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From Koert Kuipers <ko...@tresata.com>
Subject spark 2 segfault
Date Thu, 28 Apr 2016 18:35:06 GMT
i tried for the first time to run our own in-house unit tests on spark 2,
and i get the error below.
has anyone seen this?

it is reproducible. i tried latest java 7 and it is still there.

# A fatal error has been detected by the Java Runtime Environment:
#
#  SIGSEGV (0xb) at pc=0x00007f7c3a4b1f54, pid=21939, tid=140171011417856
#
# JRE version: Java(TM) SE Runtime Environment (7.0_75-b13) (build
1.7.0_75-b13)
# Java VM: Java HotSpot(TM) 64-Bit Server VM (24.75-b04 mixed mode
linux-amd64 compressed oops)
# Problematic frame:
# V  [libjvm.so+0x747f54]  _Copy_arrayof_conjoint_jlongs+0x44

more info:

Stack: [0x00007f7c1b47e000,0x00007f7c1b57f000],  sp=0x00007f7c1b57a9a8,
free space=1010k
Native frames: (J=compiled Java code, j=interpreted, Vv=VM code, C=native
code)
V  [libjvm.so+0x747f54]  _Copy_arrayof_conjoint_jlongs+0x44
j  sun.misc.Unsafe.copyMemory(Ljava/lang/Object;JLjava/lang/Object;JJ)V+0
j
org.apache.spark.unsafe.Platform.copyMemory(Ljava/lang/Object;JLjava/lang/Object;JJ)V+34
j  org.apache.spark.unsafe.types.UTF8String.getBytes()[B+76
j  org.apache.spark.unsafe.types.UTF8String.toString()Ljava/lang/String;+5
j
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificSafeProjection.apply(Ljava/lang/Object;)Ljava/lang/Object;+876
j
org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.fromRow(Lorg/apache/spark/sql/catalyst/InternalRow;)Ljava/lang/Object;+5
j
org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1$$anonfun$apply$13.apply(Lorg/apache/spark/sql/catalyst/InternalRow;)Ljava/lang/Object;+11
j
org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1$$anonfun$apply$13.apply(Ljava/lang/Object;)Ljava/lang/Object;+5
J 13277 C2
scala.collection.mutable.ArrayOps$ofRef.map(Lscala/Function1;Lscala/collection/generic/CanBuildFrom;)Ljava/lang/Object;
(7 bytes) @ 0x00007f7c25eeae08 [0x00007f7c25eead40+0xc8]
j
org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1.apply()Ljava/lang/Object;+43
j
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(Lorg/apache/spark/sql/SparkSession;Lorg/apache/spark/sql/execution/QueryExecution;Lscala/Function0;)Ljava/lang/Object;+106
j
org.apache.spark.sql.Dataset.withNewExecutionId(Lscala/Function0;)Ljava/lang/Object;+12
j  org.apache.spark.sql.Dataset.org
$apache$spark$sql$Dataset$$execute$1()Ljava/lang/Object;+9
j
org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$collect$1.apply(Lorg/apache/spark/sql/Dataset;)Ljava/lang/Object;+4
j
org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$collect$1.apply(Ljava/lang/Object;)Ljava/lang/Object;+5
j
org.apache.spark.sql.Dataset.withCallback(Ljava/lang/String;Lorg/apache/spark/sql/Dataset;Lscala/Function1;)Ljava/lang/Object;+25
j  org.apache.spark.sql.Dataset.org
$apache$spark$sql$Dataset$$collect(Z)Ljava/lang/Object;+20
j  org.apache.spark.sql.Dataset.collect()Ljava/lang/Object;+2

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