| commit | 6b1d3184ac1c78439deac3c4f6d2531210fe34ce | [log] [tgz] |
|---|---|---|
| author | Googler <noreply@google.com> | Tue Dec 13 15:02:34 2016 +0000 |
| committer | John Cater <jcater@google.com> | Tue Dec 13 16:30:44 2016 +0000 |
| tree | 20b43146c2881d53f6d27ed6f7a0af8b241494d0 | |
| parent | efb14117127789c0b0bc4670d4a92a44fbb3b4e4 [diff] |
Switch to using multi-level repository names by default.
When these rules were originally written, I'd wanted the repository names embeded in the tarball to have a similar shape to Blaze's output trees, but unfortunately multi-level names were not yet supported. Support for multiple levels was introduced as part of the v2 registry specification, which is now all DockerHub supports, and the vast majority of clients in circulation support multi-level names. This change implements my original intention, which is to name the resulting image: bazel/{target}.
To get the legacy naming system use the attribute: embed_flat_names=True.
RELNOTES[INC]: docker_build: change the repository names embedded by docker_build. You can revert to the old behavior by setting legacy_repository_naming=True.
--
PiperOrigin-RevId: 141886976
MOS_MIGRATED_REVID=141886976
{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.