Bridged --experimental_repository_cache value to HttpDownloader. Created HttpCache skeleton to implement caching logic of HttpDownloadValues as the first step (more types of caches will come later).

Having RepositoryDelegatorFunction initialize the cache in the respective RepositoryFunction handlers decouples the cache implementation from itself. It delegates the choice of Cache classes to the respective RepositoryFunctions, and let them decide what to do with the PathFragment of the cache location.

Continuation of commit 239d995e359ab38a9b5c83eff4d31684b4fc5b9c.

A follow up CL will contain the implementation of HttpCache. For now, it's the empty interface of com.google.common.cache.Cache.

GITHUB: #1752

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MOS_MIGRATED_REVID=135400724
7 files changed
tree: 85db1d7ea8ba2de156b4e663a501c3db6f766db1
  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: