[ https://issues.apache.org/jira/browse/SPARK-13867?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Davies Liu resolved SPARK-13867. -------------------------------- Resolution: Fixed Assignee: Cheng Lian https://github.com/apache/spark/pull/12040 > Failed to bind reference when cume_dist is used > ----------------------------------------------- > > Key: SPARK-13867 > URL: https://issues.apache.org/jira/browse/SPARK-13867 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.0.0 > Reporter: Yin Huai > Assignee: Cheng Lian > > When cume_dist is used, we got the following error. > {code} > org.apache.spark.SparkException: Job aborted due to stage failure: Task 10 in > stage 102.0 failed 4 times, most recent failure: Lost task 10.3 in stage > 102.0 (TID 8448, ip-10-216-233-112.eu-west-1.compute.internal): > org.apache.spark.sql.catalyst.errors.package$TreeNodeException: Binding > attribute, tree: window__partition__size#206 > at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:49) > at > org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:86) > at > org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:85) > 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:69) > 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$$anonfun$4.apply(TreeNode.scala:281) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > at scala.collection.Iterator$class.foreach(Iterator.scala:727) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) > at > scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) > at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273) > at scala.collection.AbstractIterator.to(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) > at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) > at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:321) > 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$$anonfun$4.apply(TreeNode.scala:281) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > at scala.collection.Iterator$class.foreach(Iterator.scala:727) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) > at > scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) > at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273) > at scala.collection.AbstractIterator.to(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) > at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) > at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:321) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:264) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:249) > at > org.apache.spark.sql.catalyst.expressions.BindReferences$.bindReference(BoundAttribute.scala:85) > at > org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection$$anonfun$$init$$2.apply(Projection.scala:62) > at > org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection$$anonfun$$init$$2.apply(Projection.scala:62) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > at scala.collection.TraversableLike$class.map(TraversableLike.scala:244) > at scala.collection.AbstractTraversable.map(Traversable.scala:105) > at > org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.<init>(Projection.scala:62) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$newMutableProjection$1.apply(SparkPlan.scala:234) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$newMutableProjection$1.apply(SparkPlan.scala:234) > at > org.apache.spark.sql.execution.AggregateProcessor$.apply(Window.scala:925) > at > org.apache.spark.sql.execution.Window$$anonfun$windowFrameExpressionFactoryPairs$2.org$apache$spark$sql$execution$Window$$anonfun$$processor$1(Window.scala:201) > at > org.apache.spark.sql.execution.Window$$anonfun$windowFrameExpressionFactoryPairs$2$$anonfun$6.apply(Window.scala:221) > at > org.apache.spark.sql.execution.Window$$anonfun$windowFrameExpressionFactoryPairs$2$$anonfun$6.apply(Window.scala:218) > at > org.apache.spark.sql.execution.Window$$anonfun$14$$anon$1$$anonfun$16.apply(Window.scala:315) > at > org.apache.spark.sql.execution.Window$$anonfun$14$$anon$1$$anonfun$16.apply(Window.scala:315) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) > at > scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) > at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108) > at scala.collection.TraversableLike$class.map(TraversableLike.scala:244) > at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108) > at > org.apache.spark.sql.execution.Window$$anonfun$14$$anon$1.<init>(Window.scala:315) > at > org.apache.spark.sql.execution.Window$$anonfun$14.apply(Window.scala:287) > at > org.apache.spark.sql.execution.Window$$anonfun$14.apply(Window.scala:286) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) > at org.apache.spark.scheduler.Task.run(Task.scala:89) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > Caused by: java.lang.RuntimeException: Couldn't find > window__partition__size#206 in [window__partition__size#3,rowNumber#248] > at scala.sys.package$.error(package.scala:27) > at > org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1$$anonfun$applyOrElse$1.apply(BoundAttribute.scala:92) > at > org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1$$anonfun$applyOrElse$1.apply(BoundAttribute.scala:86) > at > org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:48) > ... 86 more > Driver stacktrace: > at > org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1431) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1418) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > at > org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799) > at scala.Option.foreach(Option.scala:236) > at > org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:799) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1640) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1599) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1588) > at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) > at > org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1835) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1848) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1925) > at > org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply$mcV$sp(PairRDDFunctions.scala:1213) > at > org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply(PairRDDFunctions.scala:1156) > at > org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply(PairRDDFunctions.scala:1156) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111) > at org.apache.spark.rdd.RDD.withScope(RDD.scala:316) > at > org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopDataset(PairRDDFunctions.scala:1156) > at > org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply$mcV$sp(PairRDDFunctions.scala:1060) > at > org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply(PairRDDFunctions.scala:1026) > at > org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply(PairRDDFunctions.scala:1026) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111) > at org.apache.spark.rdd.RDD.withScope(RDD.scala:316) > at > org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopFile(PairRDDFunctions.scala:1026) > at > org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$1.apply$mcV$sp(PairRDDFunctions.scala:952) > at > org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$1.apply(PairRDDFunctions.scala:952) > at > org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$1.apply(PairRDDFunctions.scala:952) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111) > at org.apache.spark.rdd.RDD.withScope(RDD.scala:316) > at > org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopFile(PairRDDFunctions.scala:951) > at > org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1.apply$mcV$sp(RDD.scala:1457) > at > org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1.apply(RDD.scala:1436) > at > org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1.apply(RDD.scala:1436) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111) > at org.apache.spark.rdd.RDD.withScope(RDD.scala:316) > at org.apache.spark.rdd.RDD.saveAsTextFile(RDD.scala:1436) > at > com.databricks.spark.csv.package$CsvSchemaRDD.saveAsCsvFile(package.scala:180) > at > com.databricks.spark.csv.DefaultSource.createRelation(DefaultSource.scala:185) > at > org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:222) > at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:148) > at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:139) > Caused by: org.apache.spark.sql.catalyst.errors.package$TreeNodeException: > Binding attribute, tree: window__partition__size#206 > at > org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:49) > at > org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:86) > at > org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:85) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:259) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:259) > at > org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:69) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:258) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$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$4.apply(TreeNode.scala:281) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > at scala.collection.Iterator$class.foreach(Iterator.scala:727) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) > at > scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) > at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273) > at scala.collection.AbstractIterator.to(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) > at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) > at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:321) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:264) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$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$4.apply(TreeNode.scala:281) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > at scala.collection.Iterator$class.foreach(Iterator.scala:727) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) > at > scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) > at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273) > at scala.collection.AbstractIterator.to(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) > at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) > at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:321) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:264) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:249) > at > org.apache.spark.sql.catalyst.expressions.BindReferences$.bindReference(BoundAttribute.scala:85) > at > org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection$$anonfun$$init$$2.apply(Projection.scala:62) > at > org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection$$anonfun$$init$$2.apply(Projection.scala:62) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > at scala.collection.TraversableLike$class.map(TraversableLike.scala:244) > at scala.collection.AbstractTraversable.map(Traversable.scala:105) > at > org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.<init>(Projection.scala:62) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$newMutableProjection$1.apply(SparkPlan.scala:234) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$newMutableProjection$1.apply(SparkPlan.scala:234) > at > org.apache.spark.sql.execution.AggregateProcessor$.apply(Window.scala:925) > at > org.apache.spark.sql.execution.Window$$anonfun$windowFrameExpressionFactoryPairs$2.org$apache$spark$sql$execution$Window$$anonfun$$processor$1(Window.scala:201) > at > org.apache.spark.sql.execution.Window$$anonfun$windowFrameExpressionFactoryPairs$2$$anonfun$6.apply(Window.scala:221) > at > org.apache.spark.sql.execution.Window$$anonfun$windowFrameExpressionFactoryPairs$2$$anonfun$6.apply(Window.scala:218) > at > org.apache.spark.sql.execution.Window$$anonfun$14$$anon$1$$anonfun$16.apply(Window.scala:315) > at > org.apache.spark.sql.execution.Window$$anonfun$14$$anon$1$$anonfun$16.apply(Window.scala:315) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) > at > scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) > at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108) > at scala.collection.TraversableLike$class.map(TraversableLike.scala:244) > at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108) > at > org.apache.spark.sql.execution.Window$$anonfun$14$$anon$1.