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Andrew ClarkandGitHub bc1d4d4069 [Scheduler] Profiling features (#16145 )

* [Scheduler] Mark user-timing events

Marks when Scheduler starts and stops running a task. Also marks when
a task is initially scheduled, and when Scheduler is waiting for a
callback, which can't be inferred from a sample-based JavaScript CPU
profile alone.

The plan is to use the user-timing events to build a Scheduler profiler
that shows how the lifetime of tasks interact with each other and
with unscheduled main thread work.

The test suite works by printing an text representation of a
Scheduler flamegraph.

* Expose shared array buffer with profiling info

Array contains

- the priority Scheduler is currently running
- the size of the queue
- the id of the currently running task

* Replace user-timing calls with event log

Events are written to an array buffer using a custom instruction format.
For now, this is only meant to be used during page start up, before the
profiler worker has a chance to start up. Once the worker is ready, call
`stopLoggingProfilerEvents` to return the log up to that point, then
send the array buffer to the worker.

Then switch to the sampling based approach.

* Record the current run ID

Each synchronous block of Scheduler work is given a unique run ID. This
is different than a task ID because a single task will have more than
one run if it yields with a continuation.

2019-08-13 19:01:17 -07:00

npm

[Scheduler] Profiling features (#16145 )

2019-08-13 19:01:17 -07:00

src

[Scheduler] Profiling features (#16145 )

2019-08-13 19:01:17 -07:00

index.js

Rename schedule to scheduler (#13683 )

2018-09-19 01:26:28 +01:00

package.json

Bump package.json versions