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Posted to issues@spark.apache.org by "Mridul Muralidharan (JIRA)" <ji...@apache.org> on 2018/07/07 07:31:00 UTC
[jira] [Created] (SPARK-24755) Executor loss can cause task to be
not resubmitted
Mridul Muralidharan created SPARK-24755:
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Summary: Executor loss can cause task to be not resubmitted
Key: SPARK-24755
URL: https://issues.apache.org/jira/browse/SPARK-24755
Project: Spark
Issue Type: Bug
Components: Spark Core
Affects Versions: 2.3.0
Reporter: Mridul Muralidharan
As part of SPARK-22074, when an executor is lost, TSM.executorLost currently checks for "if (successful(index) && !killedByOtherAttempt(index))" to decide if task needs to be resubmitted for partition.
Consider following:
For partition P1, tasks T1 and T2 are running on exec-1 and exec-2 respectively (one of them being speculative task)
T1 finishes successfully first.
This results in setting "killedByOtherAttempt(P1) = true" due to running T2.
We also end up killing task T2.
Now, exec-1 if/when goes MIA.
executorLost will no longer schedule task for P1 - since killedByOtherAttempt(P1) == true; even though P1 was hosted on T1 and there is no other copy of P1 around (T2 was killed, not T1 - which was successful).
I noticed this bug as part of reviewing PR# 21653 for SPARK-13343
Essentially, SPARK-22074 causes a regression (which I dont usually observe due to shuffle service, sigh) - and as such the fix is broken IMO : I believe it got introduced as part of the review (the original change looked fine to me - but I did not look at it in detail).
I dont have a PR handy for this, so if anyone wants to pick it up, please do feel free !
+CC [~XuanYuan] who fixed SPARK-22074 initially.
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