commit | 8d8abe46bd7ab0c87beb31d97c9185760d762d79 | [log] [tgz] |
---|---|---|
author | Eduardo Colaco <eduardocolaco@google.com> | Thu Nov 03 15:33:47 2016 +0000 |
committer | Laszlo Csomor <laszlocsomor@google.com> | Thu Nov 03 16:12:39 2016 +0000 |
tree | 197a26794eddd4b59878b199c1914bc751f5a776 | |
parent | 38e54ac14e69113e9790ce9a526784e0f18e4b6e [diff] |
Writes a machine readable representation of BuildEvents to a file (varint delimited). Adds --experimental_build_event_binary_file option that enables varint delimited proto loggging to the specified file path Adds varint delimited BuildEventStreamTransport and BuildEventStreamerModule Adds BuildEventStreamerModule for configuring and setting up BuildEventStreamer and its associated BuildEventTransports. Adds BuildEventTransportFactory which creates a Set of transports from command options. Moves BuildEventStreamer configuration from BlazeCommandDispatcher and BuildEventStreamerModule -- Change-Id: If71f2b58654879c2509206da47e6d1a846bf397f Reviewed-on: https://bazel-review.googlesource.com/#/c/7010/ MOS_MIGRATED_REVID=138073726
{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.