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Tibor Kiss updated MAPREDUCE-398: --------------------------------- Attachment: hs_err_pid21757.log Here is another way to reproduce the problem. I create a cluster on Amazon EC2 m1.large instances and I try to run a simple distcp from hdfs to hdfs using a relatively small file. I end up in a jvm crash. See the attached hs_err_pid21757.log If I create a cluster of type m1.small instances, then everything it works perfectly. It seems that there is a problem related to 64bit JVM only. I tried to set up export HADOOP_TASKTRACKER_OPTS="-XX:+UseCompressedOops" in /etc/hadoop/conf.dist/hadoop-env.sh (then restarted the nodes) but no luck! > Task process exit with nonzero status of 134. > ----------------------------------------------------- > > Key: MAPREDUCE-398 > URL: https://issues.apache.org/jira/browse/MAPREDUCE-398 > Project: Hadoop Map/Reduce > Issue Type: Bug > Environment: Linux OS, 1 Namenode, 5 Datanode > Reporter: sha feng > Priority: Minor > Attachments: hs_err_pid21757.log > > > During fetcher2 stage, i got these errors on all datanodes. > java.io.IOException: Task process exit with nonzero status of 134. > at org.apache.hadoop.mapred.TaskRunner.run(TaskRunner.java: 424) > When fetching more than 1000000 urls, these errors occur. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.