| commit | 89312fbebfdab4c4ab977063782237cd8369a8c7 | [log] [tgz] |
|---|---|---|
| author | Francois-Rene Rideau <tunes@google.com> | Thu Sep 10 18:53:03 2015 +0000 |
| committer | Damien Martin-Guillerez <dmarting@google.com> | Fri Sep 11 09:45:33 2015 +0000 |
| tree | 7a238467e05767608d9d7a122f65a10011092e71 | |
| parent | 5831c6957d29e8fda0383bfe337533444c5155c8 [diff] |
Refactor Skylark Environment-s Make Environment-s freezable: Introduce a class Mutability as a revokable capability to mutate objects in an Environment. For now, only Environment-s carry this capability. Make sure that every Mutability is revoked in the same function that create... This reinstates a change that previously rolled-back because it broke the serializability of SkylarkLookupValue. Bad news: serializing it succeeds for the wrong reason, because a SkylarkEnvironment was stored as a result (now an Environment.Extension) that was Serializable but inherited its bindings from an Environment (now an Environment.BaseExtension) which wasn't Serializable. Apparently, Java doesn't try to serialize the bindings then (or at least doesn't error out when it fails), because these bindings map variable names to pretty arbitrary objects, and a lot of those we find in practice aren't Serializable. Thus the current code passes the same tests as the previous code, but obviously the serialization is just as ineffective as it used to be. -- MOS_MIGRATED_REVID=102776694
{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.