[jira] [Commented] (SPARK-15822) segmentation violation in o.a.s.unsafe.types.UTF8String with spark.memory.offHeap.enabled=true
[
https://issues.apache.org/jira/browse/SPARK-15822?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15324455#comment-15324455
]
Herman van Hovell commented on SPARK-15822:
---
[~aroberts][~robbinspg] Can you share a reproducible example? Then I can join
the debugging effort on my side.
It would also be great if you could share the generated code for
{{SortMergeJoin}}.
> 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] [Commented] (SPARK-15822) segmentation violation in o.a.s.unsafe.types.UTF8String with spark.memory.offHeap.enabled=true
[
https://issues.apache.org/jira/browse/SPARK-15822?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15324352#comment-15324352
]
Adam Roberts commented on SPARK-15822:
--
The comment for baseOffset which has the corrupt value suggests this is only
used with read and readExternal, this definition exists in a variety of places
but I think the join method in
sql/core/src/main/scala/org/apache/spark/sql/execution/joins/HashedRelation.scala
is what we care about.
HashedRelation's read method looks interesting so I'm going to investigate here
(perhaps this is what Pete will find using Memory Analyzer anyway).
> 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] [Commented] (SPARK-15822) segmentation violation in o.a.s.unsafe.types.UTF8String with spark.memory.offHeap.enabled=true
[
https://issues.apache.org/jira/browse/SPARK-15822?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15324341#comment-15324341
]
Adam Roberts commented on SPARK-15822:
--
Note that this segv happens regardless of spark.memory.offHeap being set and
only with spark-submit (so not --master local[1])
> 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] [Commented] (SPARK-15822) segmentation violation in o.a.s.unsafe.types.UTF8String with spark.memory.offHeap.enabled=true
[
https://issues.apache.org/jira/browse/SPARK-15822?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15324331#comment-15324331
]
Pete Robbins commented on SPARK-15822:
--
I'm still looking into this tracing back through the code using Memory Analyzer
on the core dumps.
Currently on the stack we have the following generated code
{code}
public Object generate(Object[] references) {
return new GeneratedIterator(references);
}
final class GeneratedIterator extends
org.apache.spark.sql.execution.BufferedRowIterator {
private Object[] references;
private boolean sort_needToSort;
private org.apache.spark.sql.execution.SortExec sort_plan;
private org.apache.spark.sql.execution.UnsafeExternalRowSorter sort_sorter;
private org.apache.spark.executor.TaskMetrics sort_metrics;
private scala.collection.Iterator sort_sortedIter;
private boolean agg_initAgg;
private boolean agg_bufIsNull;
private long agg_bufValue;
private org.apache.spark.sql.execution.aggregate.HashAggregateExec agg_plan;
private org.apache.spark.sql.execution.UnsafeFixedWidthAggregationMap
agg_hashMap;
private org.apache.spark.sql.execution.UnsafeKVExternalSorter agg_sorter;
private org.apache.spark.unsafe.KVIterator agg_mapIter;
private org.apache.spark.sql.execution.metric.SQLMetric agg_peakMemory;
private org.apache.spark.sql.execution.metric.SQLMetric agg_spillSize;
private scala.collection.Iterator inputadapter_input;
private UnsafeRow agg_result;
private org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder
agg_holder;
private org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter
agg_rowWriter;
private UnsafeRow agg_result1;
private org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder
agg_holder1;
private org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter
agg_rowWriter1;
private org.apache.spark.sql.execution.metric.SQLMetric sort_numOutputRows;
private org.apache.spark.sql.execution.metric.SQLMetric sort_aggTime;
private org.apache.spark.sql.execution.metric.SQLMetric sort_peakMemory;
private org.apache.spark.sql.execution.metric.SQLMetric sort_spillSize;
