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https://issues.apache.org/jira/browse/SPARK-15822?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15331580#comment-15331580
]
Pete Robbins commented on SPARK-15822:
--------------------------------------
I can also recreate this issue on Oracle JDK 1.8:
{noformat}
#
# A fatal error has been detected by the Java Runtime Environment:
#
# SIGSEGV (0xb) at pc=0x00007f0c65d06aec, pid=7521, tid=0x00007f0b69ffd700
#
# JRE version: Java(TM) SE Runtime Environment (8.0_92-b14) (build 1.8.0_92-b14)
# Java VM: Java HotSpot(TM) 64-Bit Server VM (25.92-b14 mixed mode linux-amd64
compressed oops)
# Problematic frame:
# J 7453 C1 org.apache.spark.unsafe.Platform.getByte(Ljava/lang/Object;J)B (9
bytes) @ 0x00007f0c65d06aec [0x00007f0c65d06ae0+0xc]
#
# Failed to write core dump. Core dumps have been disabled. To enable core
dumping, try "ulimit -c unlimited" before starting Java again
#
# If you would like to submit a bug report, please visit:
# http://bugreport.java.com/bugreport/crash.jsp
#
--------------- T H R E A D ---------------
Current thread (0x00007f0bf4008800): JavaThread "Executor task launch
worker-3" daemon [_thread_in_Java, id=7662,
stack(0x00007f0b69efd000,0x00007f0b69ffe000)]
siginfo: si_signo: 11 (SIGSEGV), si_code: 1 (SEGV_MAPERR), si_addr:
0x0000000002868e54
Registers:
RAX=0x00007f0c461abb38, RBX=0x00007f0c461abb38, RCX=0x00007f0c213547c8,
RDX=0x0000000002868e54
RSP=0x00007f0b69ffba40, RBP=0x00007f0b69ffbae0, RSI=0x0000000000000000,
RDI=0x00000001008254d8
R8 =0x00000000200bd0a6, R9 =0x00000000d9fa2650, R10=0x00007f0c79d39020,
R11=0x00007f0c65d06ae0
R12=0x0000000000000000, R13=0x00007f0b69ffba88, R14=0x00007f0b69ffbaf8,
R15=0x00007f0bf4008800
RIP=0x00007f0c65d06aec, EFLAGS=0x0000000000010202, CSGSFS=0x0000000000000033,
ERR=0x0000000000000004
TRAPNO=0x000000000000000e
Top of Stack: (sp=0x00007f0b69ffba40)
0x00007f0b69ffba40: 00007f0b684b4a70 0000000000000000
0x00007f0b69ffba50: 00007f0b69ffbb10 00007f0c65e96d4c
0x00007f0b69ffba60: 00007f0c65008040 00000000d9fa2628
0x00007f0b69ffba70: 00007f0b69ffbae0 00007f0c650079c0
0x00007f0b69ffba80: 00007f0c650079c0 0000000002868e54
0x00007f0b69ffba90: 0000000000000030 0000000000000000
0x00007f0b69ffbaa0: 00007f0b69ffbaa0 00007f0c21351403
0x00007f0b69ffbab0: 00007f0b69ffbaf8 00007f0c213547c8
0x00007f0b69ffbac0: 0000000000000000 00007f0c21351428
0x00007f0b69ffbad0: 00007f0b69ffba88 00007f0b69ffbaf0
0x00007f0b69ffbae0: 00007f0b69ffbb48 00007f0c650079c0
0x00007f0b69ffbaf0: 0000000000000000 00000000d9f57cf0
0x00007f0b69ffbb00: 000000000000004c 00007f0b69ffbb08
0x00007f0b69ffbb10: 00007f0c21353726 00007f0b69ffbb78
0x00007f0b69ffbb20: 00007f0c213547c8 0000000000000000
0x00007f0b69ffbb30: 00007f0c213537a0 00007f0b69ffbaf0
0x00007f0b69ffbb40: 00007f0b69ffbb70 00007f0b69ffbbc0
0x00007f0b69ffbb50: 00007f0c65007d00 0000000000000000
