- - +

Interfaces

In go you can define a type using a set of methods by using the interface keyword. 

type instrumentSounds interface {
    makeBand() string
}

So this is our instrumentSounds interface which calls a function makeBand. 

... loading sources

+

The Empty Interface​

An empty interface can hold values that satisfy any type. It's commonly used in code when the values types are unknown.


func main() {
    var myInterface interface{}

    myInterface = 300

    fmt.Println(myInterface)

    myInterface = "Hello world"

    fmt.Println(myInterface)
}

Even though the type is changed this program will still work fine because myInterface is an empty interface so it could be of any type. +In the latest of go the any type is supported, which is simply a type alias to the empty interface, and equivalent in all ways.

+ + \ No newline at end of file diff --git a/docs/backend/go-by-example/map-racing.html b/docs/backend/go-by-example/map-racing.html index 813de3e..485f12a 100644 --- a/docs/backend/go-by-example/map-racing.html +++ b/docs/backend/go-by-example/map-racing.html @@ -2,20 +2,20 @@ - + Map Races | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/backend/go-by-example/mongodb.html b/docs/backend/go-by-example/mongodb.html index 4b64a03..f471986 100644 --- a/docs/backend/go-by-example/mongodb.html +++ b/docs/backend/go-by-example/mongodb.html @@ -2,21 +2,21 @@ - + MongoDB | foomo project docs - - - + + +
-

MongoDB

Make sure to use the official golang mongo driver:

go.mongodb.org/mongo-driver/mongo

This documentation is a simplified version of the tutorial on MongoDB's website

Set client connections​

clientOptions := options.Client().ApplyURI(<MongoDB-database-URI>)

Connect with the database​

client, err := mongo.Connect(context.TODO(), clientOptions)

Check connection​

err = client.Ping(context.TODO(), nil)

A collection is a grouping of MongoDB documents. Documents within a collection can have different fields. A collection is the equivalent of a table in a relational database system. A collection exists within a single database

source: Geeks for Geeks https://www.geeksforgeeks.org/mongodb-database-collection-and-document/

JSON documents in MongoDB are stored in a binary representation called BSON (Binary-encoded JSON). Unlike other databases that store JSON data as simple strings and numbers, the BSON encoding extends the JSON representation to include additional types such as int, long, date, floating point, and decimal128. This makes it much easier for applications to reliably process, sort, and compare data. The Go Driver has two families of types for representing BSON data: The D types and the Raw types. -The D family of types is used to concisely build BSON objects using native Go types:

  • D: A BSON document. This type should be used in situations where order matters, such as MongoDB commands.
  • M: An unordered map. It is the same as D, except it does not preserve order.
  • A: A BSON array.
  • E: A single element inside a D.

You use filters to get the specific data you ask for.

CRUD Operations​

Insert one item​

insertResult, err := collection.InsertOne(context.TODO(), <item>)

Insert Many​

this takes a slice of objects

my-slice := []interface{}{item1, item2}
insertManyResult, err := collection.InsertMany(context.TODO(), my-slice)

Update a single document​

Requires a filter document to match documents in the database and an update document to describe the update operation.

filter := bson.D{{"name", “item1”}}
update := bson.D{
    {"$inc", bson.D{ // Increases var1 with 1
        {“var1”, 1},
    }},
}
updateResult, err := collection.UpdateOne(context.TODO(), filter, update)

Find a single document​

Requires a filter document and a pointer to a value into which the result can be decoded, returns a single result which can be decoded into a value.

var item_result Item // value into which the result can be decoded
err = collection.FindOne(context.TODO(), filter).Decode(&result)

Find multiple documents​

This method returns a Cursor. A Cursor provides a stream of documents through which you can iterate and decode one at a time. Once a Cursor has been exhausted, you should close the Cursor.

findOptions := options.Find()
var results []*Item
cur, err := collection.Find(context.TODO(), bson.D{{}}, findOptions)
for cur.Next(context.TODO()) {
    var elem Item
    err := cur.Decode(&elem)
    if err != nil {
        log.Fatal(err)
    }
    results = append(results, &elem)
} 
cur.Close(context.TODO())

Delete documents​

You can choose to use collection.DeleteOne() or collection.DeleteMany(), both take a filter document to match the documents in the collection.

deleteResult, err := collection.DeleteMany(context.TODO(), bson.D{{}})

Close connection​

Best to keep connection open if you have to do multiple things. It does not make sense to open and close a connection if you have to query the database multiple times.

err = client.Disconnect(context.TODO())
- - +

MongoDB

Make sure to use the official golang mongo driver:

go.mongodb.org/mongo-driver/mongo

This documentation is a simplified version of the tutorial on MongoDB's website

Set client connections​

clientOptions := options.Client().ApplyURI(<MongoDB-database-URI>)

Connect with the database​

client, err := mongo.Connect(context.TODO(), clientOptions)

Check connection​

err = client.Ping(context.TODO(), nil)

A collection is a grouping of MongoDB documents. Documents within a collection can have different fields. A collection is the equivalent of a table in a relational database system. A collection exists within a single database

source: Geeks for Geeks https://www.geeksforgeeks.org/mongodb-database-collection-and-document/

JSON documents in MongoDB are stored in a binary representation called BSON (Binary-encoded JSON). Unlike other databases that store JSON data as simple strings and numbers, the BSON encoding extends the JSON representation to include additional types such as int, long, date, floating point, and decimal128. This makes it much easier for applications to reliably process, sort, and compare data. The Go Driver has two families of types for representing BSON data: The D types and the Raw types. +The D family of types is used to concisely build BSON objects using native Go types:

  • D: A BSON document. This type should be used in situations where order matters, such as MongoDB commands.
  • M: An unordered map. It is the same as D, except it does not preserve order.
  • A: A BSON array.
  • E: A single element inside a D.

You use filters to get the specific data you ask for.

CRUD Operations​

Insert one item​

insertResult, err := collection.InsertOne(context.TODO(), <item>)

Insert Many​

this takes a slice of objects

my-slice := []interface{}{item1, item2}
insertManyResult, err := collection.InsertMany(context.TODO(), my-slice)

Update a single document​

Requires a filter document to match documents in the database and an update document to describe the update operation.

filter := bson.D{{"name", “item1”}}
update := bson.D{
    {"$inc", bson.D{ // Increases var1 with 1
        {“var1”, 1},
    }},
}
updateResult, err := collection.UpdateOne(context.TODO(), filter, update)

Find a single document​

Requires a filter document and a pointer to a value into which the result can be decoded, returns a single result which can be decoded into a value.

var item_result Item // value into which the result can be decoded
err = collection.FindOne(context.TODO(), filter).Decode(&result)

Find multiple documents​

This method returns a Cursor. A Cursor provides a stream of documents through which you can iterate and decode one at a time. Once a Cursor has been exhausted, you should close the Cursor.

findOptions := options.Find()
var results []*Item
cur, err := collection.Find(context.TODO(), bson.D{{}}, findOptions)
for cur.Next(context.TODO()) {
    var elem Item
    err := cur.Decode(&elem)
    if err != nil {
        log.Fatal(err)
    }
    results = append(results, &elem)
} 
cur.Close(context.TODO())

Delete documents​

You can choose to use collection.DeleteOne() or collection.DeleteMany(), both take a filter document to match the documents in the collection.

deleteResult, err := collection.DeleteMany(context.TODO(), bson.D{{}})

Close connection​

Best to keep connection open if you have to do multiple things. It does not make sense to open and close a connection if you have to query the database multiple times.

err = client.Disconnect(context.TODO())
+ + \ No newline at end of file diff --git a/docs/backend/go-by-example/nil-maps.html b/docs/backend/go-by-example/nil-maps.html index d02057e..e353eb0 100644 --- a/docs/backend/go-by-example/nil-maps.html +++ b/docs/backend/go-by-example/nil-maps.html @@ -2,27 +2,27 @@ - + Maps | foomo project docs - - - + + +
-

Maps

Maps are unordered key value pairs where each key is unique. +

Maps

Maps are unordered key value pairs where each key is unique. Unordered in that context means that the order can be different every time you iterate over its contents. You can add, update, get, or delete keys and values.

Map lookup operations will always return the value for the requested key and a boolean indicated whether the key was found. -In case the key was not found, the value will the default value for its data type (eg false for booleans, empty string for strings, nil for pointers etc)

    musicMap := make(map[string]string)

    musicMap["Jimi"] = "Hendrix" // Add key and value pair
    musicMap["Jimi"] = "Hendrix ❤️" // Update value

    v, found := musicMap["Jimi"] // Get a value for an existing key, will return found==true
    v, found := musicMap["Jimmy"] // Get value for a non existing key: will return found==false

    delete(musicMap, "Jimi") // Deletes Jimi key value pair

What you should now about nil maps​

Consider the following two maps:

    var map1 map[string]int
    map2 := make(map[string]int)

What is the difference between these two? If you will add keys to one of them the program will panic while you can add keys +In case the key was not found, the value will the default value for its data type (eg false for booleans, empty string for strings, nil for pointers etc)

    musicMap := make(map[string]string)

    musicMap["Jimi"] = "Hendrix" // Add key and value pair
    musicMap["Jimi"] = "Hendrix ❤️" // Update value

    v, found := musicMap["Jimi"] // Get a value for an existing key, will return found==true
    v, found := musicMap["Jimmy"] // Get value for a non existing key: will return found==false

    delete(musicMap, "Jimi") // Deletes Jimi key value pair

What you should now about nil maps​

Consider the following two maps:

    var map1 map[string]int
    map2 := make(map[string]int)

What is the difference between these two? If you will add keys to one of them the program will panic while you can add keys without a problem to the other. Map1 is a nil map, because it has not been initialized. Map2 is an empty map but because it is initialized with the make statement you can add elements to this map later on in your program. Nil maps could for example be used for structs that have optional data. In that case we don't want to allocate them every time, only when the data is present.


While you can not add elements to a nil map, read operations work just fine. Try it out yourself in the following example:

... loading sources

-
- - +
+ + \ No newline at end of file diff --git a/docs/backend/go-by-example/panic-and-recover.html b/docs/backend/go-by-example/panic-and-recover.html index 7b46559..719659c 100644 --- a/docs/backend/go-by-example/panic-and-recover.html +++ b/docs/backend/go-by-example/panic-and-recover.html @@ -2,24 +2,24 @@ - + Panic and Recover | foomo project docs - - - + + +
-

Panic and Recover

Panic​

panic is used whenever our application can no longer function. In Go it's mostly left up to the developer to decide when an error is a problem in your application. -panic helps you tell your program it encountered a fatal problem which can not be recovered. Panic always prints a stack trace to help locate the problematic line of code.

Panic and Defer​

func main() {
    fmt.Println("Start")
    defer fmt.Println("Deferred")
    panic("Panic")
    fmt.Println("End")
}

The above code will print: 'Start', 'Deferred' and then 'Panic'. This is because defer statements will always be executed even in case of a panic. +

Panic and Recover

Panic​

panic is used whenever our application can no longer function. In Go it's mostly left up to the developer to decide when an error is a problem in your application. +panic helps you tell your program it encountered a fatal problem which can not be recovered. Panic always prints a stack trace to help locate the problematic line of code.

Panic and Defer​

func main() {
    fmt.Println("Start")
    defer fmt.Println("Deferred")
    panic("Panic")
    fmt.Println("End")
}

The above code will print: 'Start', 'Deferred' and then 'Panic'. This is because defer statements will always be executed even in case of a panic. So the order of execution is: Execute called function, then execute defer statements, and in case of a panic program execution will stop. So even if your application will panic defer statements are handled and therefore resources will be closed accordingly.

Panic and Recover​

Try out the following example: 

... loading sources

-
The function that panics will stop because it can no longer function so we don't see 'Is this printed?' printed. The recover function makes it possible to obtain the error in case a panic occurred, and leaves the decision how to proceed to the programmer. In this example, we decided to just log the error and continue to run. The function that panicked will stop execution at the panic, but the code that called it will continue to execute, which is why we see 'End' being printed.
- - +
The function that panics will stop because it can no longer function so we don't see 'Is this printed?' printed. The recover function makes it possible to obtain the error in case a panic occurred, and leaves the decision how to proceed to the programmer. In this example, we decided to just log the error and continue to run. The function that panicked will stop execution at the panic, but the code that called it will continue to execute, which is why we see 'End' being printed.
+ + \ No newline at end of file diff --git a/docs/backend/go-by-example/ranging.html b/docs/backend/go-by-example/ranging.html index 0a915f1..da6e2de 100644 --- a/docs/backend/go-by-example/ranging.html +++ b/docs/backend/go-by-example/ranging.html @@ -2,21 +2,21 @@ - + Ranging and Looping | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/backend/go-by-example/reflection.html b/docs/backend/go-by-example/reflection.html index 4e04a04..d921636 100644 --- a/docs/backend/go-by-example/reflection.html +++ b/docs/backend/go-by-example/reflection.html @@ -2,20 +2,20 @@ - + Reflection | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/backend/go-by-example/type-casting.html b/docs/backend/go-by-example/type-casting.html index cd40659..664a932 100644 --- a/docs/backend/go-by-example/type-casting.html +++ b/docs/backend/go-by-example/type-casting.html @@ -2,21 +2,21 @@ - + Type Casting | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/backend/go-by-example/waitgroups.html b/docs/backend/go-by-example/waitgroups.html index 73b1af3..8c0f4cc 100644 --- a/docs/backend/go-by-example/waitgroups.html +++ b/docs/backend/go-by-example/waitgroups.html @@ -2,20 +2,20 @@ - + waitgroups | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/backend/go-by-example/yaml-magic.html b/docs/backend/go-by-example/yaml-magic.html index f9ed873..a9466df 100644 --- a/docs/backend/go-by-example/yaml-magic.html +++ b/docs/backend/go-by-example/yaml-magic.html @@ -2,21 +2,21 @@ - + Yaml magic | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/backend/gograpple.html b/docs/backend/gograpple.html index 5e73f8c..73f6285 100644 --- a/docs/backend/gograpple.html +++ b/docs/backend/gograpple.html @@ -2,20 +2,20 @@ - + Gograpple | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/backend/profiling.html b/docs/backend/profiling.html new file mode 100644 index 0000000..319be87 --- /dev/null +++ b/docs/backend/profiling.html @@ -0,0 +1,21 @@ + + + + + +Profiling Go applications | foomo project docs + + + + + + + + + +
+
+ + + + \ No newline at end of file diff --git a/docs/backend/profiling/pprof.html b/docs/backend/profiling/pprof.html new file mode 100644 index 0000000..a31134f --- /dev/null +++ b/docs/backend/profiling/pprof.html @@ -0,0 +1,21 @@ + + + + + +runtime pprof | foomo project docs + + + + + + + + + +
+
+ + + + \ No newline at end of file diff --git a/docs/backend/rtfm.html b/docs/backend/rtfm.html index ce69ebd..78a4d84 100644 --- a/docs/backend/rtfm.html +++ b/docs/backend/rtfm.html @@ -2,20 +2,20 @@ - -External documentation resources | foomo project docs + +External documentation resources | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/backend/setup.html b/docs/backend/setup.html index be3fcbd..626047d 100644 --- a/docs/backend/setup.html +++ b/docs/backend/setup.html @@ -2,20 +2,20 @@ - + setup your workspace | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/devops.html b/docs/devops.html index 9da9ef9..b10e694 100644 --- a/docs/devops.html +++ b/docs/devops.html @@ -2,20 +2,20 @@ - + Devops Guide | foomo project docs - - - + + +
-

Devops Guide

How to run apps with foomo in the cloud

  • manage your infrasture as code with terraform
  • run apps on kubernetes
  • use squadron to make k8s more accessible
- - +

Devops Guide

How to run apps with foomo in the cloud

  • manage your infrasture as code with terraform
  • run apps on kubernetes
  • use squadron to make k8s more accessible
+ + \ No newline at end of file diff --git a/docs/devops/bookmarks.html b/docs/devops/bookmarks.html index c5579b6..b049592 100644 --- a/docs/devops/bookmarks.html +++ b/docs/devops/bookmarks.html @@ -2,20 +2,20 @@ - + Bookmarks | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/devops/infrastructure/conventions.html b/docs/devops/infrastructure/conventions.html index bfb5f09..1209bc3 100644 --- a/docs/devops/infrastructure/conventions.html +++ b/docs/devops/infrastructure/conventions.html @@ -2,20 +2,20 @@ - + Conventions | foomo project docs - - - + + +
-

Conventions

When creating resources the most important thing is to be consistent.

Resource Naming Conventions

The following resource convention is preferred if no other exist in the project:

[customer*]-[project]-[resource*]-[env*]-[name*]-[region/location]-[index]

The fields with a * are required.

Legend:

customer:          bestbytes, foomo
project:           hmd
reqource:          s3, pql, vpc
env:               prod, stage, dev, int, test
name:              default, general, catalogue-backend
region/location:   region for this resource if it's region specific
index:             numbering of the resource, starting from 1 (3 numbers, leading zeros)

Examples:

# Foomo customer s3 bucket for prod environment with the described role (catalogue-backend/site-images)
foomo-s3-prod-NAME

    - foomo-s3-prod-catalogue-backend
    - foomo-s3-prod-site-images

# Foomo customer VPC for stage environment with the described role (default/mongodb)
foomo-vpc-stage-NAME

    - foomo-vpc-stage-default
    - foomo-vpc-stage-mongodb

# Bestbytes customer for HMD project, postgresql instance for stage environment and default usage
bestbytes-hmd-pql-stage-default
    
# Bestbytes customer VPN Tunnel #1 in the stage environment for externalcustomer with numbering
bestbytes-vpt-stage-externalcustomer-001
- - +

Conventions

When creating resources the most important thing is to be consistent.

Resource Naming Conventions

The following resource convention is preferred if no other exist in the project:

[customer*]-[project]-[resource*]-[env*]-[name*]-[region/location]-[index]

The fields with a * are required.

Legend:

customer:          bestbytes, foomo
project:           hmd
reqource:          s3, pql, vpc
env:               prod, stage, dev, int, test
name:              default, general, catalogue-backend
region/location:   region for this resource if it's region specific
index:             numbering of the resource, starting from 1 (3 numbers, leading zeros)

Examples:

# Foomo customer s3 bucket for prod environment with the described role (catalogue-backend/site-images)
foomo-s3-prod-NAME

    - foomo-s3-prod-catalogue-backend
    - foomo-s3-prod-site-images

# Foomo customer VPC for stage environment with the described role (default/mongodb)
foomo-vpc-stage-NAME

    - foomo-vpc-stage-default
    - foomo-vpc-stage-mongodb

# Bestbytes customer for HMD project, postgresql instance for stage environment and default usage
bestbytes-hmd-pql-stage-default
    
# Bestbytes customer VPN Tunnel #1 in the stage environment for externalcustomer with numbering
bestbytes-vpt-stage-externalcustomer-001
+ + \ No newline at end of file diff --git a/docs/devops/k8s.html b/docs/devops/k8s.html index 7b26e9b..57aa1cd 100644 --- a/docs/devops/k8s.html +++ b/docs/devops/k8s.html @@ -2,20 +2,20 @@ - + k8s kubernetes | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/devops/kubernetes/spot-instance-node-pools.html b/docs/devops/kubernetes/spot-instance-node-pools.html index 614012a..8b679ec 100644 --- a/docs/devops/kubernetes/spot-instance-node-pools.html +++ b/docs/devops/kubernetes/spot-instance-node-pools.html @@ -2,23 +2,23 @@ - + Spot Instance Node Pools | foomo project docs - - - + + +
-

Spot Instance Node Pools

Setting up spot instance node pools is a great way to save money on stateless applications

Setting Up Node Taints​

Setting Up Pod Toleration​

Pod Toleration​

DaemonSet Toleration​

Don't forget to set the daemonset tolerations

Setting Up Pod Disruption Budgets​

Setting up a pod disruption budget is important due to erratic node shutdown possibility. +

Spot Instance Node Pools

Setting up spot instance node pools is a great way to save money on stateless applications

Setting Up Node Taints​

Setting Up Pod Toleration​

Pod Toleration​

DaemonSet Toleration​

Don't forget to set the daemonset tolerations

Setting Up Pod Disruption Budgets​

Setting up a pod disruption budget is important due to erratic node shutdown possibility. What could happen is that nodes that are hosting the applications start terminating, and our application becomes unresponsive until the application is re-located to another node. -To avoid that situation, for the instances we need to configure pod disruption budget on our helm deployments.

apiVersion: policy/v1
kind: PodDisruptionBudget
metadata:
  name: application-name
spec:
  maxAvailable: 50%
  selector:
    matchLabels:
      app: application-name

For more details check out here

Setting Up Termination Handling​

Setting Up K8s Cron Shutdown Cleanup​

- - +To avoid that situation, for the instances we need to configure pod disruption budget on our helm deployments.

apiVersion: policy/v1
kind: PodDisruptionBudget
metadata:
  name: application-name
spec:
  maxAvailable: 50%
  selector:
    matchLabels:
      app: application-name

For more details check out here

Setting Up Termination Handling​

Setting Up K8s Cron Shutdown Cleanup​

+ + \ No newline at end of file diff --git a/docs/devops/monitoring/grafana.html b/docs/devops/monitoring/grafana.html index 51eb802..16ccb64 100644 --- a/docs/devops/monitoring/grafana.html +++ b/docs/devops/monitoring/grafana.html @@ -2,20 +2,20 @@ - + Grafana | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/devops/monitoring/intro.html b/docs/devops/monitoring/intro.html index 032ba9c..affcb5c 100644 --- a/docs/devops/monitoring/intro.html +++ b/docs/devops/monitoring/intro.html @@ -2,20 +2,20 @@ - + Monitoring and Alerting | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/devops/monitoring/jaeger.html b/docs/devops/monitoring/jaeger.html index aaff8b6..26853ef 100644 --- a/docs/devops/monitoring/jaeger.html +++ b/docs/devops/monitoring/jaeger.html @@ -2,20 +2,20 @@ - + Jaeger | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/frontend.html b/docs/frontend.html index ba9d47d..42caceb 100644 --- a/docs/frontend.html +++ b/docs/frontend.html @@ -2,20 +2,20 @@ - + Frontend Guide | foomo project docs - - - + + +
-

Frontend Guide

In this section you will find a guide on how to develop frontends with the foomo stack. Please also see the general guide.

Let me share a few thoughts on frontend development from our journey @bestbytes the company behind https://www.foomo.org .

Web development has been a wild ride since the beginning of the www in the mid 1990s. Today we take it as granted, that the default way to build applications is with web technologies.

Not too long ago this seemed absurd, since browsers were meant to share scientific research papers and therefore were extremely limited in their capabilities.

It was the era of experimentation, that turned the web into the application runtime, which it is today. Plugins like Macromedias flash inspired the rich APIs we can use today, when building web applications.

A little history​

The current stack is the result of a more than 20 year journey.

Last millenium​

The open source eco system was in its infancy, there was no github (is that really open source as it should be 🤔), there was not even git, there were no real web frameworks and agile methodologies were an exotic nerd topic.

