LeaseExpiredException:HDFS上没有租约错误

Question

我正在尝试将大数据加载到HDFS,我有时会得到以下错误.任何想法为什么？

错误:

org.apache.hadoop.ipc.RemoteException: org.apache.hadoop.hdfs.server.namenode.LeaseExpiredException: No lease on /data/work/20110926-134514/_temporary/_attempt_201109110407_0167_r_000026_0/hbase/site=3815120/day=20110925/107-107-3815120-20110926-134514-r-00026 File does not exist. Holder DFSClient_attempt_201109110407_0167_r_000026_0 does not have any open files.
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkLease(FSNamesystem.java:1557)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkLease(FSNamesystem.java:1548)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.completeFileInternal(FSNamesystem.java:1603)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.completeFile(FSNamesystem.java:1591)
at org.apache.hadoop.hdfs.server.namenode.NameNode.complete(NameNode.java:675)
at sun.reflect.GeneratedMethodAccessor16.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
at java.lang.reflect.Method.invoke(Method.java:597)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:557)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1434)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1430)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:396)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1127)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:1428)

at org.apache.hadoop.ipc.Client.call(Client.java:1107)
at org.apache.hadoop.ipc.RPC$Invoker.invoke(RPC.java:226)
at $Proxy1.complete(Unknown Source)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
at java.lang.reflect.Method.invoke(Method.java:597)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:82)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:59)
at $Proxy1.complete(Unknown Source)
at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.closeInternal(DFSClient.java:3566)
at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.close(DFSClient.java:3481)
at org.apache.hadoop.fs.FSDataOutputStream$PositionCache.close(FSDataOutputStream.java:61)
at org.apache.hadoop.fs.FSDataOutputStream.close(FSDataOutputStream.java:86)
at org.apache.hadoop.io.SequenceFile$Writer.close(SequenceFile.java:966)
at org.apache.hadoop.io.SequenceFile$BlockCompressWriter.close(SequenceFile.java:1297)
at org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat$1.close(SequenceFileOutputFormat.java:78)
at org.apache.hadoop.mapreduce.lib.output.MultipleOutputs$RecordWriterWithCounter.close(MultipleOutputs.java:303)
at org.apache.hadoop.mapreduce.lib.output.MultipleOutputs.close(MultipleOutputs.java:456)
at com.my.hadoop.platform.sortmerger.MergeSortHBaseReducer.cleanup(MergeSortHBaseReducer.java:145)
at org.apache.hadoop.mapreduce.Reducer.run(Reducer.java:178)
at org.apache.hadoop.mapred.ReduceTask.runNewReducer(ReduceTask.java:572)
at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:414)
at org.apache.hadoop.mapred.Child$4.run(Child.java:270)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:396)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1127)
at org.apache.hadoop.mapred.Child.main(Child.java:264)

Answer 1

我设法解决了这个问题:

当作业结束时,他删除/ data/work /文件夹.如果并行运行的作业很少,则删除也将删除另一个作业的文件.实际上我需要删除/ data/work /.

换句话说,当作业尝试访问不再存在的文件时,抛出此异常

Answer 2

当我使用火花流将saveAsHadoopFile保存到Hadoop（2.6.0-cdh5.7.1）时，遇到相同的问题，当然我使用MultipleTextOutputFormat将不同的数据写入不同的路径。有时Zohar所说的例外会发生。正如Matiji66所说：

另一个程序读取，写入和删除此tmp文件导致此错误。

但是他没有谈论的根本原因是Hadoop的投机性：

Hadoop不会尝试诊断和修复运行缓慢的任务，而是尝试检测它们并为其运行备份任务。

因此，真正的原因是，您的任务执行缓慢，然后hadoop运行另一个任务以执行相同的操作（在我的情况下是将数据保存到hadoop上的文件中），当两个任务中的一个任务完成时，它将删除临时文件，另一个完成后，它将删除相同的文件，然后它不存在，因此例外

没有任何打开的文件

发生了

您可以通过关闭spark和hadoop的推测来解决此问题：

sparkConf.set("spark.speculation", "false");
sparkConf.set("spark.hadoop.mapreduce.map.speculative", "false");
sparkConf.set("spark.hadoop.mapreduce.reduce.speculative", "false")