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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/01/30 02:26:35 UTC
[jira] [Updated] (SPARK-3080) ArrayIndexOutOfBoundsException in ALS
for Large datasets
[ https://issues.apache.org/jira/browse/SPARK-3080?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng updated SPARK-3080:
---------------------------------
Target Version/s: (was: 1.3.0)
> ArrayIndexOutOfBoundsException in ALS for Large datasets
> --------------------------------------------------------
>
> Key: SPARK-3080
> URL: https://issues.apache.org/jira/browse/SPARK-3080
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 1.1.0, 1.2.0
> Reporter: Burak Yavuz
> Assignee: Xiangrui Meng
>
> The stack trace is below:
> {quote}
> java.lang.ArrayIndexOutOfBoundsException: 2716
> org.apache.spark.mllib.recommendation.ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$updateBlock$1.apply$mcVI$sp(ALS.scala:543)
> scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:141)
> org.apache.spark.mllib.recommendation.ALS.org$apache$spark$mllib$recommendation$ALS$$updateBlock(ALS.scala:537)
> org.apache.spark.mllib.recommendation.ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$updateFeatures$2.apply(ALS.scala:505)
> org.apache.spark.mllib.recommendation.ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$updateFeatures$2.apply(ALS.scala:504)
> org.apache.spark.rdd.MappedValuesRDD$$anonfun$compute$1.apply(MappedValuesRDD.scala:31)
> org.apache.spark.rdd.MappedValuesRDD$$anonfun$compute$1.apply(MappedValuesRDD.scala:31)
> scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> org.apache.spark.util.collection.ExternalAppendOnlyMap.insertAll(ExternalAppendOnlyMap.scala:138)
> org.apache.spark.rdd.CoGroupedRDD$$anonfun$compute$5.apply(CoGroupedRDD.scala:159)
> org.apache.spark.rdd.CoGroupedRDD$$anonfun$compute$5.apply(CoGroupedRDD.scala:158)
> scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:771)
> org.apache.spark.rdd.CoGroupedRDD.compute(CoGroupedRDD.scala:158)
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
> org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
> org.apache.spark.rdd.MappedValuesRDD.compute(MappedValuesRDD.scala:31)
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
> org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
> org.apache.spark.rdd.FlatMappedValuesRDD.compute(FlatMappedValuesRDD.scala:31)
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
> org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
> org.apache.spark.rdd.FlatMappedRDD.compute(FlatMappedRDD.scala:33)
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
> org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
> {quote}
> This happened after the dataset was sub-sampled.
> Dataset properties: ~12B ratings
> Setup: 55 r3.8xlarge ec2 instances
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