hadoop2.5.2无法执行wordcount及-put操作

hadoop2.5.2 一个master,两个slave,名字分别为slave1和slave2,master启动后如下:

30784 NameNode
31394 Jps
30972 SecondaryNameNode
31132 ResourceManager

slave1和slave2启动后都为如下
8064 Jps
7943 NodeManager
7834 DataNode

感觉没什么异常,然后我在master上执行 hadoop fs -put README.txt /input
一直不动,最后报错
17/03/09 19:59:11 INFO hdfs.DFSClient: Exception in createBlockOutputStream
java.net.ConnectException: Connection timed out
at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717)
at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206)
at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:529)
at org.apache.hadoop.hdfs.DFSOutputStream.createSocketForPipeline(DFSOutputStream.java:1526)
at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.createBlockOutputStream(DFSOutputStream.java:1328)
at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.nextBlockOutputStream(DFSOutputStream.java:1281)
at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.run(DFSOutputStream.java:526)
17/03/09 19:59:11 INFO hdfs.DFSClient: Abandoning BP-247473795-10.202.15.17-1489054138763:blk_1073741827_1003
17/03/09 19:59:11 INFO hdfs.DFSClient: Excluding datanode 10.202.15.175:50010
17/03/09 20:01:18 INFO hdfs.DFSClient: Exception in createBlockOutputStream
java.net.ConnectException: Connection timed out
at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717)
at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206)
at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:529)
at org.apache.hadoop.hdfs.DFSOutputStream.createSocketForPipeline(DFSOutputStream.java:1526)
at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.createBlockOutputStream(DFSOutputStream.java:1328)
at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.nextBlockOutputStream(DFSOutputStream.java:1281)
at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.run(DFSOutputStream.java:526)
17/03/09 20:01:18 INFO hdfs.DFSClient: Abandoning BP-247473795-10.202.15.17-1489054138763:blk_1073741828_1004
17/03/09 20:01:18 INFO hdfs.DFSClient: Excluding datanode 10.202.15.174:50010
17/03/09 20:01:18 WARN hdfs.DFSClient: DataStreamer Exception
org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /input/README.txt._COPYING_ could only be replicated to 0 nodes instead of minReplication (=1). There are 2 datanode(s) running and 2 node(s) are excluded in this operation.
at org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget(BlockManager.java:1471)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:2791)
at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:606)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:455)
at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:585)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:928)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2013)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2009)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1614)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2007)

at org.apache.hadoop.ipc.Client.call(Client.java:1411)
at org.apache.hadoop.ipc.Client.call(Client.java:1364)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:206)
at com.sun.proxy.$Proxy9.addBlock(Unknown Source)
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:187)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
at com.sun.proxy.$Proxy9.addBlock(Unknown Source)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.addBlock(ClientNamenodeProtocolTranslatorPB.java:368)
at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.locateFollowingBlock(DFSOutputStream.java:1449)
at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.nextBlockOutputStream(DFSOutputStream.java:1270)
at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.run(DFSOutputStream.java:526)

put: File /input/README.txt._COPYING_ could only be replicated to 0 nodes instead of minReplication (=1). There are 2 datanode(s) running and 2 node(s) are excluded in this operation.

所有的机器都已经关闭了防火墙,也多次删除hadoop.tmp.dir dfs.name.dir dfs.data.dir 对应的文件,并且多次hadoop namenode -format,依然如此,但如果我把 hadoop fs -put README.txt /input 放到slave上执行,不会报错,可以复制过去,三台机器都有这个文件,请各位大神帮忙解答,已经困扰我好几天了。

