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https://issues.apache.org/jira/browse/SPARK-33031?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17204265#comment-17204265
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Thomas Graves commented on SPARK-33031:
---------------------------------------
I tried this again on yarn and now it seems to be working there so it might
only be standalone mode.
> 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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