Virgil Palanciuc created SPARK-17594: ----------------------------------------
Summary: Bug in left-outer join Key: SPARK-17594 URL: https://issues.apache.org/jira/browse/SPARK-17594 Project: Spark Issue Type: Bug Components: SQL Affects Versions: 2.0.0 Reporter: Virgil Palanciuc I have a bug where I think a left-join returns wrong results, by mistakenly matching long values that are identical on 32bits (differ in their upper halves). Trying to reproduce it in the console - I get "ArrayIndexOutOfBoundsException" - not identical, but it may be related: {code} scala> val b = Seq(1L, 3L).toDF("x") b: org.apache.spark.sql.DataFrame = [x: bigint] scala> val a = Seq(17179869185L, 17179869186L).toDF("x") a: org.apache.spark.sql.DataFrame = [x: bigint] scala> b.join(a,Seq("x"), "left_outer").show() 16/09/19 16:34:42 ERROR Executor: Exception in task 6.0 in stage 3.0 (TID 15) java.lang.ArrayIndexOutOfBoundsException: 2 at org.apache.spark.sql.execution.joins.LongToUnsafeRowMap.getValue(HashedRelation.scala:463) at org.apache.spark.sql.execution.joins.LongHashedRelation.getValue(HashedRelation.scala:762) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370) at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:246) at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:240) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:784) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:784) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319) at org.apache.spark.rdd.RDD.iterator(RDD.scala:283) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) at org.apache.spark.scheduler.Task.run(Task.scala:85) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) 16/09/19 16:34:42 WARN TaskSetManager: Lost task 6.0 in stage 3.0 (TID 15, localhost): java.lang.ArrayIndexOutOfBoundsException: 2 at org.apache.spark.sql.execution.joins.LongToUnsafeRowMap.getValue(HashedRelation.scala:463) at org.apache.spark.sql.execution.joins.LongHashedRelation.getValue(HashedRelation.scala:762) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370) at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:246) at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:240) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:784) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:784) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319) at org.apache.spark.rdd.RDD.iterator(RDD.scala:283) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) at org.apache.spark.scheduler.Task.run(Task.scala:85) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) 16/09/19 16:34:42 ERROR TaskSetManager: Task 6 in stage 3.0 failed 1 times; aborting job org.apache.spark.SparkException: Job aborted due to stage failure: Task 6 in stage 3.0 failed 1 times, most recent failure: Lost task 6.0 in stage 3.0 (TID 15, localhost): java.lang.ArrayIndexOutOfBoundsException: 2 at org.apache.spark.sql.execution.joins.LongToUnsafeRowMap.getValue(HashedRelation.scala:463) at org.apache.spark.sql.execution.joins.LongHashedRelation.getValue(HashedRelation.scala:762) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370) at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:246) at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:240) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:784) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:784) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319) at org.apache.spark.rdd.RDD.iterator(RDD.scala:283) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) at org.apache.spark.scheduler.Task.run(Task.scala:85) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1450) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1438) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1437) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1437) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811) at scala.Option.foreach(Option.scala:257) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:811) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1659) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1618) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1607) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:632) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1871) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1884) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1897) at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:347) at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:39) at org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1.apply(Dataset.scala:2183) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57) at org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2532) at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$execute$1(Dataset.scala:2182) at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collect(Dataset.scala:2189) at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:1925) at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:1924) at org.apache.spark.sql.Dataset.withTypedCallback(Dataset.scala:2562) at org.apache.spark.sql.Dataset.head(Dataset.scala:1924) at org.apache.spark.sql.Dataset.take(Dataset.scala:2139) at org.apache.spark.sql.Dataset.showString(Dataset.scala:239) at org.apache.spark.sql.Dataset.show(Dataset.scala:526) at org.apache.spark.sql.Dataset.show(Dataset.scala:486) at org.apache.spark.sql.Dataset.show(Dataset.scala:495) ... 48 elided Caused by: java.lang.ArrayIndexOutOfBoundsException: 2 at org.apache.spark.sql.execution.joins.LongToUnsafeRowMap.getValue(HashedRelation.scala:463) at org.apache.spark.sql.execution.joins.LongHashedRelation.getValue(HashedRelation.scala:762) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370) at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:246) at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:240) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:784) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:784) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319) at org.apache.spark.rdd.RDD.iterator(RDD.scala:283) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) at org.apache.spark.scheduler.Task.run(Task.scala:85) at org.apache.spark.executor.Executor$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) {code} My issue may or may not be related with this exception that I've reproduced in the console..... here is what I'm getting in my program: {code} scala> df1.join(df2, 'x1 === 'x2, "left_outer").show() {code} | uuid| x1| x2| y| | 100| 17179869185| 17179869185| -8589934593| | 102| 17179869185| 17179869185| -8589934593| | 101| 17179869186| null| null| | 200| 17179869186| null| null| | 401| 1| 17179869185| -8589934593| | 500| 1| 17179869185| -8589934593| | 600| 8589934593| 17179869185| -8589934593| | 700| 8589934593| 17179869185| -8589934593| | 800| 8589934593| 17179869185| -8589934593| | 900| 8589934594| null| null| |1000| 8589934594| null| null| |1200| 2| null| null| |1300| 2| null| null| |1301| 2| null| null| |1400| 17179869187| 17179869187| -8589934595| |1500| 17179869188| 17179869188| -8589934595| |1600| 8589934595| 17179869187| -8589934595| -- 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