4个回答

@cobramonkey谢谢你的回答,现在问题解决了,原因是公司的网络问题,把相关的端口给封了,打开端口就可以了,谢谢

@苏小喵 没用,根据你这个操作还是会报错

题主的问题,个人认为可以试试这样:提示 /input/README.txt._COPYING_ could only be replicated to 0 nodes instead of minReplication (=1),说明datanode有问题,已被excluded。
可以登录http:本机ip:50070界面中查看Datanode情况,如果这里为空则说明初始化时Datanode是存在问题的,这样虽然jps里有进程但集群里并没有可用的Datanode。或者利用hdfs dfsadmin -report命令检查也可以。如果Datanode缺失,则停止整个集群,之后删除掉你hdfs文件夹下的data、name文件夹下所有内容,清空log日志之后重新初始化hadoop namenode -format再启动集群查看下Datanode的状态,希望有所帮助
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[javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\HadoopPerspectiveFactory.java:26: 错误: 程序包org.eclipse.ui.console不存在 [javac] import org.eclipse.ui.console.IConsoleConstants; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\HadoopPerspectiveFactory.java:34: 错误: 找不到符号 [javac] public class HadoopPerspectiveFactory implements IPerspectiveFactory { [javac] ^ [javac] 符号: 类 IPerspectiveFactory [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\HadoopPerspectiveFactory.java:36: 错误: 找不到符号 [javac] public void createInitialLayout(IPageLayout layout) { [javac] ^ [javac] 符号: 类 IPageLayout [javac] 位置: 类 HadoopPerspectiveFactory [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\ImageLibrary.java:25: 错误: 程序包org.eclipse.core.runtime不存在 [javac] import org.eclipse.core.runtime.FileLocator; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\ImageLibrary.java:26: 错误: 程序包org.eclipse.core.runtime不存在 [javac] import org.eclipse.core.runtime.Path; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\ImageLibrary.java:28: 错误: 程序包org.eclipse.swt.graphics不存在 [javac] import org.eclipse.swt.graphics.Image; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\ImageLibrary.java:29: 错误: 程序包org.eclipse.ui不存在 [javac] import org.eclipse.ui.ISharedImages; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\ImageLibrary.java:30: 错误: 程序包org.eclipse.ui不存在 [javac] import org.eclipse.ui.PlatformUI; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\ImageLibrary.java:31: 错误: 程序包org.eclipse.ui.plugin不存在 [javac] import org.eclipse.ui.plugin.AbstractUIPlugin; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\ImageLibrary.java:46: 错误: 找不到符号 [javac] private ISharedImages sharedImages = [javac] ^ [javac] 符号: 类 ISharedImages [javac] 位置: 类 ImageLibrary [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\ImageLibrary.java:70: 错误: 找不到符号 [javac] public static Image getImage(String name) { [javac] ^ [javac] 符号: 类 Image [javac] 位置: 类 ImageLibrary [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\ImageLibrary.java:95: 错误: 找不到符号 [javac] private Map<String, Image> imageMap = new HashMap<String, Image>(); [javac] ^ [javac] 符号: 类 Image [javac] 位置: 类 ImageLibrary [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\ImageLibrary.java:154: 错误: 找不到符号 [javac] private Image getImageByName(String name) { [javac] ^ [javac] 符号: 类 Image [javac] 位置: 类 ImageLibrary [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\MapReduceNature.java:29: 错误: 程序包org.eclipse.core.resources不存在 [javac] import org.eclipse.core.resources.IProject; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\MapReduceNature.java:30: 错误: 程序包org.eclipse.core.resources不存在 [javac] import org.eclipse.core.resources.IProjectNature; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\MapReduceNature.java:31: 错误: 程序包org.eclipse.core.runtime不存在 [javac] import org.eclipse.core.runtime.CoreException; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\MapReduceNature.java:32: 错误: 程序包org.eclipse.core.runtime不存在 [javac] import org.eclipse.core.runtime.NullProgressMonitor; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\MapReduceNature.java:33: 错误: 程序包org.eclipse.core.runtime不存在 [javac] import org.eclipse.core.runtime.Path; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\MapReduceNature.java:34: 错误: 程序包org.eclipse.core.runtime不存在 [javac] import org.eclipse.core.runtime.QualifiedName; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\MapReduceNature.java:35: 错误: 程序包org.eclipse.jdt.core不存在 [javac] import org.eclipse.jdt.core.IClasspathEntry; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\MapReduceNature.java:36: 错误: 程序包org.eclipse.jdt.core不存在 [javac] import org.eclipse.jdt.core.IJavaProject; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\MapReduceNature.java:37: 错误: 程序包org.eclipse.jdt.core不存在 [javac] import org.eclipse.jdt.core.JavaCore; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\MapReduceNature.java:44: 