private org.apache.spark.sql.execution.metric.SQLMetric sort_sortTime;
public GeneratedIterator(Object[] references) {
this.references = references;
}
public void init(int index, scala.collection.Iterator inputs[]) {
partitionIndex = index;
sort_needToSort = true;
this.sort_plan = (org.apache.spark.sql.execution.SortExec) references[0];
sort_sorter = sort_plan.createSorter();
sort_metrics = org.apache.spark.TaskContext.get().taskMetrics();
agg_initAgg = false;
this.agg_plan = (org.apache.spark.sql.execution.aggregate.HashAggregateExec)
references[1];
this.agg_peakMemory = (org.apache.spark.sql.execution.metric.SQLMetric)
references[2];
this.agg_spillSize = (org.apache.spark.sql.execution.metric.SQLMetric)
references[3];
inputadapter_input = inputs[0];
agg_result = new UnsafeRow(2);
this.agg_holder = new
org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder(agg_result, 64);
this.agg_rowWriter = new
org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter(agg_holder,
2);
agg_result1 = new UnsafeRow(3);
this.agg_holder1 = new
org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder(agg_result1, 64);
this.agg_rowWriter1 = new
org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter(agg_holder1,
3);
this.sort_numOutputRows = (org.apache.spark.sql.execution.metric.SQLMetric)
references[4];
this.sort_aggTime = (org.apache.spark.sql.execution.metric.SQLMetric)
references[5];
this.sort_peakMemory = (org.apache.spark.sql.execution.metric.SQLMetric)
references[6];
this.sort_spillSize = (org.apache.spark.sql.execution.metric.SQLMetric)
references[7];
this.sort_sortTime = (org.apache.spark.sql.execution.metric.SQLMetric)
references[8];
}
private void agg_doAggregateWithKeys() throws java.io.IOException {
agg_hashMap = agg_plan.createHashMap();
while (inputadapter_input.hasNext()) {
InternalRow inputadapter_row = (InternalRow) inputadapter_input.next();
boolean inputadapter_isNull = inputadapter_row.isNullAt(0);
UTF8String inputadapter_value = inputadapter_isNull ? null :
(inputadapter_row.getUTF8String(0));
boolean inputadapter_isNull1 = inputadapter_row.isNullAt(1);
UTF8String inputadapter_value1 = inputadapter_isNull1 ? null :
(inputadapter_row.getUTF8String(1));
long inputadapter_value2 = inputadapter_row.getLong(2);
UnsafeRow agg_unsafeRowAggBuffer = null;
org.apache.spark.sql.execution.vectorized.ColumnarBatch.Row
agg_vectorizedAggBuffer = null;
if (agg_vectorizedAggBuffer == null) {
// generate grouping key
agg_holder.reset();
agg_rowWriter.zeroOutNullBytes();
if (inputadapter_isNull) {
agg_rowWriter.setNullAt(0);
} else {
agg_rowWriter.write(0, inputadapter_value);
}
if (inputadapter_isNull1) {
agg_rowWriter.setNullAt(1);
} else {
agg_rowWriter.write(1, inputadapter_value1);
}
[jira] [Commented] (SPARK-15822) segmentation violation in o.a.s.unsafe.types.UTF8String with spark.memory.offHeap.enabled=true
[
https://issues.apache.org/jira/browse/SPARK-15822?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15323781#comment-15323781
]
Apache Spark commented on SPARK-15822:
--
User 'hvanhovell' has created a pull request for this issue:
https://github.com/apache/spark/pull/13589
> 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] [Commented] (SPARK-15822) segmentation violation in o.a.s.unsafe.types.UTF8String with spark.memory.offHeap.enabled=true
[ https://issues.apache.org/jira/browse/SPARK-15822?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15320380#comment-15320380 ] Pete Robbins commented on SPARK-15822: -- I'm investigating this and will attach the app and config later > 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: Critical > > 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$$anon$11.hasNext(Iterator.scala:408) > at > scala.collection.convert.Wrappers$IteratorWrapper.hasNext(Wrappers.scala:30) > at org.spark_project.guava.collect.Ordering.leastOf(Ordering.java:664) > at org.apache.spark.util.collection.Utils$.takeOrdered(Utils.scala:37) > at > org.apache.spark.rdd.RDD$$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) -- 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
