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pigweed/third_party/android/platform/external/perfetto/74ba5f7342eed532a1599935c587c99caaea0304
commit
74ba5f7342eed532a1599935c587c99caaea0304
[log]
author
Zimuzo Ezeozue <zezeozue@google.com>
Sat Dec 07 23:16:05 2024 +0000
committer
Zimuzo Ezeozue <zezeozue@google.com>
Sun Dec 08 11:04:11 2024 +0000
tree
e2a67db9c738ebf830624eab136ce37e9d27f755
parent
d3990a1c9d27761d8de4290aeadb879a60ecbc90 [diff]
Add utid to atrace counter events

The utid already exists but was discarded since the UI typically
rendered this as per-process tracks. There are cases where it's
important to know the thread emitting these.

Added the utid to each row as an arg_set_id 'utid' key.

Test: tools/diff_test_trace_processor.py out/android/trace_processor_shell --name-filter '.*counter.*arg_set_id'
Change-Id: I4f764c73ec4a78a6b19e04d6d3314b5e7addb906
2 files changed
tree: e2a67db9c738ebf830624eab136ce37e9d27f755
  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. third_party/
  16. tools/
  17. ui/
  18. .bazelignore
  19. .bazelrc
  20. .clang-format
  21. .clang-tidy
  22. .git-blame-ignore-revs
  23. .gitattributes
  24. .gitignore
  25. .gn
  26. .style.yapf
  27. Android.bp
  28. Android.bp.extras
  29. BUILD
  30. BUILD.extras
  31. BUILD.gn
  32. CHANGELOG
  33. codereview.settings
  34. DIR_METADATA
  35. heapprofd.rc
  36. LICENSE
  37. meson.build
  38. METADATA
  39. MODULE_LICENSE_APACHE2
  40. OWNERS
  41. perfetto.rc
  42. PerfettoIntegrationTests.xml
  43. persistent_cfg.pbtxt
  44. PRESUBMIT.py
  45. README.chromium
  46. README.md
  47. TEST_MAPPING
  48. traced_perf.rc
  49. WATCHLISTS
  50. 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.