AngersZhuuuu commented on code in PR #53379:
URL: https://github.com/apache/spark/pull/53379#discussion_r2597271165
##########
core/src/main/scala/org/apache/spark/executor/Executor.scala:
##########
@@ -407,10 +407,6 @@ private[spark] class Executor(
TaskState.FAILED,
env.closureSerializer.newInstance().serialize(new
ExceptionFailure(t, Seq.empty)))
} catch {
- case oom: OutOfMemoryError =>
- logError(log"Executor update launching task ${MDC(TASK_NAME,
taskDescription.name)} " +
- log"failed status failed, reason: ${MDC(REASON,
oom.getMessage)}")
- System.exit(SparkExitCode.OOM)
Review Comment:
No, `SparkUncaughtExceptionHandler.uncaughtException()` works after task
running,
it start task failed, won't work.
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