[ 
https://issues.apache.org/jira/browse/SPARK-17594?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15503666#comment-15503666
 ] 

Virgil Palanciuc commented on SPARK-17594:
------------------------------------------

Sorry. In my defence, I started to submit the bug thinking about the other 
issue (wrong result, not "out-of-bounds-exception"), and I didn't find any 
logged bug about that. 

> 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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