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Posted to issues@spark.apache.org by "Kay Ousterhout (JIRA)" <ji...@apache.org> on 2017/01/06 19:29:58 UTC
[jira] [Resolved] (SPARK-3937) Unsafe memory access inside of
Snappy library
[ https://issues.apache.org/jira/browse/SPARK-3937?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Kay Ousterhout resolved SPARK-3937.
-----------------------------------
Resolution: Won't Fix
Closing this due to lack of activity / reports of issues on recent versions of Spark
> Unsafe memory access inside of Snappy library
> ---------------------------------------------
>
> Key: SPARK-3937
> URL: https://issues.apache.org/jira/browse/SPARK-3937
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.2.0, 1.3.0
> Reporter: Patrick Wendell
>
> This was observed on master between Spark 1.1 and 1.2. Unfortunately I don't have much information about this other than the stack trace. However, it was concerning enough I figured I should post it.
> {code}
> java.lang.InternalError: a fault occurred in a recent unsafe memory access operation in compiled Java code
> org.xerial.snappy.SnappyNative.rawUncompress(Native Method)
> org.xerial.snappy.Snappy.rawUncompress(Snappy.java:444)
> org.xerial.snappy.Snappy.uncompress(Snappy.java:480)
> org.xerial.snappy.SnappyInputStream.hasNextChunk(SnappyInputStream.java:355)
> org.xerial.snappy.SnappyInputStream.rawRead(SnappyInputStream.java:159)
> org.xerial.snappy.SnappyInputStream.read(SnappyInputStream.java:142)
> java.io.ObjectInputStream$PeekInputStream.read(ObjectInputStream.java:2310)
> java.io.ObjectInputStream$BlockDataInputStream.read(ObjectInputStream.java:2712)
> java.io.ObjectInputStream$BlockDataInputStream.readFully(ObjectInputStream.java:2742)
> java.io.ObjectInputStream.readArray(ObjectInputStream.java:1687)
> java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1344)
> java.io.ObjectInputStream.readArray(ObjectInputStream.java:1706)
> java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1344)
> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
> java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
> java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
> java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
> org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:62)
> org.apache.spark.serializer.DeserializationStream$$anon$1.getNext(Serializer.scala:133)
> org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:71)
> scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:350)
> org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
> scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> scala.collection.Iterator$$anon$14.hasNext(Iterator.scala:388)
> scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:308)
> scala.collection.Iterator$class.foreach(Iterator.scala:727)
> scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
> scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
> scala.collection.AbstractIterator.to(Iterator.scala:1157)
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
> scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
> scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
> org.apache.spark.sql.execution.Limit$$anonfun$4.apply(basicOperators.scala:140)
> org.apache.spark.sql.execution.Limit$$anonfun$4.apply(basicOperators.scala:140)
> org.apache.spark.SparkContext$$anonfun$runJob$3.apply(SparkContext.scala:1118)
> org.apache.spark.SparkContext$$anonfun$runJob$3.apply(SparkContext.scala:1118)
> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
> org.apache.spark.scheduler.Task.run(Task.scala:56)
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:182)
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> java.lang.Thread.run(Thread.java:745)
> {code}
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