| commit | d12fb7a4864ab0a192c3d47c3443824eccbb4c74 | [log] [tgz] |
|---|---|---|
| author | Laszlo Csomor <laszlocsomor@google.com> | Wed Apr 26 13:41:56 2017 +0200 |
| committer | Vladimir Moskva <vladmos@google.com> | Wed Apr 26 18:04:29 2017 +0200 |
| tree | 501bccd7995a65a035b8430ba3c5d2f1d2f8bfa2 | |
| parent | a5f82e5e249aa8bcc356928db9118371fe22dccf [diff] |
Bazel client, Windows: impl. server->IsStillAlive Implement proper aliveness check for the Bazel server. This allows detecting a server death that occurs after the Java process started but before it started the gRPC server. On other platforms we open an anonymous pipe, let the server inherit the writing end, close the writing end in the client, and attempt to read non-blockingly in order to check if the server is still alive. This approach fails on Windows because anonymous pipes are always blocking. Named pipes support asynchronous access but it's much simpler to just check if the process exited. GetProcessTimes looks like a reliable way to do so, and that's what we use on Windows now. Fixes https://github.com/bazelbuild/bazel/issues/2817 Change-Id: Ic24577d8440eb0c8188c852e2501ce1e254ba9fd PiperOrigin-RevId: 154283585
{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.