zhengxiang pan created SPARK-19600:
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Summary: 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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