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pigweed/third_party/android/platform/external/perfetto/335c843e32af9524d1653b4f42ae33a456cc3b74
commit
335c843e32af9524d1653b4f42ae33a456cc3b74
[log]
author
Lalit Maganti <lalitm@google.com>
Wed Sep 11 23:12:05 2024 +0100
committer
Lalit Maganti <lalitm@google.com>
Wed Sep 11 22:21:20 2024 +0000
tree
2c6f3061ff29f38c9a829ccd8fd00751094435bb
parent
76c9a3333b19b28f567ed19a22d2ae04e9663803 [diff]
tp: remove flaky check for column type in span join

Depending on SQLite version this check can be too sensitive or totally
useless or anywhere between. Since SPAN_JOIN usage should wind down over
the years and this check is blocking rolls of SQLite into Google3, just
remove it.

Context: cl/672677840 where SQLite upgrade is failing because of failure here.

Change-Id: Iee03858a42823b1396cd97ca767e3fde0d66addf
1 file changed
tree: 2c6f3061ff29f38c9a829ccd8fd00751094435bb
  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. third_party/
  16. tools/
  17. ui/
  18. .bazelignore
  19. .bazelrc
  20. .clang-format
  21. .clang-tidy
  22. .git-blame-ignore-revs
  23. .gitattributes
  24. .gitignore
  25. .gn
  26. .style.yapf
  27. Android.bp
  28. Android.bp.extras
  29. BUILD
  30. BUILD.extras
  31. BUILD.gn
  32. CHANGELOG
  33. codereview.settings
  34. DIR_METADATA
  35. heapprofd.rc
  36. LICENSE
  37. meson.build
  38. METADATA
  39. MODULE_LICENSE_APACHE2
  40. OWNERS
  41. perfetto.rc
  42. PerfettoIntegrationTests.xml
  43. persistent_cfg.pbtxt
  44. PRESUBMIT.py
  45. README.chromium
  46. README.md
  47. TEST_MAPPING
  48. traced_perf.rc
  49. WATCHLISTS
  50. 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.