[ https://issues.apache.org/jira/browse/SPARK-14244?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Yin Huai resolved SPARK-14244. ------------------------------ Resolution: Fixed Fix Version/s: 2.0.0 Issue resolved by pull request 12040 [https://github.com/apache/spark/pull/12040] > Physical Window operator uses global SizeBasedWindowFunction.n attribute > generated on both driver and executor side > ------------------------------------------------------------------------------------------------------------------- > > Key: SPARK-14244 > URL: https://issues.apache.org/jira/browse/SPARK-14244 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 1.6.1, 2.0.0 > Reporter: Cheng Lian > Assignee: Cheng Lian > Fix For: 2.0.0 > > > To reproduce this issue, first start a local cluster with at least one > worker. Then try the following Spark shell snippet: > {code} > import org.apache.spark.sql.expressions._ > import org.apache.spark.sql.functions._ > sqlContext. > range(10). > select( > 'id, > cume_dist() over (Window orderBy 'id) as 'cdist > ). > orderBy('cdist). > show() > {code} > Exception thrown: > {noformat} > org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in > stage 1.0 failed 4 times, most recent failure: Lost task 0.3 in stage 1.0 > (TID 11, 192.168.1.101): > org.apache.spark.sql.catalyst.errors.package$TreeNodeException: Binding > attribute, tree: window__partition__size#4 > at > org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:47) > at > org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:92) > at > org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:91) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:259) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:259) > at > org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:67) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:258) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:264) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:264) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:301) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:370) > at scala.collection.Iterator$class.foreach(Iterator.scala:742) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1194) > 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$class.to(TraversableOnce.scala:308) > at scala.collection.AbstractIterator.to(Iterator.scala:1194) > at > scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:300) > at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1194) > at > scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:287) > at scala.collection.AbstractIterator.toArray(Iterator.scala:1194) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:350) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:264) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:264) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:264) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:301) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:370) > at scala.collection.Iterator$class.foreach(Iterator.scala:742) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1194) > 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$class.to(TraversableOnce.scala:308) > at scala.collection.AbstractIterator.to(Iterator.scala:1194) > at > scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:300) > at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1194) > at > scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:287) > at scala.collection.AbstractIterator.toArray(Iterator.scala:1194) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:350) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:264) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:248) > at > org.apache.spark.sql.catalyst.expressions.BindReferences$.bindReference(BoundAttribute.scala:91) > at > org.apache.spark.sql.catalyst.expressions.codegen.GenerateMutableProjection$$anonfun$bind$1.apply(GenerateMutableProjection.scala:38) > at > org.apache.spark.sql.catalyst.expressions.codegen.GenerateMutableProjection$$anonfun$bind$1.apply(GenerateMutableProjection.scala:38) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) > at > scala.collection.TraversableLike$class.map(TraversableLike.scala:245) > at scala.collection.AbstractTraversable.map(Traversable.scala:104) > at > org.apache.spark.sql.catalyst.expressions.codegen.GenerateMutableProjection$.bind(GenerateMutableProjection.scala:38) > at > org.apache.spark.sql.catalyst.expressions.codegen.GenerateMutableProjection$.generate(GenerateMutableProjection.scala:44) > at > org.apache.spark.sql.execution.SparkPlan.newMutableProjection(SparkPlan.scala:348) > at > org.apache.spark.sql.execution.Window$$anonfun$windowFrameExpressionFactoryPairs$2$$anonfun$org$apache$spark$sql$execution$Window$$anonfun$$processor$1$1.apply(Window.scala:202) > at > org.apache.spark.sql.execution.Window$$anonfun$windowFrameExpressionFactoryPairs$2$$anonfun$org$apache$spark$sql$execution$Window$$anonfun$$processor$1$1.apply(Window.scala:201) > at > org.apache.spark.sql.execution.AggregateProcessor$.apply(Window.scala:927) > at > org.apache.spark.sql.execution.Window$$anonfun$windowFrameExpressionFactoryPairs$2.org$apache$spark$sql$execution$Window$$anonfun$$processor$1(Window.scala:197) > at > org.apache.spark.sql.execution.Window$$anonfun$windowFrameExpressionFactoryPairs$2$$anonfun$6.apply(Window.scala:223) > at > org.apache.spark.sql.execution.Window$$anonfun$windowFrameExpressionFactoryPairs$2$$anonfun$6.apply(Window.scala:220) > at > org.apache.spark.sql.execution.Window$$anonfun$14$$anon$1$$anonfun$16.apply(Window.scala:317) > at > org.apache.spark.sql.execution.Window$$anonfun$14$$anon$1$$anonfun$16.apply(Window.scala:317) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) > at > scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) > at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186) > at > scala.collection.TraversableLike$class.map(TraversableLike.scala:245) > at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:186) > at > org.apache.spark.sql.execution.Window$$anonfun$14$$anon$1.