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https://issues.apache.org/jira/browse/SPARK-57959?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun updated SPARK-57959:
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Fix Version/s: 4.2.0
(was: 4.2.1)
> Deflake MetricsFailureInjectionSuite non-deterministic stage block failure
> injection test
> -----------------------------------------------------------------------------------------
>
> Key: SPARK-57959
> URL: https://issues.apache.org/jira/browse/SPARK-57959
> Project: Spark
> Issue Type: Test
> Components: SQL
> Affects Versions: 5.0.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.2.0, 4.3.0
>
>
> MetricsFailureInjectionSuite 'Non-deterministic stage block failure injection
> - injectFailure=true' is flaky (~1/6 in the full suite; passes 10/10 in
> isolation). Evidence from macOS diagnostics: the failing run shows stage1=300
> stage2=5 (a clean run, no recompute) and completes in ~370ms vs ~860ms on a
> passing run, and the test's own shuffle receives no injected FetchFailed. The
> INJECT_SHUFFLE_FETCH_FAILURES machinery corrupts mapper-0 of the shuffle map
> stage, but whether the downstream reducer observes the FetchFailed (forcing
> the stage-1 recompute that inflates the raw metric) depends on task
> scheduling in the shared SparkContext, and it occasionally does not fire. Fix
> (test-only): re-run the query, resetting metrics each attempt, until the
> injection forces a recompute (stage1 > 300), up to 10 attempts, then run the
> original assertions. Does not touch the shared DAGScheduler injection
> machinery used by other suites. Validated 8x full-suite green on macos-15.
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