| commit | 79adf59e2973754c8c0415fcab45cd58c7c34697 | [log] [tgz] |
|---|---|---|
| author | Alpha Lam <alpha.lam.ts@gmail.com> | Wed Feb 10 15:38:59 2016 +0000 |
| committer | Dmitry Lomov <dslomov@google.com> | Wed Feb 10 16:34:53 2016 +0000 |
| tree | 2e56ff05720321037078b779bf0463e91578fc6a | |
| parent | 63b856f79629a91ed041c1385d8a9bcf8a258c33 [diff] |
Implement distributed caching for Bazel This patch implements distributed caching for Bazel using Hazelcast. Hazelcast is used as a key value store that stores content of files indexed by the digest of the file. The cache also stores the list of files for an action. The key in this case is the digest from the key of the action and the list of files. In this change I also added the interface for remote execution. The implementation will be added in a subsequent patch. This change is only the first in a series of changes related to distributed caching and remote execution. I plan to revise the APIs and implementation in subsequent changes. -- Change-Id: I569285d6149a4e9f8ba2362682c07a9f1e1943b7 Reviewed-on: https://bazel-review.googlesource.com/#/c/2760/ MOS_MIGRATED_REVID=114325038
{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.