| commit | 25120df651ae7d0ac9e85cbbea54921d1f2c4ae4 | [log] [tgz] |
|---|---|---|
| author | Kush Chakraborty <kush@google.com> | Thu Dec 08 19:53:41 2016 +0000 |
| committer | Irina Iancu <elenairina@google.com> | Fri Dec 09 15:32:55 2016 +0000 |
| tree | f0938c8db71c6e4b2684befdb88fa6023cc85155 | |
| parent | 38edc5dc9d1fd58ffcb3223a1c194e04eb066437 [diff] |
Initial code for Persistent Java Test Runner. At this point this does nothing more than re-run the exact same test without having to re-start the test runner. In future iterations the aim is to be able to re-run tests with modified code, without having to re-start the test runner. To test out the WorkerTestStrategy simply use --test_strategy=experimental_worker for a test with bazel. -- PiperOrigin-RevId: 141465929 MOS_MIGRATED_REVID=141465929
{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.