This is a bug. Could you make a JIRA? -Xiangrui

On Sat, Nov 15, 2014 at 3:27 AM, lev <kat...@gmail.com> wrote:
> Hi,
>
> I'm having trouble using both zipWithIndex and repartition. When I use them
> both, the following action will get stuck and won't return.
> I'm using spark 1.1.0.
>
>
> Those 2 lines work as expected:
>
> scala> sc.parallelize(1 to 10).repartition(10).count()
> res0: Long = 10
>
> scala> sc.parallelize(1 to 10).zipWithIndex.count()
> res1: Long = 10
>
>
> But this statement get stuck and doesn't return:
>
> scala> sc.parallelize(1 to 10).zipWithIndex.repartition(10).count()
> 14/11/15 03:18:55 INFO spark.SparkContext: Starting job: apply at
> Option.scala:120
> 14/11/15 03:18:55 INFO scheduler.DAGScheduler: Got job 3 (apply at
> Option.scala:120) with 3 output partitions (allowLocal=false)
> 14/11/15 03:18:55 INFO scheduler.DAGScheduler: Final stage: Stage 4(apply at
> Option.scala:120)
> 14/11/15 03:18:55 INFO scheduler.DAGScheduler: Parents of final stage:
> List()
> 14/11/15 03:18:55 INFO scheduler.DAGScheduler: Missing parents: List()
> 14/11/15 03:18:55 INFO scheduler.DAGScheduler: Submitting Stage 4
> (ParallelCollectionRDD[7] at parallelize at <console>:13), which has no
> missing parents
> 14/11/15 03:18:55 INFO storage.MemoryStore: ensureFreeSpace(1096) called
> with curMem=7616, maxMem=138938941
> 14/11/15 03:18:55 INFO storage.MemoryStore: Block broadcast_4 stored as
> values in memory (estimated size 1096.0 B, free 132.5 MB)
>
>
> Am I doing something wrong here or is it a bug?
> Is there some work around?
>
> Thanks,
> Lev.
>
>
>
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