Fix test flakiness.

In the Bazel client's file_test, when testing
multi-threaded pipe access, wait for all data to
be written into the pipe.

Pipes are not synchonization primitives in that
read(2) returns immediately, reading as much data
as it can, and won't block if it cannot read as
much as requested. (This is even tested by the
last ASSERT_EQ, trying to read 40 bytes.)

This is however also true for the second ASSERT_EQ
that attempts to read 5 bytes. The Send on the
writer_thread is racing with the Receive on the
main thread (as it should), and sometimes the main
thread wins, resulting in fewer bytes received
than previously expected.

--
PiperOrigin-RevId: 142429243
MOS_MIGRATED_REVID=142429243
1 file changed
tree: 740521a590624418b63fd22de91278ff69a1b9db
  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.

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