<init>(Window.scala:315) > at > org.apache.spark.sql.execution.Window$$anonfun$14.apply(Window.scala:287) > at > org.apache.spark.sql.execution.Window$$anonfun$14.apply(Window.scala:286) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) > at org.apache.spark.scheduler.Task.run(Task.scala:89) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > Caused by: java.lang.RuntimeException: Couldn't find > window__partition__size#206 in [window__partition__size#3,rowNumber#248] > at scala.sys.package$.error(package.scala:27) > at > org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1$$anonfun$applyOrElse$1.apply(BoundAttribute.scala:92) > at > org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1$$anonfun$applyOrElse$1.apply(BoundAttribute.scala:86) > at > org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:48) > at > org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:86) > at > org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:85) > 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:69) > 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$$anonfun$4.apply(TreeNode.scala:281) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > at scala.collection.Iterator$class.foreach(Iterator.scala:727) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) > at > scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) > at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273) > at scala.collection.AbstractIterator.to(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) > at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) > at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:321) > 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$$anonfun$4.apply(TreeNode.scala:281) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > at scala.collection.Iterator$class.foreach(Iterator.scala:727) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) > at > scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) > at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273) > at scala.collection.AbstractIterator.to(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) > at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) > at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:321) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:264) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:249) > at > org.apache.spark.sql.catalyst.expressions.BindReferences$.bindReference(BoundAttribute.scala:85) > at > org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection$$anonfun$$init$$2.apply(Projection.scala:62) > at > org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection$$anonfun$$init$$2.apply(Projection.scala:62) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > at scala.collection.TraversableLike$class.map(TraversableLike.scala:244) > at scala.collection.AbstractTraversable.map(Traversable.scala:105) > at > org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.<init>(Projection.scala:62) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$newMutableProjection$1.apply(SparkPlan.scala:234) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$newMutableProjection$1.apply(SparkPlan.scala:234) > at > org.apache.spark.sql.execution.AggregateProcessor$.apply(Window.scala:925) > at > org.apache.spark.sql.execution.Window$$anonfun$windowFrameExpressionFactoryPairs$2.org$apache$spark$sql$execution$Window$$anonfun$$processor$1(Window.scala:201) > at > org.apache.spark.sql.execution.Window$$anonfun$windowFrameExpressionFactoryPairs$2$$anonfun$6.apply(Window.scala:221) > at > org.apache.spark.sql.execution.Window$$anonfun$windowFrameExpressionFactoryPairs$2$$anonfun$6.apply(Window.scala:218) > at > org.apache.spark.sql.execution.Window$$anonfun$14$$anon$1$$anonfun$16.apply(Window.scala:315) > at > org.apache.spark.sql.execution.Window$$anonfun$14$$anon$1$$anonfun$16.apply(Window.scala:315) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) > at > scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) > at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108) > at scala.collection.TraversableLike$class.map(TraversableLike.scala:244) > at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108) > at > org.apache.spark.sql.execution.Window$$anonfun$14$$anon$1.<init>(Window.scala:315) > at > org.apache.spark.sql.execution.Window$$anonfun$14.apply(Window.scala:287) > at > org.apache.spark.sql.execution.Window$$anonfun$14.apply(Window.scala:286) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) > at org.apache.spark.scheduler.Task.run(Task.scala:89) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) > 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) > {code} > The line 201 of Window.scala is {{def processor = > AggregateProcessor(functions, ordinal, child.output, newMutableProjection)}} > and the AggregateProcessor is defined as > {code} > private[execution] object AggregateProcessor { > def apply(functions: Array[Expression], > ordinal: Int, > inputAttributes: Seq[Attribute], > newMutableProjection: (Seq[Expression], Seq[Attribute]) => () => > MutableProjection): > AggregateProcessor = { > val aggBufferAttributes = mutable.Buffer.empty[AttributeReference] > val initialValues = mutable.Buffer.empty[Expression] > val updateExpressions = mutable.Buffer.empty[Expression] > val evaluateExpressions = mutable.Buffer.fill[Expression](ordinal)(NoOp) > val imperatives = mutable.Buffer.empty[ImperativeAggregate] > // Check if there are any SizeBasedWindowFunctions. If there are, we add > the partition size to > // the aggregation buffer. Note that the ordinal of the partition size > value will always be 0. > val trackPartitionSize = > functions.exists(_.isInstanceOf[SizeBasedWindowFunction]) > if (trackPartitionSize) { > aggBufferAttributes += SizeBasedWindowFunction.n > initialValues += NoOp > updateExpressions += NoOp > } > // Add an AggregateFunction to the AggregateProcessor. > functions.foreach { > case agg: DeclarativeAggregate => > aggBufferAttributes ++= agg.aggBufferAttributes > initialValues ++= agg.initialValues > updateExpressions ++= agg.updateExpressions > evaluateExpressions += agg.evaluateExpression > case agg: ImperativeAggregate => > val offset = aggBufferAttributes.size > val imperative = BindReferences.bindReference(agg > .withNewInputAggBufferOffset(offset) > .withNewMutableAggBufferOffset(offset), > inputAttributes) > imperatives += imperative > aggBufferAttributes ++= imperative.aggBufferAttributes > val noOps = Seq.fill(imperative.aggBufferAttributes.size)(NoOp) > initialValues ++= noOps > updateExpressions ++= noOps > evaluateExpressions += imperative > case other => > sys.error(s"Unsupported Aggregate Function: $other") > } > // Create the projections. > val initialProjection = newMutableProjection( > initialValues, > Seq(SizeBasedWindowFunction.n))() > val updateProjection = newMutableProjection( > updateExpressions, > aggBufferAttributes ++ inputAttributes)() > val evaluateProjection = newMutableProjection( > evaluateExpressions, > aggBufferAttributes)() > // Create the processor > new AggregateProcessor( > aggBufferAttributes.toArray, > initialProjection, > updateProjection, > evaluateProjection, > imperatives.toArray, > trackPartitionSize) > } > {code} > The exception is thrown from > {code} > val evaluateProjection = newMutableProjection( > evaluateExpressions, > aggBufferAttributes)() > {code} > Looks like we are using SizeBasedWindowFunction.n (the attribute of > window_partition_size) generated by driver and executor together. -- 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