[
https://issues.apache.org/jira/browse/SPARK-24755?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Mridul Muralidharan updated SPARK-24755:
----------------------------------------
Description:
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 when T1 succeeded).
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 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.
was:
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 when T1 succeeded).
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.
> Executor loss can cause task to not be 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
> Priority: Major
>
> 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 when T1 succeeded).
> 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 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.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
