Ngone51 commented on code in PR #52792:
URL: https://github.com/apache/spark/pull/52792#discussion_r2508537763
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core/src/main/scala/org/apache/spark/executor/Executor.scala:
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@@ -380,7 +380,17 @@ private[spark] class Executor(
tr.kill(killMark._1, killMark._2)
killMarks.remove(taskId)
}
- threadPool.execute(tr)
+ try {
+ threadPool.execute(tr)
+ } catch {
+ case e: Throwable =>
Review Comment:
Or we can mimic
[SparkUncaughtExceptionHandler](https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/util/SparkUncaughtExceptionHandler.scala#L70-L94).
In the case of `OutOfMemoryError`, we can try to sent the status update
firstly. If `OutOfMemoryError` is thrown again, we fail the executor.
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