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https://issues.apache.org/jira/browse/SPARK-12031?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-12031:
-------------------------------------
Priority: Critical (was: Major)
> Integer overflow when do sampling.
> ----------------------------------
>
> Key: SPARK-12031
> URL: https://issues.apache.org/jira/browse/SPARK-12031
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.5.1, 1.5.2
> Reporter: uncleGen
> Priority: Critical
>
> In my case, some partitions contain too much items. When do range partition,
> exception thrown as:
> {code}
> java.lang.IllegalArgumentException: n must be positive
> at java.util.Random.nextInt(Random.java:300)
> at
> org.apache.spark.util.random.SamplingUtils$.reservoirSampleAndCount(SamplingUtils.scala:58)
> at org.apache.spark.RangePartitioner$$anonfun$8.apply(Partitioner.scala:259)
> at org.apache.spark.RangePartitioner$$anonfun$8.apply(Partitioner.scala:257)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1$$anonfun$apply$18.apply(RDD.scala:703)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1$$anonfun$apply$18.apply(RDD.scala:703)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
> at org.apache.spark.scheduler.Task.run(Task.scala:70)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> {code}
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