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flutter / third_party / perfetto / 1eae2b1826d48b2a286e371d15fb51ede1c6eae8
commit1eae2b1826d48b2a286e371d15fb51ede1c6eae8[log] [tgz]
authorLalit Maganti <lalitm@google.com>Fri Apr 26 15:33:19 2024 +0100
committerLalit Maganti <lalitm@google.com>Fri Apr 26 15:33:19 2024 +0100
treeb5c285a52ce750b0f971a4fd14d4df94d93163aa
parent6e0ff97cfca7698faf1b029b1cf2082540087516 [diff]
ui: utilise segment forest to improve slice tracks on large traces

This CL introduces the use of the segment forest to significantly speed
up the queries of slice tracks on large traces. Specifically the data
structure is exposed to Typescript via the use of a new "SliceMipmap"
trace processor operator.

This CL only ports base_slice_track to the operator: other tracks will
be ported in followup CLs.

Change-Id: Icf5d5a620b01dece7b102f9bdae181db0ee145fc
13 files changed
tree: b5c285a52ce750b0f971a4fd14d4df94d93163aa
  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.