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flutter / third_party / perfetto / 3da925d82d0cc73c27699e14d0726a60e652576e
commit3da925d82d0cc73c27699e14d0726a60e652576e[log] [tgz]
authorIgor Kraskevich <kraskevich@google.com>Mon Aug 22 12:02:30 2022 +0000
committerIgor Kraskevich <kraskevich@google.com>Mon Aug 22 12:02:30 2022 +0000
treefab11a355a5cc9a4ba9d010ea6c83c708e96f7d8
parentb67499fd17b1968b5db52e13b4d616d1ea2be4a2 [diff]
Export trace proto content to SQL table


The feature is controlled by a new analyze_trace_proto_content Trace Processor Config field, and is disabled by default.

The new SQL table is experimental_proto_content (with the format being subject to arbitrary breaking changes for now), and it's effectively a mapping proto field path -> total size.

Once Perfetto UI supports arbitrary flamegraphs (b/227644078), we can change the SQL table format to make it flamegraph compatible.

Bug: b/238062136
Change-Id: I7e2b6921aba9e660f4c820de0047af7e00b5e9ee
19 files changed
tree: fab11a355a5cc9a4ba9d010ea6c83c708e96f7d8
  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. tools/
  16. ui/
  17. .clang-format
  18. .clang-tidy
  19. .gitattributes
  20. .gitignore
  21. .gn
  22. .style.yapf
  23. Android.bp
  24. Android.bp.extras
  25. BUILD
  26. BUILD.extras
  27. BUILD.gn
  28. CHANGELOG
  29. codereview.settings
  30. DIR_METADATA
  31. heapprofd.rc
  32. LICENSE
  33. meson.build
  34. METADATA
  35. MODULE_LICENSE_APACHE2
  36. OWNERS
  37. perfetto.rc
  38. PerfettoIntegrationTests.xml
  39. PRESUBMIT.py
  40. README.chromium
  41. README.md
  42. TEST_MAPPING
  43. traced_perf.rc
  44. 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.