Ngone51 commented on code in PR #52792:
URL: https://github.com/apache/spark/pull/52792#discussion_r2508569091
##########
core/src/main/scala/org/apache/spark/executor/Executor.scala:
##########
@@ -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:
You could do:
```scala
try {
threadPool.execute(tr)
} catch {
case t: Throawble =>
try {
log.error(s"Execute task ${taskDescription.taskId} failed", e.getCause)
context.statusUpdate(
taskDescription.taskId,
TaskState.FAILED,
env.closureSerializer.newInstance().serialize(
new ExceptionFailure(e, Seq.empty)))
} catch {
case oom: OutOfMemoryError =>
logError("...")
System.exit(SparkExitCode.OOM)
case t: Throwable =>
logError("...")
System.exit(-1)
}
}
```
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