Github user jsoltren commented on a diff in the pull request:
https://github.com/apache/spark/pull/18594#discussion_r128871196
--- Diff: core/src/main/scala/org/apache/spark/executor/Executor.scala ---
@@ -473,29 +473,36 @@ private[spark] class Executor(
// the default uncaught exception handler, which will terminate
the Executor.
logError(s"Exception in $taskName (TID $taskId)", t)
- // Collect latest accumulator values to report back to the driver
- val accums: Seq[AccumulatorV2[_, _]] =
- if (task != null) {
- task.metrics.setExecutorRunTime(System.currentTimeMillis() -
taskStart)
- task.metrics.setJvmGCTime(computeTotalGcTime() - startGCTime)
- task.collectAccumulatorUpdates(taskFailed = true)
- } else {
- Seq.empty
- }
+ // SPARK-20904: Do not report failure to driver if if happened
during shut down. Because
+ // libraries may set up shutdown hooks that race with running
tasks during shutdown,
+ // spurious failures may occur and can result in improper
accounting in the driver (e.g.
+ // the task failure would not be ignored if the shutdown
happened because of premption,
+ // instead of an app issue).
+ if (!ShutdownHookManager.inShutdown()) {
--- End diff --
At this point I don't think we have any information on why we're in
shutdown, whether it is an app issue, the Spark executor process being killed
from the command line, etc.
Yes, a nice log message would be nice. Maybe, in the else clause to this
if, something like logInfo(s"Not reporting failure as we are in the middle of a
shutdown").
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