You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Qiang Wang (Jira)" <ji...@apache.org> on 2019/08/29 11:53:00 UTC
[jira] [Updated] (SPARK-28913) ArrayIndexOutOfBoundsException in
ALS for datasets with 12 billion instances
[ https://issues.apache.org/jira/browse/SPARK-28913?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Qiang Wang updated SPARK-28913:
-------------------------------
Summary: ArrayIndexOutOfBoundsException in ALS for datasets with 12 billion instances (was: ArrayIndexOutOfBoundsException in ALS for Large datasets)
> ArrayIndexOutOfBoundsException in ALS for datasets with 12 billion instances
> -----------------------------------------------------------------------------
>
> Key: SPARK-28913
> URL: https://issues.apache.org/jira/browse/SPARK-28913
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 2.2.1
> Reporter: Qiang Wang
> Assignee: Xiangrui Meng
> Priority: Major
>
> The stack trace is below:
> {quote}19/08/28 07:00:40 WARN Executor task launch worker for task 325074 BlockManager: Block rdd_10916_493 could not be removed as it was not found on disk or in memory 19/08/28 07:00:41 ERROR Executor task launch worker for task 325074 Executor: Exception in task 3.0 in stage 347.1 (TID 325074) java.lang.ArrayIndexOutOfBoundsException: 6741 at org.apache.spark.dpshade.recommendation.ALS$$anonfun$org$apache$spark$ml$recommendation$ALS$$computeFactors$1.apply(ALS.scala:1460) at org.apache.spark.dpshade.recommendation.ALS$$anonfun$org$apache$spark$ml$recommendation$ALS$$computeFactors$1.apply(ALS.scala:1440) at org.apache.spark.rdd.PairRDDFunctions$$anonfun$mapValues$1$$anonfun$apply$40$$anonfun$apply$41.apply(PairRDDFunctions.scala:760) at org.apache.spark.rdd.PairRDDFunctions$$anonfun$mapValues$1$$anonfun$apply$40$$anonfun$apply$41.apply(PairRDDFunctions.scala:760) at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) at org.apache.spark.storage.memory.MemoryStore.putIteratorAsValues(MemoryStore.scala:216) at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1041) at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1032) at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:972) at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1032) at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:763) at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:334) at org.apache.spark.rdd.RDD.iterator(RDD.scala:285) at org.apache.spark.rdd.CoGroupedRDD$$anonfun$compute$2.apply(CoGroupedRDD.scala:141) at org.apache.spark.rdd.CoGroupedRDD$$anonfun$compute$2.apply(CoGroupedRDD.scala:137) at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733) at scala.collection.immutable.List.foreach(List.scala:381) at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:732) at org.apache.spark.rdd.CoGroupedRDD.compute(CoGroupedRDD.scala:137) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:358) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745){quote}
> This happened after the dataset was sub-sampled.
> Dataset properties: ~12B ratings
> Setup: 55 r3.8xlarge ec2 instances
--
This message was sent by Atlassian Jira
(v8.3.2#803003)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org