| commit | 80ea129f7dfee37536110b2949c5a33f369fee10 | [log] [tgz] |
|---|---|---|
| author | Jason Young <jasonyoung@google.com> | Mon Apr 10 14:41:11 2017 +0000 |
| committer | Jakob Buchgraber <buchgr@google.com> | Tue Apr 11 10:49:49 2017 +0200 |
| tree | e5a68bb7fe1aae0485ac2ea12629d1ddac69b566 | |
| parent | 505ef57569b9cceb658d825de9ca47b5cc1d96ca [diff] |
Use sha256 prefix when tagging docker images with full IDs Newer versions of docker require 'sha256' prefix with full IDs (see https://github.com/docker/docker/issues/20972#issuecomment-193381422). Without the prefix users get the following error with newer versions of docke, e.g. 17.04.0-ce-rc1: $ docker tag 7cd4bfeb6766d1c5e5d729b7444cba3d9f97dfddfbeab90ed2e3f7147804ee8f \ docker.io/<user>/<image>:<tag> Error parsing reference: "7cd4bfeb6766d1c5e5d729b7444cba3d9f97dfddfbeab90ed2e3f7147804ee8f" is not a valid repository/tag: invalid repository name (7cd4bfeb6766d1c5e5d729b7444cba3d9f97dfddfbeab90ed2e3f7147804ee8f), cannot specify 64-byte hexadecimal strings --- I'm not sure if this is the proper solution, but it seems to fix the problem with docker version `17.04.0-ce-rc1` as well as older docker version (e.g. `1.12.0`). Alternative solutions welcome. Closes #2755. PiperOrigin-RevId: 152685896
{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.