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Posted to issues@spark.apache.org by "Charles Allen (JIRA)" <ji...@apache.org> on 2016/08/01 19:30:20 UTC
[jira] [Commented] (SPARK-16798)
java.lang.IllegalArgumentException: bound must be positive : Worked in
1.5.2
[ https://issues.apache.org/jira/browse/SPARK-16798?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15402676#comment-15402676 ]
Charles Allen commented on SPARK-16798:
---------------------------------------
Minor update. Due to library collisions I have to change around how some of the tagging works internally. I'm cutting an internal-only release of https://github.com/metamx/spark/commit/13650fc58e1fcf2cf2a26ba11c819185ae1acc1f with a new tag/version to prevent potential version conflicts in our infrastructure. Didn't want to mess with it over the weekend so new build is making its way through now.
> java.lang.IllegalArgumentException: bound must be positive : Worked in 1.5.2
> ----------------------------------------------------------------------------
>
> Key: SPARK-16798
> URL: https://issues.apache.org/jira/browse/SPARK-16798
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.0.0
> Reporter: Charles Allen
>
> Code at https://github.com/metamx/druid-spark-batch which was working under 1.5.2 has ceased to function under 2.0.0 with the below stacktrace.
> {code}
> java.lang.IllegalArgumentException: bound must be positive
> at java.util.Random.nextInt(Random.java:388)
> at org.apache.spark.rdd.RDD$$anonfun$coalesce$1$$anonfun$9.apply(RDD.scala:445)
> at org.apache.spark.rdd.RDD$$anonfun$coalesce$1$$anonfun$9.apply(RDD.scala:444)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1$$anonfun$apply$25.apply(RDD.scala:807)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1$$anonfun$apply$25.apply(RDD.scala:807)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
> at org.apache.spark.scheduler.Task.run(Task.scala:85)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> {code}
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