0x00007f0b69ffbb60: 0000000000000000 0000000000000003
0x00007f0b69ffbb70: 00000000d9f57cf0 00000000d9fa33b0
0x00007f0b69ffbb80: 00007f0b69ffbb80 00007f0c2135385a
0x00007f0b69ffbb90: 00007f0b69ffbbd8 00007f0c213547c8
0x00007f0b69ffbba0: 0000000000000000 00007f0c21353880
0x00007f0b69ffbbb0: 00007f0b69ffbb70 00007f0b69ffbbd0
0x00007f0b69ffbbc0: 00007f0b69ffbc20 00007f0c65007d00
0x00007f0b69ffbbd0: 00000000d9f57cf0 00000000d9fa33b0
0x00007f0b69ffbbe0: 00007f0b69ffbbe0 00007f0b684a24e5
0x00007f0b69ffbbf0: 00007f0b69ffbc88 00007f0b684a2950
0x00007f0b69ffbc00: 0000000000000000 00007f0b684a2618
0x00007f0b69ffbc10: 00007f0b69ffbbd0 00007f0b69ffbc78
0x00007f0b69ffbc20: 00007f0b69ffbcd0 00007f0c65007a90
0x00007f0b69ffbc30: 0000000000000000 0000000000000000
Instructions: (pc=0x00007f0c65d06aec)
0x00007f0c65d06acc: 0a 80 11 64 01 f8 12 fe 06 90 0c 64 01 f8 12 fe
0x00007f0c65d06adc: 06 90 0c 64 89 84 24 00 c0 fe ff 55 48 83 ec 30
0x00007f0c65d06aec: 0f be 04 16 c1 e0 18 c1 f8 18 48 83 c4 30 5d 85
0x00007f0c65d06afc: 05 ff f5 28 14 c3 90 90 49 8b 87 a8 02 00 00 49
Register to memory mapping:
RAX={method} {0x00007f0c461abb38} 'getByte' '(Ljava/lang/Object;J)B' in
'org/apache/spark/unsafe/Platform'
RBX={method} {0x00007f0c461abb38} 'getByte' '(Ljava/lang/Object;J)B' in
'org/apache/spark/unsafe/Platform'
RCX=0x00007f0c213547c8 is pointing into metadata
RDX=0x0000000002868e54 is an unknown value
RSP=0x00007f0b69ffba40 is pointing into the stack for thread: 0x00007f0bf4008800
RBP=0x00007f0b69ffbae0 is pointing into the stack for thread: 0x00007f0bf4008800
RSI=0x0000000000000000 is an unknown value
RDI=0x00000001008254d8 is pointing into metadata
R8 =0x00000000200bd0a6 is an unknown value
R9 =0x00000000d9fa2650 is an oop
[B
- klass: {type array byte}
- length: 48
R10=0x00007f0c79d39020: <offset 0xfbc020> in
/home/robbins/sdks/jdk1.8.0_92/jre/lib/amd64/server/libjvm.so at
0x00007f0c78d7d000
R11=0x00007f0c65d06ae0 is at entry_point+0 in (nmethod*)0x00007f0c65d06990
R12=0x0000000000000000 is an unknown value
R13=0x00007f0b69ffba88 is pointing into the stack for thread: 0x00007f0bf4008800
R14=0x00007f0b69ffbaf8 is pointing into the stack for thread: 0x00007f0bf4008800
R15=0x00007f0bf4008800 is a thread
Stack: [0x00007f0b69efd000,0x00007f0b69ffe000], sp=0x00007f0b69ffba40, free
space=1018k
Native frames: (J=compiled Java code, j=interpreted, Vv=VM code, C=native code)
J 7453 C1 org.apache.spark.unsafe.Platform.getByte(Ljava/lang/Object;J)B (9
bytes) @ 0x00007f0c65d06aec [0x00007f0c65d06ae0+0xc]
j org.apache.spark.unsafe.types.UTF8String.getByte(I)B+11
j
org.apache.spark.unsafe.types.UTF8String.compareTo(Lorg/apache/spark/unsafe/types/UTF8String;)I+30
j
org.apache.spark.unsafe.types.UTF8String.compare(Lorg/apache/spark/unsafe/types/UTF8String;)I+2
j
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.findNextInnerJoinRows$(Lorg/apache/spark/sql/catalyst/expressions/GeneratedClass$GeneratedIterator;Lscala/collection/Iterator;Lscala/collection/Iterator;)Z+141
