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From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-19600) ArrayIndexOutOfBoundsException in ALS
Date Tue, 14 Feb 2017 19:49:41 GMT

     [ https://issues.apache.org/jira/browse/SPARK-19600?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Sean Owen resolved SPARK-19600.
-------------------------------
    Resolution: Duplicate

Questions go to the mailing list. Don't open duplicate JIRAs to re-ask.

> ArrayIndexOutOfBoundsException in ALS
> -------------------------------------
>
>                 Key: SPARK-19600
>                 URL: https://issues.apache.org/jira/browse/SPARK-19600
>             Project: Spark
>          Issue Type: Bug
>          Components: MLlib
>    Affects Versions: 2.0.1
>            Reporter: zhengxiang pan
>            Priority: Blocker
>
> Understand issue SPARK-3080 closed, but I don't understand yet what cause the issue:
memory, parallelism, negative userID or product ID?
> I consistently ran into this issue with different set of training set, can you suggest
any area to look at?
> java.lang.ArrayIndexOutOfBoundsException: 221529807
>         at org.apache.spark.ml.recommendation.ALS$$anonfun$partitionRatings$1$$anonfun$apply$6.apply(ALS.scala:944)
>         at org.apache.spark.ml.recommendation.ALS$$anonfun$partitionRatings$1$$anonfun$apply$6.apply(ALS.scala:940)
>         at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434)
>         at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
>         at scala.collection.Iterator$JoinIterator.hasNext(Iterator.scala:211)
>         at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:200)
>         at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:63)
>         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:86)
>         at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
>         at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>         at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>         at java.lang.Thread.run(Thread.java:745)



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