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From "Herman van Hovell (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-15822) segmentation violation in o.a.s.unsafe.types.UTF8String
Date Sat, 11 Jun 2016 00:43:21 GMT

    [ https://issues.apache.org/jira/browse/SPARK-15822?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15325567#comment-15325567
] 

Herman van Hovell commented on SPARK-15822:
-------------------------------------------

[~robbinspg] I have tried to reproduce the problem on my side using your code/dataset with
2 workers, but I unfortunately could not reproduce the issue. I do have a few follow-up questions:
* What version of 2.0 are you on (git commit hash)?
* Could you post the plan? I am curious which side on the join is producing these illegal
values.


> segmentation violation in o.a.s.unsafe.types.UTF8String 
> --------------------------------------------------------
>
>                 Key: SPARK-15822
>                 URL: https://issues.apache.org/jira/browse/SPARK-15822
>             Project: Spark
>          Issue Type: Bug
>    Affects Versions: 2.0.0
>         Environment: linux amd64
> openjdk version "1.8.0_91"
> OpenJDK Runtime Environment (build 1.8.0_91-b14)
> OpenJDK 64-Bit Server VM (build 25.91-b14, mixed mode)
>            Reporter: Pete Robbins
>            Assignee: Herman van Hovell
>            Priority: Blocker
>
> Executors fail with segmentation violation while running application with
> spark.memory.offHeap.enabled true
> spark.memory.offHeap.size 512m
> Also now reproduced with 
> spark.memory.offHeap.enabled false
> {noformat}
> #
> # A fatal error has been detected by the Java Runtime Environment:
> #
> #  SIGSEGV (0xb) at pc=0x00007f4559b4d4bd, pid=14182, tid=139935319750400
> #
> # JRE version: OpenJDK Runtime Environment (8.0_91-b14) (build 1.8.0_91-b14)
> # Java VM: OpenJDK 64-Bit Server VM (25.91-b14 mixed mode linux-amd64 compressed oops)
> # Problematic frame:
> # J 4816 C2 org.apache.spark.unsafe.types.UTF8String.compareTo(Lorg/apache/spark/unsafe/types/UTF8String;)I
(64 bytes) @ 0x00007f4559b4d4bd [0x00007f4559b4d460+0x5d]
> {noformat}
> We initially saw this on IBM java on PowerPC box but is recreatable on linux with OpenJDK.
On linux with IBM Java 8 we see a null pointer exception at the same code point:
> {noformat}
> 16/06/08 11:14:58 ERROR Executor: Exception in task 1.0 in stage 5.0 (TID 48)
> java.lang.NullPointerException
> 	at org.apache.spark.unsafe.types.UTF8String.compareTo(UTF8String.java:831)
> 	at org.apache.spark.unsafe.types.UTF8String.compare(UTF8String.java:844)
> 	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.findNextInnerJoinRows$(Unknown
Source)
> 	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$$anonfun$doExecute$2$$anon$2.hasNext(WholeStageCodegenExec.scala:377)
> 	at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
> 	at scala.collection.convert.Wrappers$IteratorWrapper.hasNext(Wrappers.scala:30)
> 	at org.spark_project.guava.collect.Ordering.leastOf(Ordering.java:664)
> 	at org.apache.spark.util.collection.Utils$.takeOrdered(Utils.scala:37)
> 	at org.apache.spark.rdd.RDD$$anonfun$takeOrdered$1$$anonfun$30.apply(RDD.scala:1365)
> 	at org.apache.spark.rdd.RDD$$anonfun$takeOrdered$1$$anonfun$30.apply(RDD.scala:1362)
> 	at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:757)
> 	at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:757)
> 	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> 	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
> 	at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
> 	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
> 	at org.apache.spark.scheduler.Task.run(Task.scala:85)
> 	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1153)
> 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
> 	at java.lang.Thread.run(Thread.java:785)
> {noformat}



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