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flutter / third_party / perfetto / 0203514227cc970ad74249b2fab5d1751023ad0f
commit0203514227cc970ad74249b2fab5d1751023ad0f[log] [tgz]
authorNikita Ioffe <ioffe@google.com>Thu Mar 02 16:57:35 2023 +0000
committerNikita Ioffe <ioffe@google.com>Thu Mar 02 16:57:35 2023 +0000
tree05f35c05a92a08d88fa62f7bea9cbffab8bbd9e5
parent4bda78645d1d23a98473b793bc532a3ebff6c7f9 [diff]
Add hyp_enter and hyp_exit hypervisor events and show them in UI

Hypervisor events are similar to the ftrace evetns, however they don't
have a pid. In order to work around this issue, ftrace_parser uses the
pid 0 when processing hypervisor events.

Support for showing them in the UI is quite basic so far.
Once trace_processors sees a hyp_enter event it will start a slice on
the corresponding pKVM Hypervisor CPU track. Once it sees hyp_exit
event, it will end the slice.

Bug: 249050813
Test: ui/run-dev-server
Change-Id: Ic6393bb5e11c004e0c5d0486bbe11925a4f198d0
15 files changed
tree: 05f35c05a92a08d88fa62f7bea9cbffab8bbd9e5
  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. .git-blame-ignore-revs
  20. .gitattributes
  21. .gitignore
  22. .gn
  23. .style.yapf
  24. Android.bp
  25. Android.bp.extras
  26. BUILD
  27. BUILD.extras
  28. BUILD.gn
  29. CHANGELOG
  30. codereview.settings
  31. DIR_METADATA
  32. heapprofd.rc
  33. LICENSE
  34. meson.build
  35. METADATA
  36. MODULE_LICENSE_APACHE2
  37. OWNERS
  38. perfetto.rc
  39. PerfettoIntegrationTests.xml
  40. PRESUBMIT.py
  41. README.chromium
  42. README.md
  43. TEST_MAPPING
  44. traced_perf.rc
  45. 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.