mirror of
https://github.com/gristlabs/grist-core.git
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7a85aaa7a1
Summary: Adds a handful of new telemetry events, and makes a few tweaks to allow for better organization of telemetry. Test Plan: Manual. Reviewers: paulfitz Reviewed By: paulfitz Differential Revision: https://phab.getgrist.com/D4100
82 lines
3.3 KiB
TypeScript
82 lines
3.3 KiB
TypeScript
import { ITelemetry } from 'app/server/lib/Telemetry';
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const MONITOR_PERIOD_MS = 5_000; // take a look at memory usage this often
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const MEMORY_DELTA_FRACTION = 0.1; // fraction by which usage should change to get reported
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const CPU_DELTA_FRACTION = 0.1; // by how much cpu usage should change to get reported
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const MONITOR_LOG_PERIOD_MS = 600_000; // log usage at least this often
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let _timer: NodeJS.Timeout|undefined;
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let _lastTickTime: number = Date.now();
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let _lastReportTime: number = 0;
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let _lastReportedHeapUsed: number = 0;
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let _lastCpuUsage: NodeJS.CpuUsage = {system: 0, user: 0};
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let _lastReportedCpuAverage: number = 0;
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/**
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* Monitor process memory (heap) and CPU usage, reporting as telemetry on an interval, and more
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* often when usage ticks up or down by a big enough delta.
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*
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* There is a single global process monitor, reporting to the `telemetry` object passed into the
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* first call to start().
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*
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* Returns a function that stops the monitor, or null if there was already a process monitor
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* running, and no new one was started.
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*
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* Reports:
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* - heapUsedMB: Size of JS heap in use, in MiB.
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* - heapTotalMB: Total heap size, in MiB, allocated for JS by v8.
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* - cpuAverage: Fraction between 0 and 1, cpu usage over the last MONITOR_PERIOD_MS. Note it
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* includes usage from all threads, so may exceed 1.
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* - intervalMs: Interval (in milliseconds) over which cpuAverage is reported. Being much
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* higher than MONITOR_PERIOD_MS is a sign of being CPU bound for that long.
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*/
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export function start(telemetry: ITelemetry): (() => void) | undefined {
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if (!_timer) {
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// Initialize variables needed for accurate first-tick measurement.
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_lastTickTime = Date.now();
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_lastCpuUsage = process.cpuUsage();
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_timer = setInterval(() => monitor(telemetry), MONITOR_PERIOD_MS);
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return function stop() {
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clearInterval(_timer);
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_timer = undefined;
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};
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}
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}
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function monitor(telemetry: ITelemetry) {
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const memoryUsage = process.memoryUsage();
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const heapUsed = memoryUsage.heapUsed;
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const cpuUsage = process.cpuUsage();
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const now = Date.now();
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const intervalMs = now - _lastTickTime;
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// Note that cpuUsage info is in microseconds, while intervalMs is milliseconds.
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const cpuAverage = (cpuUsage.system + cpuUsage.user - _lastCpuUsage.system - _lastCpuUsage.user)
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/ 1000 / intervalMs;
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_lastCpuUsage = cpuUsage;
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_lastTickTime = now;
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// Report usage when:
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// (a) enough time has passed (MONITOR_LOG_PERIOD_MS)
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// (b) memory usage ticked up or down enough since the last report
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// (c) average cpu usage ticked up or down enough since the last report
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if (
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now > _lastReportTime + MONITOR_LOG_PERIOD_MS ||
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Math.abs(heapUsed - _lastReportedHeapUsed) > _lastReportedHeapUsed * MEMORY_DELTA_FRACTION ||
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Math.abs(cpuAverage - _lastReportedCpuAverage) > CPU_DELTA_FRACTION
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) {
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telemetry.logEvent(null, 'processMonitor', {
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full: {
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heapUsedMB: Math.round(memoryUsage.heapUsed/1024/1024),
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heapTotalMB: Math.round(memoryUsage.heapTotal/1024/1024),
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cpuAverage: Math.round(cpuAverage * 100) / 100,
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intervalMs,
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},
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});
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_lastReportedHeapUsed = heapUsed;
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_lastReportedCpuAverage = cpuAverage;
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_lastReportTime = now;
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}
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}
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