"bazel clean": prevent creation of command.log

Open files cannot be deleted on Windows, thus
`bazel clean --expunge` fails when it attemps to
delete the `command.log` that stdout/stderr is
tee'd into, and so does BlazeCommandDispatcher
when it attemps to delete the `command.log` just
before dispatching to the command implementation
(not just `clean` but any command).

This change:
- closes `command.log` before we attempt to
  delete it
- marks CleanCommand (through the Command
  annotation) as one that should not write to the
  command.log, thus we don't create a new instance
  of the file

This change allows `bazel clean --expunge` to
delete everything in the output base, with the
exception of `jvm.log`. Unfortunately that file is
opened by the C++ bazel client process, so we have
to close it there prior to sending the clean to
the bazel server.

See https://github.com/bazelbuild/bazel/issues/1586

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  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. LICENSE.txt
  17. README.md
  18. 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: