Extract a SpawnRunner interface

The RemoteSpawnRunner now implements the SpawnRunner interface.

Note that Google's internal implementations were also retrofitted, and
SpawnRunner is intended as a stable interface; that's also why I decided to
move all params into SpawnExecutionPolicy, which is, unfortunately, not quite
done yet.

The specification of SpawnRunner is also still incomplete. In particular, it
is still missing execution info keys, as well as inputs and outputs handling.

This is a step towards unifying all SpawnStrategy implementations, with the
SpawnRunner implementations performing the actual Spawn execution.

There should be no user-visible semantic changes to the code, but one small
fix:
- GrpcActionCache was trying to download files even if there were none

PiperOrigin-RevId: 152105696
4 files changed
tree: 20835fec64ff39a610931e1ea880b288d6ad9f65
  1. examples/
  2. scripts/
  3. site/
  4. src/
  5. third_party/
  6. tools/
  7. .gitattributes
  8. .gitignore
  9. AUTHORS
  10. BUILD
  11. CHANGELOG.md
  12. combine_distfiles.sh
  13. compile.sh
  14. CONTRIBUTING.md
  15. CONTRIBUTORS
  16. ISSUE_TEMPLATE.md
  17. LICENSE
  18. LICENSE.txt
  19. README.md
  20. WORKSPACE
README.md

Bazel (Beta)

{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.

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