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flutter / third_party / perfetto / 50d5c555ec41cfdf53f69776a87fc86d4e6d518e
commit50d5c555ec41cfdf53f69776a87fc86d4e6d518e[log] [tgz]
authorSamuel Wu <wusamuel@google.com>Thu Jul 11 17:27:39 2024 -0700
committerSamuel Wu <wusamuel@google.com>Wed Jul 24 16:22:26 2024 -0700
tree25199c4ffde0b429e87bad2abfe6e1033764deff
parent2961ee996e95d62f7af72ab17a62e52c75cf1419 [diff]
metrics: Move Wattson metric to stdlib for reusability

Move Wattson power estimate metric to Perfetto stdlib so that the code
can be re-used.

There are many use-cases for getting estimates from a trace, and the
only difference is the particular time window of interest. Leave the
time window calculation to be metric SQL file specific, but move the
generic estimation and hierarchy breakdown to stdlib.

Test: tools/diff_test_trace_processor.py out/linux/trace_processor_shell --name-filter '.*wattson.*'
Bug: 352627297
Change-Id: I2d974faa4b65d5b3c28fc6706805a3019ec76ff0
Signed-off-by: Samuel Wu <wusamuel@google.com>
6 files changed
tree: 25199c4ffde0b429e87bad2abfe6e1033764deff
  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. .bazelignore
  19. .bazelrc
  20. .clang-format
  21. .clang-tidy
  22. .git-blame-ignore-revs
  23. .gitattributes
  24. .gitignore
  25. .gn
  26. .style.yapf
  27. Android.bp
  28. Android.bp.extras
  29. BUILD
  30. BUILD.extras
  31. BUILD.gn
  32. CHANGELOG
  33. codereview.settings
  34. DIR_METADATA
  35. heapprofd.rc
  36. LICENSE
  37. meson.build
  38. METADATA
  39. MODULE_LICENSE_APACHE2
  40. OWNERS
  41. perfetto.rc
  42. PerfettoIntegrationTests.xml
  43. persistent_cfg.pbtxt
  44. PRESUBMIT.py
  45. README.chromium
  46. README.md
  47. TEST_MAPPING
  48. traced_perf.rc
  49. WATCHLISTS
  50. 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.