hive 动态分区太多问题

最新推荐文章于 2023-08-24 11:23:44 发布

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最新推荐文章于 2023-08-24 11:23:44 发布

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文章标签：大数据 java 数据库

原文链接：https://my.oschina.net/u/2277929/blog/776618

本文探讨了在Hive执行过程中出现的LeaseExpiredException错误，该错误与Hive动态分区有关。通过调整Hive配置参数hive.exec.max.dynamic.partitions和hive.exec.max.dynamic.partitions.pernode可以解决此问题。此外，还分析了可能的原因在于并行任务间的文件冲突。

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hive 执行过程中会报下面的错误

org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.hdfs.server.namenode.LeaseExpiredException): No lease on /tmp/hive/root/_tez_session_dir/a7af1ef7-d029-4ba9-98ac-139b60d39c07/.tez/application_1477555078714_0001/recovery/1/summary (inode 451603): File does not exist. Holder DFSClient_NONMAPREDUCE_1152536667_1 does not have any open files.
	at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkLease(FSNamesystem.java:3521)
	at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.completeFileInternal(FSNamesystem.java:3611)
	at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.completeFile(FSNamesystem.java:3578)
	at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.complete(NameNodeRpcServer.java:905)
	at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.complete(ClientNamenodeProtocolServerSideTranslatorPB.java:544)
	at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
	at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:640)
	at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:982)
	at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2313)
	at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2309)
	at java.security.AccessController.doPrivileged(Native Method)
	at javax.security.auth.Subject.doAs(Subject.java:422)
	at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1724)
	at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2307)

	at org.apache.hadoop.ipc.Client.getRpcResponse(Client.java:1552)
	at org.apache.hadoop.ipc.Client.call(Client.java:1496)
	at org.apache.hadoop.ipc.Client.call(Client.java:1396)
	at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:233)
	at com.sun.proxy.$Proxy12.complete(Unknown Source)
	at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.complete(ClientNamenodeProtocolTranslatorPB.java:501)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	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:278)
	at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:194)
	at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:176)
	at com.sun.proxy.$Proxy13.complete(Unknown Source)
	at org.apache.hadoop.hdfs.DFSOutputStream.completeFile(DFSOutputStream.java:2361)
	at org.apache.hadoop.hdfs.DFSOutputStream.closeImpl(DFSOutputStream.java:2338)
	at org.apache.hadoop.hdfs.DFSOutputStream.close(DFSOutputStream.java:2303)
	at org.apache.hadoop.fs.FSDataOutputStream$PositionCache.close(FSDataOutputStream.java:72)
	at org.apache.hadoop.fs.FSDataOutputStream.close(FSDataOutputStream.java:106)
	at org.apache.tez.dag.history.recovery.RecoveryService.serviceStop(RecoveryService.java:222)
	at org.apache.hadoop.service.AbstractService.stop(AbstractService.java:221)
	at org.apache.hadoop.service.ServiceOperations.stop(ServiceOperations.java:52)
	at org.apache.hadoop.service.ServiceOperations.stopQuietly(ServiceOperations.java:80)
	at org.apache.hadoop.service.CompositeService.stop(CompositeService.java:157)
	at org.apache.hadoop.service.CompositeService.serviceStop(CompositeService.java:131)
	at org.apache.tez.dag.history.HistoryEventHandler.serviceStop(HistoryEventHandler.java:82)
	at org.apache.hadoop.service.AbstractService.stop(AbstractService.java:221)
	at org.apache.hadoop.service.ServiceOperations.stop(ServiceOperations.java:52)
	at org.apache.hadoop.service.ServiceOperations.stopQuietly(ServiceOperations.java:80)
	at org.apache.hadoop.service.ServiceOperations.stopQuietly(ServiceOperations.java:65)
	at org.apache.tez.dag.app.DAGAppMaster.stopServices(DAGAppMaster.java:1768)
	at org.apache.tez.dag.app.DAGAppMaster.serviceStop(DAGAppMaster.java:1949)
	at org.apache.hadoop.service.AbstractService.stop(AbstractService.java:221)
	at org.apache.tez.dag.app.DAGAppMaster$DAGAppMasterShutdownHandler$AMShutdownRunnable.run(DAGAppMaster.java:864)
	at java.lang.Thread.run(Thread.java:745)

网上搜索下，大概是说hive动态分区过大。需要修改如下参数（改大点）

set hive.exec.max.dynamic.partitions=100000;
set hive.exec.max.dynamic.partitions.pernode=100000;

其实本质原因可能是：运行了并行任务时，当一个任务结束时可能会删除掉其他任务的文件。当另一个任务需要获取他的文件时抛出异常。

Does your hive query create parallel MR jobs ? I had the same problem, and found that:LeaseExpiredException: No lease error on HDFS :

When the job ends he deletes /data/work/ folder. If few jobs are running in parallel the deletion will also delete the files of the another job. actually I need to delete /data/work/.

In other words this exception is thrown when the job try to access to files which are not existed anymore

转载于:https://my.oschina.net/u/2277929/blog/776618