Pete Robbins created SPARK-15822:
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Summary: 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=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]
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)
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