profiler cmdline matching: add parallel implementation that supports globs

There's a demand for more flexible matching when perfetto profilers
select target processes via /proc/pid/cmdline. We've decided that it
makes sense to change the semantics of the existing config fields
instead of adding new ones, as the vast majority of existing configs
won't be affected. This patch introduces the new glob-aware cmdline
matching logic that we'll be migrating to, starting with traced_perf and
perfetto_hprof. Extra context at go/perfetto-profiler-globs.

"normalize.h" is folded into proc_utils since its purpose is outdated.
The logic exists only within perfetto and bionic/malloc_heapprofd,
and the header is referenced only from within perfetto.

I've overdocumented the implementation because while string parsing
often looks innocent, it is at the same time often subtle.

Bug: 201273553
Change-Id: I840bfd2201ab238bc7b16a75de3b037a17556169
12 files changed
tree: 63e60daa59ce2616f3362cd4d7b3b901c26abf30
  1. .github/
  2. bazel/
  3. build_overrides/
  4. buildtools/
  5. debian/
  6. docs/
  7. examples/
  8. gn/
  9. include/
  10. infra/
  11. protos/
  12. python/
  13. src/
  14. test/
  15. tools/
  16. ui/
  17. .clang-format
  18. .clang-tidy
  19. .gitattributes
  20. .gitignore
  21. .gn
  22. .style.yapf
  23. Android.bp
  24. Android.bp.extras
  25. BUILD
  26. BUILD.extras
  27. BUILD.gn
  28. CHANGELOG
  29. codereview.settings
  30. DIR_METADATA
  31. heapprofd.rc
  32. LICENSE
  33. meson.build
  34. METADATA
  35. MODULE_LICENSE_APACHE2
  36. OWNERS
  37. perfetto.rc
  38. PerfettoIntegrationTests.xml
  39. PRESUBMIT.py
  40. README.chromium
  41. README.md
  42. TEST_MAPPING
  43. traced_perf.rc
  44. WORKSPACE
README.md

Perfetto - System profiling, app tracing and trace analysis

Perfetto is a production-grade open-source stack for performance instrumentation and trace analysis. It offers services and libraries and for recording system-level and app-level traces, native + java heap profiling, a library for analyzing traces using SQL and a web-based UI to visualize and explore multi-GB traces.

See https://perfetto.dev/docs or the /docs/ directory for documentation.