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flutter/third_party/perfetto/refs/heads/dev/gignat/android_binder_viz_make_faster
commit
3f4f45d94f25abbd756fe431ff0c73008cb79fd6
[log]
author
gignat <gignat@google.com>
Thu May 28 10:32:04 2026 +0000
committer
gignat <gignat@google.com>
Thu May 28 11:32:26 2026 +0000
tree
843674987ea4a1ee908d6460fd667e7a72d02ba6
parent
9b50320fedf1b2e7aca3fcb62420cf1700dccb72 [diff]
ui: optimize BreakdownTracks and AndroidBinderViz performance

  Significantly reduce the time it takes to load traces with large breakdown
  track hierarchies (like Android Binder) through three optimizations:

   1. Projected Path for BreakdownTracks: Instead of running the expensive
     intervals_overlap_count macro O(N) times (once per track node), pre-
     calculate all intersections upfront into a shared temporary table.
     Individual tracks now just run a cheap filter/aggregation against this
     table. This is enabled for standard count-based breakdown tracks without
     pivots or complex joins.
   2. Batch SQL Table Creation: On the legacy path, CREATE PERFETTO TABLE
     statements for counter tracks are now accumulated during the hierarchy
     walk and flushed to the engine in a single batched query, reducing IPC
     overhead.
   3. Parallelize Binder Tracks: The AndroidBinderViz plugin now uses
     Promise.all to kick off the generation of both server and client track
     hierarchies concurrently rather than sequentially.
2 files changed
tree: 843674987ea4a1ee908d6460fd667e7a72d02ba6
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  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
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  37. BUILD.gn
  38. CHANGELOG
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  40. DIR_METADATA
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  45. MODULE.bazel
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  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.