<init>(Window.scala:317) > at > org.apache.spark.sql.execution.Window$$anonfun$14.apply(Window.scala:289) > at > org.apache.spark.sql.execution.Window$$anonfun$14.apply(Window.scala:288) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$22.apply(RDD.scala:754) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$22.apply(RDD.scala:754) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:282) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:282) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:282) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:69) > at org.apache.spark.scheduler.Task.run(Task.scala:82) > at > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:231) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > Caused by: java.lang.RuntimeException: Couldn't find > window__partition__size#4 in [window__partition__size#0,rowNumber#3] > at scala.sys.package$.error(package.scala:27) > at > org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1$$anonfun$applyOrElse$1.apply(BoundAttribute.scala:98) > at > org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1$$anonfun$applyOrElse$1.apply(BoundAttribute.scala:92) > at > org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:46) > ... 87 more > Driver stacktrace: > at > org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1457) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1445) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1444) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) > at > org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1444) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:809) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:809) > at scala.Option.foreach(Option.scala:257) > at > org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:809) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1666) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1625) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1614) > at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) > at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:630) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1765) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1828) > at org.apache.spark.rdd.RDD$$anonfun$reduce$1.apply(RDD.scala:971) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) > at org.apache.spark.rdd.RDD.withScope(RDD.scala:357) > at org.apache.spark.rdd.RDD.reduce(RDD.scala:953) > at org.apache.spark.rdd.RDD$$anonfun$takeOrdered$1.apply(RDD.scala:1352) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) > at org.apache.spark.rdd.RDD.withScope(RDD.scala:357) > at org.apache.spark.rdd.RDD.takeOrdered(RDD.scala:1339) > at > org.apache.spark.sql.execution.TakeOrderedAndProject.executeCollect(limit.scala:126) > at > org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1.apply(Dataset.scala:2049) > at > org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:53) > at org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2312) > at > org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$execute$1(Dataset.scala:2048) > at > org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collect(Dataset.scala:2055) > at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:1822) > at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:1821) > at org.apache.spark.sql.Dataset.withTypedCallback(Dataset.scala:2342) > at org.apache.spark.sql.Dataset.head(Dataset.scala:1821) > at org.apache.spark.sql.Dataset.take(Dataset.scala:2005) > at org.apache.spark.sql.Dataset.showString(Dataset.scala:231) > at org.apache.spark.sql.Dataset.show(Dataset.scala:508) > at org.apache.spark.sql.Dataset.show(Dataset.scala:468) > at org.apache.spark.sql.Dataset.show(Dataset.scala:477) > ... 53 elided > Caused by: org.apache.spark.sql.catalyst.errors.package$TreeNodeException: > Binding attribute, tree: window__partition__size#4 > at > org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:47) > at > org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:92) > at > org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:91) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:259) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:259) > at > org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:67) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:258) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:264) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:264) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:301) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:370) > at scala.collection.Iterator$class.foreach(Iterator.scala:742) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1194) > at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59) > at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104) > at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48) > at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:308) > at scala.collection.AbstractIterator.to(Iterator.scala:1194) > at > scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:300) > at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1194) > at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:287) > at scala.collection.AbstractIterator.toArray(Iterator.scala:1194) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:350) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:264) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:264) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:264) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:301) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:370) > at scala.collection.Iterator$class.foreach(Iterator.scala:742) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1194) > at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59) > at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104) > at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48) > at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:308) > at scala.collection.AbstractIterator.to(Iterator.scala:1194) > at > scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:300) > at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1194) > at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:287) > at scala.collection.AbstractIterator.toArray(Iterator.scala:1194) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:350) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:264) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:248) > at > org.apache.spark.sql.catalyst.expressions.BindReferences$.bindReference(BoundAttribute.scala:91) > at > org.apache.spark.sql.catalyst.expressions.codegen.GenerateMutableProjection$$anonfun$bind$1.apply(GenerateMutableProjection.scala:38) > at > org.apache.spark.sql.catalyst.expressions.codegen.GenerateMutableProjection$$anonfun$bind$1.apply(GenerateMutableProjection.scala:38) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) > at scala.collection.TraversableLike$class.map(TraversableLike.scala:245) > at scala.collection.AbstractTraversable.map(Traversable.scala:104) > at > org.apache.spark.sql.catalyst.expressions.codegen.GenerateMutableProjection$.bind(GenerateMutableProjection.scala:38) > at > org.apache.spark.sql.catalyst.expressions.codegen.GenerateMutableProjection$.generate(GenerateMutableProjection.scala:44) > at > org.apache.spark.sql.execution.SparkPlan.newMutableProjection(SparkPlan.scala:348) > at > org.apache.spark.sql.execution.Window$$anonfun$windowFrameExpressionFactoryPairs$2$$anonfun$org$apache$spark$sql$execution$Window$$anonfun$$processor$1$1.apply(Window.scala:202) > at > org.apache.spark.sql.execution.Window$$anonfun$windowFrameExpressionFactoryPairs$2$$anonfun$org$apache$spark$sql$execution$Window$$anonfun$$processor$1$1.apply(Window.scala:201) > at > org.apache.spark.sql.execution.AggregateProcessor$.apply(Window.scala:927) > at > org.apache.spark.sql.execution.Window$$anonfun$windowFrameExpressionFactoryPairs$2.org$apache$spark$sql$execution$Window$$anonfun$$processor$1(Window.scala:197) > at > org.apache.spark.sql.execution.Window$$anonfun$windowFrameExpressionFactoryPairs$2$$anonfun$6.apply(Window.scala:223) > at > org.apache.spark.sql.execution.Window$$anonfun$windowFrameExpressionFactoryPairs$2$$anonfun$6.apply(Window.scala:220) > at > org.apache.spark.sql.execution.Window$$anonfun$14$$anon$1$$anonfun$16.apply(Window.scala:317) > at > org.apache.spark.sql.execution.Window$$anonfun$14$$anon$1$$anonfun$16.apply(Window.scala:317) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) > at > scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) > at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186) > at scala.collection.TraversableLike$class.map(TraversableLike.scala:245) > at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:186) > at > org.apache.spark.sql.execution.Window$$anonfun$14$$anon$1.<init>(Window.scala:317) > at org.apache.spark.sql.execution.Window$$anonfun$14.apply(Window.scala:289) > at org.apache.spark.sql.execution.Window$$anonfun$14.apply(Window.scala:288) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$22.apply(RDD.scala:754) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$22.apply(RDD.scala:754) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:282) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:282) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:282) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:69) > at org.apache.spark.scheduler.Task.run(Task.scala:82) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:231) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > Caused by: java.lang.RuntimeException: Couldn't find > window__partition__size#4 in [window__partition__size#0,rowNumber#3] > at scala.sys.package$.error(package.scala:27) > at > org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1$$anonfun$applyOrElse$1.apply(BoundAttribute.scala:98) > at > org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1$$anonfun$applyOrElse$1.apply(BoundAttribute.scala:92) > at > org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:46) > ... 87 more > {noformat} > The reason is that we are trying to bind global attribute > {{SizeBasedWindowFunction.n}} created on driver side to a schema containing > {{SizeBasedWindowFunction.n}} created on executor side. It fails because > these two attributes have different expression IDs. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org