Browsers would sometimes render things in a recognisable way and a table was the way to render your layout. Reliable interactivity could only result from a server round trip and calling JavaScript had a good chance to crash your browser.

Security in browsers was a complete nightmare, it was a time, when one tab could access anothers tabs dom 🤯

Early 2000s​

As Microsoft had won the browser wars, we were stuck with IE 6 and like others we were building web applications with the limited resources we had. JavaScript frameworks were still

The plugin era / FLASH​

As browsers were slow, buggy and inconsistent FLASH presented this amazing way to build highly interactive websites. It was the time of loaders, which people accepted, because amazing experiences awaited them: animated vector graphics (artists went wild ...), games, the first videos, client server communications, sockets and a canvas API.

Also ActionScript especially AS3 felt so superior to JavaScript at the time.

Flex​

Flex used the capabilities of the flash player to provide a fantastic developer experience to build RIAs (rich internet applications). The resulting productivity, application performance and features were unparalled in the JavaScript eco system until long after the demise of the flash player.

After "thoughts on flash"​

After the release of the iPhone and the beginning of the walled garden era flash was one of the initial victims. Just for the record, I definitely prefer an independent eco system, which the web is at least to a certain extent, but it certainly was not noble motives, that were driving Apple when pushing for HTML5 in their thoughts on flash.

HTML5​

At its arrival HTML5 could not deliver on the many promises, that were made around it. Browser compatibilty was a nightmare, JavaScript performance was poor, the eco system was in its infancy.

As we left the flash eco system we stopped by RequireJS and were using BACKBONE.JS as we felt extremely burnt by Adobe, after they had dropped their whole eco system like a hot potatoe once Apple had declared the end of flash.

TypeScript and the wild framework years​

Despite the fact, that we were very sceptic about trusting large vendors, we adopted TypeScript right after it was initially released and we have remained happy users of it until the present day.

The early years of the Node.js community were extremely wild, there was jokes about the number of frameworks released per day. The number of languages that compiled to JavaScript exploded and it just seemed impossible to keep up with the changing environment.

2020s​

As we wake up today as frontend developers, we do not expect, that we will keep on doing things as we do them today until the end of our careers, but we at least see a chance, that the code base of a project will not be outdated with delivery of a MVP.

- - +

Frontend Guide

In this section you will find a guide on how to develop frontends with the foomo stack. Please also see the general guide.

Let me share a few thoughts on frontend development from our journey @bestbytes the company behind https://www.foomo.org .

Web development has been a wild ride since the beginning of the www in the mid 1990s. Today we take it as granted, that the default way to build applications is with web technologies.

Not too long ago this seemed absurd, since browsers were meant to share scientific research papers and therefore were extremely limited in their capabilities.

It was the era of experimentation, that turned the web into the application runtime, which it is today. Plugins like Macromedias flash inspired the rich APIs we can use today, when building web applications.

A little history​

The current stack is the result of a more than 20 year journey.

Last millenium​

The open source eco system was in its infancy, there was no github (is that really open source as it should be 🤔), there was not even git, there were no real web frameworks and agile methodologies were an exotic nerd topic.

Browsers would sometimes render things in a recognisable way and a table was the way to render your layout. Reliable interactivity could only result from a server round trip and calling JavaScript had a good chance to crash your browser.

Security in browsers was a complete nightmare, it was a time, when one tab could access anothers tabs dom 🤯

Early 2000s​

As Microsoft had won the browser wars, we were stuck with IE 6 and like others we were building web applications with the limited resources we had. JavaScript frameworks were still

The plugin era / FLASH​

As browsers were slow, buggy and inconsistent FLASH presented this amazing way to build highly interactive websites. It was the time of loaders, which people accepted, because amazing experiences awaited them: animated vector graphics (artists went wild ...), games, the first videos, client server communications, sockets and a canvas API.

Also ActionScript especially AS3 felt so superior to JavaScript at the time.

Flex​

Flex used the capabilities of the flash player to provide a fantastic developer experience to build RIAs (rich internet applications). The resulting productivity, application performance and features were unparalled in the JavaScript eco system until long after the demise of the flash player.

After "thoughts on flash"​

After the release of the iPhone and the beginning of the walled garden era flash was one of the initial victims. Just for the record, I definitely prefer an independent eco system, which the web is at least to a certain extent, but it certainly was not noble motives, that were driving Apple when pushing for HTML5 in their thoughts on flash.

HTML5​

At its arrival HTML5 could not deliver on the many promises, that were made around it. Browser compatibilty was a nightmare, JavaScript performance was poor, the eco system was in its infancy.

As we left the flash eco system we stopped by RequireJS and were using BACKBONE.JS as we felt extremely burnt by Adobe, after they had dropped their whole eco system like a hot potatoe once Apple had declared the end of flash.

TypeScript and the wild framework years​

Despite the fact, that we were very sceptic about trusting large vendors, we adopted TypeScript right after it was initially released and we have remained happy users of it until the present day.

The early years of the Node.js community were extremely wild, there was jokes about the number of frameworks released per day. The number of languages that compiled to JavaScript exploded and it just seemed impossible to keep up with the changing environment.

2020s​

As we wake up today as frontend developers, we do not expect, that we will keep on doing things as we do them today until the end of our careers, but we at least see a chance, that the code base of a project will not be outdated with delivery of a MVP.

+ + \ No newline at end of file diff --git a/docs/frontend/css.html b/docs/frontend/css.html index 3ed17b0..a31a82b 100644 --- a/docs/frontend/css.html +++ b/docs/frontend/css.html @@ -2,20 +2,20 @@ - + CSS | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/frontend/debugging_js.html b/docs/frontend/debugging_js.html index fa07ea8..4bc9517 100644 --- a/docs/frontend/debugging_js.html +++ b/docs/frontend/debugging_js.html @@ -2,20 +2,20 @@ - + Debugging in JavaScript | foomo project docs - - - + + +
-

Debugging in JavaScript

Debugging experience is very important because it can save you hours of depressing search for a bug.

console logging​

Probably 95% of devs nowadays still use console.log since it's the most convenient way of outputting something. There are also some nicer ways to output something, especially when having an array of object. In that case it's much nicer to use console.table(array) because it will create a nice table with all fields.

Sometimes a debugger in the browser won't create a breakpoint like you want it or you can't find a source file where you would want. A nice trick is to add a debugger keyword in your code which will instantly stop executing script on that place (but only if you have devtools open).

Bisecting​

When you can't find what causes an error, a very common approach is doing bisection. This is simply removing half of the code and see if it still works or not. If it works, then the bug is in the removed code, otherwise start removing other half in existing code.

Chrome/Firefox devtools​

Today's browsers have really good devtools and we can't imagine developing without them. And they all nice of helper tricks that ease our development and especially debugging.

... TODO: @themre

- - +

Debugging in JavaScript

Debugging experience is very important because it can save you hours of depressing search for a bug.

console logging​

Probably 95% of devs nowadays still use console.log since it's the most convenient way of outputting something. There are also some nicer ways to output something, especially when having an array of object. In that case it's much nicer to use console.table(array) because it will create a nice table with all fields.

Sometimes a debugger in the browser won't create a breakpoint like you want it or you can't find a source file where you would want. A nice trick is to add a debugger keyword in your code which will instantly stop executing script on that place (but only if you have devtools open).

Bisecting​

When you can't find what causes an error, a very common approach is doing bisection. This is simply removing half of the code and see if it still works or not. If it works, then the bug is in the removed code, otherwise start removing other half in existing code.

Chrome/Firefox devtools​

Today's browsers have really good devtools and we can't imagine developing without them. And they all nice of helper tricks that ease our development and especially debugging.

... TODO: @themre

+ + \ No newline at end of file diff --git a/docs/frontend/performance.html b/docs/frontend/performance.html index 2056ba6..01660b8 100644 --- a/docs/frontend/performance.html +++ b/docs/frontend/performance.html @@ -2,21 +2,21 @@ - + Performance | foomo project docs - - - + + +
-

Performance

JS​

JS is nowadays extremely fast and yet we have many performance issues. Here you can find few common mistakes that occur in JS that can decrease performance.

Extensive use of .map, .filter​

Let's say you have a large list of objects and you would like to filter them and transform them in some form. Usually we do this:

const largeArray = [ .... ]
largeArray.map(obj => transformObj(obj)).filter(omitBadObject)

In the above case we first loop through whole set, transform it and then filter things out. Not only does this goes through all the items twice, but it also first time goes through all the items and then filters them. -One optimization would be to first filter them and then transform them, but ideally we should just use a normal for loop or forEach where you go through items only once.

const finalArray = []
largeArray.forEach(obj => {
  if (omitBadObject(obj)) {
    finalArray.push(transformObj(obj))
  }
})

This code will skip another loop of items.

- - +

Performance

JS​

JS is nowadays extremely fast and yet we have many performance issues. Here you can find few common mistakes that occur in JS that can decrease performance.

Extensive use of .map, .filter​

Let's say you have a large list of objects and you would like to filter them and transform them in some form. Usually we do this:

const largeArray = [ .... ]
largeArray.map(obj => transformObj(obj)).filter(omitBadObject)

In the above case we first loop through whole set, transform it and then filter things out. Not only does this goes through all the items twice, but it also first time goes through all the items and then filters them. +One optimization would be to first filter them and then transform them, but ideally we should just use a normal for loop or forEach where you go through items only once.

const finalArray = []
largeArray.forEach(obj => {
  if (omitBadObject(obj)) {
    finalArray.push(transformObj(obj))
  }
})

This code will skip another loop of items.

+ + \ No newline at end of file diff --git a/docs/frontend/pitfalls.html b/docs/frontend/pitfalls.html index 7a1a554..26d0557 100644 --- a/docs/frontend/pitfalls.html +++ b/docs/frontend/pitfalls.html @@ -2,20 +2,20 @@ - + Pitfalls | foomo project docs - - - + + +
-

Pitfalls

This section is very important to avoid dangerous bugs in your code. Of course each of our languages or libraries in our stack has many advantages, but they came with dangerous pitfalls.

JavaScript​

This section is probably too small to write all the dangerous things in JavaScript, but we hope developers won't do some crazy things like concatenating numbers and strings and such sort of forbidden things will be catched by TS.

But nevertheless, very often we run into issues that are hard to debug.

Mutation​

Mutation in JS is a very common problem and thus leads to dangerous bugs.

A very common mutation occurs in spreading. So if you spread an object and it's deeply nested, you need to know that this will only create a shallow copy. So that means that deeply nested fields will still be referenced by the original object. If you need to do a immutable instance we advice in using either klona or immer.

When doing sorting on the array like [1,2,3].sort(...), this does mutate the original array. Devs are used to create new array with .map or .filter, but this here is not the case. So be careful with that. Also do not forget that objects in the array will have a reference to objects in the original array and thus they also needs to be cloned.

Have in mind that doing immutability costs and sometimes it's better to mutate, but also know that in React if you don't create a new reference, setting state won't react. So always have in mind pros and cons of doing mutation.

typeof​

typeof is used for checking type of some variables. So when checking if a variable is an array of an object, we try to use typeof. But we should be very careful since typeof works nicely on simple primitive types like number, string, boolean.

When you try to check whether a variable is an object or an array, you try to use typeof. But both are object. So in this case we should use Array.isArray(variable). But be careful, because also null is an object! If you want to deep dive into this, read here.

Numbers are also fun when it comes to NaN. If you check isNaN with typeof, it's actually a number! So for this use-case you need to use Number.isNaN(myNum).

- - +

Pitfalls

This section is very important to avoid dangerous bugs in your code. Of course each of our languages or libraries in our stack has many advantages, but they came with dangerous pitfalls.

JavaScript​

This section is probably too small to write all the dangerous things in JavaScript, but we hope developers won't do some crazy things like concatenating numbers and strings and such sort of forbidden things will be catched by TS.

But nevertheless, very often we run into issues that are hard to debug.

Mutation​

Mutation in JS is a very common problem and thus leads to dangerous bugs.

A very common mutation occurs in spreading. So if you spread an object and it's deeply nested, you need to know that this will only create a shallow copy. So that means that deeply nested fields will still be referenced by the original object. If you need to do a immutable instance we advice in using either klona or immer.

When doing sorting on the array like [1,2,3].sort(...), this does mutate the original array. Devs are used to create new array with .map or .filter, but this here is not the case. So be careful with that. Also do not forget that objects in the array will have a reference to objects in the original array and thus they also needs to be cloned.

Have in mind that doing immutability costs and sometimes it's better to mutate, but also know that in React if you don't create a new reference, setting state won't react. So always have in mind pros and cons of doing mutation.

typeof​

typeof is used for checking type of some variables. So when checking if a variable is an array of an object, we try to use typeof. But we should be very careful since typeof works nicely on simple primitive types like number, string, boolean.

When you try to check whether a variable is an object or an array, you try to use typeof. But both are object. So in this case we should use Array.isArray(variable). But be careful, because also null is an object! If you want to deep dive into this, read here.

Numbers are also fun when it comes to NaN. If you check isNaN with typeof, it's actually a number! So for this use-case you need to use Number.isNaN(myNum).

+ + \ No newline at end of file diff --git a/docs/frontend/rtfm.html b/docs/frontend/rtfm.html index adf4191..e103277 100644 --- a/docs/frontend/rtfm.html +++ b/docs/frontend/rtfm.html @@ -2,20 +2,20 @@ - + External documentation resources | foomo project docs - - - + + +
-

External documentation resources

Runtime / browser​

In general the Mozilla Developer Network - MDN is a great resource, if you want to know, what your browser is capable of.

Once you found out, how great an API is, the question to answer will be "can I use" feature X. https://caniuse.com/ is a great resource to find the answers, when trying to understand, if a browser API / feature is ready to use for your audience.

JavaScript

JavaScript historically has a very bad reputation. Please enjoy the following classic piece of infotainment: https://www.destroyallsoftware.com/talks/wat

As JavaScript has been massively iterated on, the runtimes hav ecome crazy fast and the language keeps on evolving.

The (mostly functional) subset of the language, that is being used in modern JavaScript / TypeScript projects to is highly expressive and reads well.

Please take the time and learn about

  • functional programming
  • variable scope
  • modern JavaScript syntax
    • arrow functions
    • new keywords
    • spreading
    • ...
  • promises

CSS

  • CSS block model
  • flex box

Browser APIs

  • canvas
  • fetch
  • local storage
  • websockets
  • sse server side events
  • built in types

TypeScript​

- - +

External documentation resources

Runtime / browser​

In general the Mozilla Developer Network - MDN is a great resource, if you want to know, what your browser is capable of.

Once you found out, how great an API is, the question to answer will be "can I use" feature X. https://caniuse.com/ is a great resource to find the answers, when trying to understand, if a browser API / feature is ready to use for your audience.

JavaScript

JavaScript historically has a very bad reputation. Please enjoy the following classic piece of infotainment: https://www.destroyallsoftware.com/talks/wat

As JavaScript has been massively iterated on, the runtimes hav ecome crazy fast and the language keeps on evolving.

The (mostly functional) subset of the language, that is being used in modern JavaScript / TypeScript projects to is highly expressive and reads well.

Please take the time and learn about

  • functional programming
  • variable scope
  • modern JavaScript syntax
    • arrow functions
    • new keywords
    • spreading
    • ...
  • promises

CSS

  • CSS block model
  • flex box

Browser APIs

  • canvas
  • fetch
  • local storage
  • websockets
  • sse server side events
  • built in types

TypeScript​

+ + \ No newline at end of file diff --git a/docs/frontend/setup.html b/docs/frontend/setup.html index c00625c..921a823 100644 --- a/docs/frontend/setup.html +++ b/docs/frontend/setup.html @@ -2,20 +2,20 @@ - + Setup | foomo project docs - - - + + +
-

Frontend setup

How to setup your machine for frontend development

general topics​

setting up your IDE​

  • vscode

frontend specific

  • yarn / npm / package.json
  • nvm
  • browser extensions
    • preact
    • redux
    • (google analytics)

debugging with emulators / devices​

  • xcode
  • android studio

Install software​

Mac​

First of all install brew from https://brew.sh

brew install nvm
brew cask install iterm2

Linux​

Windows​

Install Linux ;)

- - +

Frontend setup

How to setup your machine for frontend development

general topics​

setting up your IDE​

  • vscode

frontend specific

  • yarn / npm / package.json
  • nvm
  • browser extensions
    • preact
    • redux
    • (google analytics)

debugging with emulators / devices​

  • xcode
  • android studio

Install software​

Mac​

First of all install brew from https://brew.sh

brew install nvm
brew cask install iterm2

Linux​

Windows​

Install Linux ;)

+ + \ No newline at end of file diff --git a/docs/frontend/stack.html b/docs/frontend/stack.html index 1a0ca18..74760b5 100644 --- a/docs/frontend/stack.html +++ b/docs/frontend/stack.html @@ -2,20 +2,20 @@ - + Stack | foomo project docs - - - + + +
-

Frontend Stack

Our frontend stack is permanently changing as the underlying eco system does. We are trying to adopt technologies at the "Slope of Enlightenment" in the hype cycle.

Former iterations of our stack were MVC or MVVM frontend frameworks. Since the arrival of React and state mangement libraries like Redux and Zustand we have been building reactive applications.

Reactive frontends are fun to develop and they scale.

TypeScript​

Is our language of choice to build frontends for web applications.

We have adopted TypeScript very early, right after its initial public release in 2012. Here is a list of motives:

  • it is a superset JavaScript
  • it does not try to replace JavaScript like many other languages, which compile to JavaScript, it tries to complement and improve it, while staying compatible
  • good type system
  • great tooling

While it seemed to be crazy to trust Microsoft as a friendly open source company, we have not been disappointed so far.

React / Preact​

Declarative components and views, fast to develop and fast at runtime.

gotsrpc​

Since we are building services in Go and not with Node.js we have created a light weight RPC framework to integrate TypeScript with Go.

When creating TS definitions on the Go side we follow camel case convention of naming fields e.g. lastDateModified instead of LastDateModified.

- - +

Frontend Stack

Our frontend stack is permanently changing as the underlying eco system does. We are trying to adopt technologies at the "Slope of Enlightenment" in the hype cycle.

Former iterations of our stack were MVC or MVVM frontend frameworks. Since the arrival of React and state mangement libraries like Redux and Zustand we have been building reactive applications.

Reactive frontends are fun to develop and they scale.

TypeScript​

Is our language of choice to build frontends for web applications.

We have adopted TypeScript very early, right after its initial public release in 2012. Here is a list of motives:

  • it is a superset JavaScript
  • it does not try to replace JavaScript like many other languages, which compile to JavaScript, it tries to complement and improve it, while staying compatible
  • good type system
  • great tooling

While it seemed to be crazy to trust Microsoft as a friendly open source company, we have not been disappointed so far.

React / Preact​

Declarative components and views, fast to develop and fast at runtime.

gotsrpc​

Since we are building services in Go and not with Node.js we have created a light weight RPC framework to integrate TypeScript with Go.

When creating TS definitions on the Go side we follow camel case convention of naming fields e.g. lastDateModified instead of LastDateModified.

+ + \ No newline at end of file diff --git a/docs/frontend/typescript/objects.html b/docs/frontend/typescript/objects.html index 6e6018d..f50244e 100644 --- a/docs/frontend/typescript/objects.html +++ b/docs/frontend/typescript/objects.html @@ -2,22 +2,22 @@ - + Object declaration syntax in TypeScript | foomo project docs - - - + + +
-
+ + \ No newline at end of file diff --git a/docs/frontend/typescript/spreading.html b/docs/frontend/typescript/spreading.html index 33a2ced..34904f4 100644 --- a/docs/frontend/typescript/spreading.html +++ b/docs/frontend/typescript/spreading.html @@ -2,21 +2,21 @@ - + Spreading | foomo project docs - - - + + +
-

Spreading

JavaScript spread syntax (...) is a surprisingly powerful construct. It has two main use cases in our applications:

Shallow copying​

Spreading creates new instances of objects or array, but we need to be very careful because it only does a shallow copy. -If you have a deeply nested object or array, nested entities will still hold a reference to an original value and hence dangerous bugs can occur.

Copying is needed when doing state changes (either local or state management e.g. Redux). If deep cloning is required, structuredClone can be used. 

function () {
  // let´s start with a relatively simple object
  const foo = {
    a: 1,
    b: 2,
    nested: {
      child: "is not a copy",
    },
  };
  // this will create a shallow copy of foo and add a field "c"
  const bar = { ...foo, c: 3 };
  // please note, that the nested property "nested" is not deeply copied,
  // thus changes to this object will also affect foo.nested
  bar.nested.child += " <- I told you so";

  // .foo has been copied though and changes to it affect the original only
  foo.a += 1;
  return (
    <>
      <ul>
        <li>
          <code>foo.a</code> was incremented by 1 and is now <code>2</code>
        </li>
        <li>
          accessing <code>bar.nested.child</code> also changed{" "}
          <code>foo.nested.child</code>
        </li>
      </ul>
      <pre>foo: {JSON.stringify(foo)}</pre>
      <ul>
        <li>
          <code>bar.a</code> has kept its original value <code>1</code>
        </li>
        <li>
          a new property <code>c</code> was added
        </li>
      </ul>
      <pre>bar: {JSON.stringify(bar)}</pre>
    </>
  );
}

Populating jsx attributes​

function App() {
    // a simple Component, that will render all fields in props
    const Foo = (props) => (
        <ul>
            {
                Object
                    .keys(props)
                    .map(key => (
                        <li>
                            <code>{key}</code>:{props[key]}
                        </li>
                    )
                )
            }
        </ul>
    );
    const data = {
        a: 1,
        b: 2,
        c: 3
    }

    const { c, ...omittedObject } = data;
    return (
        <>
            {/*
              Each of the `data` fields are spreaded as props
            */}
            <p>Spread all props</p>
            <Foo {...data}/>

            <p>Add additional prop</p>
            {/*
              After we spread, we also add `d` prop.
            */}
            <Foo {...data} d={4}/>

            <p>Order of props is important</p>
            {/*
              We will replace `a` with 10
            */}
            <Foo {...data} a={10} />
            {/*
              But this won't replace original `a` with 10
            */}
            <Foo a={10} {...data} />

            <p>Omit certain properties</p>
            {/*
              If you wish to omit certain fields, you need to write fields 
              that you wish to omit and with `...{newVariableName}` you will create a new
              object with that name. In our part it's `omittedObject` name.
            */}
            <Foo {...omittedObject} />
        </>
    );
}
- - +

Spreading

JavaScript spread syntax (...) is a surprisingly powerful construct. It has two main use cases in our applications:

Shallow copying​

Spreading creates new instances of objects or array, but we need to be very careful because it only does a shallow copy. +If you have a deeply nested object or array, nested entities will still hold a reference to an original value and hence dangerous bugs can occur.

