Google led me to: https://bugs.openjdk.java.net/browse/JDK-8040802
Not sure if the last comment there applies to your deployment. On Sun, Mar 1, 2015 at 8:32 AM, Zalzberg, Idan (Agoda) < idan.zalzb...@agoda.com> wrote: > My run time version is: > > > > java version "1.7.0_75" > > OpenJDK Runtime Environment (rhel-2.5.4.0.el6_6-x86_64 u75-b13) > > OpenJDK 64-Bit Server VM (build 24.75-b04, mixed mode) > > > > Thanks > > > > *From:* Ted Yu [mailto:yuzhih...@gmail.com] > *Sent:* Sunday, March 01, 2015 10:18 PM > *To:* Zalzberg, Idan (Agoda) > *Cc:* user@spark.apache.org > *Subject:* Re: unsafe memory access in spark 1.2.1 > > > > What Java version are you using ? > > > > Thanks > > > > On Sun, Mar 1, 2015 at 7:03 AM, Zalzberg, Idan (Agoda) < > idan.zalzb...@agoda.com> wrote: > > Hi, > > I am using spark 1.2.1, sometimes I get these errors sporadically: > > Any thought on what could be the cause? > > Thanks > > > > 2015-02-27 15:08:47 ERROR SparkUncaughtExceptionHandler:96 - Uncaught > exception in thread Thread[Executor task launch worker-25,5,main] > > java.lang.InternalError: a fault occurred in a recent unsafe memory access > operation in compiled Java code > > at > java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1377) > > at > java.io.ObjectInputStream.readObject(ObjectInputStream.java:370) > > at > org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:62) > > at > org.apache.spark.serializer.DeserializationStream$$anon$1.getNext(Serializer.scala:133) > > at > org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:71) > > at > scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:350) > > at > org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39) > > at > scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) > > at > scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) > > at > scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) > > at > scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) > > at > org.apache.spark.util.collection.ExternalSorter.spillToPartitionFiles(ExternalSorter.scala:365) > > at > org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:211) > > at > org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:63) > > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68) > > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) > > at org.apache.spark.scheduler.Task.run(Task.scala:56) > > at > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:200) > > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) > > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) > > at java.lang.Thread.run(Thread.java:745) > > > > > ------------------------------ > This message is confidential and is for the sole use of the intended > recipient(s). It may also be privileged or otherwise protected by copyright > or other legal rules. If you have received it by mistake please let us know > by reply email and delete it from your system. It is prohibited to copy > this message or disclose its content to anyone. Any confidentiality or > privilege is not waived or lost by any mistaken delivery or unauthorized > disclosure of the message. All messages sent to and from Agoda may be > monitored to ensure compliance with company policies, to protect the > company's interests and to remove potential malware. Electronic messages > may be intercepted, amended, lost or deleted, or contain viruses. > > >