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flutter / third_party / perfetto / 267ba23a425536a83847d8c1aab84644af150d1b
commit267ba23a425536a83847d8c1aab84644af150d1b[log] [tgz]
authorChinglin Yu <chinglinyu@google.com>Tue Mar 26 14:34:53 2024 +0800
committerChinglin Yu <chinglinyu@google.com>Thu Apr 11 22:45:10 2024 +0800
tree9c249fc8be5c333ef1f83f9eea90e51834bd8d73
parent50d177ce62bb35c78a97caaf4423c96aa3e3746d [diff]
tp: multi-machine: insert machine ID to storage tables

This CL retrieves machine_id from TraceProcessorContext for storage
table insertion by trackers (ProcessTracker, TrackTracker, etc.).

The ProcessTracker is updated to use the inserted row number as the
utid/upid of the swapper thread, as the assumption that swapper's
utid/upid is 0 will not hold in injesting a multi-machine trace data
file.

Bug: 284258446

Change-Id: I68e0989df9762dd6d2a4807a75b8b51b73e9f85c
27 files changed
tree: 9c249fc8be5c333ef1f83f9eea90e51834bd8d73
  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. persistent_cfg.pbtxt
  42. PRESUBMIT.py
  43. README.chromium
  44. README.md
  45. TEST_MAPPING
  46. traced_perf.rc
  47. WATCHLISTS
  48. 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.