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https://issues.apache.org/jira/browse/SPARK-15704?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15341598#comment-15341598
]
Deenar Toraskar commented on SPARK-15704:
-----------------------------------------
[~inouehrs] thanks for checking this out, Do you want me to raise another JIRA?
> TungstenAggregate crashes
> --------------------------
>
> Key: SPARK-15704
> URL: https://issues.apache.org/jira/browse/SPARK-15704
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.0
> Reporter: Hiroshi Inoue
> Assignee: Hiroshi Inoue
> Fix For: 2.0.0
>
>
> When I run DatasetBenchmark, the JVM crashes while executing "Dataset complex
> Aggregator" test case due to IndexOutOfBoundsException.
> The error happens in TungstenAggregate; the mappings between bufferSerializer
> and bufferDeserializer are broken due to unresolved attribute.
> {quote}
> 16/06/02 01:41:05 ERROR Executor: Exception in task 0.0 in stage 67.0 (TID
> 232)
> java.lang.IndexOutOfBoundsException: -1
> at
> scala.collection.LinearSeqOptimized$class.apply(LinearSeqOptimized.scala:65)
> at scala.collection.immutable.List.apply(List.scala:84)
> at
> org.apache.spark.sql.catalyst.expressions.aggregate.DeclarativeAggregate$RichAttribute.right(interfaces.scala:389)
> at
> org.apache.spark.sql.execution.aggregate.TypedAggregateExpression$$anonfun$3.applyOrElse(TypedAggregateExpression.scala:110)
> at
> org.apache.spark.sql.execution.aggregate.TypedAggregateExpression$$anonfun$3.applyOrElse(TypedAggregateExpression.scala:109)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:265)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:265)
> at
> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:68)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:264)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:270)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:270)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:307)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
> at
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
> at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
> at scala.collection.AbstractIterator.to(Iterator.scala:1336)
> at
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1336)
> at
> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
> at scala.collection.AbstractIterator.toArray(Iterator.scala:1336)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:356)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:270)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:270)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:270)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5$$anonfun$apply$11.apply(TreeNode.scala:336)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.immutable.List.foreach(List.scala:381)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.immutable.List.map(List.scala:285)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:334)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
> at
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
> at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
> at scala.collection.AbstractIterator.to(Iterator.scala:1336)
> at
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1336)
> at
> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
> at scala.collection.AbstractIterator.toArray(Iterator.scala:1336)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:356)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:270)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:254)
> at
> org.apache.spark.sql.execution.aggregate.TypedAggregateExpression.mergeExpressions$lzycompute(TypedAggregateExpression.scala:109)
> at
> org.apache.spark.sql.execution.aggregate.TypedAggregateExpression.mergeExpressions(TypedAggregateExpression.scala:105)
> at
> org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$7.apply(AggregationIterator.scala:162)
> at
> org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$7.apply(AggregationIterator.scala:158)
> at
> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at
> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> at
> scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
> at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)
> at
> org.apache.spark.sql.execution.aggregate.AggregationIterator.generateProcessRow(AggregationIterator.scala:158)
> at
> org.apache.spark.sql.execution.aggregate.AggregationIterator.<init>(AggregationIterator.scala:197)
> at
> org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.<init>(SortBasedAggregationIterator.scala:39)
> at
> org.apache.spark.sql.execution.aggregate.SortBasedAggregateExec$$anonfun$doExecute$1$$anonfun$3.apply(SortBasedAggregateExec.scala:80)
> at
> org.apache.spark.sql.execution.aggregate.SortBasedAggregateExec$$anonfun$doExecute$1$$anonfun$3.apply(SortBasedAggregateExec.scala:71)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:775)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:775)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
> at org.apache.spark.scheduler.Task.run(Task.scala:85)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
> 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}
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