j
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext()V+410
J 7795 C1 org.apache.spark.sql.execution.BufferedRowIterator.hasNext()Z (30
bytes) @ 0x00007f0c655268d4 [0x00007f0c65526660+0x274]
j
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$doExecute$3$$anon$2.hasNext()Z+4
J 5092 C2 scala.collection.Iterator$$anon$11.hasNext()Z (10 bytes) @
0x00007f0c65c5f904 [0x00007f0c65c5f8a0+0x64]
j scala.collection.convert.Wrappers$IteratorWrapper.hasNext()Z+4
j
org.spark_project.guava.collect.Ordering.leastOf(Ljava/util/Iterator;I)Ljava/util/List;+132
j
org.apache.spark.util.collection.Utils$.takeOrdered(Lscala/collection/Iterator;ILscala/math/Ordering;)Lscala/collection/Iterator;+29
j
org.apache.spark.rdd.RDD$$anonfun$takeOrdered$1$$anonfun$30.apply(Lscala/collection/Iterator;)Lscala/collection/Iterator;+46
j
org.apache.spark.rdd.RDD$$anonfun$takeOrdered$1$$anonfun$30.apply(Ljava/lang/Object;)Ljava/lang/Object;+5
j
org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(Lorg/apache/spark/TaskContext;ILscala/collection/Iterator;)Lscala/collection/Iterator;+5
j
org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(Ljava/lang/Object;Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object;+13
j
org.apache.spark.rdd.MapPartitionsRDD.compute(Lorg/apache/spark/Partition;Lorg/apache/spark/TaskContext;)Lscala/collection/Iterator;+27
j
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(Lorg/apache/spark/Partition;Lorg/apache/spark/TaskContext;)Lscala/collection/Iterator;+26
j
org.apache.spark.rdd.RDD.iterator(Lorg/apache/spark/Partition;Lorg/apache/spark/TaskContext;)Lscala/collection/Iterator;+33
j
org.apache.spark.scheduler.ResultTask.runTask(Lorg/apache/spark/TaskContext;)Ljava/lang/Object;+136
j
org.apache.spark.scheduler.Task.run(JILorg/apache/spark/metrics/MetricsSystem;)Ljava/lang/Object;+82
j org.apache.spark.executor.Executor$TaskRunner.run()V+374
j
java.util.concurrent.ThreadPoolExecutor.runWorker(Ljava/util/concurrent/ThreadPoolExecutor$Worker;)V+95
j java.util.concurrent.ThreadPoolExecutor$Worker.run()V+5
j java.lang.Thread.run()V+11
v ~StubRoutines::call_stub
V [libjvm.so+0x68e746] JavaCalls::call_helper(JavaValue*, methodHandle*,
JavaCallArguments*, Thread*)+0x1056
V [libjvm.so+0x68ec51] JavaCalls::call_virtual(JavaValue*, KlassHandle,
Symbol*, Symbol*, JavaCallArguments*, Thread*)+0x321
V [libjvm.so+0x68f0f7] JavaCalls::call_virtual(JavaValue*, Handle,
KlassHandle, Symbol*, Symbol*, Thread*)+0x47
V [libjvm.so+0x726060] thread_entry(JavaThread*, Thread*)+0xa0
V [libjvm.so+0xa6cc5f] JavaThread::thread_main_inner()+0xdf
V [libjvm.so+0xa6cd8c] JavaThread::run()+0x11c
V [libjvm.so+0x91fad8] java_start(Thread*)+0x108
C [libpthread.so.0+0x7aa1]
{noformat}
> 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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