3 Commits

Author SHA1 Message Date
Alan Agius
dc40a93317 perf(ngcc): spawn workers lazily (#35719)
With this change we spawn workers lazily based on the amount of work that needs to be done.

Before this change we spawned the maximum of workers possible. However, in some cases there are less tasks than the max number of workers which resulted in created unnecessary workers

Reference: #35717

PR Close #35719
2020-03-02 08:17:02 -08:00
George Kalpakas
c714330856 refactor(ngcc): add debug logging for the duration of different operations (#32427)
This gives an overview of how much time is spent in each operation/phase
and makes it easy to do rough comparisons of how different
configurations or changes affect performance.

PR Close #32427
2019-09-09 15:55:14 -04:00
George Kalpakas
e36e6c85ef perf(ngcc): process tasks in parallel in async mode (#32427)
`ngcc` supports both synchronous and asynchronous execution. The default
mode when using `ngcc` programmatically (which is how `@angular/cli` is
using it) is synchronous. When running `ngcc` from the command line
(i.e. via the `ivy-ngcc` script), it runs in async mode.

Previously, the work would be executed in the same way in both modes.

This commit improves the performance of `ngcc` in async mode by
processing tasks in parallel on multiple processes. It uses the Node.js
built-in [`cluster` module](https://nodejs.org/api/cluster.html) to
launch a cluster of Node.js processes and take advantage of multi-core
systems.

Preliminary comparisons indicate a 1.8x to 2.6x speed improvement when
processing the angular.io app (apparently depending on the OS, number of
available cores, system load, etc.). Further investigation is needed to
better understand these numbers and identify potential areas of
improvement.

Inspired by/Based on @alxhub's prototype: alxhub/angular@cb631bdb1
Original design doc: https://hackmd.io/uYG9CJrFQZ-6FtKqpnYJAA?view

Jira issue: [FW-1460](https://angular-team.atlassian.net/browse/FW-1460)

PR Close #32427
2019-09-09 15:55:13 -04:00