| commit | 93e3eeadc24197c62a12fc843db319cb58d98d84 | [log] [tgz] |
|---|---|---|
| author | janakr <janakr@google.com> | Thu Mar 30 22:09:37 2017 +0000 |
| committer | Philipp Wollermann <philwo@google.com> | Fri Mar 31 17:12:12 2017 +0200 |
| tree | 577f4816a47f8a91d7c1c57f1f7c30a211637718 | |
| parent | 354137f5af34c603334458bbabed4fca91b1d2ed [diff] |
If --batch, --keep_going, --discard_analysis_cache, and the new --noexperimental_enable_critical_path_profiling flags are all specified, then Bazel will delete Actions from ActionLookupValues as they are executed in order to save memory. Because an already-run action may output an artifact that is only requested later in the build, we need to maintain a way for the artifact to look up the action. But in most cases we don't need to keep the action itself, just its output metadata. Some actions unfortunately are needed post-execution, and so we special-case them. Also includes dependency change with description: Move action out of key. This keeps action references from polluting the graph -- actions are just stored in one SkyValue, instead of being present in SkyKeys. This does mean additional memory used: we have a separate ActionLookupData object per Action executed. That may reach ~24M for million-action builds. PiperOrigin-RevId: 151756383
{Fast, Correct} - Choose two
Bazel is a build tool that builds code quickly and reliably. It is used to build the majority of Google‘s software, and thus it has been designed to handle build problems present in Google’s development environment, including:
A massive, shared code repository, in which all software is built from source. Bazel has been built for speed, using both caching and parallelism to achieve this. Bazel is critical to Google's ability to continue to scale its software development practices as the company grows.
An emphasis on automated testing and releases. Bazel has been built for correctness and reproducibility, meaning that a build performed on a continuous build machine or in a release pipeline will generate bitwise-identical outputs to those generated on a developer's machine.
Language and platform diversity. Bazel's architecture is general enough to support many different programming languages within Google, and can be used to build both client and server software targeting multiple architectures from the same underlying codebase.
Find more background about Bazel in our FAQ.