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fuchsia/third_party/github.com/google/perfetto/refs/heads/upstream/dev/zezeozue/stitched-stack-samples
commit
da44613504fbe99ec2570c6d75e306b08077a155
[log]
author
Zimuzo Ezeozue <zezeozue@google.com>
Fri Oct 16 09:55:38 2026 +0000
committer
Zimuzo Ezeozue <zezeozue@google.com>
Fri Oct 16 23:45:11 2026 +0000
tree
3fb4d6a0a330cecef983f83cb67169789ba42e5a
parent
d15efa7ea4cda3b2b5be1bfb3ae101a562411532 [diff] 
ui: add CPU samples measure to the Stitched Flamegraph

Grafts the CPU samples taken in the stitched slices below them as
callstacks: downstream, the code which ran on behalf of the selection on
every thread it reached; upstream, the code of the selected slices with
what led to them below. Samples of the selected threads outside any
slice hang below an "(outside any slice)" node of their thread.
Callstack frames drill down to the slices they were sampled in.

The samples are attributed with interval intersection, and the frames
come from stdlib's callstack forest via the callsite ancestors, so
symbolization and inlined frames match the Callstack Flamegraph. The
flows steps are shared with the duration and count measures.
3 files changed
tree: 3fb4d6a0a330cecef983f83cb67169789ba42e5a
  1. .github/
  2. ai/
  3. bazel/
  4. build_overrides/
  5. buildtools/
  6. contrib/
  7. docs/
  8. examples/
  9. gn/
  10. include/
  11. infra/
  12. protos/
  13. python/
  14. sdk/
  15. src/
  16. test/
  17. third_party/
  18. tools/
  19. ui/
  20. AGENTS.md ⇨ docs/AGENTS.md
  21. .bazelignore
  22. .bazelrc
  23. .bazelversion
  24. .clang-format
  25. .clang-tidy
  26. .git-blame-ignore-revs
  27. .gitallowed
  28. .gitattributes
  29. .gitignore
  30. .gn
  31. .style.yapf
  32. Android.bp
  33. Android.bp.extras
  34. BUILD
  35. BUILD.extras
  36. BUILD.gn
  37. CHANGELOG
  38. CONTRIBUTORS.txt
  39. DIR_METADATA
  40. heapprofd.rc
  41. LICENSE
  42. meson.build
  43. METADATA
  44. MODULE.bazel
  45. MODULE.bazel.lock
  46. MODULE_LICENSE_APACHE2
  47. OWNERS
  48. OWNERS.github
  49. perfetto.rc
  50. perfetto_flags.aconfig
  51. PerfettoIntegrationTests.xml
  52. persistent_cfg.pbtxt
  53. README.chromium
  54. README.md
  55. TEST_MAPPING
  56. traced_perf.rc
  57. WORKSPACE
README.md

Perfetto - System profiling, app tracing and trace analysis

Perfetto is an open-source suite of SDKs, daemons and tools which use tracing to help developers understand the behaviour of complex systems and root-cause functional and performance issues on client and embedded systems.

It is a production-grade tool that is the default tracing system for the Android operating system and the Chromium browser.

Core Components

Perfetto is not a single tool, but a collection of components that work together:

  • High-performance tracing daemons: For capturing tracing information from many processes on a single machine into a unified trace file.
  • Low-overhead tracing SDK: A C++17 library for direct userspace-to-userspace tracing of timings and state changes in your application.
  • Extensive OS-level probes: For capturing system-wide context on Android and Linux (e.g. scheduling states, CPU frequencies, memory profiling, callstack sampling).
  • Browser-based UI: A powerful, fully local UI for visualizing and exploring large, multi-GB traces on a timeline. It works in all major browsers, requires no installation, and can open traces from other tools.
  • SQL-based analysis library: A powerful engine that allows you to programmatically query traces using SQL to automate analysis and extract custom metrics.

Why Use Perfetto?

Perfetto was designed to be a versatile and powerful tracing system for a wide range of use cases.

  • For Android App & Platform Developers: Debug and root-cause functional and performance issues like slow startups, dropped frames (jank), animation glitches, low memory kills, and ANRs. Profile both Java/Kotlin and native C++ memory usage with heap dumps and profiles.
  • For C/C++ Developers (Linux, macOS, Windows): Use the Tracing SDK to instrument your application with custom trace points to understand its execution flow, find performance bottlenecks, and debug complex behavior. On Linux, you can also perform detailed CPU and native heap profiling.
  • For Linux Kernel & System Developers: Get deep insights into kernel behavior. Perfetto acts as an efficient userspace daemon for ftrace, allowing you to visualize scheduling, syscalls, interrupts, and custom kernel tracepoints on a timeline.
  • For Chromium Developers: Perfetto is the tracing backend for chrome://tracing. Use it to debug and root-cause issues in the browser, V8, and Blink.
  • For Performance Engineers & SREs: Analyze and visualize a wide range of profiling and tracing formats, not just Perfetto's. Use the powerful SQL interface to programmatically analyze traces from tools like Linux perf, macOS Instruments, Chrome JSON traces, and more.

Getting Started

We‘ve designed our documentation to guide you to the right information as quickly as possible, whether you’re a newcomer to performance analysis or an experienced developer.

  1. New to tracing? If you're unfamiliar with concepts like tracing and profiling, start here:

  2. Ready to dive in? Our “Getting Started” guide is the main entry point for all users. It will help you find the right tutorials and documentation for your specific needs:

  3. Want the full overview? For a comprehensive look at what Perfetto is, why it's useful, and who uses it, see our main documentation page:

Debian Distribution

For users interested in the Debian distribution of Perfetto, the official source of truth and packaging efforts are maintained at Debian Perfetto Salsa Repository

Community & Support

Have questions? Need help?

We follow Google's Open Source Community Guidelines.