| commit | cf49294141665da4f4d005610c816fc591c08c22 | [log] [tgz] |
|---|---|---|
| author | Lukacs Berki <lberki@google.com> | Mon Jun 29 07:48:59 2015 +0000 |
| committer | Damien Martin-Guillerez <dmarting@google.com> | Mon Jun 29 16:39:38 2015 +0000 |
| tree | 91d6c466f5b2c5c0c74fd1db66ca63ec82ae4a22 | |
| parent | 4313d37941a4c8196af112e9bf3b22d6c366d3cc [diff] |
Remove BuildConfiguration.cacheKey() and replace .shortCacheKey() with a .checksum() method that is computed from the checksum of the build options. Also remove Fragment.cacheKey() and Fragment.getName(). The reasoning is that within a single build, if two BuildConfigurations share the same BuildOptions, they must be the same because BuildConfiguration can only be a function of BuildOptions, specific targets (which stay the same during a build) and BlazeDirectories (which stay the same during the lifetime of a server). Between different builds if the configurations are recreated, they will always be considered different because Java reference equality (==) is used for comparing BuildConfigurations. Also remove "Serializable" tags from configuration-related things. -- MOS_MIGRATED_REVID=97107881
{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.
How to install Bazel
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The Bazel command line is documented in the user manual
The rule reference documentation is in the build encyclopedia
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