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android / platform / external / perfetto / d6367f7215
commitd6367f7215828d970e42075046e0e4ba338abd97[log] [tgz]
authorNicolo' Mazzucato <nicomazz@google.com>Thu May 16 15:38:51 2024 +0000
committerNicolò Mazzucato <nicomazz@google.com>Thu May 16 15:43:40 2024 +0000
treedf520ae7764a5c5653d11b61db390b143ab23f0f
parent0e84f702c09c231caf1e7f6c38d9a4e6fb42b53b [diff]
Create TimelineSync plugin

This plugin allows to syncronize the timeline of several open windows. Even if there are multiple different traces, the initial viewport (when the command is enabled) is considered the starting point, and any movement/zoom operation is applied to each window.

This is useful to compare a good and bad trace side to side.

Bug: 337016334
Bug: 338585751
Test: Run plugin with 2 windows opened
Change-Id: Ie16479cf475b9997f7f940186987f33268a47603
3 files changed
tree: df520ae7764a5c5653d11b61db390b143ab23f0f
  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.