Hadoop Child Error
Contents |
here for a quick overview of the site Help org apache hadoop util diskchecker diskerrorexception could not find any valid local directory for Center Detailed answers to any questions you might have hadoop could not find any valid local directory for output Meta Discuss the workings and policies of this site About Us Learn more about caused by: java.io.ioexception: task process exit with nonzero status of 1. Stack Overflow the company Business Learn more about hiring developers or posting ads with us Stack Overflow Questions Jobs Documentation Tags Users Badges
Hadoop Spill Failed
Ask Question x Dismiss Join the Stack Overflow Community Stack Overflow is a community of 4.7 million programmers, just like you, helping each other. Join them; it only takes a minute: Sign up hadoop mapreduce gives Child Error up vote 1 down vote favorite I am working error java io ioexception spill failed with hadoop 1.2.1 on ubuntu 13.10. I am running the sort problem with the input file size of 25GB. But I am getting error: 14/09/29 12:42:47 INFO mapred.JobClient: map 51% reduce 17% 14/09/29 12:44:08 INFO mapred.JobClient: Task Id : attempt_201409291048_0003_m_000208_0, Status : FAILED java.lang.Throwable: Child Error at org.apache.hadoop.mapred.TaskRunner.run(TaskRunner.java:271) Caused by: java.io.IOException: Task process exit with nonzero status of 1. at org.apache.hadoop.mapred.TaskRunner.run(TaskRunner.java:258) java.lang.Throwable: Child Error at org.apache.hadoop.mapred.TaskRunner.run(TaskRunner.java:271) Caused by: java.io.IOException: Task process exit with nonzero status of 1. at org.apache.hadoop.mapred.TaskRunner.run(TaskRunner.java:258) attempt_201409291048_0003_m_000208_0: OpenJDK 64-Bit Server VM warning: INFO: os::commit_memory(0x00007f4cfbad0000, 1683161088, 0) failed; error='Cannot allocate memory' (errno=12) attempt_201409291048_0003_m_000208_0: # attempt_201409291048_0003_m_000208_0: # There is insufficient memory for the Java Runtime Environment to continue. attempt_201409291048_0003_m_000208_0: # Native memory allocation (malloc) failed to allocate 1683161088 bytes for committing reserved memory. attempt_201409291048_0003_m_000208_0: # An error report file with more information is saved as: attempt_201409291048_0003_m_000208_0: # /tmp/hadoop-hduser/mapred/l
MapReduce job failure with java.io.IOException: Task process exit with nonzero status of137 While working with Amazon EMR, it is possible that you might see an exception as below with your failed map/reduce task: java.lang.Throwable: Child Error at org.apache.hadoop.mapred.TaskRunner.run(TaskRunner.java:271) Caused by: java.io.IOException: Task process exit with nonzero status of 137. at org.apache.hadoop.mapred.TaskRunner.run(TaskRunner.java:258) The Root Cause: The potential problem in this case http://stackoverflow.com/questions/26105128/hadoop-mapreduce-gives-child-error is that, the Hadoop mapper or reducer tasks are killed by Linux OS due to oversubscribing memory. Keen in mind that this issue Linux OOM killer and not the Java OOM Killer. In general such issue occurs when a particular process is configured to use lots more memory https://cloudcelebrity.wordpress.com/2013/08/21/hadoop-mapreduce-job-failure-with-java-io-ioexception-task-process-exit-with-nonzero-status-of-137/ then the OS could provide and due to over memory subscription OS has no other way to kill the process. With Amazon EMR such job failure could happen very easily if use have configured mapred.child.java.opts setting to way high comparative to specific EMR instance type. This is because each EMR instance type has preconfigured setting for Map and Reduce jobs and a misconfiguration could lead to this problem. An Example: For example the EMR Instance type is m1.large which means it has 768 MB memory allocated for each Map or Reduce task in Hadoop job as below: m1.xlarge Parameter Value HADOOP_JOBTRACKER_HEAPSIZE 6912 HADOOP_NAMENODE_HEAPSIZE 2304 HADOOP_TASKTRACKER_HEAPSIZE 384 HADOOP_DATANODE_HEAPSIZE 384 mapred.child.java.opts -Xmx768m mapred.tasktracker.map.tasks.maximum 8 mapred.tasktracker.reduce.tasks.maximum 3 However in the mapred-site.xml if user setup the mapred.child.java.opts to way high value i.e. 8GB as below:
