[jira] [Updated] (SPARK-15822) segmentation violation in o.a.s.unsafe.types.UTF8String

2016-06-16 Thread Pete Robbins (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-15822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Pete Robbins updated SPARK-15822:
-
Component/s: SQL

> 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
>  Components: SQL
>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=0x7f4559b4d4bd, 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) @ 0x7f4559b4d4bd [0x7f4559b4d460+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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[jira] [Updated] (SPARK-15822) segmentation violation in o.a.s.unsafe.types.UTF8String

2016-06-10 Thread Pete Robbins (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-15822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Pete Robbins updated SPARK-15822:
-
Description: 
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=0x7f4559b4d4bd, 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) @ 0x7f4559b4d4bd [0x7f4559b4d460+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}

  was:
Executors fail with segmentation violation while running application with
spark.memory.offHeap.enabled true
spark.memory.offHeap.size 512m
{noformat}
#
# A fatal error has been detected by the Java Runtime Environment:
#
#  SIGSEGV (0xb) at pc=0x7f4559b4d4bd, 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) @ 0x7f4559b4d4bd [0x7f4559b4d460+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

[jira] [Updated] (SPARK-15822) segmentation violation in o.a.s.unsafe.types.UTF8String

2016-06-10 Thread Pete Robbins (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-15822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Pete Robbins updated SPARK-15822:
-
Summary: segmentation violation in o.a.s.unsafe.types.UTF8String   (was: 
segmentation violation in o.a.s.unsafe.types.UTF8String with 
spark.memory.offHeap.enabled=true)

> 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
> {noformat}
> #
> # A fatal error has been detected by the Java Runtime Environment:
> #
> #  SIGSEGV (0xb) at pc=0x7f4559b4d4bd, 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) @ 0x7f4559b4d4bd [0x7f4559b4d460+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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[jira] [Updated] (SPARK-15822) segmentation violation in o.a.s.unsafe.types.UTF8String with spark.memory.offHeap.enabled=true

2016-06-10 Thread Reynold Xin (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-15822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Reynold Xin updated SPARK-15822:

Assignee: Herman van Hovell

> segmentation violation in o.a.s.unsafe.types.UTF8String with 
> spark.memory.offHeap.enabled=true
> --
>
> 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
> {noformat}
> #
> # A fatal error has been detected by the Java Runtime Environment:
> #
> #  SIGSEGV (0xb) at pc=0x7f4559b4d4bd, 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) @ 0x7f4559b4d4bd [0x7f4559b4d460+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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[jira] [Updated] (SPARK-15822) segmentation violation in o.a.s.unsafe.types.UTF8String with spark.memory.offHeap.enabled=true

2016-06-09 Thread Herman van Hovell (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-15822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Herman van Hovell updated SPARK-15822:
--
Priority: Blocker  (was: Critical)

> segmentation violation in o.a.s.unsafe.types.UTF8String with 
> spark.memory.offHeap.enabled=true
> --
>
> 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
>Priority: Blocker
>
> Executors fail with segmentation violation while running application with
> spark.memory.offHeap.enabled true
> spark.memory.offHeap.size 512m
> {noformat}
> #
> # A fatal error has been detected by the Java Runtime Environment:
> #
> #  SIGSEGV (0xb) at pc=0x7f4559b4d4bd, 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) @ 0x7f4559b4d4bd [0x7f4559b4d460+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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[jira] [Updated] (SPARK-15822) segmentation violation in o.a.s.unsafe.types.UTF8String with spark.memory.offHeap.enabled=true

2016-06-09 Thread Herman van Hovell (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-15822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Herman van Hovell updated SPARK-15822:
--
Description: 
Executors fail with segmentation violation while running application with
spark.memory.offHeap.enabled true
spark.memory.offHeap.size 512m
{noformat}
#
# A fatal error has been detected by the Java Runtime Environment:
#
#  SIGSEGV (0xb) at pc=0x7f4559b4d4bd, 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) @ 0x7f4559b4d4bd [0x7f4559b4d460+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}

  was:
Executors fail with segmentation violation while running application with
spark.memory.offHeap.enabled true
spark.memory.offHeap.size 512m

#
# A fatal error has been detected by the Java Runtime Environment:
#
#  SIGSEGV (0xb) at pc=0x7f4559b4d4bd, 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) @ 0x7f4559b4d4bd [0x7f4559b4d460+0x5d]

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:

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