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Posted to issues@spark.apache.org by "Baohe Zhang (Jira)" <ji...@apache.org> on 2020/12/28 18:17:00 UTC
[jira] [Commented] (SPARK-33031) scheduler with blacklisting
doesn't appear to pick up new executor added
[ https://issues.apache.org/jira/browse/SPARK-33031?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17255685#comment-17255685 ]
Baohe Zhang commented on SPARK-33031:
-------------------------------------
New tasks won't be scheduled because the node is marked as blacklisted after 2 executors on that node are blacklisted. The behavior seems correct if the experiment is done on a single node.
> scheduler with blacklisting doesn't appear to pick up new executor added
> ------------------------------------------------------------------------
>
> Key: SPARK-33031
> URL: https://issues.apache.org/jira/browse/SPARK-33031
> Project: Spark
> Issue Type: Bug
> Components: Scheduler
> Affects Versions: 3.0.0, 3.1.0
> Reporter: Thomas Graves
> Priority: Critical
>
> I was running a test with blacklisting standalone mode and all the executors were initially blacklisted. Then one of the executors died and we got allocated another one. The scheduler did not appear to pick up the new one and try to schedule on it though.
> You can reproduce this by starting a master and slave on a single node, then launch a shell like where you will get multiple executors (in this case I got 3)
> $SPARK_HOME/bin/spark-shell --master spark://yourhost:7077 --executor-cores 4 --conf spark.blacklist.enabled=true
> From shell run:
> {code:java}
> import org.apache.spark.TaskContext
> val rdd = sc.makeRDD(1 to 1000, 5).mapPartitions { it =>
> val context = TaskContext.get()
> if (context.attemptNumber() < 2) {
> throw new Exception("test attempt num")
> }
> it
> }
> rdd.collect(){code}
>
> Note that I tried both with and without dynamic allocation enabled.
>
> You can see screen shot related on https://issues.apache.org/jira/browse/SPARK-33029
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