Copying is needed when doing state changes (either local or state management e.g. Redux). If deep cloning is required, structuredClone can be used. 

function () {
  // let´s start with a relatively simple object
  const foo = {
    a: 1,
    b: 2,
    nested: {
      child: "is not a copy",
    },
  };
  // this will create a shallow copy of foo and add a field "c"
  const bar = { ...foo, c: 3 };
  // please note, that the nested property "nested" is not deeply copied,
  // thus changes to this object will also affect foo.nested
  bar.nested.child += " <- I told you so";

  // .foo has been copied though and changes to it affect the original only
  foo.a += 1;
  return (
    <>
      <ul>
        <li>
          <code>foo.a</code> was incremented by 1 and is now <code>2</code>
        </li>
        <li>
          accessing <code>bar.nested.child</code> also changed{" "}
          <code>foo.nested.child</code>
        </li>
      </ul>
      <pre>foo: {JSON.stringify(foo)}</pre>
      <ul>
        <li>
          <code>bar.a</code> has kept its original value <code>1</code>
        </li>
        <li>
          a new property <code>c</code> was added
        </li>
      </ul>
      <pre>bar: {JSON.stringify(bar)}</pre>
    </>
  );
}

Populating jsx attributes​

function App() {
    // a simple Component, that will render all fields in props
    const Foo = (props) => (
        <ul>
            {
                Object
                    .keys(props)
                    .map(key => (
                        <li>
                            <code>{key}</code>:{props[key]}
                        </li>
                    )
                )
            }
        </ul>
    );
    const data = {
        a: 1,
        b: 2,
        c: 3
    }

    const { c, ...omittedObject } = data;
    return (
        <>
            {/*
              Each of the `data` fields are spreaded as props
            */}
            <p>Spread all props</p>
            <Foo {...data}/>

            <p>Add additional prop</p>
            {/*
              After we spread, we also add `d` prop.
            */}
            <Foo {...data} d={4}/>

            <p>Order of props is important</p>
            {/*
              We will replace `a` with 10
            */}
            <Foo {...data} a={10} />
            {/*
              But this won't replace original `a` with 10
            */}
            <Foo a={10} {...data} />

            <p>Omit certain properties</p>
            {/*
              If you wish to omit certain fields, you need to write fields 
              that you wish to omit and with `...{newVariableName}` you will create a new
              object with that name. In our part it's `omittedObject` name.
            */}
            <Foo {...omittedObject} />
        </>
    );
}
+ + \ No newline at end of file diff --git a/docs/frontend/vscode.html b/docs/frontend/vscode.html index 09f252e..a6babb4 100644 --- a/docs/frontend/vscode.html +++ b/docs/frontend/vscode.html @@ -2,20 +2,20 @@ - + vscode | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/general.html b/docs/general.html index abef7e1..a799fa9 100644 --- a/docs/general.html +++ b/docs/general.html @@ -2,20 +2,20 @@ - + General guide | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/general/essentials.html b/docs/general/essentials.html index 15ff25c..ce25091 100644 --- a/docs/general/essentials.html +++ b/docs/general/essentials.html @@ -2,20 +2,20 @@ - + (Random) essentials | foomo project docs - - - + + +
-

(Random) essentials

Markdown​

Learn markdown(this is a markdown document 🤓)

Vim​

Vim is everywhere so no matter if you ssh into a place or try to edit a file in a container, you are going to need it.

Here is a super minimal cheat sheet:

# edit/create a file
vim path/file

Now the shortcuts:

shortcutfunctionnote
:h<enter>helpa bit overwhelming
:q<enter>quitimmediate instinct after looking at help 🤣
:q!<enter>quit ignoring changes! means, that you actually mean it and can be combined with a lot of commands
:w<enter>write / save file
:x<enter> save and exit
:x!<enter> force save and exit
11Ggo to line 11
$ go to last char in line
dddelete line
x delete char
i enter insert modethat is where you can actually edit stuff - press escape to exit insert mode
<esc>exit insert mode
<ctrl>vvisual blockthen use cursors to edit selection
xcut
ppaste

ssh​

allows you to remotely and securely log into computers - man ssh should be available on any shell.

digital ocean has a decent intro into ssh https://www.digitalocean.com/community/tutorials/ssh-essentials-working-with-ssh-servers-clients-and-keys

There is a lot of other tutorials - your typical use cases will be:

  • logging into other computers
  • executing commands on those computers
  • tunneling network connections

Once ssh is set up correctly scp, git and a lot of other programs, that rely on ssh under the covers are fun to use too.

git​

https://git-scm.com/doc

github​

Yes despite the fact, that m$ bought them, we use them and you have to enable 2fa

Some data formats​

yaml​

https://yaml.org/ some love it for good a reason, some hate it for another good reason, but atm there is just no way around it.

json​

https://www.json.org/json-en.html similar love and hate situation like with yaml - also no way out.

CSV​

If you think parsing or serializing CSV is trivial, you have been warned.

https://datatracker.ietf.org/doc/html/rfc4180

protocol buffers​

Fast, compact not human readable - not necessary for most use cases

https://developers.google.com/protocol-buffers

xml​

https://www.w3.org/TR/REC-xml/ only little love here

- - +

(Random) essentials

Markdown​

Learn markdown(this is a markdown document 🤓)

Vim​

Vim is everywhere so no matter if you ssh into a place or try to edit a file in a container, you are going to need it.

Here is a super minimal cheat sheet:

# edit/create a file
vim path/file

Now the shortcuts:

shortcutfunctionnote
:h<enter>helpa bit overwhelming
:q<enter>quitimmediate instinct after looking at help 🤣
:q!<enter>quit ignoring changes! means, that you actually mean it and can be combined with a lot of commands
:w<enter>write / save file
:x<enter> save and exit
:x!<enter> force save and exit
11Ggo to line 11
$ go to last char in line
dddelete line
x delete char
i enter insert modethat is where you can actually edit stuff - press escape to exit insert mode
<esc>exit insert mode
<ctrl>vvisual blockthen use cursors to edit selection
xcut
ppaste

ssh​

allows you to remotely and securely log into computers - man ssh should be available on any shell.

digital ocean has a decent intro into ssh https://www.digitalocean.com/community/tutorials/ssh-essentials-working-with-ssh-servers-clients-and-keys

There is a lot of other tutorials - your typical use cases will be:

  • logging into other computers
  • executing commands on those computers
  • tunneling network connections

Once ssh is set up correctly scp, git and a lot of other programs, that rely on ssh under the covers are fun to use too.

git​

https://git-scm.com/doc

github​

Yes despite the fact, that m$ bought them, we use them and you have to enable 2fa

Some data formats​

yaml​

https://yaml.org/ some love it for good a reason, some hate it for another good reason, but atm there is just no way around it.

json​

https://www.json.org/json-en.html similar love and hate situation like with yaml - also no way out.

CSV​

If you think parsing or serializing CSV is trivial, you have been warned.

https://datatracker.ietf.org/doc/html/rfc4180

protocol buffers​

Fast, compact not human readable - not necessary for most use cases

https://developers.google.com/protocol-buffers

xml​

https://www.w3.org/TR/REC-xml/ only little love here

+ + \ No newline at end of file diff --git a/docs/general/package-managers.html b/docs/general/package-managers.html index 4edfc56..cecbb22 100644 --- a/docs/general/package-managers.html +++ b/docs/general/package-managers.html @@ -2,20 +2,20 @@ - + Package managers | foomo project docs - - - + + +
-

Package managers

Whenever you can, do not manage software on your computer manually ...

  • comfort
  • versions
  • security

macOS​

On the mac https://brew.sh/ has become the de facto standard - we use it to distribute binaries of some of our open source projects as well.

Windows​

...

- - +

Package managers

Whenever you can, do not manage software on your computer manually ...

  • comfort
  • versions
  • security

macOS​

On the mac https://brew.sh/ has become the de facto standard - we use it to distribute binaries of some of our open source projects as well.

Windows​

...

+ + \ No newline at end of file diff --git a/docs/general/security.html b/docs/general/security.html index 6b199a7..a11f5ef 100644 --- a/docs/general/security.html +++ b/docs/general/security.html @@ -2,20 +2,20 @@ - + Security | foomo project docs - - - + + +
-

Security

TODO: @dreadl0ck knock yourself out

OS / Application setup​

  • disable telemetry whereever possible

Keep your data safe​

  • encrypt your file system to make sure so that if your computer gets stolen at least your data remain secure
  • make sure to have multiple backups in different places i.e. one backup disk at home and one in the office
- - +

Security

TODO: @dreadl0ck knock yourself out

OS / Application setup​

  • disable telemetry whereever possible

Keep your data safe​

  • encrypt your file system to make sure so that if your computer gets stolen at least your data remain secure
  • make sure to have multiple backups in different places i.e. one backup disk at home and one in the office
+ + \ No newline at end of file diff --git a/docs/general/setup/computer.html b/docs/general/setup/computer.html index e0fcd04..212d90b 100644 --- a/docs/general/setup/computer.html +++ b/docs/general/setup/computer.html @@ -2,20 +2,20 @@ - + Computer | foomo project docs - - - + + +
-

Setting up your computer

This is a general setup guide for your computer. Make sure that you setup your worpkplace properly too.

Start​

  • read this document before you start
  • only use a computer from a trustworthy source
  • reset the computer
  • encrypt your harddrive in order to be on the safe side, if a computer get stolen
  • upgrade to the latest version of the OS you want to use

Privacy and security​

Follow the instructions on security when you setup and maintain your system.

Install software​

Mac​

First of all install brew from https://brew.sh

brew cask install iterm2

Linux​

Windows​

Install Linux ;)

- - +

Setting up your computer

This is a general setup guide for your computer. Make sure that you setup your worpkplace properly too.

Start​

  • read this document before you start
  • only use a computer from a trustworthy source
  • reset the computer
  • encrypt your harddrive in order to be on the safe side, if a computer get stolen
  • upgrade to the latest version of the OS you want to use

Privacy and security​

Follow the instructions on security when you setup and maintain your system.

Install software​

Mac​

First of all install brew from https://brew.sh

brew cask install iterm2

Linux​

Windows​

Install Linux ;)

+ + \ No newline at end of file diff --git a/docs/general/setup/workplace.html b/docs/general/setup/workplace.html index 77f92a3..2101fd9 100644 --- a/docs/general/setup/workplace.html +++ b/docs/general/setup/workplace.html @@ -2,20 +2,20 @@ - + Workplace | foomo project docs - - - + + +
-

Setting up your workplace

No matter where you work, you need a proper workplace:

  • ergonomic office chair / desk combination
  • large high pixel density display
  • ergonomic input devices
  • good lighting
  • correct position in the room

Make sure that you take the time to set up your workplace well, your health depends upon it.

- - +

Setting up your workplace

No matter where you work, you need a proper workplace:

  • ergonomic office chair / desk combination
  • large high pixel density display
  • ergonomic input devices
  • good lighting
  • correct position in the room

Make sure that you take the time to set up your workplace well, your health depends upon it.

+ + \ No newline at end of file diff --git a/docs/general/technologies/sse.html b/docs/general/technologies/sse.html index f37dc7a..933b11d 100644 --- a/docs/general/technologies/sse.html +++ b/docs/general/technologies/sse.html @@ -2,20 +2,20 @@ - + SSE Server Sent Events | foomo project docs - - - + + +
-

SSE Server Sent Events

Server Sent Events SSE are a well established web standard.

They allow a web server to push messages to the client.

I have created a minimal example https://github.com/janhalfar/sse-playground/tree/main/minimal to illustrate the technology.

Minimal Example in action​

if you clone https://github.com/janhalfar/sse-playground locally and run go run minimal/main.go you will be able to open http://localhost:8080 :

screenshot of chrome debugging SSE

Minimal server​

This server will:

Let´s take a look at the server response with:

curl -v localhost:8080/sse/time

% curl -v localhost:8080/sse/time
*   Trying 127.0.0.1:8080...
* Connected to localhost (127.0.0.1) port 8080 (#0)
> GET /sse/time HTTP/1.1
> Host: localhost:8080
> User-Agent: curl/7.79.1
> Accept: */*
>
* Mark bundle as not supporting multiuse
< HTTP/1.1 200 OK
< Content-Type: text/event-stream
< Date: Fri, 16 Sep 2022 14:49:17 GMT
< Transfer-Encoding: chunked
<
event: time
id: 1
data: 2022-09-16T16:49:17.482796+02:00

event: time
id: 2
data: 2022-09-16T16:49:17.498366+02:00

event: time
id: 3
data: 2022-09-16T16:49:17.514079+02:00

event: time
id: 4
data: 2022-09-16T16:49:17.529639+02:00

event: time
id: 5
data: 2022-09-16T16:49:17.545335+02:00

...

serving the frontend​

The first thing the server is to serve a frontend, which is described below:

serve the embedded index.html
loading...

serving time events​

serve an event stream of 100 server sent events
loading...

Minimal client​

a minimal and incomplete client example
loading...
- - +

SSE Server Sent Events

Server Sent Events SSE are a well established web standard.

They allow a web server to push messages to the client.

I have created a minimal example https://github.com/janhalfar/sse-playground/tree/main/minimal to illustrate the technology.

Minimal Example in action​

if you clone https://github.com/janhalfar/sse-playground locally and run go run minimal/main.go you will be able to open http://localhost:8080 :

screenshot of chrome debugging SSE

Minimal server​

This server will:

Let´s take a look at the server response with:

curl -v localhost:8080/sse/time

% curl -v localhost:8080/sse/time
*   Trying 127.0.0.1:8080...
* Connected to localhost (127.0.0.1) port 8080 (#0)
> GET /sse/time HTTP/1.1
> Host: localhost:8080
> User-Agent: curl/7.79.1
> Accept: */*
>
* Mark bundle as not supporting multiuse
< HTTP/1.1 200 OK
< Content-Type: text/event-stream
< Date: Fri, 16 Sep 2022 14:49:17 GMT
< Transfer-Encoding: chunked
<
event: time
id: 1
data: 2022-09-16T16:49:17.482796+02:00

event: time
id: 2
data: 2022-09-16T16:49:17.498366+02:00

event: time
id: 3
data: 2022-09-16T16:49:17.514079+02:00

event: time
id: 4
data: 2022-09-16T16:49:17.529639+02:00

event: time
id: 5
data: 2022-09-16T16:49:17.545335+02:00

...

serving the frontend​

The first thing the server is to serve a frontend, which is described below:

serve the embedded index.html
loading...

serving time events​

serve an event stream of 100 server sent events
loading...

Minimal client​

a minimal and incomplete client example
loading...
+ + \ No newline at end of file diff --git a/docs/general/utilities/k9s.html b/docs/general/utilities/k9s.html index b92a99c..bcf55a7 100644 --- a/docs/general/utilities/k9s.html +++ b/docs/general/utilities/k9s.html @@ -2,20 +2,20 @@ - + k9s | foomo project docs - - - + + +
-

k9s

Makes your life with k8s so much better. Here are the typical use cases.

inspecting k8s​

restarting pods​

editing resources​

- - +

k9s

Makes your life with k8s so much better. Here are the typical use cases.

inspecting k8s​

restarting pods​

editing resources​

+ + \ No newline at end of file diff --git a/docs/general/work/general.html b/docs/general/work/general.html index 89414e2..eb77b1e 100644 --- a/docs/general/work/general.html +++ b/docs/general/work/general.html @@ -2,20 +2,20 @@ - + Working as a software developer | foomo project docs - - - + + +
-

Working as a software developer

Working as a software developer in a sustainable way is challenging - here are a few observations of healthy habits:

  • do not work too much
  • physical exercise is essential
  • clearly separate between working and not working
  • reflect and iterate on your working habits
- - +

Working as a software developer

Working as a software developer in a sustainable way is challenging - here are a few observations of healthy habits:

  • do not work too much
  • physical exercise is essential
  • clearly separate between working and not working
  • reflect and iterate on your working habits
+ + \ No newline at end of file diff --git a/docs/general/work/remote-work.html b/docs/general/work/remote-work.html index 5505202..6c5c31c 100644 --- a/docs/general/work/remote-work.html +++ b/docs/general/work/remote-work.html @@ -2,20 +2,20 @@ - + Working remotely | foomo project docs - - - + + +
-

Working remotely

Especially since the beginning of the corona pandemy working remotely has become a very important topic. The foomo team has extensive experience working remotely as we are a distributed team.

Disclaimer: we are almost exclusively working in one timezone.

Requirements​

  • fast and reliable internet connection
  • a proper workplace

The good parts​

  • no commute
  • less distractions from team members

The bad parts​

  • harder to separate between work and your private life
  • less informal communication with teammates
  • less human interaction

When working from home​

  • make sure, that you have a routine, that still takes you to work
    • fixed working hours
    • "go to work" and "leave work" even if you do not leave your home
    • if possible use a room, that is for work only
    • have clear rules for your family / roomates, when at work
  • when communication with teammates use video calls
  • take time for your teammates and have a virtual coffee break with someone at least once a day
  • invest half the time, that you save by not communiting to exercise
- - +

Working remotely

Especially since the beginning of the corona pandemy working remotely has become a very important topic. The foomo team has extensive experience working remotely as we are a distributed team.

Disclaimer: we are almost exclusively working in one timezone.

Requirements​

  • fast and reliable internet connection
  • a proper workplace

The good parts​

  • no commute
  • less distractions from team members

The bad parts​

  • harder to separate between work and your private life
  • less informal communication with teammates
  • less human interaction

When working from home​

  • make sure, that you have a routine, that still takes you to work
    • fixed working hours
    • "go to work" and "leave work" even if you do not leave your home
    • if possible use a room, that is for work only
    • have clear rules for your family / roomates, when at work
  • when communication with teammates use video calls
  • take time for your teammates and have a virtual coffee break with someone at least once a day
  • invest half the time, that you save by not communiting to exercise
+ + \ No newline at end of file diff --git a/docs/projects.html b/docs/projects.html index 084d01c..01058d5 100644 --- a/docs/projects.html +++ b/docs/projects.html @@ -2,20 +2,20 @@ - + foomo project overview | foomo project docs - - - + + +
-

foomo project overview

"Stuff we wrote, because nobody else wanted to"

All foomo projects are available here https://github.com/foomo also see architecture

We are using the best industry standards and only fill in our own bits, when necessary.

The foomo project maintains libraries, utilities and daemons, which power most projects at https://www.bestbytes.com

Projects running on the foomo stack typically are

  • relatively large with hundreds of thousands of lines of code
  • composed of dozens of microservices
  • written / maintained by dozens of contributors
  • using Go on the server side
  • using Next.js / TypeScript on the client side
  • running on k8s
  • deeply integrated with a headless CMS
  • built with a project specific frontend component set

Everything is loosely coupled, since we know, that the only constant is change.

- - +

foomo project overview

"Stuff we wrote, because nobody else wanted to"

All foomo projects are available here https://github.com/foomo also see architecture

We are using the best industry standards and only fill in our own bits, when necessary.

The foomo project maintains libraries, utilities and daemons, which power most projects at https://www.bestbytes.com

Projects running on the foomo stack typically are

  • relatively large with hundreds of thousands of lines of code
  • composed of dozens of microservices
  • written / maintained by dozens of contributors
  • using Go on the server side
  • using Next.js / TypeScript on the client side
  • running on k8s
  • deeply integrated with a headless CMS
  • built with a project specific frontend component set

Everything is loosely coupled, since we know, that the only constant is change.

+ + \ No newline at end of file diff --git a/docs/projects/architecture.html b/docs/projects/architecture.html index 2b32175..51bdd41 100644 --- a/docs/projects/architecture.html +++ b/docs/projects/architecture.html @@ -2,20 +2,20 @@ - + Architecture overview | foomo project docs - - - + + +
-

Architecture overview

backend services​

When it comes to writing backend services we have decided for Go https://go.dev - let me list the main reasons why - Go is:

  • simple and fun
  • fast when compiling
  • fast at runtime
  • friendly to your machines
  • friendly to you as a programmer
  • equipped with a top notch runtime
  • extremely well balanced in its design as a language, that is highly consumable for humans and machines
  • not about the features it has
  • about what has been left out
  • easy to read
  • sustainable

Foomo projects supporting development with Go​

  • keel - opinionated way to run services
  • gotsrpc - rpc framework / code generator
  • gograpple - human friendly way to debug go programs running in k8s
  • webgrapple - a development proxy

Frontends​

Foomo projects supporting development with Next.js​

- - +

Architecture overview

backend services​

When it comes to writing backend services we have decided for Go https://go.dev - let me list the main reasons why - Go is:

  • simple and fun
  • fast when compiling
  • fast at runtime
  • friendly to your machines
  • friendly to you as a programmer
  • equipped with a top notch runtime
  • extremely well balanced in its design as a language, that is highly consumable for humans and machines
  • not about the features it has
  • about what has been left out
  • easy to read
  • sustainable

Foomo projects supporting development with Go​

  • keel - opinionated way to run services
  • gotsrpc - rpc framework / code generator
  • gograpple - human friendly way to debug go programs running in k8s
  • webgrapple - a development proxy

Frontends​

Foomo projects supporting development with Next.js​

+ + \ No newline at end of file diff --git a/docs/projects/cms.html b/docs/projects/cms.html index 2bd7977..eb0653f 100644 --- a/docs/projects/cms.html +++ b/docs/projects/cms.html @@ -2,20 +2,20 @@ - + CMS | foomo project docs - - - + + +
-

CMS

The foomo team has extensive experience with a wide range of CMS systems. Our long journey in the field has brought us very close to the https://jamstack.org . We almost exclusively work with https://app.contentful.com/ but we are watching others like https://strapi.io/ and https://directus.io/ very closely.

Expectations and challenges​

  • application developers want an environment, that ensures maximum productivity, they do not think of semantic structures, they think of routes
  • customers expect maximum control and flexibility when working with content and do not distinguish between content and applications

The need for dynamic rendering​

If you can - render static content and distribute it with a CDN.

There are use cases though, where static site generation does not work like

  • highly personalized content
  • mixing content with entities from other systems, that have a different life cycle, like products

Application routes vs semantic URL structures​

Bridging the conceptual gap between sematic content and applications.

Content especially when created with a focus on SEO comes as a semantic graph. This typically conflicts with how application developers see the world.

e-commerce as an example​

Let us take a look at a real world example:

application route / ingressapp developers viewSEO URL requirement
/content/:id/content/1/
/content/2/mens
/category/:id/category/1/mens/shirts
/category/2/mens/shirts/business
/product/:id/product/1/mens-shirt-awesome-blue-medium
/store/:id/store/1/mens/stores/london-perfect-shirts
/store/2/kids/stores/lego-paradise

our approach​

contentserver allows you to resolve URIs to mime types, which can be handled by applications.

Let us return to our ecommerce example.

model content​

mime typecms entityapplication eg k8s service
application/x-pagepagehttps://frontend_service_page
application/x-categorycategoryhttps://frontend_service_category
application/x-storestorehttps://frontend_service_store

export contentent to contentserver​

contentserver allows you to export your content tree as json

resolving URIs​

Use standard application routing whereever possible, since it is the most efficient option.

Once all standard URI resolution fails, query contentserver and it will return the resolved node


Now you have the mime-type and you know which application can handle it.

- - +

CMS

The foomo team has extensive experience with a wide range of CMS systems. Our long journey in the field has brought us very close to the https://jamstack.org . We almost exclusively work with https://app.contentful.com/ but we are watching others like https://strapi.io/ and https://directus.io/ very closely.

