`performance.mark` with metadata is useful for Real user monitoring
azu
Posted on November 17, 2017
I've created performance-mark-metadata.
This library provide performance.mark
with custom meta data.
This library inspired by User Timing API Level 3 proposal.
This proposal will add details
as metadata to performance.mark
.
Currently, Performance.mark() API can not add metadata to marking.
Supports
- Modern browser and Node.js >= 8.5.0
- They are supported Performance.mark() API.
- Performance Timing API | Node.js v9.2.0 Documentation
Old browser need to Performance.mark()
polyfill.
Install
Install with npm:
npm install performance-mark-metadata
Example
import { PerformanceMetadataMarker } from "performance-mark-metadata";
const marker = new PerformanceMetadataMarker();
const metadata = {
details: { key: "value" }
};
const markerName = "name";
// mark with metadata
marker.mark(markerName, metadata);
performance.getEntriesByName(markerName).forEach(entry => {
// get metadata for entry
const result = marker.getEntryMetadata(entry);
/*
{
details: { key: "value" }
};
*/
assert.strictEqual(result, metadata, "should get same metadata");
});
Usage in Node.js
Node.js 8.5.0 introduce perf_hooks
module.
You can use this library by passing require("perf_hooks").performance
to PerformanceMetadataMarker
constructor arguments.
import { PerformanceMetadataMarker } from "performance-mark-metadata";
const nodePerformanceHook = require("perf_hooks");
const performance = nodePerformanceHook.performance;
const marker = new PerformanceMetadataMarker({
performance
});
marker.mark("name", {
details: { key: "value" }
});
UseCase
This example show actual usage.
You want to found performance problem on viewing the site.
You can analyze the problem by using performance-mark-metadata
.
It is useful for Real user monitoring(RUM).
In development, you can use browser's development tools, but it is difficult about RUM.
Mark points
- Mark current Frame Per Seconds(FPS)
- Mark each action like "onClick"
Record FPS
const { PerformanceMetadataMarker } = require("performance-mark-metadata");
const marker = new PerformanceMetadataMarker();
const FpsEmitter = require("fps-emitter");
const fps = new FpsEmitter();
fps.on("update", function(FPS) {
// mark current FPS
marker.mark("FPS", {
details: {
FPS: FPS
}
});
});
and record action
// heavy task
const heavyTaskButton = document.getElementById("js-button");
heavyTaskButton.addEventListener("click", () => {
marker.mark("Heavy Action");
// ... heavy task ...
})
After that, you can get FPS and action logs.
const logData = performance.getEntriesByType("mark").map(entry => {
const meta = marker.getEntryMetadata(entry);
return {
type: entry.name,
timeStamp: entry.startTime,
meta: meta
};
});
Analytics
You can get the log data and analyze the log data.
For example, visualize the log data by using C3.js.
You can found the relationship between "FPS" and "Heavy Task".
As a result, You can found that the performance problem is caused by "Heavy Task".
Repository
- Example source code: performance-mark-metadata/docs/
- azu/performance-mark-metadata:
performance.mark
with custom meta data.
Welcome to ⭐️ and Pull Request!
Posted on November 17, 2017
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