@gregdingle/log-time-to-next-idle
v1.0.2
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Measuring the performance of user interactions with requestIdleCallback and requestAnimationFrame
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log-time-to-next-idle
Measuring the performance of user interactions with requestIdleCallback and requestAnimationFrame
Quick Start
Just put a call to logTimeToNextIdle
at the start of any event handler. Here is an example of logging the time it takes to switch tabs in a React app.
const logTimeToNextIdle = require('log-time-to-next-idle')
// ...
<Tabs
onChange={(_event, tabName) => {
// This is where the magic happens
logTimeToNextIdle(`switching-to-tab-${tabName}`);
handleChange(tabName);
// There is no need to mark the end of the interaction
// You will see a message in the console like
// "switching-to-tab-library took 27ms until unfrozen, 117ms until idle"
}}
>
<Tab label="Library" />
<Tab label="Objects" />
</Tabs>
Background
I created this package in August 2022 out of a function I wrote for Flux. We've used it to track the performance of around 50 key user interactions over 3 months. We're very happy with how it is working.
What is a user interaction?
A user interaction is defined here as any input the user provides—mouse click, key press, and so on—coupled with the intended effects of the input—menu opened, element added, and so on. The performance of a user interaction is simply the time between the start of the input to the end of the effects. For example, clicking on a select box will open a menu. The interaction is done when the menu has finished loading.
A subset of the interaction time is defined as “frozen time”. This is the interval following the user input when there are zero screen updates––no animation frames.
How is a user interaction measured?
Although the concept of a user interaction is easy to define intuitively, the end state can be hard to define formally. In modern reactive UIs, any part of the UI can freely change in response to an update of a store of application state (Redux, Zustand, and so forth). The initial handler of some user input doesn't know all the downstream effects of its execution and so it can't mark the end of the interaction.
To deal with this gap, log-time-to-next-idle
takes a shortcut. Assuming that...
- The CPU is idle when there is no user input
- All effects of a user input happen immediately after the input with the highest priority
- All effects require CPU time
- The interaction is done when the CPU returns to idle
...we can leverage requestIdleCallback to mark when an interaction is done.
Similarly, we can leverage requestAnimationFrame to indicate when an interaction has yielded control back to the main thread, unfreezing the UI.
In short, log-time-to-next-idle
measures user interactions by queuing a requestAnimationFrame and a requestIdleCallback at the start of an interaction, then recording the time when the callbacks fire.
Note on concurrency
log-time-to-next-idle
deals with overlapping interactions by cancelling earlier queued callbacks. In other words, the last interaction "wins" and any previous in-progress interaction is ignored.
Profiler integration
log-time-to-next-idle
will store measured intervals in the browser using window.performance.measure (if available). The intervals will then show up in the profiler (if available).
API
logTimeToNextIdle(name, callback, options)
Parameters
name {String}
unique name of user interaction to measure. Required.callback {Function}
an optional function that runs whenrequestIdleCallback
fires. The default is to log withconsole.info
.options {Object}
an optional plain object described below.
Returns
undefined
Options
{
// Warn when a new interaction starts while an old interaction is still in progress
warnOnConcurrent: true,
// Appended to the name for profiling of "frozen time"
frozenSuffix: "_frozen",
// Max time in milliseconds after which `requestIdleCallback` will fire
maxTimeInMs: 10000,
// Min time in milliseconds before which `requestIdleCallback` cannot fire
minTimeInMs: 10,
}
callback(name, data)
Parameters
name {String}
name passed intologTimeToNextIdle
data {Object}
a result object described below.
Returns
undefined
Data
{
// Duration from `logTimeToNextIdle` to `requestIdleCallback`
durationInMs,
// Duration from `logTimeToNextIdle` to `requestAnimationFrame`
frozenDurationInMs,
// Flag that indicates whether `maxTimeInMs` was exceeded
didTimeout,
}
Custom Logging
Here is an example that logs to the console when in dev build mode, and logs to somewhere in the cloud when in prod build.
<Tabs
onChange={(_event, tabName) => {
logTimeToNextIdle(`switching-to-tab-${tabName}`, (name, data) =>
if (process.env.NODE_ENV === "development") {
console.log(`${name} took ${data.durationInMs}ms`)
} else {
logSomewhere(name, {
durationInMs: data.durationInMs,
})
}
);
handleChange(tabName);
}}
>
<Tab label="Library" />
<Tab label="Objects" />
</Tabs>