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[search] Add Vue search performance instrumentation
This is almost identical to the instrumentation currently used in production for mediawiki.searchSuggest -- the only differences being in the nomenclature of variables, etc. As part of comparing Vue search with legacy search, we need to track how long it takes a keypress to load and render search results for Vue search. This will only be used only in synthetic testing at this time (Real user monitoring (RUM) is not in scope for this ticket). To test locally, first enter characters in input. Then to see the metrics recorded: ``` // View all marks performance.getEntriesByType('mark'); // View all measures performance.getEntriesByType('measure'); ``` This commit adds the following metrics which will only be used in our synthetic tests. We are not collecting RUM metrics at this time. Measures: * mwVectorVueSearchLoadStartToFirstRender: Measures the time it takes from the start of loading the search module to the first render of results. * mwVectorVueSearchQueryToRender: Measures the time it takes from the start of the fetch to the render of search results. Bug: T251544 Change-Id: I39200648a3a0a4079a132134d142ad8997c8962a
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@ -16,6 +16,7 @@
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:search-language="language"
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:show-thumbnail="showThumbnail"
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:show-description="showDescription"
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@fetch-start="instrumentation.onFetchStart"
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@fetch-end="instrumentation.onFetchEnd"
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@suggestion-click="instrumentation.onSuggestionClick"
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>
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@ -8,7 +8,37 @@
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* @see https://gerrit.wikimedia.org/r/plugins/gitiles/mediawiki/skins/Vector/+/refs/heads/master/includes/Constants.php
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*/
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var INPUT_LOCATION_MOVED = 'header-moved',
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wgScript = mw.config.get( 'wgScript' );
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wgScript = mw.config.get( 'wgScript' ),
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// T251544: Collect search performance metrics to compare Vue search with
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// mediawiki.searchSuggest performance. Marks and Measures will only be
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// recorded on the Vector skin and only if browser supported.
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shouldTestSearchPerformance = !!( window.performance &&
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window.requestAnimationFrame &&
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performance.mark &&
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performance.measure &&
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performance.getEntriesByName &&
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performance.clearMarks ),
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loadStartMark = 'mwVectorVueSearchLoadStart',
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queryMark = 'mwVectorVueSearchQuery',
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renderMark = 'mwVectorVueSearchRender',
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queryToRenderMeasure = 'mwVectorVueSearchQueryToRender',
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loadStartToFirstRenderMeasure = 'mwVectorVueSearchLoadStartToFirstRender';
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function onFetchStart() {
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if ( !shouldTestSearchPerformance ) {
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return;
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}
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// Clear past marks that are no longer relevant. This likely means that the
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// search request failed or was cancelled. Whatever the reason, the mark
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// is no longer needed since we are only interested in collecting the time
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// from query to render.
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if ( performance.getEntriesByName( queryMark ).length ) {
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performance.clearMarks( queryMark );
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}
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performance.mark( queryMark );
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}
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/**
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* @param {FetchEndEvent} event
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@ -22,6 +52,36 @@ function onFetchEnd( event ) {
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query: event.query,
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inputLocation: INPUT_LOCATION_MOVED
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} );
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if ( shouldTestSearchPerformance ) {
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// Schedule the mark after the search results have rendered and are
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// visible to the user. Two rAF's are needed for this since rAF will
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// execute before the rendering steps happen (e.g. layout and paint). A
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// nested rAF will execute after these rendering steps have completed
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// and ensure the search results are visible to the user.
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requestAnimationFrame( function () {
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requestAnimationFrame( function () {
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if ( !performance.getEntriesByName( queryMark ).length ) {
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return;
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}
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performance.mark( renderMark );
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performance.measure( queryToRenderMeasure, queryMark, renderMark );
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// Measure from the start of the lazy load to the first render if we
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// haven't already captured that info.
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if ( performance.getEntriesByName( loadStartMark ).length &&
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!performance.getEntriesByName( loadStartToFirstRenderMeasure ).length ) {
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performance.measure( loadStartToFirstRenderMeasure, loadStartMark, renderMark );
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}
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// The measures are the most meaningful info so we remove the marks
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// after we have the measure.
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performance.clearMarks( queryMark );
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performance.clearMarks( renderMark );
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} );
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} );
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}
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}
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/**
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@ -91,6 +151,7 @@ function generateUrl( suggestion, meta ) {
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module.exports = {
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listeners: {
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onFetchStart: onFetchStart,
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onFetchEnd: onFetchEnd,
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onSuggestionClick: onSuggestionClick,
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