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flutter / third_party / perfetto / 79350c98f2cee15490cfc8afb1ac35e640f29396
commit79350c98f2cee15490cfc8afb1ac35e640f29396[log] [tgz]
authorRyan Savitski <rsavitski@google.com>Tue Jul 26 14:40:12 2022 +0100
committerRyan Savitski <rsavitski@google.com>Tue Jul 26 14:40:12 2022 +0100
treec190c0b309eb87f5ae711ddd221823a1826684c9
parent7d7687ea9f023fc81d69f079e3adbcc7fb3a14d2 [diff]
proto: perf: process sharding config and packet defaults

This option directs the callstack sampling to choose only a subset of
seen processes for unwinding, but without explicitly enumerating the
subset like we'd do with target_pid or target_cmdline. The intent is to
lessen the overheads of systemwide callstack sampling.

The allow/deny choice for a process is "pid % process_shard_count == X",
where process_shard_count is set by the config, and X is chosen at
random for the duration of a trace.

Doc: go/tperf-sharding
Bug: 223773242
Change-Id: Idbadf707bbab8b4aec0c5c4d22d352ee471642ad
4 files changed
tree: c190c0b309eb87f5ae711ddd221823a1826684c9
  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.