[ 
https://issues.apache.org/jira/browse/SPARK-12031?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

uncleGen updated SPARK-12031:
-----------------------------
    Description: 
{code:title=Bar.java|borderStyle=solid}
        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)


  was:
```
        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)
```


> 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
>
> {code:title=Bar.java|borderStyle=solid}
>         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)



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