hadoop - Hadoop 中的数据复制错误

Question

我正在按照 Michael Noll's tutorial 在我的机器上实现 Hadoop 单节点集群并遇到数据复制错误:

完整的错误信息如下:

> hadoop@laptop:~/hadoop$ bin/hadoop dfs -copyFromLocal
> tmp/testfiles testfiles
> 
> 12/05/04 16:18:41 WARN hdfs.DFSClient: DataStreamer Exception:
> org.apache.hadoop.ipc.RemoteException: java.io.IOException: File
> /user/hadoop/testfiles/testfiles/file1.txt could only be replicated to
> 0 nodes, instead of 1   at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:1271)
>     at
> org.apache.hadoop.hdfs.server.namenode.NameNode.addBlock(NameNode.java:422)
>     at sun.reflect.GeneratedMethodAccessor7.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$Server.call(RPC.java:508)     at
> org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:959)     at
> org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:955)     at
> java.security.AccessController.doPrivileged(Native Method)  at
> javax.security.auth.Subject.doAs(Subject.java:396)  at
> org.apache.hadoop.ipc.Server$Handler.run(Server.java:953)
> 
>     at org.apache.hadoop.ipc.Client.call(Client.java:740)   at
> org.apache.hadoop.ipc.RPC$Invoker.invoke(RPC.java:220)  at
> $Proxy0.addBlock(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 $Proxy0.addBlock(Unknown Source)     at
> org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.locateFollowingBlock(DFSClient.java:2937)
>     at
> org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.nextBlockOutputStream(DFSClient.java:2819)
>     at
> org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.access$2000(DFSClient.java:2102)
>     at
> org.apache.hadoop.hdfs.DFSClient$DFSOutputStream$DataStreamer.run(DFSClient.java:2288)
> 
> 12/05/04 16:18:41 WARN hdfs.DFSClient: Error Recovery for block null
> bad datanode[0] nodes == null 12/05/04 16:18:41 WARN hdfs.DFSClient:
> Could not get block locations. Source file
> "/user/hadoop/testfiles/testfiles/file1.txt" - Aborting...
> copyFromLocal: java.io.IOException: File
> /user/hadoop/testfiles/testfiles/file1.txt could only be replicated to
> 0 nodes, instead of 1 12/05/04 16:18:41 ERROR hdfs.DFSClient:
> Exception closing file /user/hadoop/testfiles/testfiles/file1.txt :
> org.apache.hadoop.ipc.RemoteException: java.io.IOException: File
> /user/hadoop/testfiles/testfiles/file1.txt could only be replicated to
> 0 nodes, instead of 1   at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:1271)
>     at
> org.apache.hadoop.hdfs.server.namenode.NameNode.addBlock(NameNode.java:422)
>     at sun.reflect.GeneratedMethodAccessor7.invoke(Unknown Source)  at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
>     at java.lang.reflect.Method.invoke(Method.java:597)     at
> org.apache.hadoop.ipc.RPC$Server.call(RPC.java:508)     at
> org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:959)     at
> org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:955)     at
> java.security.AccessController.doPrivileged(Native Method)  at
> javax.security.auth.Subject.doAs(Subject.java:396)  at
> org.apache.hadoop.ipc.Server$Handler.run(Server.java:953)
> 
> org.apache.hadoop.ipc.RemoteException: java.io.IOException: File
> /user/hadoop/testfiles/testfiles/file1.txt could only be replicated to
> 0 nodes, instead of 1   at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:1271)
>     at
> org.apache.hadoop.hdfs.server.namenode.NameNode.addBlock(NameNode.java:422)
>     at sun.reflect.GeneratedMethodAccessor7.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$Server.call(RPC.java:508)     at
> org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:959)     at
> org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:955)     at
> java.security.AccessController.doPrivileged(Native Method)  at
> javax.security.auth.Subject.doAs(Subject.java:396)  at
> org.apache.hadoop.ipc.Server$Handler.run(Server.java:953)
> 
>     at org.apache.hadoop.ipc.Client.call(Client.java:740)   at
> org.apache.hadoop.ipc.RPC$Invoker.invoke(RPC.java:220)  at
> $Proxy0.addBlock(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 $Proxy0.addBlock(Unknown Source)     at
> org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.locateFollowingBlock(DFSClient.java:2937)
>     at
> org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.nextBlockOutputStream(DFSClient.java:2819)
>     at
> org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.access$2000(DFSClient.java:2102)
>     at
> org.apache.hadoop.hdfs.DFSClient$DFSOutputStream$DataStreamer.run(DFSClient.java:2288)

还有当我执行时:

bin/stop-all.sh

它说datanode还没有启动，因此不能停止。但是，jps 的输出表明数据节点存在。

我试过格式化名称节点、更改所有者权限，但似乎不起作用。希望我没有遗漏任何其他相关信息。

提前致谢。

Answer 1

对我有用的解决方案是使用 bin/start-all.sh 一个接一个地运行 namenode 和 datanode 而不是一起运行。使用这种方法发生的情况是，如果您在网络上设置数据节点时遇到问题，并且 stackoverflow 上的许多帖子表明名称节点需要一些时间来启动，那么错误是清晰可见的，因此，应该给它一些时间来在启动数据节点之前启动。此外，在这种情况下，我遇到了名称节点和数据节点的不同 ID 的问题，为此我不得不更改与名称节点具有相同 ID 的数据节点的 ID。

逐步过程将是:

1. 启动名称节点 bin/hadoop 名称节点。检查错误(如果有)。
2. 启动数据节点bin/hadoop datanode。检查错误(如果有)。
3. 现在使用“bin/start-mapred.sh”启动任务跟踪器、作业跟踪器