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Posted to issues@spark.apache.org by "Virgil Palanciuc (JIRA)" <ji...@apache.org> on 2016/09/19 13:58:20 UTC
[jira] [Commented] (SPARK-17594) Bug in left-outer join
[ https://issues.apache.org/jira/browse/SPARK-17594?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15503564#comment-15503564 ]
Virgil Palanciuc commented on SPARK-17594:
------------------------------------------
FWIW, they may not be related; my program works if I replace "===" with "<=>"; whereas this example doesn't work with "<=>", either. It's still a bug :)
> 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|
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