Bazel client: delete and don't use the server.pid

Upon startup the Bazel client checks if there's
already a running server process and if so then
connects to it.

We achieve this by checking if there's a symlink
in the server directory called served.pid,
pointing to /proc/<server_pid>. If so, we read the
symlink's target and extract the PID; otherwise we
check if there's a file in the server's directory
(server.pid.txt) that contains the PID and read it
from there.

Since the PID file is always there, we don't need
the symlink, plus on Windows we don't support
symlinks anyway, which is the real motivation for
this change.

Just ignoring the PID symlink is not enough, we
need to actively delete it so that switching
between Bazel versions (one that writes a PID
symlink and one that doesn't) won't result in
having a symlink and PID file with different
PIDs and clients trying to kill the wrong server
process / not killing one that they should.

See https://github.com/bazelbuild/bazel/issues/2107

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MOS_MIGRATED_REVID=140117287
4 files changed
tree: 7f5e4025456b7e1b45f1de77f4efcfb8ed3388c2
  1. examples/
  2. scripts/
  3. site/
  4. src/
  5. third_party/
  6. tools/
  7. .gitattributes
  8. .gitignore
  9. AUTHORS
  10. BUILD
  11. CHANGELOG.md
  12. combine_distfiles.sh
  13. compile.sh
  14. CONTRIBUTING.md
  15. CONTRIBUTORS
  16. ISSUE_TEMPLATE.md
  17. LICENSE.txt
  18. README.md
  19. WORKSPACE
README.md

Bazel (Beta)

{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.

Getting Started

About the Bazel project:

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