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flutter / third_party / perfetto / 03036d049e577922e4974cf17cc32e5c6e8ab5ad
commit03036d049e577922e4974cf17cc32e5c6e8ab5ad[log] [tgz]
authorLalit Maganti <lalitm@google.com>Thu May 23 15:21:22 2024 +0100
committerLalit Maganti <lalitm@google.com>Thu May 23 15:21:22 2024 +0100
tree6bf0710339a1a4836046a3a07d17e86a95fdaa7a
parent03fe17e0be05dd6c60cf6351a696c1864468b982 [diff]
perfetto: add a special event for traces started using clone

This CL adds a special event for traces start using --clone in
perfetto_cmd. Instead of using TraceBegin/BackgroundTraceBegin
we instead have special CloneTrace and CloneTriggerTrace events.

Also for CloneTrigger traces, plumb through the trigger name
from the service back to perfetto_cmd so it can be emitted in the
atom.

Change-Id: I113f5f8e8c008ac621582ad809a174bc80394bee
Bug: 289200715
10 files changed
tree: 6bf0710339a1a4836046a3a07d17e86a95fdaa7a
  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. .clang-format
  20. .clang-tidy
  21. .git-blame-ignore-revs
  22. .gitattributes
  23. .gitignore
  24. .gn
  25. .style.yapf
  26. Android.bp
  27. Android.bp.extras
  28. BUILD
  29. BUILD.extras
  30. BUILD.gn
  31. CHANGELOG
  32. codereview.settings
  33. DIR_METADATA
  34. heapprofd.rc
  35. LICENSE
  36. meson.build
  37. METADATA
  38. MODULE_LICENSE_APACHE2
  39. OWNERS
  40. perfetto.rc
  41. PerfettoIntegrationTests.xml
  42. persistent_cfg.pbtxt
  43. PRESUBMIT.py
  44. README.chromium
  45. README.md
  46. TEST_MAPPING
  47. traced_perf.rc
  48. WATCHLISTS
  49. 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.