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pigweed/third_party/android/platform/external/perfetto/129bdcfca84e2c9624fcce58683afdf42bb73e7f
commit
129bdcfca84e2c9624fcce58683afdf42bb73e7f
[log]
author
Alexander Timin <altimin@google.com>
Fri Apr 16 11:36:37 2021 +0000
committer
Alexander Timin <altimin@google.com>
Fri Apr 16 11:36:37 2021 +0000
tree
b0b537845492a3129a35f1e8eeaf5c776615578f
parent
0ceebc58c923d5cd6c86a8dcb945cfc88eae0598 [diff]
Inline typed message writing support.

Allow nested typed messages to be written in a way similar to untyped
ones without using lambda:

TRACE_EVENT("c", "E", TrackEvent::kFieldName, value);

Similar to TracedValue / untyped messages, Perfetto then will either
write the value directly (if the field is a primitive one like int or
string) or call value->WriteIntoTrace(TracedProto<T>) to invoke
custom serialisation.

R=eseckler@google.com,primiano@google.com,skyostil@google.com

Bug: b/184558843
Change-Id: Idc5277a998d869619ce6530540662bbe7a80c806
16 files changed
tree: b0b537845492a3129a35f1e8eeaf5c776615578f
  1. .github/
  2. bazel/
  3. build_overrides/
  4. buildtools/
  5. debian/
  6. docs/
  7. examples/
  8. gn/
  9. include/
  10. infra/
  11. protos/
  12. src/
  13. test/
  14. tools/
  15. ui/
  16. .clang-format
  17. .clang-tidy
  18. .gitattributes
  19. .gitignore
  20. .gn
  21. .style.yapf
  22. Android.bp
  23. Android.bp.extras
  24. BUILD
  25. BUILD.extras
  26. BUILD.gn
  27. CHANGELOG
  28. codereview.settings
  29. DIR_METADATA
  30. heapprofd.rc
  31. LICENSE
  32. meson.build
  33. METADATA
  34. MODULE_LICENSE_APACHE2
  35. OWNERS
  36. perfetto.rc
  37. PerfettoIntegrationTests.xml
  38. PRESUBMIT.py
  39. README.chromium
  40. README.md
  41. TEST_MAPPING
  42. traced_perf.rc
  43. 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.