commit | 6648268ad92f37bfb243c708cbd0937e2aa6eada | [log] [tgz] |
---|---|---|
author | Laszlo Csomor <laszlocsomor@google.com> | Tue Jun 27 14:53:23 2017 +0200 |
committer | Marcel Hlopko <hlopko@google.com> | Tue Jun 27 15:07:02 2017 +0200 |
tree | 7dd340d1a52b468b7cab0e0dcae2edd540ca9515 | |
parent | 9ef1521ca0def38156c39a25f6be29bdba0f4152 [diff] |
Bazel, python tests: add more context to failures The Python integration tests will now print the stderr if the inner Bazel failed. This should help diagnosing test failures on CI. Change-Id: I138c1a6327cc263ba6a6e2c720c39ec5d4858d87 PiperOrigin-RevId: 160265298
{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.