I am writing data to hdfs file, also the hdfs dir is a hive partition file dir. 
Hive does not support sub dirs.. for example my partition folder is 
***/dt=20170224/hm=1400  that means I need to write all the data between 1400 
to 1500 to the same folder.

发件人: Charles O. Bajomo [mailto:charles.baj...@pretechconsulting.co.uk]
发送时间: 2017年2月28日 18:04
收件人: 邓刚[产品技术中心]
抄送: user; d...@spark.apache.org
主题: Re: spark append files to the same hdfs dir issue for LeaseExpiredException


I see this problem as well with the _temporary directory but from what I have 
been able to gather, there is no way around it in that situation apart from 
making sure all reducers write to different folders. In the past I partitioned 
by executor id. I don't know if this is the best way though.

Kind Regards

________________________________
From: "Triones,Deng(vip.com)" 
<triones.d...@vipshop.com<mailto:triones.d...@vipshop.com>>
To: "user" <user@spark.apache.org<mailto:user@spark.apache.org>>, 
d...@spark.apache.org<mailto:d...@spark.apache.org>
Sent: Tuesday, 28 February, 2017 09:35:00
Subject: spark append files to the same hdfs dir issue for  
LeaseExpiredException

Hi dev and users

         Now  I am running spark  streaming , (spark version 2.0.2)  to write 
file to hdfs. When my spark.streaming.concurrentJobs  is more than one. Like 20.
I meet the exception as below.

         We know that when the batch finished, there will be a _SUCCESS file.
As I guess my spark application, if one batch is slow, and the another one run 
at the same time,  two spark streaming batch may be try to make use of the 
_SUCCESS file at the same time. So the error as below happened

Anyone knows that whether I am right. Or any suggestions to avoid this problem?



Caused by: 
org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.hdfs.server.namenode.LeaseExpiredException):
 No lease on  ***********/dt=20170224/hm=1400
/_SUCCESS (inode 17483293037): File does not exist. [Lease.  Holder: 
DFSClient_NONMAPREDUCE_******_*****, pendingcreates: 1]
        at 
org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkLease(FSNamesystem.java:3362)
        at 
org.apache.hadoop.hdfs.server.namenode.FSNamesystem.completeFileInternal(FSNamesystem.java:3450)
        at 
org.apache.hadoop.hdfs.server.namenode.FSNamesystem.completeFile(FSNamesystem.java:3420)
        at 
org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.complete(NameNodeRpcServer.java:691)
        at 
org.apache.hadoop.hdfs.server.namenode.AuthorizationProviderProxyClientProtocol.complete(AuthorizationProviderProxyClientProtocol.java:219)
        at 
org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.complete(ClientNamenodeProtocolServerSideTranslatorPB.java:520)
        at 
org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
        at 
org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:587)
        at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1026)
        at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2013)
        at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2009)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:415)
        at 
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1642)
        at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2007)
                   at org.apache.hadoop.ipc.Client.call(Client.java:1410)
        at org.apache.hadoop.ipc.Client.call(Client.java:1363)
        at 
org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:206)
        at com.sun.proxy.$Proxy28.complete(Unknown Source)
        at 
org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.complete(ClientNamenodeProtocolTranslatorPB.java:404)
        at sun.reflect.GeneratedMethodAccessor54.invoke(Unknown Source)
        at 
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at 
org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:190)
        at 
org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:103)
        at com.sun.proxy.$Proxy29.complete(Unknown Source)
        at 
org.apache.hadoop.hdfs.DFSOutputStream.completeFile(DFSOutputStream.java:2116)
        at 
org.apache.hadoop.hdfs.DFSOutputStream.close(DFSOutputStream.java:2100)
        at 
org.apache.hadoop.fs.FSDataOutputStream$PositionCache.close(FSDataOutputStream.java:70)
        at 
org.apache.hadoop.fs.FSDataOutputStream.close(FSDataOutputStream.java:103)
        at 
org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.commitJob(FileOutputCommitter.java:319)
        at 
org.apache.parquet.hadoop.ParquetOutputCommitter.commitJob(ParquetOutputCommitter.java:46)
        at 
org.apache.spark.sql.execution.datasources.BaseWriterContainer.commitJob(WriterContainer.scala:222)
        at 
org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoopFsRelationCommand.scala:144)
        ... 40 more


Thanks

Triones


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if you are not an intended recipient listed above, or an authorized employee or 
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