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flutter / third_party / perfetto / 0771a8d6fc31d931491cfe9f71d6a1ef91b88268
commit0771a8d6fc31d931491cfe9f71d6a1ef91b88268[log] [tgz]
authorMark Fasheh <mfasheh@google.com>Thu Sep 14 19:21:15 2023 +0000
committerMark Fasheh <mfasheh@google.com>Mon Oct 09 18:34:20 2023 +0000
tree394b81bf31ab63c33ccad315162ce1140a06ad42
parent3306717b72d2d1dfd8f1958a9dcc735c3dd65c27 [diff]
Add android_boot metric

For now his computes the total time certain processes spend in
uinterruptible sleep as well as the total duration of all scheduling
slices owned by the given process.  Right now we only care about
uninterruptible sleep, but the proto is designed so that we can easily
append more fields for different scheduling states.  We pick the name
'android_boot' to make it clear that this proto can be used for future
boot related metrics.

Test: <trace_processor_shell> --run-metrics android_boot <trace>
Test: tools/diff_test_trace_processor.py <trace_processor_shell> --name-filter='.*android_boot*'
Bug: 300681738

Change-Id: I5ded2c78cdaab32cbca94bd1b9c1ef9149a32ea5
11 files changed
tree: 394b81bf31ab63c33ccad315162ce1140a06ad42
  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. .clang-format
  19. .clang-tidy
  20. .git-blame-ignore-revs
  21. .gitattributes
  22. .gitignore
  23. .gn
  24. .style.yapf
  25. Android.bp
  26. Android.bp.extras
  27. BUILD
  28. BUILD.extras
  29. BUILD.gn
  30. CHANGELOG
  31. codereview.settings
  32. DIR_METADATA
  33. heapprofd.rc
  34. LICENSE
  35. meson.build
  36. METADATA
  37. MODULE_LICENSE_APACHE2
  38. OWNERS
  39. perfetto.rc
  40. PerfettoIntegrationTests.xml
  41. PRESUBMIT.py
  42. README.chromium
  43. README.md
  44. TEST_MAPPING
  45. traced_perf.rc
  46. 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.