| commit | 3207f936c7f56749b5f6635b5fc7a2a99af9c963 | [log] [tgz] |
|---|---|---|
| author | Janak Ramakrishnan <janakr@google.com> | Wed Nov 16 23:16:53 2016 +0000 |
| committer | Kristina Chodorow <kchodorow@google.com> | Thu Nov 17 18:18:20 2016 +0000 |
| tree | c401b4349d97989e17f34b41c714ae97eb5ec6af | |
| parent | f16f7c59ecfeaf6bd7e667945cfdc5e44637c5bf [diff] |
Cache all previously computed values in SkyQueryEnvironment#beforeEvaluateQuery if possible to save on latency for small queries. This assumes that if the graph is up to date, then the data in SkyQueryEnvironment is also up to date. It also assumes that a ForkJoinPool remains usable until #shutdownNow is called. -- MOS_MIGRATED_REVID=139386363
{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.