Access interface constants to explicitly trigger the execution of interface
initializers. The problem is that when we desugar default methods, the static
intializer of interface will not be executed. The JVM spec says that if an
interface has default methods, then when it is loaded, it will also be
initialized. After we desugar such an interface, its default methods are
removed, and when we load the interface, the <clinit> will not be executed.

This CL checks whether an interface has default methods and fields. If yes (needs to be initialized when the interface is loaded), it injects field access code
to access the interface fields in the <clinit> of the companion class.
We also create a constant $$CONSTANT$$ in the companion class.

Then for all the classes that implement the interface, we inject GETSTATIC in the class <clinit> to the $$CONSTANT$$ of the companion class of the interface. This indirection is to avoid the IllegalAccessError when the interface is package private.

Note that accessing an arbitrary interface field does not guarantee the
interface will be initialized. We need to access the field that is initialized
in the interface static initializer.

RELNOTES: None
PiperOrigin-RevId: 159496992
3 files changed
tree: 83cea7ff5b617cb4a9e0e5a91afb06b419fad390
  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. 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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