Expectations and challenges​

  • application developers want an environment, that ensures maximum productivity, they do not think of semantic structures, they think of routes
  • customers expect maximum control and flexibility when working with content and do not distinguish between content and applications

The need for dynamic rendering​

If you can - render static content and distribute it with a CDN.

There are use cases though, where static site generation does not work like

  • highly personalized content
  • mixing content with entities from other systems, that have a different life cycle, like products

Application routes vs semantic URL structures​

Bridging the conceptual gap between sematic content and applications.

Content especially when created with a focus on SEO comes as a semantic graph. This typically conflicts with how application developers see the world.

e-commerce as an example​

Let us take a look at a real world example:

application route / ingressapp developers viewSEO URL requirement
/content/:id/content/1/
/content/2/mens
/category/:id/category/1/mens/shirts
/category/2/mens/shirts/business
/product/:id/product/1/mens-shirt-awesome-blue-medium
/store/:id/store/1/mens/stores/london-perfect-shirts
/store/2/kids/stores/lego-paradise

our approach​

contentserver allows you to resolve URIs to mime types, which can be handled by applications.

Let us return to our ecommerce example.

model content​

mime typecms entityapplication eg k8s service
application/x-pagepagehttps://frontend_service_page
application/x-categorycategoryhttps://frontend_service_category
application/x-storestorehttps://frontend_service_store

export contentent to contentserver​

contentserver allows you to export your content tree as json

resolving URIs​

Use standard application routing whereever possible, since it is the most efficient option.

Once all standard URI resolution fails, query contentserver and it will return the resolved node


Now you have the mime-type and you know which application can handle it.

+ + \ No newline at end of file diff --git a/docs/projects/cms/contentful.html b/docs/projects/cms/contentful.html index 32a7498..263da03 100644 --- a/docs/projects/cms/contentful.html +++ b/docs/projects/cms/contentful.html @@ -2,20 +2,20 @@ - + contentful | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/projects/cms/contentserver.html b/docs/projects/cms/contentserver.html index 3856f36..554710d 100644 --- a/docs/projects/cms/contentserver.html +++ b/docs/projects/cms/contentserver.html @@ -2,20 +2,20 @@ - + contentserver | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/projects/cms/gocontentful.html b/docs/projects/cms/gocontentful.html index e53cbc7..a63f07b 100644 --- a/docs/projects/cms/gocontentful.html +++ b/docs/projects/cms/gocontentful.html @@ -2,20 +2,20 @@ - + Gocontentful | foomo project docs - - - + + +
-

Gocontentful

What is Contentful​

Contentful is a content platform (often referred to as headless CMS) for micro-content. There's no pages or content trees in Contentful, the CMS focuses on structured data. The data model is built from scratch for the purpose of the consuming application, is completely flexible and can be created and hot-changed through the same Web UI that the content editors use. The model dictates which content types can reference others and the final structure is a graph.

What is gocontentful​

A golang API code generator that simplifies interacting with a Contentful space. The generated API:

  • Supports most of the Contentful APIs to perform all read/write operation on entries and assets
  • Hides the complexity of the Contentful REST/JSON APIs behind an idiomatic set of golang functions and methods
  • Allows for in-memory caching of an entire Contentful space

Rationale​

Calling a remote CMS repository across the Internet whenever your service needs a piece of content is not an option because of latency and response time. Hence, you need to cache all the content at the running service and make sure your cache is always up-to-date. In addition, you need to deal with generic entries in JSON format and maintain a Go model with value objects to reflect every change at the CMS' content model, writing functions and methods to import and export entries to/from typed objects.

Trust me: both things quickly scale to royal-PITA level.

Gocontentful wipes out both complexities by generating the content model automatically and providing an idiomatic API to handle interaction with remote content while keeping a cache stays constantly in-sync with the Contentful space. If the content model changes, running gocontentful again will update the Go code for the model and API to reflect those changes automatically.

How much code is that? As an example of a real-world production scenario where gocontentful is in use as of 2022, a space content model with 11 content types ranging from 3 to over 40 fields each generated around 50,000 lines of Go code. Do you need all those lines? You might not need all setters if you don't manage content through the API but you'll definitely need most of the getters otherwise those should not be in the model at all.

- - +

Gocontentful

What is Contentful​

Contentful is a content platform (often referred to as headless CMS) for micro-content. There's no pages or content trees in Contentful, the CMS focuses on structured data. The data model is built from scratch for the purpose of the consuming application, is completely flexible and can be created and hot-changed through the same Web UI that the content editors use. The model dictates which content types can reference others and the final structure is a graph.

What is gocontentful​

A golang API code generator that simplifies interacting with a Contentful space. The generated API:

  • Supports most of the Contentful APIs to perform all read/write operation on entries and assets
  • Hides the complexity of the Contentful REST/JSON APIs behind an idiomatic set of golang functions and methods
  • Allows for in-memory caching of an entire Contentful space

Rationale​

Calling a remote CMS repository across the Internet whenever your service needs a piece of content is not an option because of latency and response time. Hence, you need to cache all the content at the running service and make sure your cache is always up-to-date. In addition, you need to deal with generic entries in JSON format and maintain a Go model with value objects to reflect every change at the CMS' content model, writing functions and methods to import and export entries to/from typed objects.

Trust me: both things quickly scale to royal-PITA level.

Gocontentful wipes out both complexities by generating the content model automatically and providing an idiomatic API to handle interaction with remote content while keeping a cache stays constantly in-sync with the Contentful space. If the content model changes, running gocontentful again will update the Go code for the model and API to reflect those changes automatically.

How much code is that? As an example of a real-world production scenario where gocontentful is in use as of 2022, a space content model with 11 content types ranging from 3 to over 40 fields each generated around 50,000 lines of Go code. Do you need all those lines? You might not need all setters if you don't manage content through the API but you'll definitely need most of the getters otherwise those should not be in the model at all.

+ + \ No newline at end of file diff --git a/docs/projects/cms/gocontentful/api-reference.html b/docs/projects/cms/gocontentful/api-reference.html index b18bfcf..d261f6f 100644 --- a/docs/projects/cms/gocontentful/api-reference.html +++ b/docs/projects/cms/gocontentful/api-reference.html @@ -2,62 +2,62 @@ - + API Reference | foomo project docs - - - + + +
-

API Reference

Client and cache​

NewContentfulClient(
    spaceID string, 
    clientMode string, 
    clientKey string, 
    optimisticPageSize uint16, 
    logFn func(fields map[string]interface{}, level int, args ...interface{}), 
    logLevel int, 
    debug bool,
    ) (*ContentfulClient, error)

Creates a Contentful client, read this for an explanation of all parameters.

SetOfflineFallback(filename string) error

Sets a path to a space export JSON file to be used as a fallback in case +

API Reference

Client and cache​

NewContentfulClient(
    spaceID string, 
    clientMode string, 
    clientKey string, 
    optimisticPageSize uint16, 
    logFn func(fields map[string]interface{}, level int, args ...interface{}), 
    logLevel int, 
    debug bool,
    ) (*ContentfulClient, error)

Creates a Contentful client, read this for an explanation of all parameters.

SetOfflineFallback(filename string) error

Sets a path to a space export JSON file to be used as a fallback in case Contentful is not reachable when you call UpdateCache() on the client. This ensures availability -but can make your content look outdated if the export file is older (and typically it is).

NewOfflineContentfulClient(
    filename string, 
    logFn func(fields map[string]interface{}, level int, args ...interface{}), 
    logLevel int, 
    cacheAssets bool,
    ) (*ContentfulClient, error)

Creates an offline Contentful client that loads space data from a JSON file containing a space export. 

(cc *ContentfulClient) SetEnvironment(environment string)

Sets the Contentful client's environment. All subsequent API calls will be directed to that environment in the selected -space. Pass an empty string to reset to the master environment.

(cc *ContentfulClient) CacheHasContentType(contentTypeID string) bool

Returns true if the specified contentTypeID is cached by the client, false otherwise.

(cc *ContentfulClient) SetCacheUpdateTimeout(seconds int64)

Sets the cache update timeout to the specified length. A new client by default times out +but can make your content look outdated if the export file is older (and typically it is).

NewOfflineContentfulClient(
    filename string, 
    logFn func(fields map[string]interface{}, level int, args ...interface{}), 
    logLevel int, 
    cacheAssets bool,
    ) (*ContentfulClient, error)

Creates an offline Contentful client that loads space data from a JSON file containing a space export. 

(cc *ContentfulClient) SetEnvironment(environment string)

Sets the Contentful client's environment. All subsequent API calls will be directed to that environment in the selected +space. Pass an empty string to reset to the master environment.

(cc *ContentfulClient) CacheHasContentType(contentTypeID string) bool

Returns true if the specified contentTypeID is cached by the client, false otherwise.

(cc *ContentfulClient) SetCacheUpdateTimeout(seconds int64)

Sets the cache update timeout to the specified length. A new client by default times out caching in 120 seconds. A timeout is used to prevent deadlocks when a service panics and recovers while the gocontentful goroutines are running and the main caching job is waiting for all -them to finish.

(cc *ContentfulClient) SetSyncMode(mode bool) error

Switches on/off the cache sync mode. This method will return an error if called on an offline client. 

(cc *ContentfulClient) ResetSync()

Resets the sync token: the next call to UpdateCache() will rebuild the cache from scratch.

(cc *ContentfulClient) UpdateCache(ctx context.Context, contentTypes []string, cacheAssets bool) error

Builds or re-builds the entire client cache.

(cc *ContentfulClient) UpdateCacheForEntity(ctx context.Context, sysType string, contentType string, entityID string) error

Updates a single entry or asset (the sysType can take const sysTypeEntry or sysTypeAsset values) in the cache.

Content functions and methods​

For these we're assuming a content type named "Person".

NewCfPerson(contentfulClient ...*ContentfulClient) (cfPerson *CfPerson)

Creates a new Person entry. You can manipulate and upsert this later. The contentfulClient parameter is optional but you -might want to pass it most of the times or you won't be able to save the entry.

(cc *ContentfulClient) GetAllPerson() (voMap map[string]*CfPerson, err error)

Retrieves all Person entries from the client and returnes a map where the key is the ID of the entry and the value is -the Go value object for that entry.

(cc *ContentfulClient) GetFilteredPerson(query *contentful.Query) (voMap map[string]*CfPerson, err error)

Retrieves Person entries matching the specified query.

(cc *ContentfulClient) GetPersonByID(id string, forceNoCache ...bool) (vo *CfPerson, err error)

Retrieves the Person entry with the specified ID. The optional forceNoCache parameter, if true, -makes the function bypass the existing cache and load a fresh copy of the entry from Contentful.

(ref ContentfulReferencedEntry) ContentType() (contentType string)

Returns the Sys.ID of the content type of the referenced entry

(cc *ContentfulClient) GetContentTypeOfID(ID string) (contentType string)

Returns the Contentful content type of an entry ID.

(vo *CfPerson) ToReference() (refSys ContentTypeSys)

Converts a value object into a reference that can be added to a reference field of an entry. Note that functions that +them to finish.

(cc *ContentfulClient) SetSyncMode(mode bool) error

Switches on/off the cache sync mode. This method will return an error if called on an offline client. 

(cc *ContentfulClient) ResetSync()

Resets the sync token: the next call to UpdateCache() will rebuild the cache from scratch.

(cc *ContentfulClient) UpdateCache(ctx context.Context, contentTypes []string, cacheAssets bool) error

Builds or re-builds the entire client cache.

(cc *ContentfulClient) UpdateCacheForEntity(ctx context.Context, sysType string, contentType string, entityID string) error

Updates a single entry or asset (the sysType can take const sysTypeEntry or sysTypeAsset values) in the cache.

Content functions and methods​

For these we're assuming a content type named "Person".

NewCfPerson(contentfulClient ...*ContentfulClient) (cfPerson *CfPerson)

Creates a new Person entry. You can manipulate and upsert this later. The contentfulClient parameter is optional but you +might want to pass it most of the times or you won't be able to save the entry.

(cc *ContentfulClient) GetAllPerson() (voMap map[string]*CfPerson, err error)

Retrieves all Person entries from the client and returnes a map where the key is the ID of the entry and the value is +the Go value object for that entry.

(cc *ContentfulClient) GetFilteredPerson(query *contentful.Query) (voMap map[string]*CfPerson, err error)

Retrieves Person entries matching the specified query.

(cc *ContentfulClient) GetPersonByID(id string, forceNoCache ...bool) (vo *CfPerson, err error)

Retrieves the Person entry with the specified ID. The optional forceNoCache parameter, if true, +makes the function bypass the existing cache and load a fresh copy of the entry from Contentful.

(ref ContentfulReferencedEntry) ContentType() (contentType string)

Returns the Sys.ID of the content type of the referenced entry

(cc *ContentfulClient) GetContentTypeOfID(ID string) (contentType string)

Returns the Contentful content type of an entry ID.

(vo *CfPerson) ToReference() (refSys ContentTypeSys)

Converts a value object into a reference that can be added to a reference field of an entry. Note that functions that retrieve referenced entries return a more flexible and useful []*EntryReference (see Quickstart above) but to store -a reference you need a ContentTypeSys.

(vo *CfPerson) GetParents() (parents []EntryReference, err error)
(ref *EntryReference) GetParents(cc *ContentfulClient) (parents []EntryReference, err error)

Return a slice of EntryReference objects that represent entries that reference the value object or the entry reference.

Note that in case of parents of an entry reference you need to pass a pointer to a ContentfulClient because -EntryReference objects are generic and can't carry any.

(vo *CfPerson) GetPublishingStatus() string

Returns the publishing status of the entry as per the Contentful editor UI. -Value returned is one of the following:

const (
  StatusDraft     = "draft"
  StatusChanged   = "changed"
  StatusPublished = "published"
)

Entry field getters and setters​

Field getters are named after the field ID in Contentful and return the proper type. For example, if the Person content -type has a Symbol (short text) field named 'Name', this will be the getter:

(vo *CfPerson) Name(locale ...string) (string)

The locale parameter is optional and if not passed, the function will return the value for the default locale of the +a reference you need a ContentTypeSys.

(vo *CfPerson) GetParents() (parents []EntryReference, err error)
(ref *EntryReference) GetParents(cc *ContentfulClient) (parents []EntryReference, err error)

Return a slice of EntryReference objects that represent entries that reference the value object or the entry reference.

Note that in case of parents of an entry reference you need to pass a pointer to a ContentfulClient because +EntryReference objects are generic and can't carry any.

(vo *CfPerson) GetPublishingStatus() string

Returns the publishing status of the entry as per the Contentful editor UI. +Value returned is one of the following:

const (
  StatusDraft     = "draft"
  StatusChanged   = "changed"
  StatusPublished = "published"
)

Entry field getters and setters​

Field getters are named after the field ID in Contentful and return the proper type. For example, if the Person content +type has a Symbol (short text) field named 'Name', this will be the getter:

(vo *CfPerson) Name(locale ...string) (string)

The locale parameter is optional and if not passed, the function will return the value for the default locale of the space. If the locale is specified and it's not available for the space, an error is returned. If the locale is valid but a value doesn't exist for the field and locale, the function will return the value for the default locale if that's specified as a fallback locale in the space definition in Contentful, otherwise will return an error.

Possible return types are:

  • string for fields of types Symbol, Text, Date
  • []string for fields of type List
  • float64 for fields of type Integer or Number
  • bool for fields of type Boolean
  • *ContentTypeSys for single reference fields
  • []*ContentTypeSys for multiple reference fields
  • *ContentTypeFieldLocation for fields of type Location
  • *interface{} for fields of type Object or RichText

If logLevel is set to LogDebug retrieving the value of a field that is not set and so not available in the API response even as a fallback to the default locale will log the event. This can become incredibly verbose, use with care.

Field setters are named after the field ID in Contentful and require to pass in the proper type. See FIELD GETTERS above -for a reference. Example:

(vo *CfPerson) SetName(title string, locale ...string) (err error)

Entry write ops (only available for ClientModeCMA)​

(vo *CfPerson) UpsertEntry(cc *ContentfulClient) (err error)

Upserts the entry. This will appear as "Draft" (if it's a new entry) or "Changed" if it's already existing. In the +for a reference. Example:

(vo *CfPerson) SetName(title string, locale ...string) (err error)

Entry write ops (only available for ClientModeCMA)​

(vo *CfPerson) UpsertEntry(cc *ContentfulClient) (err error)

Upserts the entry. This will appear as "Draft" (if it's a new entry) or "Changed" if it's already existing. In the latter case, you will need to retrieve the entry with one of the Manage* functions above to acquire the Sys object -that contains the version information. Otherwise the API call will fail with a "Version mismatch" error.

(vo *CfPerson) PublishEntry(cc *ContentfulClient) (err error)

Publishes the entry. Note that before publishing you will need to retrieve the entry with one of the Manage* functions +that contains the version information. Otherwise the API call will fail with a "Version mismatch" error.

(vo *CfPerson) PublishEntry(cc *ContentfulClient) (err error)

Publishes the entry. Note that before publishing you will need to retrieve the entry with one of the Manage* functions above to acquire the Sys object that contains the version information. Otherwise the API call will fail with a "Version -mismatch" error. This is needed even if you have just upserted the entry with the function above!

(vo *CfPerson) UnpublishEntry(cc *ContentfulClient) (err error)

Unpublishes the entry. Note that before unpublishing you will need to retrieve the entry with one of the Manage* +mismatch" error. This is needed even if you have just upserted the entry with the function above!

(vo *CfPerson) UnpublishEntry(cc *ContentfulClient) (err error)

Unpublishes the entry. Note that before unpublishing you will need to retrieve the entry with one of the Manage* functions above to acquire the Sys object that contains the version information. Otherwise the API call will fail with -a "Version mismatch" error. This is needed even if you have just upserted the entry with the function above!

(vo *CfPerson) UpdateEntry(cc *ContentfulClient) (err error)

Shortcut function that upserts and publishes the entry. Note that before calling this you will need to retrieve the +a "Version mismatch" error. This is needed even if you have just upserted the entry with the function above!

(vo *CfPerson) UpdateEntry(cc *ContentfulClient) (err error)

Shortcut function that upserts and publishes the entry. Note that before calling this you will need to retrieve the entry with one of the Manage* functions above to acquire the Sys object that contains the version information. Otherwise -the API call will fail with a "Version mismatch" error. Using this shortcut function avoids retrieving the entry twice.

(vo *CfPerson) DeleteEntry(cc *ContentfulClient) (err error)

Unpublishes and deletes the entry

Asset functions​

(cc *ContentfulClient) DeleteAsset(asset *contentful.Asset) error

Deletes an asset from the space (only available in CMA)

(cc *ContentfulClient) DeleteAssetFromCache(key string) error {

Deletes an asset from the client's cache

(cc *ContentfulClient) GetAllAssets() (map[string]*contentful.Asset, error)

Retrieve all assets from a space

(cc *ContentfulClient) GetAssetByID(id string, forceNoCache ...bool) (*contentful.Asset, error)

Retrieve an asset from a space by its ID. The optional forceNoCache parameter, if true, -makes the function bypass the existing cache and load a fresh copy of the asset from Contentful.

NewAssetFromURL(id string, uploadUrl string, imageFileType string, title string, locale ...string) *contentful.Asset

Creates an Asset from an URL of an existing file online (you still need to upsert it later).

ToAssetReference(asset *contentful.Asset) (refSys ContentTypeSys)

Converts the asset to a reference. You need to do this before you add the asset to a reference field of an entry.

(cc *ContentfulClient) DeleteAsset(asset *contentful.Asset) error

Deletes an asset from a space by its ID (only available for ClientModeCMA)

Other helper functions and methods​

(cc *ContentfulClient) BrokenReferences() (brokenReferences []BrokenReference)

Returns a slice of BrokenReference objects with details of where entries have been +the API call will fail with a "Version mismatch" error. Using this shortcut function avoids retrieving the entry twice.

(vo *CfPerson) DeleteEntry(cc *ContentfulClient) (err error)

Unpublishes and deletes the entry

Asset functions​

(cc *ContentfulClient) DeleteAsset(asset *contentful.Asset) error

Deletes an asset from the space (only available in CMA)

(cc *ContentfulClient) DeleteAssetFromCache(key string) error {

Deletes an asset from the client's cache

(cc *ContentfulClient) GetAllAssets() (map[string]*contentful.Asset, error)

Retrieve all assets from a space

(cc *ContentfulClient) GetAssetByID(id string, forceNoCache ...bool) (*contentful.Asset, error)

Retrieve an asset from a space by its ID. The optional forceNoCache parameter, if true, +makes the function bypass the existing cache and load a fresh copy of the asset from Contentful.

NewAssetFromURL(id string, uploadUrl string, imageFileType string, title string, locale ...string) *contentful.Asset

Creates an Asset from an URL of an existing file online (you still need to upsert it later).

ToAssetReference(asset *contentful.Asset) (refSys ContentTypeSys)

Converts the asset to a reference. You need to do this before you add the asset to a reference field of an entry.

(cc *ContentfulClient) DeleteAsset(asset *contentful.Asset) error

Deletes an asset from a space by its ID (only available for ClientModeCMA)

Other helper functions and methods​

(cc *ContentfulClient) BrokenReferences() (brokenReferences []BrokenReference)

Returns a slice of BrokenReference objects with details of where entries have been referenced but they are not found in the cache. This might naturally return false -positives for content types that are in the space but not included in the cache.

FieldToObject(jsonField interface{}, targetObject interface{}) error

Converts a JSON field into an object. Make sure you pass a pointer to an object which type has JSON definition for all -fields you want to retrieve.

HtmlToRichText(htmlSrc string) *RichTextNode

Converts an HTML fragment to a RichTextNode. This is useful to migrate data from third-party systems to Contentful or +positives for content types that are in the space but not included in the cache.

FieldToObject(jsonField interface{}, targetObject interface{}) error

Converts a JSON field into an object. Make sure you pass a pointer to an object which type has JSON definition for all +fields you want to retrieve.

HtmlToRichText(htmlSrc string) *RichTextNode

Converts an HTML fragment to a RichTextNode. This is useful to migrate data from third-party systems to Contentful or support HTML paste operations in Web applications. It currently supports headings, paragraphs, hyperlinks, italic and bold tags, horizontal rules, blockquote, ordered and unordered lists, code. Unknown tags are stripped. This function -doesn't return any error as it converts the input text into something as good as possible, without validation.

RichTextToHtml(rt interface{}, linkResolver LinkResolverFunc, entryLinkResolver EntryLinkResolverFunc, imageResolver ImageResolverFunc, locale Locale) (string, error) {

Converts an interface representing a Contentful RichText value (usually from a field getter) into HTML. +doesn't return any error as it converts the input text into something as good as possible, without validation.

RichTextToHtml(rt interface{}, linkResolver LinkResolverFunc, entryLinkResolver EntryLinkResolverFunc, imageResolver ImageResolverFunc, locale Locale) (string, error) {

Converts an interface representing a Contentful RichText value (usually from a field getter) into HTML. The function takes in three (optional) functions as parameters to resolve hyperlink URLs, permalinks to entries and to derive IMG tag attributes for embedded image assets. The three functions return a map of attributes for the HTML tag the RichTextToHtml function will emit (either an A or an IMG) and have the following signature. Note that the ImageResolverFunc function must return a customHTML value that can be empty but if set it will substitute the IMG tag with the returned HTML snippet. This allows you to emit custom mark-up for your -images, e.g. a PICTURE tag.

type LinkResolverFunc func(url string) (resolvedAttrs map[string]string, resolveError error)

type EntryLinkResolverFunc func(entryID string, locale Locale) (resolvedAttrs map[string]string, resolveError error)

type ImageResolverFunc func(assetID string, locale Locale) (attrs map[string]string, customHTML string, resolveError error)

type EmbeddedEntryResolverFunc func(entryID string, locale Locale) (html string, resolveError error)

All the three functions above can be passed as nil with different levels of graceful degrading.

Constants and global variables​

Each generated content type library file exports a constant with the Contentful ID of the content type itself, for -example in contentful_vo_lib_person.go:

const ContentTypePerson = "person"

Constants are available for each locale supported by the space at the time of code generation, e.g.:

const SpaceLocaleGerman Locale = "de"
const SpaceLocaleFrench Locale = "fr"
const defaultLocale Locale = SpaceLocaleGerman

Four levels of logging are supported (even if only partially used at this time):

const (
    LogDebug = 0
    LogInfo  = 1
    LogWarn  = 2
    LogError = 3
)

A global variable named SpaceContentTypeInfoMap contains an ID-indexed map of all content types -with their names and descriptions

- - +images, e.g. a PICTURE tag.

type LinkResolverFunc func(url string) (resolvedAttrs map[string]string, resolveError error)

type EntryLinkResolverFunc func(entryID string, locale Locale) (resolvedAttrs map[string]string, resolveError error)

type ImageResolverFunc func(assetID string, locale Locale) (attrs map[string]string, customHTML string, resolveError error)

type EmbeddedEntryResolverFunc func(entryID string, locale Locale) (html string, resolveError error)

All the three functions above can be passed as nil with different levels of graceful degrading.

Constants and global variables​

Each generated content type library file exports a constant with the Contentful ID of the content type itself, for +example in contentful_vo_lib_person.go:

const ContentTypePerson = "person"

Constants are available for each locale supported by the space at the time of code generation, e.g.:

const SpaceLocaleGerman Locale = "de"
const SpaceLocaleFrench Locale = "fr"
const defaultLocale Locale = SpaceLocaleGerman

Four levels of logging are supported (even if only partially used at this time):

const (
    LogDebug = 0
    LogInfo  = 1
    LogWarn  = 2
    LogError = 3
)

A global variable named SpaceContentTypeInfoMap contains an ID-indexed map of all content types +with their names and descriptions

+ + \ No newline at end of file diff --git a/docs/projects/cms/gocontentful/caching.html b/docs/projects/cms/gocontentful/caching.html index ea2c979..304ab9d 100644 --- a/docs/projects/cms/gocontentful/caching.html +++ b/docs/projects/cms/gocontentful/caching.html @@ -2,23 +2,23 @@ - + Caching | foomo project docs - - - + + +
-

Caching

Caching is a fundamental part of working with remote data across the Internet, +

Caching

Caching is a fundamental part of working with remote data across the Internet, where access is severely impacted by latency and transfer time. In real-world scenarios, you'll always need to keep all the data you need close and sync the changes with the remote CMS when they happen.

Gocontentful supports caching out of the box. The client can maintain a cache of an entire space -or a subset of the content types that can be initialized with a single method call:

contentTypes := []string{"person", "pet"}
err = cc.UpdateCache(context, contentTypes, true)

This makes sense for client modes ClientModeCDA and ClientModeCPA and not for the management API. +or a subset of the content types that can be initialized with a single method call:

contentTypes := []string{"person", "pet"}
err = cc.UpdateCache(context, contentTypes, true)

This makes sense for client modes ClientModeCDA and ClientModeCPA and not for the management API. The client will download all the entries, convert and store them in the case as native Go value objects. This makes subsequent accesses to the space data an in-memory operation removing all the HTTP overhead.

The first parameter is the context. If you don't use a context in your application or service just pass context.Background()

The third parameter of UpdateCache toggles asset caching on or off. If you deal with assets you want this to be always on.

Full cache init and rebuild​

By default the client will cache the whole space using 4 parallel workers to speed up the process. @@ -26,7 +26,7 @@ This is safe since Contentful allows up to 5 concurrent connections. If you have content types that have a lot of entries, it might make sense to keep them close to each other in the content types slice passed to UpdateCache(), so that they will run in parallel and not one after the other.

All gocontentful functions that query the space cache-transparent: if a cache is available data will be loaded from there, otherwise it will be sourced from Contentful. This doesn't apply to GetFilteredXYZ() calls that -always need to pass the query to Contentful.

Gocontentful also supports selective entry and asset cache updates through the following method:

err = cc.UpdateCacheForEntity(context, sysType, contentType, entityID string)

When something changes in the space at Contentful you need to update the cache. For this to happen you need to set +always need to pass the query to Contentful.

Gocontentful also supports selective entry and asset cache updates through the following method:

err = cc.UpdateCacheForEntity(context, sysType, contentType, entityID string)

When something changes in the space at Contentful you need to update the cache. For this to happen you need to set up a webhook at Contentful and handle its calls in your service through a public HTTP listener. When a webhook call gets in, you have the choice of updating your cache in different ways:

  • You can regenerate the entire CDA cache when something is published because you want production data to be 100% up to date in your application. This can get slow and expensive.
  • You can alternatively update a single entry in the cache. This is usually the case for the CPA cache because @@ -36,7 +36,7 @@ in an offline mode if you call SetOfflineFallback on the client after y features are available (pretty obviously, those that don't require live access to the space, like custom queries). If you update the export file periodically you can even update the cache from the updated file.

    Sync API support​

    In versions v1.0.12 and newer, gocontentful supports the Contentful Sync API and that's now the recommended way to cache spaces and manage updates. Sync is enabled by default when you create a client with CDA mode. -To enable or disable support for the Sync API explicitly, you can call the SetSyncMode method on the client:

    cc.SetSyncMode(true)

    With sync on, the cache updates will happen transparently through downloads of incremental changes. +To enable or disable support for the Sync API explicitly, you can call the SetSyncMode method on the client:

    cc.SetSyncMode(true)

    With sync on, the cache updates will happen transparently through downloads of incremental changes. The syntax to update the cache doesn't change, just call UpdateCache on the client as usual.

    The initialization of the cache will be slower when SyncMode is on compared to the legacy full cache init because sync calls cannot be parallelized. Subsequent updates though will be much faster because only changes in the space from the previous sync will be downloaded. This includes entries and assets that were deleted. In case of need you can call ResetSync() to start over from a fresh empty cache.

    Note that the Sync API is not officially supported by Contentful on the Preview API. At the time of this writing it seems to work but use it at your own risk.

    Cache timeout​

    Cache update operations time out by default after 120 seconds. This makes sure that no @@ -49,8 +49,8 @@ a cache on the client is better is when you only need to download a very limited of entries (in the order of less than some hundreds) and do that at significant distance in time (e.g. every hour). In this case your application code can be simpler and there won't be any performance penalty. The other case is when you need to run a lot of custom queries or -use XPath, which is currently not supported by gocontentful directly.

- - +use XPath, which is currently not supported by gocontentful directly.

+ + \ No newline at end of file diff --git a/docs/projects/cms/gocontentful/getting-started.html b/docs/projects/cms/gocontentful/getting-started.html index dc458e6..4cbcd48 100644 --- a/docs/projects/cms/gocontentful/getting-started.html +++ b/docs/projects/cms/gocontentful/getting-started.html @@ -2,25 +2,25 @@ - + Getting started | foomo project docs - - - + + +
-

Getting started

Installation​

Prerequisite: you need Go 1.16+. Upgrade if you still haven't, then run:

go get github.com/foomo/gocontentful

If you trust us there are precompiled versions on Github

On the mac:

brew install foomo/gocontentful/gocontentful

Test the installation (make sure $GOPATH/bin is in your $PATH):

$ gocontentful -version
v1.0.13

Optional tools​

Gocontentful requires a CMA API key to scan the Contentful space and generate the model. +

Getting started

Installation​

Prerequisite: you need Go 1.16+. Upgrade if you still haven't, then run:

go get github.com/foomo/gocontentful

If you trust us there are precompiled versions on Github

On the mac:

brew install foomo/gocontentful/gocontentful

Test the installation (make sure $GOPATH/bin is in your $PATH):

$ gocontentful -version
v1.0.13

Optional tools​

Gocontentful requires a CMA API key to scan the Contentful space and generate the model. This can be passed as a CLI parameter but that's tedious and your management key will remain in your shell history. A better approach is to log in to Contentful using the official Contentful CLI. Gocontentful will get the key automatically. -To install the CLI refer to the official documentation at Contentful.com.

After installing the CLI log in inside your terminal with:

$ contentful login
$ gocontentful

ERROR: Please specify either a Contentful Space ID and CMA access token or an export file name

SYNOPSIS
  gocontentful -spaceid SpaceID -cmakey CMAKey [-contenttypes firsttype,secondtype...lasttype] path/to/target/package

  -cmakey string
        [Optional] Contentful CMA key
  -contenttypes string
        [Optional] Content type IDs to parse, comma separated
  -environment string
        [Optional] Contentful space environment
  -exportfile string
        Space export file to generate the API from
  -help
        Print version and exit
  -spaceid string
        Contentful space ID
  -version
        Print version and exit

Notes:
- The last segment of the path/to/target/package will be used as package name
- The -cmakey parameter can be omitted if you logged in with the Contentful CLI

Notes:

  • The last segment of the path/to/target/package will be used as package name
  • You need to pass gocontentful either cmakey/spaceid (and optional environment) to generate +To install the CLI refer to the official documentation at Contentful.com.

    After installing the CLI log in inside your terminal with:

    $ contentful login
    $ gocontentful

    ERROR: Please specify either a Contentful Space ID and CMA access token or an export file name

    SYNOPSIS
      gocontentful -spaceid SpaceID -cmakey CMAKey [-contenttypes firsttype,secondtype...lasttype] path/to/target/package

      -cmakey string
            [Optional] Contentful CMA key
      -contenttypes string
            [Optional] Content type IDs to parse, comma separated
      -environment string
            [Optional] Contentful space environment
      -exportfile string
            Space export file to generate the API from
      -help
            Print version and exit
      -spaceid string
            Contentful space ID
      -version
            Print version and exit

    Notes:
    - The last segment of the path/to/target/package will be used as package name
    - The -cmakey parameter can be omitted if you logged in with the Contentful CLI

    Notes:

    • The last segment of the path/to/target/package will be used as package name
    • You need to pass gocontentful either cmakey/spaceid (and optional environment) to generate the API from a live space or exportfile to generate it from a local space export file. The cmakey -can be omitted if you are logged in through the Contentful CLI.
- - +can be omitted if you are logged in through the Contentful CLI.
+ + \ No newline at end of file diff --git a/docs/projects/cms/gocontentful/test-api.html b/docs/projects/cms/gocontentful/test-api.html index e365d10..a731b0a 100644 --- a/docs/projects/cms/gocontentful/test-api.html +++ b/docs/projects/cms/gocontentful/test-api.html @@ -2,40 +2,40 @@ - + Play with the test API | foomo project docs - - - + + +
-

Play with the test API

Clone the gocontentful repository from [github.com/foomo/gocontentful] and open it +

Play with the test API

Clone the gocontentful repository from [github.com/foomo/gocontentful] and open it in your IDE.

The repository includes an offline representation of a Contentful space that can is used for testing gocontentful without depending on an online connection and an existing Contentful space.

Create a file in the repository home directory and name it untracked_test.go. This ensures it's not tracked by git. -Paste the following into the file:

package main

import (
    "testing"

    "github.com/foomo/gocontentful/test"
    "github.com/foomo/gocontentful/test/testapi"
    "github.com/sirupsen/logrus"
    "github.com/stretchr/testify/require"
)

func TestTheAPI(t *testing.T) {
    testLogger := logrus.StandardLogger()
    cc, errClient := testapi.NewOfflineContentfulClient("./test/test-space-export.json",
        test.GetContenfulLogger(testLogger),
        test.LogDebug,
        true)
    require.NoError(t, errClient)
    prods, errProds := cc.GetAllProduct()
    require.NoError(t, errProds)
    testLogger.WithField("prods", len(prods)).Info("Loaded products")
}

The first two lines in the unit test create a logger and an offline gocontentful client. This also +Paste the following into the file:

package main

import (
    "testing"

    "github.com/foomo/gocontentful/test"
    "github.com/foomo/gocontentful/test/testapi"
    "github.com/sirupsen/logrus"
    "github.com/stretchr/testify/require"
)

func TestTheAPI(t *testing.T) {
    testLogger := logrus.StandardLogger()
    cc, errClient := testapi.NewOfflineContentfulClient("./test/test-space-export.json",
        test.GetContenfulLogger(testLogger),
        test.LogDebug,
        true)
    require.NoError(t, errClient)
    prods, errProds := cc.GetAllProduct()
    require.NoError(t, errProds)
    testLogger.WithField("prods", len(prods)).Info("Loaded products")
}

The first two lines in the unit test create a logger and an offline gocontentful client. This also caches the content of the space in memory and lets you play with the API. The space includes three content types (brand, product and category) and their relative entries. A product has a reference to a brand and to one or more categories. If you open the ./test/test-space-export.json file you can see how the JSON representation of those entries is.

Getting all the products using the Contentful Content Delivery API would normally require dealing with the connection, query and JSON payload, having value object defined for all content types and functions to convert from/to those structs. With the Go API generated -by gocontentful all you need to do to load all the products looks like this single line:

    prods, errProds := cc.GetAllProduct()

Open a terminal and from the repository home directory run the test. Your output should looks similar to this:

$ go test -run TestTheAPI
INFO[0000] loading space from local file                 assets=12 entries=9
INFO[0000] contentful cache update queued                task=UpdateCache
INFO[0000] contentful cache worker starting              task=UpdateCache
INFO[0000] gonna use a local file                        task=UpdateCache
INFO[0000] cached all entries of content type            contentType=product method=updateCacheForContentType size=4
INFO[0000] cached all assets                             contentType=asset method=updateCacheForContentType size=12
INFO[0000] cached all entries of content type            contentType=brand method=updateCacheForContentType size=3
INFO[0000] cached all entries of content type            contentType=category method=updateCacheForContentType size=2
INFO[0000] space caching done, time recorded             task=UpdateCache time elapsed=179.357792ms
INFO[0000] contentful cache update returning             task=UpdateCache
INFO[0000] contentful cache update returning             task=UpdateCache
INFO[0000] Loaded products                               prods=4
PASS
ok      github.com/foomo/gocontentful   0.484s

The last line shows that we loaded 4 products. Let's go ahead and play with the API. -We'll load a specific product and log its name. Add this at the end of the unit test:

prod, errProd := cc.GetProductByID("6dbjWqNd9SqccegcqYq224")
require.NoError(t, errProd)
prodName := prod.ProductName("de")
testLogger.WithField("name", prodName).Info("Product loaded")

This will be the output at the end of the log when you run the test:

INFO[0000] Product loaded                                name="Whisk Beater"

The first line loads the product from the space. This is a *testapi.CfProduct pointer. The type is generated +by gocontentful all you need to do to load all the products looks like this single line:

    prods, errProds := cc.GetAllProduct()

Open a terminal and from the repository home directory run the test. Your output should looks similar to this:

$ go test -run TestTheAPI
INFO[0000] loading space from local file                 assets=12 entries=9
INFO[0000] contentful cache update queued                task=UpdateCache
INFO[0000] contentful cache worker starting              task=UpdateCache
INFO[0000] gonna use a local file                        task=UpdateCache
INFO[0000] cached all entries of content type            contentType=product method=updateCacheForContentType size=4
INFO[0000] cached all assets                             contentType=asset method=updateCacheForContentType size=12
INFO[0000] cached all entries of content type            contentType=brand method=updateCacheForContentType size=3
INFO[0000] cached all entries of content type            contentType=category method=updateCacheForContentType size=2
INFO[0000] space caching done, time recorded             task=UpdateCache time elapsed=179.357792ms
INFO[0000] contentful cache update returning             task=UpdateCache
INFO[0000] contentful cache update returning             task=UpdateCache
INFO[0000] Loaded products                               prods=4
PASS
ok      github.com/foomo/gocontentful   0.484s

The last line shows that we loaded 4 products. Let's go ahead and play with the API. +We'll load a specific product and log its name. Add this at the end of the unit test:

prod, errProd := cc.GetProductByID("6dbjWqNd9SqccegcqYq224")
require.NoError(t, errProd)
prodName := prod.ProductName("de")
testLogger.WithField("name", prodName).Info("Product loaded")

This will be the output at the end of the log when you run the test:

INFO[0000] Product loaded                                name="Whisk Beater"

The first line loads the product from the space. This is a *testapi.CfProduct pointer. The type is generated and carries all the getter and setter methods to access all the fields and more, e.g. ProductName(). Note that when calling ProductName() we passed "de" as a parameter. This is the locale and it's entirely optional and useful when your space supports multiple locales for translation. -If you omit it, the default space locale will be used.

Let's load the product's brand:

// Get the brand
brandReference := prod.Brand()
brand := brandReference.VO.(*testapi.CfBrand)
testLogger.WithField("name", brand.CompanyName()).Info("Brand")

Note a couple of things here:

  • The product has a Brand() method that represents and retrieves the reference from the product entry to the brand entry
  • The returned object is not a *testapi.CfBrand pointer as you might expect. This is because a reference field in Contentful +If you omit it, the default space locale will be used.

    Let's load the product's brand:

    // Get the brand
    brandReference := prod.Brand()
    brand := brandReference.VO.(*testapi.CfBrand)
    testLogger.WithField("name", brand.CompanyName()).Info("Brand")

    Note a couple of things here:

    • The product has a Brand() method that represents and retrieves the reference from the product entry to the brand entry
    • The returned object is not a *testapi.CfBrand pointer as you might expect. This is because a reference field in Contentful can point to entries of multiple content types and that doesn't play nice with Go's static typing. The object returned is a generic *testapi.EntryReference that, among other, includes an interface{} attribute (VO) that -is the actual *testapi.CfBrand. That's why in the second line we had to cast it.

    The test now logs the brand company name:

    INFO[0000] Brand                                         name="Normann Copenhagen"

    What if we want to follow the reference the other way around and find out which entries link to this brand?

    parentRefs, errParents := brand.GetParents()
    require.NoError(t, errParents)
    testLogger.WithField("parent count", len(parentRefs)).Info("Parents")
    for _, parentRef := range parentRefs {
        switch parentRef.ContentType {
        case testapi.ContentTypeProduct:
            parentProduct := parentRef.VO.(*testapi.CfProduct)
            testLogger.WithField("name", parentProduct.ProductName()).Info("Parent product")
        }
    }

    Again, the GetParents() method returns references and not objects. It's a good idea to use the reference ContentType attribute +is the actual *testapi.CfBrand. That's why in the second line we had to cast it.

The test now logs the brand company name:

INFO[0000] Brand                                         name="Normann Copenhagen"

What if we want to follow the reference the other way around and find out which entries link to this brand?

parentRefs, errParents := brand.GetParents()
require.NoError(t, errParents)
testLogger.WithField("parent count", len(parentRefs)).Info("Parents")
for _, parentRef := range parentRefs {
    switch parentRef.ContentType {
    case testapi.ContentTypeProduct:
        parentProduct := parentRef.VO.(*testapi.CfProduct)
        testLogger.WithField("name", parentProduct.ProductName()).Info("Parent product")
    }
}

Again, the GetParents() method returns references and not objects. It's a good idea to use the reference ContentType attribute to switch before casting the VO to the type, because as we just said referenced objects can come in different types and casting -to the wrong one would make the runtime panic. Running the test we find out the two products that belong to this brand:

INFO[0000] Parents                                       parent count=2
INFO[0000] Parent product                                name="Whisk Beater"
INFO[0000] Parent product                                name="Hudson Wall Cup"
- - +to the wrong one would make the runtime panic. Running the test we find out the two products that belong to this brand:

INFO[0000] Parents                                       parent count=2
INFO[0000] Parent product                                name="Whisk Beater"
INFO[0000] Parent product                                name="Hudson Wall Cup"
+ + \ No newline at end of file diff --git a/docs/projects/cms/gocontentful/working-with-gocontentful-api.html b/docs/projects/cms/gocontentful/working-with-gocontentful-api.html index 73f28a2..8091ce1 100644 --- a/docs/projects/cms/gocontentful/working-with-gocontentful-api.html +++ b/docs/projects/cms/gocontentful/working-with-gocontentful-api.html @@ -2,24 +2,24 @@ - + Working with the Gocontentful API | foomo project docs - - - + + +
-

Working with the Gocontentful API

Let's consider a very simple use case where you have a Contentful space where you store information +

Working with the Gocontentful API

Let's consider a very simple use case where you have a Contentful space where you store information about people and their pets. -To generate a go package to manipulate those entries, run the following in your terminal:

$ gocontentful -spaceid YOUR_SPACE_ID -cmakey YOUR_CMA_API_TOKEN -contenttypes person,pet path/to/your/go/project/folder/people

The -contenttypes parameter is optional. If not specified, gocontentful will generate an API that supports all the content types of the space.

Gocontentful will scan the space, download locales and content types and generate the Go API files in the target path:

path/to/your/go/project/folder/people
|-gocontentfulvobase.go
|-gocontentfulvolib_person.go // One file for each content type
|-gocontentfulvolib_pet.go    // One file for each content type
|-gocontentfulvolib.go
|-gocontentfulvo.go

We recommend not passing the -cmakey parameter but rather log in first using the Contentful CLI. +To generate a go package to manipulate those entries, run the following in your terminal:

$ gocontentful -spaceid YOUR_SPACE_ID -cmakey YOUR_CMA_API_TOKEN -contenttypes person,pet path/to/your/go/project/folder/people

The -contenttypes parameter is optional. If not specified, gocontentful will generate an API that supports all the content types of the space.

Gocontentful will scan the space, download locales and content types and generate the Go API files in the target path:

path/to/your/go/project/folder/people
|-gocontentfulvobase.go
|-gocontentfulvolib_person.go // One file for each content type
|-gocontentfulvolib_pet.go    // One file for each content type
|-gocontentfulvolib.go
|-gocontentfulvo.go

We recommend not passing the -cmakey parameter but rather log in first using the Contentful CLI. This will be remembered in all subsequent runs. See the Getting started chapter

Note: Do NOT modify the generated files! If you change the content model in Contentful just run gocontentful again. This will update the files for you.

Get a client​

The generated files will be in the "people" subdirectory of your project. Your go program can get a Contentful -client from them:

cc, err := people.NewContentfulClient(YOUR_SPACE_ID, people.ClientModeCDA, YOUR_API_KEY, 1000, contentfulLogger, people.LogDebug,false)

The parameters to pass to NewContentfulClient are:

  • spaceID (string)
  • clientMode (string) supports the constants ClientModeCDA, ClientModeCPA and ClientModeCMA. If you need to operate +client from them:

    cc, err := people.NewContentfulClient(YOUR_SPACE_ID, people.ClientModeCDA, YOUR_API_KEY, 1000, contentfulLogger, people.LogDebug,false)

    The parameters to pass to NewContentfulClient are:

    • spaceID (string)
    • clientMode (string) supports the constants ClientModeCDA, ClientModeCPA and ClientModeCMA. If you need to operate on multiple APIs (e.g. one for reading and CMA for writing) you need to get two clients
    • clientKey (string) is your API key (generate one for your API at Contentful)
    • optimisticPageSize (uint16) is the page size the client will use to download entries from the space for caching. Contentful's default is 100 but you can specify up to 1000: this might get you into an error because Contentful limits the payload response size to 70 KB but the client will handle the error and reduce the page size automatically @@ -29,41 +29,41 @@ trial-and-error and you need to find the best value for your case. For simple co for very complex ones that include fat fields you might want to get down to 100 or even less.
    • logFn is a func(fields map[string]interface{}, level int, args ...interface{}) that the client will call whenever it needs to log something. It can be nil if you don't need logging and that will be handled gracefully but it's not recommended. A simple function you can pass that uses the https://github.com/Sirupsen/logrus package might look -something like this:
    contentfulLogger := func(fields map[string]interface{}, level int, args ...interface{}) {
        switch level {
        case people.LogDebug:
            log.WithFields(fields).Debug(args)
        case people.LogInfo:
            log.WithFields(fields).Info(args)
        case people.LogWarn:
            log.WithFields(fields).Warn(args)
        case people.LogError:
            log.WithFields(fields).Error(args)
        default:
            return
        }
    }
    • logLevel (int) is the debug level (see function above). Please note that LogDebug is very verbose and even logs +something like this:
    contentfulLogger := func(fields map[string]interface{}, level int, args ...interface{}) {
        switch level {
        case people.LogDebug:
            log.WithFields(fields).Debug(args)
        case people.LogInfo:
            log.WithFields(fields).Info(args)
        case people.LogWarn:
            log.WithFields(fields).Warn(args)
        case people.LogError:
            log.WithFields(fields).Error(args)
        default:
            return
        }
    }
    • logLevel (int) is the debug level (see function above). Please note that LogDebug is very verbose and even logs when you request a field value but that is not set for the entry.
    • debug (bool) is the Contentful API client debug switch. If set to true it will log on stdout all the CURL calls to Contentful. This is extremely verbose and extremely valuable when something fails in a call to the API because it's the only way to see the REST API response.

    NOTE: Gocontentful provides an offline version of the client that can load data from a JSON space export file (as exported by the contentful CLI tool). This is the way you can write unit tests against your generated API that don't require to be online and the management of a safe API key storage. See the API Reference

    Environments support​

    Gocontentful supports Contentful environments in two ways:

    • Code can be generated loading the content model from an environment other than master. This is done passing the -environment flag on the command line to specify the environment you want to load the model from.
    • The gocontentful client in your application can be switched to any environment with the SetEnvironment method. -For example, if your space has an extra environment named "devplayground" you can switch the API to use it with:
    cc.SetEnvironment("devplayground")

    To reset the environment to master pass an empty string.

    Working with entries​

    See the previous chapter for an introduction on entry operations. -With your newly created client you can do things like:

    // Load all persons
    persons, err := cc.GetAllPerson() 
    // Load a specific person
    person, err := cc.GetPersonByID(THE_PERSON_ID)
    // or pass a query
    person, err := GetFilteredPerson(&contentful.Query{
        "contentType":"person",
        "exists": []string{"fields.resume"}
    })
    // The person's name
    name := person.Name()
    // The work title in a different localization. Available locales are generated as constants.
    // If a space is configured to have a fallback from one locale to the default one, 
    // the getter functions will return that if the value is not set for locale passed to the function.
    name := person.Title(people.SpaceLocaleItalian) 
    // Get references to the person's pets
    petRefs := person.Pets()
    // Deal with pets
    for _, pet := range petRefs {
    switch pet.ContentType {
    case people.ContentTypeDog: // you have these constants in the generated code
    dog := pet.VO.(*people.Dog)
    // do something with dog
    case people.ContentTypeCat:
    // ...
    }

    Once you have loaded an entry, you can use any of the setter methods to alter the fields. For example:

    dog.SetAge(7)

    This will only affect the Go object and doesn't automatically propagate to the space. -To save the entry to Contentful you need to explicitly call one of these methods:

    // Upsert (save) an entry
    err := dog.UpsertEntry()
    // Publish it (after it's been upserted)
    err := dog.PublishEntry() // change your mind with err := dog.UnpublishEntry()
    // Or do it in one step
    err := dog.UpdateEntry() // upserts and publishes
    // And delete it
    err := dog.DeleteEntry()

    If you want to know the publication status of an entry as represented in Contentful's UI you +For example, if your space has an extra environment named "devplayground" you can switch the API to use it with:

cc.SetEnvironment("devplayground")

To reset the environment to master pass an empty string.

Working with entries​

See the previous chapter for an introduction on entry operations. +With your newly created client you can do things like:

// Load all persons
persons, err := cc.GetAllPerson() 
// Load a specific person
person, err := cc.GetPersonByID(THE_PERSON_ID)
// or pass a query
person, err := GetFilteredPerson(&contentful.Query{
    "contentType":"person",
    "exists": []string{"fields.resume"}
})
// The person's name
name := person.Name()
// The work title in a different localization. Available locales are generated as constants.
// If a space is configured to have a fallback from one locale to the default one, 
// the getter functions will return that if the value is not set for locale passed to the function.
name := person.Title(people.SpaceLocaleItalian) 
// Get references to the person's pets
petRefs := person.Pets()
// Deal with pets
for _, pet := range petRefs {
switch pet.ContentType {
case people.ContentTypeDog: // you have these constants in the generated code
dog := pet.VO.(*people.Dog)
// do something with dog
case people.ContentTypeCat:
// ...
}

Once you have loaded an entry, you can use any of the setter methods to alter the fields. For example:

dog.SetAge(7)

This will only affect the Go object and doesn't automatically propagate to the space. +To save the entry to Contentful you need to explicitly call one of these methods:

// Upsert (save) an entry
err := dog.UpsertEntry()
// Publish it (after it's been upserted)
err := dog.PublishEntry() // change your mind with err := dog.UnpublishEntry()
// Or do it in one step
err := dog.UpdateEntry() // upserts and publishes
// And delete it
err := dog.DeleteEntry()

If you want to know the publication status of an entry as represented in Contentful's UI you can use the GetPublishingStatus() method on the entry itself. Possible return values are the predefined constants StatusDraft, StatusChanged and StatusPublished.

When saving, publishing or deleting entries:

  • You need a client that uses mode ClientModeCMA. Entries retrieved with ClientModeCDA or ClientModeCPA can be saved in memory (for example if you need to enrich the built-in cache) but not persisted to Contentful.
  • Make sure you Get a fresh copy of the entry right before you manipulate it and upsert it / publish it to Contentful. In case it's -saved by someone else in the meantime, the upsert will fail with a version mismatch error.

In case you need a completely new entry just create it, Contentful will fill in the technical details for you:

NewCfPerson(contentfulClient ...*ContentfulClient) (cfPerson *CfPerson)

Assets​

Contentful allows upload and reference of binary assets and gocontentful fully supports them. -Assuming the dog entry references a picture in a field you can get it with:

picture := dog.Picture() // you can pass a locale to this function as usual

This returns a *contenful.AssetNoLocale object handling localization for you in two ways. +saved by someone else in the meantime, the upsert will fail with a version mismatch error.

In case you need a completely new entry just create it, Contentful will fill in the technical details for you:

NewCfPerson(contentfulClient ...*ContentfulClient) (cfPerson *CfPerson)

Assets​

Contentful allows upload and reference of binary assets and gocontentful fully supports them. +Assuming the dog entry references a picture in a field you can get it with:

picture := dog.Picture() // you can pass a locale to this function as usual

This returns a *contenful.AssetNoLocale object handling localization for you in two ways. First, the field itself could be localized in the model, referencing two different assets altogether. Secondly, the asset itself can have different files uploaded for different locales. -No matter what, the gocontentful API will return the right file: 

// Get the asset's URL at Contentful's CDN
if picture != nil && picture.Fields != nil && picture.Fields.File != nil {
    theURL := picture.Fields.File.URL
    // ...then do something with it
}

There are various functions and methods to work with assets, for example to create an asset +No matter what, the gocontentful API will return the right file: 

// Get the asset's URL at Contentful's CDN
if picture != nil && picture.Fields != nil && picture.Fields.File != nil {
    theURL := picture.Fields.File.URL
    // ...then do something with it
}

There are various functions and methods to work with assets, for example to create an asset starting from an URL or to convert an asset to a reference to store it in a parent entry field. See the API Reference chapter for details.

Note: there is no function to create a new asset in the generated code because the type AssetNoLocale is from the github.com/foomo/contentful package, just instantiate one if you need a blank asset.

Working with RichText​

Contentful supports Rich Text fields. Behind the scenes, these are JSON objects that represent the content through a Contentful-specific data model. Sooner or later you might want to convert such values to and from HTML. -Gocontentful supports the conversion both ways. For instance, you want a person's resume to be converted to HTML:

htmlText := people.RichTextToHtml(person.Resume(), linkResolver, entryLinkResolver, imageResolver, embeddedEntryResolver locale)

The parameters linkResolver, entryLinkResolver, embeddedEntryResolver and imageResolver are all functions that you can pass +Gocontentful supports the conversion both ways. For instance, you want a person's resume to be converted to HTML:

htmlText := people.RichTextToHtml(person.Resume(), linkResolver, entryLinkResolver, imageResolver, embeddedEntryResolver locale)

The parameters linkResolver, entryLinkResolver, embeddedEntryResolver and imageResolver are all functions that you can pass to convert various elements inserted by the user into the RichText field:

  • linkResolver will allow you to create custom HTML tags for hyperlinks. If left blank, RichTextToHtml will just output an A tag.
  • entryLinkResolver is used to create hyperlinks with custom URLs when the destination in Contentful is another entry. If you allow such links to be created in the editor then you must pass this function.
  • imageResolver and embebbedEntryResolver are needed when the field accepts assets and entries embedded into the content, to turn -these into actual HTML snippets

The conversion works the other way around too, when you need to source data from outside and create Contentful entries:

myRichText := HtmlToRichText(htmlSrc)

See the API Reference for more details about these functions.

More on references​

When working with references it's often useful to know if there are any broken ones in the space. +these into actual HTML snippets

The conversion works the other way around too, when you need to source data from outside and create Contentful entries:

myRichText := HtmlToRichText(htmlSrc)

See the API Reference for more details about these functions.

More on references​

When working with references it's often useful to know if there are any broken ones in the space. This happens when a published entry references another that has been deleted after the parent was published. This might create issues if your application code doesn't degrade content gracefully. -To get a report of all broken references you can use the following function:

(cc *ContentfulClient) BrokenReferences() (brokenReferences []BrokenReference)

Note that this only works with cached clients. See the next chapter on caching.

Also on references: when you want to reference entry B from entry A, you cannot assign +To get a report of all broken references you can use the following function:

(cc *ContentfulClient) BrokenReferences() (brokenReferences []BrokenReference)

Note that this only works with cached clients. See the next chapter on caching.

Also on references: when you want to reference entry B from entry A, you cannot assign the value object of entry B to the reference field in A. First you need to convert the -object to a ContentTypeSys object because that's what Contentful expects in reference fields:

(vo *CfPerson) ToReference() (refSys ContentTypeSys)

Finally, you can get the parents (AKA referring) entries of either an entry or -an EntryReference with the GetParents() method. This returns a slice of []EntryReference:

(vo *CfPerson) GetParents() (parents []EntryReference, err error)
(ref *EntryReference) GetParents(cc *ContentfulClient) (parents []EntryReference, err error)

Other useful functions​

Another thing you might want to know is the content type of an entry with a given ID:

(cc *ContentfulClient) GetContentTypeOfID(ID string) (contentType string)

Caveats and limitations​

  • Avoid creating content types that have field IDs equal to reserved Go words (e.g. "type"). -Gocontentful won't scan for them and the generated code will break.
- - +object to a ContentTypeSys object because that's what Contentful expects in reference fields:

(vo *CfPerson) ToReference() (refSys ContentTypeSys)

Finally, you can get the parents (AKA referring) entries of either an entry or +an EntryReference with the GetParents() method. This returns a slice of []EntryReference:

(vo *CfPerson) GetParents() (parents []EntryReference, err error)
(ref *EntryReference) GetParents(cc *ContentfulClient) (parents []EntryReference, err error)

Other useful functions​

Another thing you might want to know is the content type of an entry with a given ID:

(cc *ContentfulClient) GetContentTypeOfID(ID string) (contentType string)

Caveats and limitations​

  • Avoid creating content types that have field IDs equal to reserved Go words (e.g. "type"). +Gocontentful won't scan for them and the generated code will break.
+ + \ No newline at end of file diff --git a/docs/projects/gograpple.html b/docs/projects/gograpple.html index 3a7f1b4..a12759f 100644 --- a/docs/projects/gograpple.html +++ b/docs/projects/gograpple.html @@ -2,20 +2,20 @@ - + gograpple | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/projects/gotsrpc.html b/docs/projects/gotsrpc.html index 7bf6e06..7b9ad0f 100644 --- a/docs/projects/gotsrpc.html +++ b/docs/projects/gotsrpc.html @@ -2,20 +2,20 @@ - + gotsrpc | foomo project docs - - - + + +
-

gotsrpc

https://github.com/foomo/gotsrpc

Generated Go RPC service proxies for generated Go and TypeScript clients.

gotsrpc ensures type safety and seamless integration of Go RPC services and TypeScript clients

Everything starts with a Go interface definition. Then generate Go service proxies and TypeScript and Go clients with the gotsrpc command line tool. The next step is to implement the interface in Go and expose it to http requests with the generated service proxies.

Use cases​

Who can do what with gotsrpc?

Go developers​

  • expose Go interfaces as http RPC services
  • consume Go interfaces with generated clients

TypeScript developers​

  • consume APIs written in Go through an idiomatic TypeScript interface

Design and architectural goals​

  • code first approach
  • generated integration of TypeScript or Go clients and Go servers
  • high productivity
  • low latency between clients and servers
  • good integration with browser dev tools (gotsrpc calls read well in the network tab)
  • light weight clients
  • idiomatic Go and TypeScript
  • type safety between clients and servers

Architectural notes​

Why not REST?​

Fast and light weight frontends are hard to build on REST interfaces in an efficient manner. Also see the motivations behind GraphQL.

Why not GraphQL?​

GraphQL is great, when backend developers and thus custom backends are not available to the frontend team. In our experience writing Go services that provide dedicated gotsrpc interfaces works great - especially, if your are striving for high performance and low latencies.

This only works for teams in which frontend and backend developers work closely together.

- - +

gotsrpc

https://github.com/foomo/gotsrpc

Generated Go RPC service proxies for generated Go and TypeScript clients.

gotsrpc ensures type safety and seamless integration of Go RPC services and TypeScript clients

Everything starts with a Go interface definition. Then generate Go service proxies and TypeScript and Go clients with the gotsrpc command line tool. The next step is to implement the interface in Go and expose it to http requests with the generated service proxies.

Use cases​

Who can do what with gotsrpc?

Go developers​

  • expose Go interfaces as http RPC services
  • consume Go interfaces with generated clients

TypeScript developers​

  • consume APIs written in Go through an idiomatic TypeScript interface

Design and architectural goals​

  • code first approach
  • generated integration of TypeScript or Go clients and Go servers
  • high productivity
  • low latency between clients and servers
  • good integration with browser dev tools (gotsrpc calls read well in the network tab)
  • light weight clients
  • idiomatic Go and TypeScript
  • type safety between clients and servers

Architectural notes​

Why not REST?​

Fast and light weight frontends are hard to build on REST interfaces in an efficient manner. Also see the motivations behind GraphQL.

Why not GraphQL?​

GraphQL is great, when backend developers and thus custom backends are not available to the frontend team. In our experience writing Go services that provide dedicated gotsrpc interfaces works great - especially, if your are striving for high performance and low latencies.

This only works for teams in which frontend and backend developers work closely together.

+ + \ No newline at end of file diff --git a/docs/projects/gotsrpc/cli.html b/docs/projects/gotsrpc/cli.html index 2d73b01..a4582a0 100644 --- a/docs/projects/gotsrpc/cli.html +++ b/docs/projects/gotsrpc/cli.html @@ -2,20 +2,20 @@ - + cli | foomo project docs - - - + + +
-

cli

Command line program to generate gotsrpc clients and service proxies.

Installation​

Downloads are available here: https://github.com/foomo/gotsrpc/releases

Homebrew:

brew install foomo/gotsrpc/gotsrpc

Usage​

To run a code generation with gosrpc run

gotsrpc gotsrpc.yaml
  • the referenced Go code has to compile
  • mappings for all used packages must be configured

If things do not work as expected - carefully read the output.

caution

Previously generated code will be overwritten and potentially obsolete files will not be deleted - please add a clean to your build

- - +

cli

Command line program to generate gotsrpc clients and service proxies.

Installation​

Downloads are available here: https://github.com/foomo/gotsrpc/releases

Homebrew:

brew install foomo/gotsrpc/gotsrpc

Usage​

To run a code generation with gosrpc run

gotsrpc gotsrpc.yaml
  • the referenced Go code has to compile
  • mappings for all used packages must be configured

If things do not work as expected - carefully read the output.

caution

Previously generated code will be overwritten and potentially obsolete files will not be deleted - please add a clean to your build

+ + \ No newline at end of file diff --git a/docs/projects/gotsrpc/cli/gotsrpc.yaml.html b/docs/projects/gotsrpc/cli/gotsrpc.yaml.html index 3381698..d352ce4 100644 --- a/docs/projects/gotsrpc/cli/gotsrpc.yaml.html +++ b/docs/projects/gotsrpc/cli/gotsrpc.yaml.html @@ -2,20 +2,20 @@ - + gotsrpc.yaml | foomo project docs - - - + + +
-

gotsrpc.yaml

Typically there will be one central gotsrpc.yaml file per project.

Purpose​

Go code generation rules​

  • service proxy generation
  • client generation

TypeScript code generation rules​

  • file names for clients in Targets
  • file names for value object code generation Mappings

gotsrpc.yaml file sections​

Targets​

Think of targets as build targets. A target is defined for all services in a package

playground gotspc.yaml
loading...

Mappings​

playground gotspc.yaml
loading...

GOModule Support​

To support go modules add 


module:
  name: github.com/foomo/gotsrpc
  path: ../ # Relative Or Absolute Path where the package was checked out (root of the package)

fe```
- - +

gotsrpc.yaml

Typically there will be one central gotsrpc.yaml file per project.

Purpose​

Go code generation rules​

  • service proxy generation
  • client generation

TypeScript code generation rules​

  • file names for clients in Targets
  • file names for value object code generation Mappings

gotsrpc.yaml file sections​

Targets​

Think of targets as build targets. A target is defined for all services in a package

playground gotspc.yaml
loading...

Mappings​

playground gotspc.yaml
loading...

GOModule Support​

To support go modules add 


module:
  name: github.com/foomo/gotsrpc
  path: ../ # Relative Or Absolute Path where the package was checked out (root of the package)

fe```
+ + \ No newline at end of file diff --git a/docs/projects/gotsrpc/client-transport.html b/docs/projects/gotsrpc/client-transport.html index e00d6a8..bcfd0a6 100644 --- a/docs/projects/gotsrpc/client-transport.html +++ b/docs/projects/gotsrpc/client-transport.html @@ -2,20 +2,20 @@ - + TypeScript client transport | foomo project docs - - - + + +
-

TypeScript client transport

Client transport implementation​

Every project has it's custom transport implementation. It typically is a good place for:

  • http header handling for requests and responses eg adding trace ids
  • custom handling of client vs server side transports (browser vs Node.js)
  • central error handling
  • client activity tracking
example transport
loading...

Client client construction​

Client construction is also project specific.

  • special handling of server side endpoints
  • adding transport middlewares
  • passing through client request headers and cookies on the server side

This is a minimal client side client constructor:

example client construction
loading...
- - +

TypeScript client transport

Client transport implementation​

Every project has it's custom transport implementation. It typically is a good place for:

  • http header handling for requests and responses eg adding trace ids
  • custom handling of client vs server side transports (browser vs Node.js)
  • central error handling
  • client activity tracking
example transport
loading...

Client client construction​

Client construction is also project specific.

  • special handling of server side endpoints
  • adding transport middlewares
  • passing through client request headers and cookies on the server side

This is a minimal client side client constructor:

example client construction
loading...
+ + \ No newline at end of file diff --git a/docs/projects/gotsrpc/getting-started.html b/docs/projects/gotsrpc/getting-started.html index 44f6051..f299cf8 100644 --- a/docs/projects/gotsrpc/getting-started.html +++ b/docs/projects/gotsrpc/getting-started.html @@ -2,20 +2,20 @@ - + Getting started | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/projects/gotsrpc/playground.html b/docs/projects/gotsrpc/playground.html index b9e7d06..325d044 100644 --- a/docs/projects/gotsrpc/playground.html +++ b/docs/projects/gotsrpc/playground.html @@ -2,20 +2,20 @@ - + Playground | foomo project docs - - - + + +
-

Playground

https://github.com/foomo/gotsrpc-playground

The gotsrpc playground is designed to:

  • provide examples for this documentation
  • make it easy to play with gotsrpc on your local machine

It is NOT an example project to build an actual production service, because:

  • it has a purely educational layout
  • all services are exposed from one go program
  • all service implementations are naive demo code with focus on documentation
  • all service implementations are in one package

Installing and running the playground​

Prerequisites

  • Go
  • Node.js

Clone repo

git clone git@github.com:foomo/gotsrpc-playground.git ~/go/src/github.com/foomo/gotsrpc-playground

Run playground

cd  ~/go/src/github.com/foomo/gotsrpc-playground
make run

Open the playground http://127.0.0.1:8080

Project layout​

Note : this is not a recommendation for a general project layout - it is purely educational.

LocationDescription
serverserver go code
server/servicesservice interfaces, one service interface per package helloworld, todos, ...
server/serverOne package to implement all service interfaces with one file per service package - in a real world scenario, that typically is one package per service interface
server/main.goGo program, that exposes all service implementations and reverse proxies the Next.js frontend which is running on http://127.0.0.1:3000
clientNext.js TypeScript client created with npx create-next-app@latest --typescript
client/services/transport.tsAn example transport implemenation
client/services/generatedTarget for generated TypeScript clients and value objects as defined in gotsrpc.yaml

ie relevant files per example:

FileDescription
server/services/<example>/service.goservice interface definition
server/server/<example>.goservice implementation
client/pages/<example>.tsxNext.js example page
client/styles/<Example>.module.cssCSS
- - +

Playground

https://github.com/foomo/gotsrpc-playground

The gotsrpc playground is designed to:

  • provide examples for this documentation
  • make it easy to play with gotsrpc on your local machine

It is NOT an example project to build an actual production service, because:

  • it has a purely educational layout
  • all services are exposed from one go program
  • all service implementations are naive demo code with focus on documentation
  • all service implementations are in one package

Installing and running the playground​

Prerequisites

  • Go
  • Node.js

Clone repo

git clone git@github.com:foomo/gotsrpc-playground.git ~/go/src/github.com/foomo/gotsrpc-playground

Run playground

cd  ~/go/src/github.com/foomo/gotsrpc-playground
make run

Open the playground http://127.0.0.1:8080

Project layout​

Note : this is not a recommendation for a general project layout - it is purely educational.

