Hello,
We're using CDH3b3 0.20.2 hadoop. In our map reduce jobs we've extended MultipleTextOutputFormat to override checkOutputSpecs() and generateFileNameForKeyValue() returning
relative path based on key. I don't have multiple jobs running with the same output directory. When I rerun it succeeds; a couple of runs later it fails. Here is a log from failed attempts:
attempt 0
java.io.IOException: The temporary job-output directory
hdfs://nn:8000/griffin/prod/_temporary doesn't exist! at
org.apache.hadoop.mapred.FileOutputCommitter.getWorkPath(FileOutputCommitte r.java:
250) at
org.apache.hadoop.mapred.FileOutputFormat.getTaskOutputPath(FileOutputForma t.java:
240) at
org.apache.hadoop.mapred.TextOutputFormat.getRecordWriter(TextOutputFormat. java:
129) at
org.apache.hadoop.mapred.lib.MultipleTextOutputFormat.getBaseRecordWriter(M ultipleTextOutputFormat.java:
47) at org.apache.hadoop.mapred.lib.MultipleOutputFormat
$1.write(MultipleOutputFormat.java:102) at
org.apache.hadoop.mapred.ReduceTask$3.collect(ReduceTask.java:444) at
com.buysight.griffin.UserHistory$MyReducer.reduce(UserHistory.java:
672) at com.buysight.griffin.UserHistory
$MyReducer.reduce(UserHistory.java:148) at
org.apache.hadoop.mapred.ReduceTask.runOldReducer(ReduceTask.java:467)
at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:415) at
org.apache.hadoop.mapred.Child$4.run(Child.java:217) at
java.security.AccessController.doPrivileged(Native Method) at
javax.security.auth.Subject.doAs(Subject.java:396) at
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.j ava:
1063) at org.apache.hadoop.mapred.Child.main(Child.java:211)
attempt 1
org.apache.hadoop.ipc.RemoteException:
org.apache.hadoop.hdfs.server.namenode.LeaseExpiredException: No lease
on /griffin/prod/_temporary/_attempt_201106061713_0045_r_000000_1/
s2_conv/20110530/part-00000.bz2 File does not exist. Holder
DFSClient_attempt_201106061713_0045_r_000000_1 does not have any open
files. at
org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkLease(FSNamesystem .java:
1488) at
org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkLease(FSNamesystem .java:
1479) at
org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNa mesystem.java:
1395) at
org.apache.hadoop.hdfs.server.namenode.NameNode.addBlock(NameNode.java:
588) at sun.reflect.GeneratedMethodAccessor249.invoke(Unknown Source)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImp l.java:
25) at java.lang.reflect.Method.invoke(Method.java:597) at
org.apache.hadoop.ipc.RPC$Server.call(RPC.java:528) at
org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1319) at
org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1315) at
java.security.AccessController.doPrivileged(Native Method) at
javax.security.auth.Subject.doAs(Subject.java:396) at
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.j ava:
1063) at org.apache.hadoop.ipc.Server$Handler.run(Server.java:1313) at
org.apache.hadoop.ipc.Client.call(Client.java:1054) at
org.apache.hadoop.ipc.RPC$Invoker.invoke(RPC.java:226) at
$Proxy1.addBlock(Unknown Source) at
sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:
39) at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImp l.java:
25) at java.lang.reflect.Method.invoke(Method.java:597) at
org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocat ionHandler.java:
82) at
org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHan dler.java:
59) at $Proxy1.addBlock(Unknown Source) at
org.apache.hadoop.hdfs.DFSClient
$DFSOutputStream.locateFollowingBlock(DFSClient.java:3166) at
org.apache.hadoop.hdfs.DFSClient
$DFSOutputStream.nextBlockOutputStream(DFSClient.java:3036) at
org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.access
$1900(DFSClient.java:2288) at org.apache.hadoop.hdfs.DFSClient
$DFSOutputStream$DataStreamer.run(DFSClient.java:2483)
I've tried turning off speculative execution. Still no luck. What gives ?
Thanks,
Madhu
