Adds aar_import rule to Bazel along with tools needed to implement it. Currently only uses AndroidManifest.xml, classes.jar and res/ from AARs. This is sufficient for many of the AARs of Google Play Services and Android Support Repository.

The next step will be for AndroidSdkRepositoryRule to scan the SDK and generate aar_import rules for the AARs within.

The rule is not yet documented because it is not intended for end users to use it yet. We should probably support more of the features of AARs before that time. See http://tools.android.com/tech-docs/new-build-system/aar-format for all of the files that can be included in AARs.

Also note that R.txt from the AAR is intentionally ignored and regenerated based on the contents of res/. This is more correct, because the R.txt inside of an AAR can contain ids for dependencies of the AAR that are not included in res/.

See https://github.com/bazelbuild/bazel/issues/564 for discussion of supporting AARs and https://github.com/bazelbuild/bazel/issues/1745 for motivation to get it done soon.

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9 files changed
tree: ac6225a6d1e239ada155b52fa562990afbb93124
  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. compile.sh
  13. CONTRIBUTING.md
  14. CONTRIBUTORS
  15. LICENSE.txt
  16. README.md
  17. 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: