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flutter/third_party/perfetto/refs/heads/dev/parthsane/process_state_config_detection
commit
040c18bf44004ffa3384751f1321c58d5d28b88b
[log]
author
Parth Sane <parthsane@gmail.com>
Wed Sep 09 16:13:39 2026 +0000
committer
Parth Sane <parthsane@gmail.com>
Thu Sep 10 11:43:16 2026 +0000
tree
411e097338b48f1347baac957b4fee427494aa2c
parent
ced94af64d7e4a779acb73b580726ea1e81fc1c8 [diff]
tp: resolve UPIDs for android.process_state and track process sequence ID

Add support for UPID resolution and lifecycle reconciliation in the
android_process_state plugin. When dump_process_metadata is enabled and
ftrace is absent, the Android framework acts as the authoritative
source of truth for process tracking, start timestamps, and PID
recycling. When ftrace is present, trace processor defaults to kernel
authority for process boundaries and lifecycles while using snapshot
metadata to enrich canonical process names, UIDs, and start sequence
IDs.

Snapshots and freezer events are processed chronologically during
trace sorting. When boot time to trace clock conversion is available
at packet arrival, process start timestamps are set immediately.
Also add the android_start_seq_id column to the core process table
and views, and add comprehensive unit tests.

TAG=agy
CONV=1301e335-b579-4d4b-b579-e65db5514022
14 files changed
tree: 411e097338b48f1347baac957b4fee427494aa2c
  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. CLAUDE.md ⇨ docs/AGENTS.md
  21. GEMINI.md ⇨ docs/AGENTS.md
  22. .bazelignore
  23. .bazelrc
  24. .bazelversion
  25. .clang-format
  26. .clang-tidy
  27. .git-blame-ignore-revs
  28. .gitallowed
  29. .gitattributes
  30. .gitignore
  31. .gn
  32. .style.yapf
  33. Android.bp
  34. Android.bp.extras
  35. BUILD
  36. BUILD.extras
  37. BUILD.gn
  38. CHANGELOG
  39. CONTRIBUTORS.txt
  40. DIR_METADATA
  41. heapprofd.rc
  42. LICENSE
  43. meson.build
  44. METADATA
  45. MODULE.bazel
  46. MODULE.bazel.lock
  47. MODULE_LICENSE_APACHE2
  48. OWNERS
  49. OWNERS.github
  50. perfetto.rc
  51. perfetto_flags.aconfig
  52. PerfettoIntegrationTests.xml
  53. persistent_cfg.pbtxt
  54. README.chromium
  55. README.md
  56. TEST_MAPPING
  57. traced_perf.rc
  58. 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.