Integrate memoization into standard serialization. This involves a number of large changes:

1. SerializationContext and DeserializationContext become the owners of the Memoizer if requested. They produce new versions of themselves on demand that are memoization-aware. Because of intricacies of Skylark that I do not fully understand, we inject a Mutability object when starting memoization, and so to be conservative, that injection starts up a new memoization frame, nested if we were already memoizing, just like before. It would be nice to decouple this injection from memoization in the future.

2. MemoizingCodec is deleted, but really ObjectCodec becomes MemoizingCodec, so it lives on. BaseCodec is deleted since it now has only one implementation.

3. The simplified model of registering MemoizingCodecs is adopted for ObjectCodecs: all codecs are registered based on their #getEncodedClass and #additionalEncodedSubclasses. This also allows us to register codecs that are defined using tricky parameter types, since we're no longer trying to reflectively examine them. This required a clean-up of such codecs, and the addition of ArrayListCodec to stop NullableListCodec from making lists unmodifiable when they shouldn't be.

4. @AutoCodec is extended to allow users to specify that memoization should start with this codec.

To ensure bit-equivalence, SkyKeySerializer disables memoization.

PiperOrigin-RevId: 188918251
29 files changed
tree: a37d6665ae4c4f156e0ff27616bfe8ea01791846
  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.py
  13. combine_distfiles_to_tar.sh
  14. compile.sh
  15. CONTRIBUTING.md
  16. CONTRIBUTORS
  17. ISSUE_TEMPLATE.md
  18. LICENSE
  19. README.md
  20. WORKSPACE
README.md

Bazel

{Fast, Correct} - Choose two

Build and test software of any size, quickly and reliably.

  • Speed up your builds and tests: Bazel only rebuilds what is necessary. With advanced local and distributed caching, optimized dependency analysis and parallel execution, you get fast and incremental builds.

  • One tool, multiple languages: Build and test Java, C++, Android, iOS, Go, and a wide variety of other language platforms. Bazel runs on Windows, macOS, and Linux.

  • Scalable: Bazel helps you scale your organization, codebase, and continuous integration solution. It handles codebases of any size, in multiple repositories or a huge monorepo.

  • Extensible to your needs: Easily add support for new languages and platforms with Bazel's familiar extension language. Share and re-use language rules written by the growing Bazel community.

Getting Started

Documentation

Contributing to Bazel

See CONTRIBUTING.md

Build status

Bazel is released in ‘Beta’. See the product roadmap to learn about the path toward a stable 1.0 release.