| commit | 2f5ca7706f3d9a8a7e32e8bb2f689cf763374836 | [log] [tgz] |
|---|---|---|
| author | Greg Estren <gregce@google.com> | Fri Jun 17 00:02:06 2016 +0000 |
| committer | Yue Gan <yueg@google.com> | Fri Jun 17 09:27:09 2016 +0000 |
| tree | 438f202cb51d5ee2f6f080c9a2794a8704ce6aea | |
| parent | 9f7a9d7c7cb51202055b1b85b95793880185a6ff [diff] |
Adds cycle detection errors when top-level dynamic configuration creation fails because transitive fragment visitation hits these cycles. This makes CircularDependencyTest pass with dynamic configurations. It's a little bit unfortunate that BuildViewTestCase follows a different code path to create configured targets than production (BuildView.getConfiguredTargetForTesting vs. BuildView.update). As a result, doing an actual build over the rules defined in CircularDependencyTest#testTwoCycles correctly reports the cycle, while the test itself doesn't. That means the test isn't 100% faithfully testing production logic. But I'm not interested in fixing the gap between BuildView.update and BuildView.getConfiguredTargetForTesting in this change. That's part of a larger refactoring effort on the various forked ways of acccessing configured targets and dependencies in BuildView. -- MOS_MIGRATED_REVID=125118553
{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.