Avoid too large stack frames when using pbzero decoders

Before this CL TypedProtoDecoder ensured that the on-stack
storage is enough to cover the highest field id parsable by
protozero decoders. That lead to large stack frames of
1000 * 16 = 16KB per decoder, which in turn caused problems
in various internal usages (b/203389087, b/194510398).

This CL adds a little bit of extra complexity, allowing the
on-stack storage to be < than the highest known field id,
allowing to reduce the stack size by 10x, still reaping the
benefits of direct-on-stack decoding for most of the trace
protos.

Bug: 203389087

Test: manual:
  $ parallel -j10 -N0 time trace_processor_shell-before -q /dev/null mpts_trace ::: {1..10}
  $ parallel -j10 -N0 time trace_processor_shell-after -q /dev/null mpts_trace ::: {1..10}
  On a 266MB MPTS trace:
  Average: before: 14.6191, after: 14.6866
  Median:  before: 14.6385,  after: 14.5365

Change-Id: I8a51e11f1a1deb31df4bb02412d7fa0efb7277af
2 files changed
tree: f72067a845cdbdda1340606c64d6e99e9a53e84c
  1. .github/
  2. bazel/
  3. build_overrides/
  4. buildtools/
  5. debian/
  6. docs/
  7. examples/
  8. gn/
  9. include/
  10. infra/
  11. protos/
  12. src/
  13. test/
  14. tools/
  15. ui/
  16. .clang-format
  17. .clang-tidy
  18. .gitattributes
  19. .gitignore
  20. .gn
  21. .style.yapf
  22. Android.bp
  23. Android.bp.extras
  24. BUILD
  25. BUILD.extras
  26. BUILD.gn
  27. CHANGELOG
  28. codereview.settings
  29. DIR_METADATA
  30. heapprofd.rc
  31. LICENSE
  32. meson.build
  33. METADATA
  34. MODULE_LICENSE_APACHE2
  35. OWNERS
  36. perfetto.rc
  37. PerfettoIntegrationTests.xml
  38. PRESUBMIT.py
  39. README.chromium
  40. README.md
  41. TEST_MAPPING
  42. traced_perf.rc
  43. 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.