Sign in Pricing Blog Support Search GitHub This repository https://github.com/wbsg/ldif/wiki/Hadoop-troubleshooting Watch 15 Star 30 Fork 10 wbsg/ldif Code Issues 3 Pull requests 2 Projects 0 Wiki Pulse Graphs Hadoop troubleshooting Andrea edited this https://community.mapr.com/thread/8405 page May 29, 2013 · 4 revisions Pages 6 Home Elastic MapReduce Hadoop configuration Hadoop troubleshooting Quadstore Compatibility Setup Clone this wiki could not locally Clone in Desktop Symptoms / Solutions Following are some issues that we have run into while running Hadoop, together with some possible solutions. Symptom Possible Solutions Tasks failing with the following error: java.io.EOFException at java.io.DataInputStream.readShort(DataInputStream.java:298) at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream .createBlockOutputStream(DFSClient.java:3060) at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream .nextBlockOutputStream(DFSClient.java:2983) at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream .access$2000(DFSClient.java:2255) at could not find org.apache.hadoop.hdfs.DFSClient$DFSOutputStream $DataStreamer.run(DFSClient.java:2446) a) Increase the file descriptor limits, by setting ulimit to 8192; b) Increase the upper bound on the number of files that each datanode will serve at any one time, by setting xceivers to 4096. Get the following error while starting a datanode (check [hadoop_home]/logs/hadoop-hduser-datanode-xxx.log): ERROR org.apache.hadoop.hdfs.server.datanode.DataNode: java.io.IOException: Incompatible namespaceIDs Format and restart the cluster Tasks failing with the following error: Too many fetch-failures That could happen in a number of situations, and it’s a bit tricky to debug. Usually it means that a machine wasn’t able to fetch a block from HDFS. Cleanup the etc/hosts could help: - use hostnames instead of ips - sync it across all the nodes - try commenting out “127.0.0.1 localhost” Restart the cluster after making these changes. Get the following error when putting data int
ResourcesDownload MapRTraining OptionsResource LibraryMapR BlogWebinarsMapR DemosDocumentationMapR DocsPatch DirectoryCommunity How-ToLog in0SearchSearchSearchCancelError: You don't have JavaScript enabled. This tool uses JavaScript and much of it will not work correctly without it enabled. Please turn JavaScript back on and reload this page.All Places > Answers > DiscussionsLog in to create and rate content, and to follow, bookmark, and share content with other members.AnsweredAssumed AnsweredNullPointerException - Child ErrorQuestion asked by m_s on Aug 16, 2013Latest reply on Aug 19, 2013 by gera Like • Show 0 Likes0 Comment • 1Trying to process ~500GB data through pig script, while initializing the MR jobs, few jobs are failing with the below error.java.lang.Throwable: Child Error at org.apache.hadoop.mapred.TaskRunner.run(TaskRunner.java:275)Any pointers?java.lang.Throwable: Child Error at org.apache.hadoop.mapred.TaskRunner.run(TaskRunner.java:275)Caused by: java.lang.NullPointerException at org.apache.hadoop.mapred.JvmManager$JvmManagerForType.getDetails(JvmManager.java:436) at org.apache.hadoop.mapred.JvmManager$JvmManagerForType.reapJvm(JvmManager.java:421) at org.apache.hadoop.mapred.JvmManager$JvmManagerForType.access$000(JvmManager.java:209) at org.apache.hadoop.mapred.JvmManager.launchJvm(JvmManager.java:137) at org.apache.hadoop.mapred.TaskRunner.launchJvmAndWait(TaskRunner.java:297) at org.apache.hadoop.mapred.TaskRunner.run(TaskRunner.java:253)No one else has this questionMark as assumed answeredOutcomesVisibility: Answers74 ViewsLast modified on Aug 16, 2013 9:20 AMTags:hiveContent tagged with hivezookeeperContent tagged with zookeeperCategories: AnalyticsProvisioning, Configuration, Monitoring, InstallationThis content has been marked as final. Show 1 comment1 ReplyNameEmail AddressWebsite AddressName(Required)Email Address(Required, will not be published)Website Addressgera Aug 19, 2013 1:13 AMMark CorrectCorrect Answe