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flutter / third_party / perfetto / 2c63e6fe350cddb92edebe08fc1719ab49895895
commit2c63e6fe350cddb92edebe08fc1719ab49895895[log] [tgz]
authorZimuzo Ezeozue <zezeozue@google.com>Wed Aug 07 16:35:19 2024 +0100
committerZimuzo Ezeozue <zezeozue@google.com>Thu Aug 08 12:20:55 2024 +0100
tree04e779215b199e40ec7f9007ebb2c51d45a439bf
parentf3b111a3d16ff020092bb55d90a494b72eb7f7c7 [diff]
[metrics]: Add logical binder breakdowns to binder metrics

In a follow-up after verifying this successfully in the field. We can
remove the following fields:
1. thread_state_breakdowns: logical_breakdowns is a more useful breakdown
2. process_breakdown: This is not very useful and can be replaced by the more
powerful and general android_anomaly metric.

Test: tools/diff_test_trace_processor.py out/android/trace_processor_shell --name-filter '.*AndroidMetrics:binder_metric.*'
Change-Id: Ib57b0fe22ad33859c148e104d51b9e888e738f65
5 files changed
tree: 04e779215b199e40ec7f9007ebb2c51d45a439bf
  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.