LocationDescription
serverserver go code
server/servicesservice interfaces, one service interface per package helloworld, todos, ...
server/serverOne package to implement all service interfaces with one file per service package - in a real world scenario, that typically is one package per service interface
server/main.goGo program, that exposes all service implementations and reverse proxies the Next.js frontend which is running on http://127.0.0.1:3000
clientNext.js TypeScript client created with npx create-next-app@latest --typescript
client/services/transport.tsAn example transport implemenation
client/services/generatedTarget for generated TypeScript clients and value objects as defined in gotsrpc.yaml

ie relevant files per example:

FileDescription
server/services/<example>/service.goservice interface definition
server/server/<example>.goservice implementation
client/pages/<example>.tsxNext.js example page
client/styles/<Example>.module.cssCSS
+ + \ No newline at end of file diff --git a/docs/projects/gotsrpc/playground/hello-world.html b/docs/projects/gotsrpc/playground/hello-world.html index 87e4880..251fd9b 100644 --- a/docs/projects/gotsrpc/playground/hello-world.html +++ b/docs/projects/gotsrpc/playground/hello-world.html @@ -2,20 +2,20 @@ - + Hello, World! | foomo project docs - - - + + +
-

Hello, World!

Enter your name in a form, send it to the server and get a greeting in return.

http://localhost:8080/hello-world

Go service​

Service interface defintion

server/services/helloworld/service.go
loading...

Service implementation

server/services/helloworld/service.go
loading...

Service proxy instantiation

server/main.go
loading...

Using the service proxy as a http handler

server/main.go
loading...

Next.js TypeScript client​

Using the client in a Next.js page

client/pages/hello-world.tsx
loading...
- - +

Hello, World!

Enter your name in a form, send it to the server and get a greeting in return.

http://localhost:8080/hello-world

Go service​

Service interface defintion

server/services/helloworld/service.go
loading...

Service implementation

server/services/helloworld/service.go
loading...

Service proxy instantiation

server/main.go
loading...

Using the service proxy as a http handler

server/main.go
loading...

Next.js TypeScript client​

Using the client in a Next.js page

client/pages/hello-world.tsx
loading...
+ + \ No newline at end of file diff --git a/docs/projects/gotsrpc/playground/playground.html b/docs/projects/gotsrpc/playground/playground.html index 52a28f1..7bf8b4e 100644 --- a/docs/projects/gotsrpc/playground/playground.html +++ b/docs/projects/gotsrpc/playground/playground.html @@ -2,20 +2,20 @@ - + Playground | foomo project docs - - - + + +
-

Playground

The playground is not for documentation - it is there to play with the service interface, the server implementation and the generated gotsrpc code.

Go Service​

Service interface defintion

server/services/playground/service.go
loading...

Service implementation

server/services/playground/service.go
loading...

Next.js TypeScript client​

client/pages/playground.tsx
loading...
- - +

Playground

The playground is not for documentation - it is there to play with the service interface, the server implementation and the generated gotsrpc code.

Go Service​

Service interface defintion

server/services/playground/service.go
loading...

Service implementation

server/services/playground/service.go
loading...

Next.js TypeScript client​

client/pages/playground.tsx
loading...
+ + \ No newline at end of file diff --git a/docs/projects/gotsrpc/playground/todos.html b/docs/projects/gotsrpc/playground/todos.html index d1dc2da..31f53a0 100644 --- a/docs/projects/gotsrpc/playground/todos.html +++ b/docs/projects/gotsrpc/playground/todos.html @@ -2,20 +2,20 @@ - + Todos | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/projects/gotsrpc/playground/union-errors.html b/docs/projects/gotsrpc/playground/union-errors.html index 71c4e3f..e02668e 100644 --- a/docs/projects/gotsrpc/playground/union-errors.html +++ b/docs/projects/gotsrpc/playground/union-errors.html @@ -2,20 +2,20 @@ - + Union Errors | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/projects/gotsrpc/playground/wheel-of-fortune.html b/docs/projects/gotsrpc/playground/wheel-of-fortune.html index 2b0f653..5077d37 100644 --- a/docs/projects/gotsrpc/playground/wheel-of-fortune.html +++ b/docs/projects/gotsrpc/playground/wheel-of-fortune.html @@ -2,20 +2,20 @@ - + Wheel of Fortune | foomo project docs - - - + + +
-

Wheel of Fortune

Spin the Wheel of Fortune to win a price.

http://localhost:8080/wheel-of-fortune

This example shows the union feature as described here: ../service-interfaces/value-objects#union-types

Go service​

Service interface defintion

server/services/wof/service.go
loading...

Service implementation

server/services/helloworld/service.go
loading...

Next.js TypeScript client​

client/pages/wheel-of-fortune.tsx
loading...
- - +

Wheel of Fortune

Spin the Wheel of Fortune to win a price.

http://localhost:8080/wheel-of-fortune

This example shows the union feature as described here: ../service-interfaces/value-objects#union-types

Go service​

Service interface defintion

server/services/wof/service.go
loading...

Service implementation

server/services/helloworld/service.go
loading...

Next.js TypeScript client​

client/pages/wheel-of-fortune.tsx
loading...
+ + \ No newline at end of file diff --git a/docs/projects/gotsrpc/protocol.html b/docs/projects/gotsrpc/protocol.html index 66c148d..ecb510c 100644 --- a/docs/projects/gotsrpc/protocol.html +++ b/docs/projects/gotsrpc/protocol.html @@ -2,20 +2,20 @@ - + Protocol | foomo project docs - - - + + +
-

Protocol

A gotsrpc method call is a http POST of an array of arguments to http(s)://host/path/to/service/endpoint/<Method>, that will return an array of return values. By default JSON is used for serialization.

Gotsrpc calls are not RESTful, but access to the underlying http requests and responses is possible. This is usually used for header access.

HTTP status codes​

The response status code is

  • 200 for all responses (including the ones with business logic errors)
  • 500 when the go code, that implements the service interface panics

Encoding / Marshalling​

gotsrpc supports

note

gotsrpc service proxies are not using streaming encoders or decoders:

  • incoming data will be read completely from the request body
  • decoding / unmarshalling is not streaming (for all encodings)
  • return values will be encoded / marshalled in the same manner
  • the response is streamed

Thus you should use paging, when transferring a lot of data.

Curl example call to a running playground server​

A curl call tells more than a thousand words:

curl -v --data-raw '["Visitor"]' http://localhost:8080/services/helloworld/Hello
# > POST /services/helloworld/Hello HTTP/1.1
# > Host: localhost:8080
# >
# < HTTP/1.1 200 OK
# < Content-Type: application/json; charset=utf-8
# <
# ["Hello Visitor"]

When debugging and inspecting from the command line the fx command is very helpful https://github.com/antonmedv/fx

curl -v --data-raw '["Visitor"]' http://localhost:8080/services/helloworld/Hello | fx
# starts fx which will read the server response from stdin
# and provide a nice interactive json viewer
- - +

Protocol

A gotsrpc method call is a http POST of an array of arguments to http(s)://host/path/to/service/endpoint/<Method>, that will return an array of return values. By default JSON is used for serialization.

Gotsrpc calls are not RESTful, but access to the underlying http requests and responses is possible. This is usually used for header access.

HTTP status codes​

The response status code is

  • 200 for all responses (including the ones with business logic errors)
  • 500 when the go code, that implements the service interface panics

Encoding / Marshalling​

gotsrpc supports

note

gotsrpc service proxies are not using streaming encoders or decoders:

  • incoming data will be read completely from the request body
  • decoding / unmarshalling is not streaming (for all encodings)
  • return values will be encoded / marshalled in the same manner
  • the response is streamed

Thus you should use paging, when transferring a lot of data.

Curl example call to a running playground server​

A curl call tells more than a thousand words:

curl -v --data-raw '["Visitor"]' http://localhost:8080/services/helloworld/Hello
# > POST /services/helloworld/Hello HTTP/1.1
# > Host: localhost:8080
# >
# < HTTP/1.1 200 OK
# < Content-Type: application/json; charset=utf-8
# <
# ["Hello Visitor"]

When debugging and inspecting from the command line the fx command is very helpful https://github.com/antonmedv/fx

curl -v --data-raw '["Visitor"]' http://localhost:8080/services/helloworld/Hello | fx
# starts fx which will read the server response from stdin
# and provide a nice interactive json viewer
+ + \ No newline at end of file diff --git a/docs/projects/gotsrpc/service-interfaces.html b/docs/projects/gotsrpc/service-interfaces.html index 3e897a5..f6d517c 100644 --- a/docs/projects/gotsrpc/service-interfaces.html +++ b/docs/projects/gotsrpc/service-interfaces.html @@ -2,20 +2,20 @@ - + Service Interfaces | foomo project docs - - - + + +
-

Service Interfaces

Gotsrpc services are defined in Go.

Interface definitions and value objects​

All gotsrpc service definitions should be in a central place separated from their respective implementations.

Definition of a service interface​

Service interfaces for gotsrpc services are plain Go interfaces.

type Service interface {
    HelloWorld(name string) string
}

Special handling of http request arguments​

Despite the fact, that gostrpc is not RESTful it is possible and encouraged to access the underlying incoming w http.ResponseWriter and r *http.Request arguments like in a http.HandlerFunc for use cases like:

  • http request headers eg to implement access tokens
  • http request and response headers for cookie handling
  • accessing r.Context() for proper handling of context handling in the given request context
  • ...

Service interface with http.HandlerFunc arguments

type Service interface {
    HelloWorld(w http.ResponseWriter, r *http.Request, name string) string
}

In the generated client code the interface will not change. Accessing headers, cookies etc is handled in your projects client and transport

note

arguments and return values have to be serializable

All arguments and return values will be marshalled typically as JSON

Also see protocol

- - +

Service Interfaces

Gotsrpc services are defined in Go.

Interface definitions and value objects​

All gotsrpc service definitions should be in a central place separated from their respective implementations.

Definition of a service interface​

Service interfaces for gotsrpc services are plain Go interfaces.

type Service interface {
    HelloWorld(name string) string
}

Special handling of http request arguments​

Despite the fact, that gostrpc is not RESTful it is possible and encouraged to access the underlying incoming w http.ResponseWriter and r *http.Request arguments like in a http.HandlerFunc for use cases like:

  • http request headers eg to implement access tokens
  • http request and response headers for cookie handling
  • accessing r.Context() for proper handling of context handling in the given request context
  • ...

Service interface with http.HandlerFunc arguments

type Service interface {
    HelloWorld(w http.ResponseWriter, r *http.Request, name string) string
}

In the generated client code the interface will not change. Accessing headers, cookies etc is handled in your projects client and transport

note

arguments and return values have to be serializable

All arguments and return values will be marshalled typically as JSON

Also see protocol

+ + \ No newline at end of file diff --git a/docs/projects/gotsrpc/service-interfaces/errors.html b/docs/projects/gotsrpc/service-interfaces/errors.html index d43b11b..9a3692f 100644 --- a/docs/projects/gotsrpc/service-interfaces/errors.html +++ b/docs/projects/gotsrpc/service-interfaces/errors.html @@ -2,20 +2,20 @@ - + Errors | foomo project docs - - - + + +
-

Errors

On the Go server side errors are types, that implement the error type:

// from https://go.dev/blog/error-handling-and-go
type error interface {
    Error() string
}

This does not transport well, since an interface implementation can not be marshalled.

String Error Types​

Scalar string error types provide a nice way to combine Go constants, that translate to TypeScript enums as errors:

Go
type ScalarError string

const (
    ErrorFoo ScalarError = "foo"
    ErrorBar ScalarError = "bar"
)

func (e *ScalarError) Error() string {
    return string(*e)
}

type Service interface {
    MightGoWrong() *ScalarError
}
TypeScript
export enum ScalarError {
    ErrorBar = "bar",
    ErrorFoo = "foo",
}

export interface ServiceClient {
    mightGoWrong(): Promise<ScalarError | null>;
}

Struct Error Types​

If an enumeration is not enough and you want to add information to your errors a struct is a good choice (be careful not to expose secrets 😉) :

  • it can still implement the Error type
  • it is still typed in contrast to other alternatives like maps
Go
type ErrorCode int

const (
    ErrorCodeFoo ErrorCode = 1
    ErrorCodeBar ErrorCode = 2
)

type StructError struct {
    Message string `json:"message,omitempty"`
    Code ErrorCode `json:"errorCode"`
}

func (e *StructError) Error() string {
    return e.Message
}

type Service struct {
    MightGoWrong() *StructError
}
TypeScript
export enum ErrorCode {
    Bar = 2,
    Foo = 1,
}

export interface StructError {
    message?:string;
    errorCode:ErrorCode;
}

export interface ServiceClient {
    mightGoWrong(): Promise<StructError | null>;
}
- - +

Errors

On the Go server side errors are types, that implement the error type:

// from https://go.dev/blog/error-handling-and-go
type error interface {
    Error() string
}

This does not transport well, since an interface implementation can not be marshalled.

String Error Types​

Scalar string error types provide a nice way to combine Go constants, that translate to TypeScript enums as errors:

Go
type ScalarError string

const (
    ErrorFoo ScalarError = "foo"
    ErrorBar ScalarError = "bar"
)

func (e *ScalarError) Error() string {
    return string(*e)
}

type Service interface {
    MightGoWrong() *ScalarError
}
TypeScript
export enum ScalarError {
    ErrorBar = "bar",
    ErrorFoo = "foo",
}

export interface ServiceClient {
    mightGoWrong(): Promise<ScalarError | null>;
}

Struct Error Types​

If an enumeration is not enough and you want to add information to your errors a struct is a good choice (be careful not to expose secrets 😉) :

  • it can still implement the Error type
  • it is still typed in contrast to other alternatives like maps
Go
type ErrorCode int

const (
    ErrorCodeFoo ErrorCode = 1
    ErrorCodeBar ErrorCode = 2
)

type StructError struct {
    Message string `json:"message,omitempty"`
    Code ErrorCode `json:"errorCode"`
}

func (e *StructError) Error() string {
    return e.Message
}

type Service struct {
    MightGoWrong() *StructError
}
TypeScript
export enum ErrorCode {
    Bar = 2,
    Foo = 1,
}

export interface StructError {
    message?:string;
    errorCode:ErrorCode;
}

export interface ServiceClient {
    mightGoWrong(): Promise<StructError | null>;
}
+ + \ No newline at end of file diff --git a/docs/projects/gotsrpc/service-interfaces/value-objects.html b/docs/projects/gotsrpc/service-interfaces/value-objects.html index fa75612..70b29b8 100644 --- a/docs/projects/gotsrpc/service-interfaces/value-objects.html +++ b/docs/projects/gotsrpc/service-interfaces/value-objects.html @@ -2,20 +2,20 @@ - + Value Objects | foomo project docs - - - + + +
-

Value Objects

Typically value objects will be serialized / marshalled as JSON. Please refer to this documentation:

https://pkg.go.dev/encoding/json#Marshal

note

This is just a few basic examples, that show the basics of mapping Go types to idiomatic TypeScript types.

Scalar types​

Supported in Go and TypeScript​

GoTypeScript
stringstring
boolboolean

Numerics / numbers​

GoTypeScript
int, int8, int16, float32, float64 ...number

Type Aliases​

Go
type Greeting string
TypeScript
type Greeting = string;

Enumerations​

Go does not support enumerations, but gotsrpc will translate constants to TypeScripts enums:

Go
type Pet string

const (
    Cat Pet  = "cat"
    Dog Pet  = "dog"
    Fish Pet = "fish"
)

type SeatCount int

const (
    TwoSeats   SeatCount = 2
    FiveSeats  SeatCount = 5
    SevenSeats SeatCount = 7
)
TypeScript
export enum Pet {
  Cat = "cat",
  Dog = "dog",
  Fish = "fish",
}

export enum SeatCount {
  FiveSeats = 5,
  SevenSeats = 7,
  TwoSeats = 2,
}

Slices​

Slices are nilable in Go, thus they can be null in TypeScript. They translate to Array<T>|null in TypeScript.

Scalar types​

Go
[]string
[]int
// other numeric types
[]bool
TypeScript
Array<string> | null;
Array<number> | null;
// all numeric types are numbers
Array<boolean> | null;

Other slice type examples​

Structs​

Go
[]Car
[]*Car
TypeScript
Array<Car> | null;
Array<Car | null> | null;

Nested slices​

Go
[][]string
[][]int
// ...
TypeScript
Array<Array<string> | null> | null;
Array<Array<number> | null> | null;
// ...

Maps / Records​

Like slices Go maps are nilable. They translate to Record<K extends keyof any, T>|null in TypeScript.

Scalars​

Go
map[string]string
TypeScript
Record<string, string> | null;

Structs​

Go
map[string]*Car
TypeScript
Record<string, Car | null> | null;

Slices​

Go
map[string][]*Car
TypeScript
Record<string, Array<Car | null> | null> | null;

Map types​

Go and TypeScript support map / Record types:

tip

Scalar types / type aliases are of particular value when using maps, because they can add strong semantics:

Go
type CarDirectory map[ProductID]*Car
TypeScript
type CarDirectory = Record<ProductID, Car | null> | null;

Nested map types​

Go
type BrandID string
type BrandCarDirectory map[BrandID]map[ProductID]*Car
// or
type BrandCarDirectory map[BrandID]CarDirectory
TypeScript
type BrandID = string;
type BrandCarDirectory = Record<
  BrandID,
  Record<ProductID, Car | null> | null
> | null;
// or
type BrandCarDirectory = Record<BrandID, CarDirectory> | null;

Structs / Interfaces​

Arbitrary Types can be composed in structs.

Field names​

Naming conventions are different between Go and TypeScript. In order to bridge the gap between Go and TypeScript Go struct fields can be annotated with tags. In this way idiomatic naming of fields can be can be provided for both languages and the translation will be automatic.

Default Go => TypeScript​

Without json tags TypeScript field names will be like in Go, which is not idiomatic for TypeScript.

Go
type Car struct {
    GoCase string
    CamelCase string
    SnakeCase string
}
TypeScript
interface Car {
  GoCase:string;
  CamelCase:string;
  SnakeCase:string;
}

Idiomatic field names​

Json tags allow controlling the name in TypeScript.

Go
type Car struct {
    CamelCase string `json:"camelCase"`
    SnakeCase string `json:"snake_case"`
}
TypeScript
interface Car {
  camelCase:string;
  snake_case:string;
}

Optional and nullable fields​

Go
type Basic struct {
    Value string `json:"value"`
    OptionalValue string `json:"optionalValue,omitempty"`
    NullableValue *string `json:"nullableValue"`
}
TypeScript
type Basic interface {
    value:string;
    optionalValue?:string;
    nullableValue:string|null;
}

Hiding values from the client​

The Go json tag `json:"-"` on a struct allows it to:

  • hide fields from clients
  • prevents clients from setting them in JSON Unmarshalling
Go
type Basic struct {
    Value string `json:"value"`
    Secret string `json:"-"`
}
TypeScript
type Basic interface {
    value:string;
}

Union Types​

When static types seem to be in the way

- - +

Value Objects

Typically value objects will be serialized / marshalled as JSON. Please refer to this documentation:

https://pkg.go.dev/encoding/json#Marshal

note

This is just a few basic examples, that show the basics of mapping Go types to idiomatic TypeScript types.

Scalar types​

Supported in Go and TypeScript​

GoTypeScript
stringstring
boolboolean

Numerics / numbers​

GoTypeScript
int, int8, int16, float32, float64 ...number

Type Aliases​

Go
type Greeting string
TypeScript
type Greeting = string;

Enumerations​

Go does not support enumerations, but gotsrpc will translate constants to TypeScripts enums:

Go
type Pet string

const (
    Cat Pet  = "cat"
    Dog Pet  = "dog"
    Fish Pet = "fish"
)

type SeatCount int

const (
    TwoSeats   SeatCount = 2
    FiveSeats  SeatCount = 5
    SevenSeats SeatCount = 7
)
TypeScript
export enum Pet {
  Cat = "cat",
  Dog = "dog",
  Fish = "fish",
}

export enum SeatCount {
  FiveSeats = 5,
  SevenSeats = 7,
  TwoSeats = 2,
}

Slices​

Slices are nilable in Go, thus they can be null in TypeScript. They translate to Array<T>|null in TypeScript.

Scalar types​

Go
[]string
[]int
// other numeric types
[]bool
TypeScript
Array<string> | null;
Array<number> | null;
// all numeric types are numbers
Array<boolean> | null;

Other slice type examples​

Structs​

Go
[]Car
[]*Car
TypeScript
Array<Car> | null;
Array<Car | null> | null;

Nested slices​

Go
[][]string
[][]int
// ...
TypeScript
Array<Array<string> | null> | null;
Array<Array<number> | null> | null;
// ...

Maps / Records​

Like slices Go maps are nilable. They translate to Record<K extends keyof any, T>|null in TypeScript.

Scalars​

Go
map[string]string
TypeScript
Record<string, string> | null;

Structs​

Go
map[string]*Car
TypeScript
Record<string, Car | null> | null;

Slices​

Go
map[string][]*Car
TypeScript
Record<string, Array<Car | null> | null> | null;

Map types​

Go and TypeScript support map / Record types:

tip

Scalar types / type aliases are of particular value when using maps, because they can add strong semantics:

Go
type CarDirectory map[ProductID]*Car
TypeScript
type CarDirectory = Record<ProductID, Car | null> | null;

Nested map types​

Go
type BrandID string
type BrandCarDirectory map[BrandID]map[ProductID]*Car
// or
type BrandCarDirectory map[BrandID]CarDirectory
TypeScript
type BrandID = string;
type BrandCarDirectory = Record<
  BrandID,
  Record<ProductID, Car | null> | null
> | null;
// or
type BrandCarDirectory = Record<BrandID, CarDirectory> | null;

Structs / Interfaces​

Arbitrary Types can be composed in structs.

Field names​

Naming conventions are different between Go and TypeScript. In order to bridge the gap between Go and TypeScript Go struct fields can be annotated with tags. In this way idiomatic naming of fields can be can be provided for both languages and the translation will be automatic.

Default Go => TypeScript​

Without json tags TypeScript field names will be like in Go, which is not idiomatic for TypeScript.

Go
type Car struct {
    GoCase string
    CamelCase string
    SnakeCase string
}
TypeScript
interface Car {
  GoCase:string;
  CamelCase:string;
  SnakeCase:string;
}

Idiomatic field names​

Json tags allow controlling the name in TypeScript.

Go
type Car struct {
    CamelCase string `json:"camelCase"`
    SnakeCase string `json:"snake_case"`
}
TypeScript
interface Car {
  camelCase:string;
  snake_case:string;
}

Optional and nullable fields​

Go
type Basic struct {
    Value string `json:"value"`
    OptionalValue string `json:"optionalValue,omitempty"`
    NullableValue *string `json:"nullableValue"`
}
TypeScript
type Basic interface {
    value:string;
    optionalValue?:string;
    nullableValue:string|null;
}

Hiding values from the client​

The Go json tag `json:"-"` on a struct allows it to:

  • hide fields from clients
  • prevents clients from setting them in JSON Unmarshalling
Go
type Basic struct {
    Value string `json:"value"`
    Secret string `json:"-"`
}
TypeScript
type Basic interface {
    value:string;
}

Union Types​

When static types seem to be in the way

+ + \ No newline at end of file diff --git a/docs/projects/gotsrpc/workflow.html b/docs/projects/gotsrpc/workflow.html index 82613f4..eb04f40 100644 --- a/docs/projects/gotsrpc/workflow.html +++ b/docs/projects/gotsrpc/workflow.html @@ -2,20 +2,20 @@ - + Workflow | foomo project docs - - - + + +
-

Workflow

Initial setup in a project​

  • define a central place for your Go service interface definitions
  • define a central place where your TypeScript client code will be generated to
  • create one central gotsrpc.yaml
  • implement a TypeScript transport for your project

Per service​

  1. define service interfaces in Go
  2. configure code generation in gotsrpc.yaml
  3. generate service proxies and clients with gotsrpc cli
  4. go to 1.
- - +

Workflow

Initial setup in a project​

  • define a central place for your Go service interface definitions
  • define a central place where your TypeScript client code will be generated to
  • create one central gotsrpc.yaml
  • implement a TypeScript transport for your project

Per service​

  1. define service interfaces in Go
  2. configure code generation in gotsrpc.yaml
  3. generate service proxies and clients with gotsrpc cli
  4. go to 1.
+ + \ No newline at end of file diff --git a/docs/projects/keel.html b/docs/projects/keel.html new file mode 100644 index 0000000..70370d5 --- /dev/null +++ b/docs/projects/keel.html @@ -0,0 +1,21 @@ + + + + + +keel | foomo project docs + + + + + + + + + +
+
+ + + + \ No newline at end of file diff --git a/docs/projects/keel/circuit-breaker.html b/docs/projects/keel/circuit-breaker.html new file mode 100644 index 0000000..ce2336c --- /dev/null +++ b/docs/projects/keel/circuit-breaker.html @@ -0,0 +1,21 @@ + + + + + +Circuit Breaker | foomo project docs + + + + + + + + + +
+

Circuit Breaker

Sometimes things go wrong and a service does not respond anymore. Be it because of maintainance or because the whole data center burned to the ground. In such a scenario, you might not want to wait until your request times out. This is where circuit breakers come in handy.

Simply put a circuit breaker has three different states:

We did not re-invent the wheel (yet), but rather used an existing circuit breaker. However, we extended the functionality a bit. More on that later. For referance, here are links to the underlying circuit breaker and some more information on circuit breakers in general.

How to use​

In order to configure the circuit breaker there are two kinds of configuration. The "base" configuration using the CircuitBreakerSettings and optional configuration using CircuitBreakerOptions.

CircuitBreakerSettings​

The settings are relatively straight forward and the same as with the underlying repository - with one exception. Our settings are missing the IsSuccessful field.

net/http/roundtripware/circuitbreaker.go
loading...

CircuitBreakerOptions​

Currently, there are two options one for metrics and one for somewhat advanced usage.

Metrics​

The option for metrics is, again, straigth forward. When the CircuitBreakerWithMetric option is used the roundtripware will create a counter on the provided meter and count the number of requests.

The attributes added to every count are:

  • previous_state (String): the state of the circuit breaker before the current request. Either "closed", "half-open" or "open"
  • current_state (String): the state of the circuit breaker after the current request. Either "closed", "half-open" or "open"
  • state_change (Bool): helper containing current_state != previous_state
  • error (Bool): false if the request was not passed through or was unsuccessful
net/http/roundtripware/circuitbreaker.go
loading...

IsSuccessful​

As mentioned previously, the IsSuccessful field was removed from the basic settings. The reason is that the signature of that function was a bit limiting. As you can see below our IsSuccessful-function can use the request and response. Additionally, if copyReqBody and/or copyRespBody are set to true, you can even read from the respective body, without worrying about consuming the io.ReadCloser.

net/http/roundtripware/circuitbreaker.go
loading...

The ignore value that is returned alongside an error indicates whether the result of the call should be registered with the circuit breaker. For most use cases it should be set to false.

When the IsSuccessful-function returns an error (and the ignore value is set to false), the request will be counted as unsuccessful. Accordingly, a nil error paired with ignored set to false indicates a successful request.

Examples​

Let's say we want to stop sending requests once we encountered three consecutive failures.

client := keelhttp.NewHTTPClient(
        keelhttp.HTTPClientWithRoundTripware(l,
            roundtripware.CircuitBreaker(&roundtripware.CircuitBreakerSettings{
                Name:        "my little circuit breaker™",
                // 2 requests can pass in half-open state & it takes 2 consecutive,
                // successful requests to change to closed state
                MaxRequests: 2,
                // counts are not reset in closed state
                Interval:    0, 
                // breaker will go from open to half-open state after 30s
                Timeout:     30 * time.Second,
                // go to open state after the 3rd consecutive, unsuccessful request
                ReadyToTrip: func(counts gobreaker.Counts) bool {
                    return counts.ConsecutiveFailures >= 3
                },
            }),
        ),
    )

Now lets say we see we also want to detect network problems such as a BadGateway. For this we can use the IsSuccessful option.

client := keelhttp.NewHTTPClient(
    keelhttp.HTTPClientWithRoundTripware(l,
        roundtripware.CircuitBreaker(&roundtripware.CircuitBreakerSettings{
            // as before ...
        },
            roundtripware.CircuitBreakerWithIsSuccessful(
                func(err error, req *http.Request, resp *http.Response) (error, bool) {
                    if err != nil {
                        return err, false
                    }
                    if resp.StatusCode >= http.StatusInternalServerError {
                        return errors.New("invalid status code"), false
                    }
                    return nil, false
                }, false, false,
            ),
        ),
    ),
)

Lastly, let's assume we use the client for multiple different endpoints. And we only want to base the circuit breakers state on a single endpoint, but stop request on all endpoints once the breaker changes to open. Again we can use the IsSuccessful option and ignore certain endpoints.

client := keelhttp.NewHTTPClient(
    keelhttp.HTTPClientWithRoundTripware(l,
        roundtripware.CircuitBreaker(&roundtripware.CircuitBreakerSettings{
            // as before ...
        },
            roundtripware.CircuitBreakerWithIsSuccessful(
                func(err error, req *http.Request, resp *http.Response) (error, bool) {
                    if req.URL.Path != "/important/path" {
                        return err, false
                    }

                    // possibly more checks ...

                    return err, true
                }, false, false,
            ),
        ),
    ),
)

General advice & notes of caution​

Using ratios in ReadyToTrip​

When using ratios in ready to trip, the Interval should be set to a non-zero value in order to reset the counts periodically. Otherwise, after a long period of successful requests it will also take a long time to impact the ratio and trip the breaker.

    ReadyToTrip: func(counts gobreaker.Counts) bool {
        failureRatio := float64(counts.TotalFailures) / float64(counts.Requests)
        return counts.Requests >= 3 && failureRatio >= 0.6
    },
+ + + + \ No newline at end of file diff --git a/docs/projects/libraries/keel-circuit-breaker.html b/docs/projects/libraries/keel-circuit-breaker.html deleted file mode 100644 index ff758ab..0000000 --- a/docs/projects/libraries/keel-circuit-breaker.html +++ /dev/null @@ -1,21 +0,0 @@ - - - - - -Circuit Breaker | foomo project docs - - - - - - - - - -
-

Circuit Breaker

Sometimes things go wrong and a service does not respond anymore. Be it because of maintainance or because the whole data center burned to the ground. In such a scenario, you might not want to wait until your request times out. This is where circuit breakers come in handy.

Simply put a circuit breaker has three different states:

We did not re-invent the wheel (yet), but rather used an existing circuit breaker. However, we extended the functionality a bit. More on that later. For referance, here are links to the underlying circuit breaker and some more information on circuit breakers in general.

How to use​

In order to configure the circuit breaker there are two kinds of configuration. The "base" configuration using the CircuitBreakerSettings and optional configuration using CircuitBreakerOptions.

CircuitBreakerSettings​

The settings are relatively straight forward and the same as with the underlying repository - with one exception. Our settings are missing the IsSuccessful field.

net/http/roundtripware/circuitbreaker.go
loading...

CircuitBreakerOptions​

Currently, there are two options one for metrics and one for somewhat advanced usage.

Metrics​

The option for metrics is, again, straigth forward. When the CircuitBreakerWithMetric option is used the roundtripware will create a counter on the provided meter and count the number of requests.

The attributes added to every count are:

  • previous_state (String): the state of the circuit breaker before the current request. Either "closed", "half-open" or "open"
  • current_state (String): the state of the circuit breaker after the current request. Either "closed", "half-open" or "open"
  • state_change (Bool): helper containing current_state != previous_state
  • error (Bool): false if the request was not passed through or was unsuccessful
net/http/roundtripware/circuitbreaker.go
loading...

IsSuccessful​

As mentioned previously, the IsSuccessful field was removed from the basic settings. The reason is that the signature of that function was a bit limiting. As you can see below our IsSuccessful-function can use the request and response. Additionally, if copyReqBody and/or copyRespBody are set to true, you can even read from the respective body, without worrying about consuming the io.ReadCloser.

net/http/roundtripware/circuitbreaker.go
loading...

The ignore value that is returned alongside an error indicates whether the result of the call should be registered with the circuit breaker. For most use cases it should be set to false.

When the IsSuccessful-function returns an error (and the ignore value is set to false), the request will be counted as unsuccessful. Accordingly, a nil error paired with ignored set to false indicates a successful request.

Examples​

Let's say we want to stop sending requests once we encountered three consecutive failures.

client := keelhttp.NewHTTPClient(
        keelhttp.HTTPClientWithRoundTripware(l,
            roundtripware.CircuitBreaker(&roundtripware.CircuitBreakerSettings{
                Name:        "my little circuit breaker™",
                // 2 requests can pass in half-open state & it takes 2 consecutive,
                // successful requests to change to closed state
                MaxRequests: 2,
                // counts are not reset in closed state
                Interval:    0, 
                // breaker will go from open to half-open state after 30s
                Timeout:     30 * time.Second,
                // go to open state after the 3rd consecutive, unsuccessful request
                ReadyToTrip: func(counts gobreaker.Counts) bool {
                    return counts.ConsecutiveFailures >= 3
                },
            }),
        ),
    )

Now lets say we see we also want to detect network problems such as a BadGateway. For this we can use the IsSuccessful option.

client := keelhttp.NewHTTPClient(
    keelhttp.HTTPClientWithRoundTripware(l,
        roundtripware.CircuitBreaker(&roundtripware.CircuitBreakerSettings{
            // as before ...
        },
            roundtripware.CircuitBreakerWithIsSuccessful(
                func(err error, req *http.Request, resp *http.Response) (error, bool) {
                    if err != nil {
                        return err, false
                    }
                    if resp.StatusCode >= http.StatusInternalServerError {
                        return errors.New("invalid status code"), false
                    }
                    return nil, false
                }, false, false,
            ),
        ),
    ),
)

Lastly, let's assume we use the client for multiple different endpoints. And we only want to base the circuit breakers state on a single endpoint, but stop request on all endpoints once the breaker changes to open. Again we can use the IsSuccessful option and ignore certain endpoints.

client := keelhttp.NewHTTPClient(
    keelhttp.HTTPClientWithRoundTripware(l,
        roundtripware.CircuitBreaker(&roundtripware.CircuitBreakerSettings{
            // as before ...
        },
            roundtripware.CircuitBreakerWithIsSuccessful(
                func(err error, req *http.Request, resp *http.Response) (error, bool) {
                    if req.URL.Path != "/important/path" {
                        return err, false
                    }

                    // possibly more checks ...

                    return err, true
                }, false, false,
            ),
        ),
    ),
)

General advice & notes of caution​

Using ratios in ReadyToTrip​

When using ratios in ready to trip, the Interval should be set to a non-zero value in order to reset the counts periodically. Otherwise, after a long period of successful requests it will also take a long time to impact the ratio and trip the breaker.

    ReadyToTrip: func(counts gobreaker.Counts) bool {
        failureRatio := float64(counts.TotalFailures) / float64(counts.Requests)
        return counts.Requests >= 3 && failureRatio >= 0.6
    },
- - - - \ No newline at end of file diff --git a/docs/projects/libraries/keel.html b/docs/projects/libraries/keel.html deleted file mode 100644 index 0e084e0..0000000 --- a/docs/projects/libraries/keel.html +++ /dev/null @@ -1,21 +0,0 @@ - - - - - -keel | foomo project docs - - - - - - - - - -
-
- - - - \ No newline at end of file diff --git a/docs/projects/pagespeed-exporter.html b/docs/projects/pagespeed-exporter.html index 9a0da0f..cf31345 100644 --- a/docs/projects/pagespeed-exporter.html +++ b/docs/projects/pagespeed-exporter.html @@ -2,20 +2,20 @@ - + pagespeed exporter | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/projects/webgrapple.html b/docs/projects/webgrapple.html index c4e4e5c..562be3a 100644 --- a/docs/projects/webgrapple.html +++ b/docs/projects/webgrapple.html @@ -2,20 +2,20 @@ - + webgrapple | foomo project docs - - - + + +
-
- - +
+ + \ No newline at end of file diff --git a/docs/tags.html b/docs/tags.html index 0145044..e703a82 100644 --- a/docs/tags.html +++ b/docs/tags.html @@ -2,20 +2,20 @@ - + Tags | foomo project docs - - - + + +
-
- - +

Tags

+ + \ No newline at end of file diff --git a/docs/tags/frontend.html b/docs/tags/frontend.html index c48e3ed..3235748 100644 --- a/docs/tags/frontend.html +++ b/docs/tags/frontend.html @@ -2,20 +2,20 @@ - + One doc tagged with "frontend" | foomo project docs - - - + + +
-

One doc tagged with "frontend"

View All Tags

Stack

Our frontend stack is permanently changing as the underlying eco system does. We are trying to adopt technologies at the "Slope of Enlightenment" in the hype cycle.

- - +

One doc tagged with "frontend"

View All Tags

Stack

Our frontend stack is permanently changing as the underlying eco system does. We are trying to adopt technologies at the "Slope of Enlightenment" in the hype cycle.

+ + \ No newline at end of file diff --git a/docs/tags/go-basics.html b/docs/tags/go-basics.html index b030b88..6a94647 100644 --- a/docs/tags/go-basics.html +++ b/docs/tags/go-basics.html @@ -2,20 +2,20 @@ - + 9 docs tagged with "Go Basics" | foomo project docs - - - + + +
-

9 docs tagged with "Go Basics"

View All Tags

Defer

In a normal Go application, control flows from the top to the bottom of any function that we call (this is if you don't use branching or looping).

Files

There are multiple packages we can utilize for reading files in a go program. We'll go over the most commonly used ones in this section.

HTTP Client and Server

The HTTP protocol is used to communicate between Client and Server. The `net/http` package provides all methods needed to implement a client and

Interfaces

In go you can define a type using a set of methods by using the `interface` keyword.

Maps

Maps are unordered key value pairs where each key is unique.

MongoDB

Make sure to use the official golang mongo driver:

- - +

9 docs tagged with "Go Basics"

View All Tags

Defer

In a normal Go application, control flows from the top to the bottom of any function that we call (this is if you don't use branching or looping).

Files

There are multiple packages we can utilize for reading files in a go program. We'll go over the most commonly used ones in this section.

HTTP Client and Server

The HTTP protocol is used to communicate between Client and Server. The `net/http` package provides all methods needed to implement a client and

Interfaces

In go you can define a type using a set of methods by using the `interface` keyword.

Maps

Maps are unordered key value pairs where each key is unique.

MongoDB

Make sure to use the official golang mongo driver:

+ + \ No newline at end of file diff --git a/docs/tags/go-intermediate.html b/docs/tags/go-intermediate.html index 5009fcd..5b9f75a 100644 --- a/docs/tags/go-intermediate.html +++ b/docs/tags/go-intermediate.html @@ -2,20 +2,20 @@ - + 5 docs tagged with "Go Intermediate" | foomo project docs - - - + + +
-

5 docs tagged with "Go Intermediate"

View All Tags

Context

The `context` package in go provides a way for request-scoped values to be passed between all goroutines that are involved in handling a request.

Embed

https://gobyexample.com/embed-directive

- - +

5 docs tagged with "Go Intermediate"

View All Tags

Context

The `context` package in go provides a way for request-scoped values to be passed between all goroutines that are involved in handling a request.

Embed

https://gobyexample.com/embed-directive

+ + \ No newline at end of file diff --git a/docs/tags/go.html b/docs/tags/go.html index c4a50c9..bef4b1d 100644 --- a/docs/tags/go.html +++ b/docs/tags/go.html @@ -2,20 +2,20 @@ - + One doc tagged with "go" | foomo project docs - - - + + +
-

One doc tagged with "go"

View All Tags
- - +

One doc tagged with "go"

View All Tags
+ + \ No newline at end of file diff --git a/docs/tags/javascript.html b/docs/tags/javascript.html index e439add..db31e69 100644 --- a/docs/tags/javascript.html +++ b/docs/tags/javascript.html @@ -2,20 +2,20 @@ - + One doc tagged with "javascript" | foomo project docs - - - + + +
-

One doc tagged with "javascript"

View All Tags
- - +

One doc tagged with "javascript"

View All Tags
+ + \ No newline at end of file diff --git a/docs/tags/overview.html b/docs/tags/overview.html index 79d3477..4877d52 100644 --- a/docs/tags/overview.html +++ b/docs/tags/overview.html @@ -2,20 +2,20 @@ - + One doc tagged with "overview" | foomo project docs - - - + + +
-

One doc tagged with "overview"

View All Tags

Stack

Our frontend stack is permanently changing as the underlying eco system does. We are trying to adopt technologies at the "Slope of Enlightenment" in the hype cycle.

- - +

One doc tagged with "overview"

View All Tags

Stack

Our frontend stack is permanently changing as the underlying eco system does. We are trying to adopt technologies at the "Slope of Enlightenment" in the hype cycle.

+ + \ No newline at end of file diff --git a/docs/tags/sse.html b/docs/tags/sse.html index a98381c..92c11ab 100644 --- a/docs/tags/sse.html +++ b/docs/tags/sse.html @@ -2,20 +2,20 @@ - + One doc tagged with "sse" | foomo project docs - - - + + +
-

One doc tagged with "sse"

View All Tags
- - +

One doc tagged with "sse"

View All Tags
+ + \ No newline at end of file diff --git a/etc/imprint.html b/etc/imprint.html index eb81419..d0ed944 100644 --- a/etc/imprint.html +++ b/etc/imprint.html @@ -2,19 +2,19 @@ - + Imprint | foomo project docs - - - + + +
-

Imprint

foomo.org is a project of bestbytes

Here is the german info and legalese:​

bestbytes GmbH
+

Imprint

foomo.org is a project of bestbytes

Here is the german info and legalese:​

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81679 München
Germany

Telefon: (+49) 089 - 307 62 399
@@ -22,7 +22,7 @@ E-Mail: Haftung für Inhalte​

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- - + + \ No newline at end of file diff --git a/img/keel-circuit-breaker-states.jpg b/img/keel-circuit-breaker-states.jpg deleted file mode 100644 index 4d806b9..0000000 Binary files a/img/keel-circuit-breaker-states.jpg and /dev/null differ diff --git a/index.html b/index.html index 636a59e..0b8ea5c 100644 --- a/index.html +++ b/index.html @@ -2,20 +2,20 @@ - -Hello from foomo project docs | foomo project docs + +Hello from foomo project docs | foomo project docs - - - + + +
-

foomo project docs

Stuff we wrote, because nobody else wanted to


foomo is an open source project, that has been maintained by the bestbytes team since 2011. It provides a wide range of utilities, libraries and daemons, that help us to tackle challenging projects.

foomo can help, if you are

  • using Go to write services
  • building frontends with TypeScript and Next.js
  • running your software on k8s
  • looking for a solution to deeply integrate your frontends with a headless cms
If more than two points apply, it will actually help a LOT

General guides

no matter if frontend or backend - there is somtehing for everyone in here

get started

Frontend guides

Build frontends with TypeScript, Next.js, styled components, gotsrpc

go build a frontend

Backend guides

Write fast and reliable services in Go and run them in the cloud

build a server

Projects

Foomo projects - libraries, utilities, friendly daemons and more

explore

CMS

foomo has extensive support for headless CMS Systems

learn the patterns

Architecture

Show me the big picture - how does foomo integrate into the k8s and Next.js eco system

explore the diagrams

Awesome Software

a curated list of software we use in the cloud, on our desktops and our devices

show me the list

DevOps

our approach to run cloud native applications where they belong

take me to the cloud

Blog

random information about programming, our ecosystem and misc fun topics

read the blog
- - +

foomo project docs

Stuff we wrote, because nobody else wanted to


foomo is an open source project, that has been maintained by the bestbytes team since 2011. It provides a wide range of utilities, libraries and daemons, that help us to tackle challenging projects.

foomo can help, if you are

  • using Go to write services
  • building frontends with TypeScript and Next.js
  • running your software on k8s
  • looking for a solution to deeply integrate your frontends with a headless cms
If more than two points apply, it will actually help a LOT

General guides

no matter if frontend or backend - there is somtehing for everyone in here

get started

Frontend guides

Build frontends with TypeScript, Next.js, styled components, gotsrpc

go build a frontend

Backend guides

Write fast and reliable services in Go and run them in the cloud

build a server

Projects

Foomo projects - libraries, utilities, friendly daemons and more

explore

CMS

foomo has extensive support for headless CMS Systems

learn the patterns

Architecture

Show me the big picture - how does foomo integrate into the k8s and Next.js eco system

explore the diagrams

Awesome Software

a curated list of software we use in the cloud, on our desktops and our devices

show me the list

DevOps

our approach to run cloud native applications where they belong

take me to the cloud

Blog

random information about programming, our ecosystem and misc fun topics

read the blog
+ + \ No newline at end of file diff --git a/search.html b/search.html index 57884c5..043a123 100644 --- a/search.html +++ b/search.html @@ -2,20 +2,20 @@ - + Search the documentation | foomo project docs - - - + + +
-

Search the documentation

- - +

Search the documentation

+ + \ No newline at end of file diff --git a/sitemap.xml b/sitemap.xml index 8247774..ade622e 100644 --- a/sitemap.xml +++ b/sitemap.xml @@ -1 +1 @@ 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\ No newline at end of file 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