| commit | d74bf36232fbb1950eba32886d153767b3b9b177 | [log] [tgz] |
|---|---|---|
| author | Stephen Twigg <twigg@google.com> | Fri May 05 15:44:40 2017 +0200 |
| committer | Damien Martin-Guillerez <dmarting@google.com> | Fri May 05 18:36:21 2017 +0200 |
| tree | af15fac9f53b83b448494bef5e02e4c57ff592fe | |
| parent | 511c35b46cead500d4e76706e0a709e50995ceba [diff] |
Add compile_jars for Skylark to JavaProvider Add compile_jars Skylark accessor to JavaProvider. This outputs the non-recursive set of jars needed to build with this target. Allows Skylark tools to get the same set of compile_jars that JavaLibrary is getting. Added test that verifies Skylark was getting lists from both compile_jars and transitive_runtime_jars of the expected length. Then, verified (via test code) those nested sets were identical to the ones provided by the java_library. To reviewers: First, would like to add documentation flags to these fields in JavaProvider. Is it possible, instead of adding them to this map to follow use the @SkylarkCallable annotation to expose methods on JavaProvider instead? It would then also be nice to mark these as experimental since won't really know the final API until java_skylark_library sandwich is done. I also tested this locally via bazel build //src:bazel and then doing ~/bazelsandbox/bazel/bazel-bin/src/bazel test SomeTarget in a different repo that had a .bzl file trying to use compile_jars. Change-Id: I1779c1b6303f36e50076c3479bfcb15a25aa95d8 PiperOrigin-RevId: 155191816
{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.