Make Android data binding work with --experimental_use_parallel_android_resource_processing.

Without that flag, data binding already works via hooks in ApplicationManifest and
AndroidResourceProcessingAction.

The flag replaces AndroidResourceProcessingAction with three smaller processors:
AndroidResourceParsingAction, AndroidResourceMergingAction, and
AndroidResourceValidatorAction. So this change hooks the same logic into
AndroidResourceMergingAction (at the equivalent place where data binding
applies in the other pipeline).

We could alternatively hook this into AndroidResourceValidatorAction (i.e. anywhere
after resource merging completes and before aapt starts). But doing that would block
Java compilation on aapt finishing, which the whole point of the flag is to unblock.

--
PiperOrigin-RevId: 147770236
MOS_MIGRATED_REVID=147770236
4 files changed
tree: 0ec950dcde90cd663eae31ae9e01294a92fbceed
  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.txt
  18. README.md
  19. 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.

Getting Started

About the Bazel project

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