Move the verification of the JVM earlier in the client so that less time passes between the Ping() and Run() calls and make Ping() and Cancel() calls restart the server timeout interval.

This "fixes" a race condition where the client would call Ping(), the server would time out and then the Run() call would fail. Of course, this is not an principled fix because in theory, the timeout can still happen between the two calls, but now there are only simple file system operations and a tiny bit of CPU use between the two so it should be vanishingly unlikely. We use ->Ping() to verify server liveness after we start it up, so in theory, the timeout could strike between those two calls, too...

TESTED=By running "bazel --max_timeout_secs=2 info install_base" 100 times in a test and running the test 200 times. This procedure triggered the bug pretty reliably.

--
MOS_MIGRATED_REVID=126902519
2 files changed
tree: 7183bb2f1cadaed77531bf0d2afb1c9ed48fa5d5
  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: