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flutter / third_party / perfetto / 8a495a721fea21d0b1ec1e352583edf46c8bdff6
commit8a495a721fea21d0b1ec1e352583edf46c8bdff6[log] [tgz]
authorCarlos Caballero Grolimund <carlscab@google.com>Mon Sep 05 09:29:09 2022 +0000
committerCarlos Caballero Grolimund <carlscab@google.com>Mon Sep 05 09:29:09 2022 +0000
tree76d7e820a1f55de2a99e1aef3a7cf085a55f3cfa
parented6fa8a3f18fec4081f419b45ab2dbfc2e78a5f1 [diff]
Add aggregation function EXPERIMENTAL_PERF_PROFILE

traceconv currently generates a pprof profile for all samples in a
trace. For some analysis we might be interested in only looking at
certain samples (e.g. those that intersect a given slice). This new
function allows to generate a pprof profile for a given set of samples.

E.g. To get a profile per thread

SELECT tid, EXPERIMENTAL_PERF_PROFILE(callsite_id)
FROM perf_sample
JOIN thread USING (utid)
GROUP BY tid

Change-Id: I0d06098f06baa5e668f42296a0b2c6a435c209ba
9 files changed
tree: 76d7e820a1f55de2a99e1aef3a7cf085a55f3cfa
  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.