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https://issues.apache.org/jira/browse/SPARK-1712?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Matei Zaharia updated SPARK-1712:
---------------------------------

    Priority: Major  (was: Blocker)

> ParallelCollectionRDD operations hanging forever without any error messages 
> ----------------------------------------------------------------------------
>
>                 Key: SPARK-1712
>                 URL: https://issues.apache.org/jira/browse/SPARK-1712
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 0.9.0
>         Environment: Linux Ubuntu 14.04, a single spark node; standalone mode.
>            Reporter: Piotr Kołaczkowski
>            Assignee: Guoqiang Li
>         Attachments: executor.jstack.txt, master.jstack.txt, repl.jstack.txt, 
> spark-hang.png, worker.jstack.txt
>
>
>  conf/spark-defaults.conf
> {code}
> spark.akka.frameSize         5
> spark.default.parallelism    1
> {code}
> {noformat}
> scala> val collection = (1 to 1000000).map(i => ("foo" + i, i)).toVector
> collection: Vector[(String, Int)] = Vector((foo1,1), (foo2,2), (foo3,3), 
> (foo4,4), (foo5,5), (foo6,6), (foo7,7), (foo8,8), (foo9,9), (foo10,10), 
> (foo11,11), (foo12,12), (foo13,13), (foo14,14), (foo15,15), (foo16,16), 
> (foo17,17), (foo18,18), (foo19,19), (foo20,20), (foo21,21), (foo22,22), 
> (foo23,23), (foo24,24), (foo25,25), (foo26,26), (foo27,27), (foo28,28), 
> (foo29,29), (foo30,30), (foo31,31), (foo32,32), (foo33,33), (foo34,34), 
> (foo35,35), (foo36,36), (foo37,37), (foo38,38), (foo39,39), (foo40,40), 
> (foo41,41), (foo42,42), (foo43,43), (foo44,44), (foo45,45), (foo46,46), 
> (foo47,47), (foo48,48), (foo49,49), (foo50,50), (foo51,51), (foo52,52), 
> (foo53,53), (foo54,54), (foo55,55), (foo56,56), (foo57,57), (foo58,58), 
> (foo59,59), (foo60,60), (foo61,61), (foo62,62), (foo63,63), (foo64,64), 
> (foo...
> scala> val rdd = sc.parallelize(collection)
> rdd: org.apache.spark.rdd.RDD[(String, Int)] = ParallelCollectionRDD[0] at 
> parallelize at <console>:24
> scala> rdd.first
> res4: (String, Int) = (foo1,1)
> scala> rdd.map(_._2).sum
> // nothing happens
> {noformat}
> CPU and I/O idle. 
> Memory usage reported by JVM, after manually triggered GC:
> repl: 216 MB / 2 GB
> executor: 67 MB / 2 GB
> worker: 6 MB / 128 MB
> master: 6 MB / 128 MB
> No errors found in worker's stderr/stdout. 
> It works fine with 700,000 elements and then it takes about 1 second to 
> process the request and calculate the sum. With 700,000 items the spark 
> executor memory doesn't even exceed 300 MB out of 2GB available. It fails 
> with 800,000 items.
> Multiple parralelized collections of size 700,000 items at the same time in 
> the same session work fine.



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