错误: 找不到符号 [javac] public class MapReduceNature implements IProjectNature { [javac] ^ [javac] 符号: 类 IProjectNature [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\MapReduceNature.java:48: 错误: 找不到符号 [javac] private IProject project; [javac] ^ [javac] 符号: 类 IProject [javac] 位置: 类 MapReduceNature [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\MapReduceNature.java:56: 错误: 找不到符号 [javac] public void configure() throws CoreException { [javac] ^ [javac] 符号: 类 CoreException [javac] 位置: 类 MapReduceNature [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\MapReduceNature.java:130: 错误: 找不到符号 [javac] public void deconfigure() throws CoreException { [javac] ^ [javac] 符号: 类 CoreException [javac] 位置: 类 MapReduceNature [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\MapReduceNature.java:137: 错误: 找不到符号 [javac] public IProject getProject() { [javac] ^ [javac] 符号: 类 IProject [javac] 位置: 类 MapReduceNature [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\MapReduceNature.java:145: 错误: 找不到符号 [javac] public void setProject(IProject project) { [javac] ^ [javac] 符号: 类 IProject [javac] 位置: 类 MapReduceNature [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizard.java:21: 错误: 程序包org.eclipse.core.resources不存在 [javac] import org.eclipse.core.resources.IFile; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizard.java:22: 错误: 程序包org.eclipse.core.runtime不存在 [javac] import org.eclipse.core.runtime.CoreException; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizard.java:23: 错误: 程序包org.eclipse.core.runtime不存在 [javac] import org.eclipse.core.runtime.IProgressMonitor; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizard.java:24: 错误: 程序包org.eclipse.jdt.core不存在 [javac] import org.eclipse.jdt.core.IJavaElement; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizard.java:25: 错误: 程序包org.eclipse.jdt.internal.ui.wizards不存在 [javac] import org.eclipse.jdt.internal.ui.wizards.NewElementWizard; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizard.java:28: 错误: 程序包org.eclipse.ui不存在 [javac] import org.eclipse.ui.INewWizard; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizard.java:29: 错误: 程序包org.eclipse.ui不存在 [javac] import org.eclipse.ui.IWorkbench; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizard.java:36: 错误: 找不到符号 [javac] public class NewDriverWizard extends NewElementWizard implements INewWizard, [javac] ^ [javac] 符号: 类 NewElementWizard [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizard.java:36: 错误: 找不到符号 [javac] public class NewDriverWizard extends NewElementWizard implements INewWizard, [javac] ^ [javac] 符号: 类 INewWizard [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:23: 错误: 程序包org.eclipse.core.runtime不存在 [javac] import org.eclipse.core.runtime.CoreException; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:24: 错误: 程序包org.eclipse.core.runtime不存在 [javac] import org.eclipse.core.runtime.FileLocator; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:25: 错误: 程序包org.eclipse.core.runtime不存在 [javac] import org.eclipse.core.runtime.IProgressMonitor; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:26: 错误: 程序包org.eclipse.core.runtime不存在 [javac] import org.eclipse.core.runtime.IStatus; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:27: 错误: 程序包org.eclipse.core.runtime不存在 [javac] import org.eclipse.core.runtime.Path; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:28: 错误: 程序包org.eclipse.jdt.core不存在 [javac] import org.eclipse.jdt.core.IType; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:29: 错误: 程序包org.eclipse.jdt.core不存在 [javac] import org.eclipse.jdt.core.JavaModelException; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:30: 错误: 程序包org.eclipse.jdt.core.search不存在 [javac] import org.eclipse.jdt.core.search.SearchEngine; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:31: 错误: 程序包org.eclipse.jdt.ui不存在 [javac] import org.eclipse.jdt.ui.IJavaElementSearchConstants; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:32: 错误: 程序包org.eclipse.jdt.ui不存在 [javac] import org.eclipse.jdt.ui.JavaUI; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:33: 错误: 程序包org.eclipse.jdt.ui.wizards不存在 [javac] import org.eclipse.jdt.ui.wizards.NewTypeWizardPage; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:38: 错误: 程序包org.eclipse.swt不存在 [javac] import org.eclipse.swt.SWT; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:39: 错误: 程序包org.eclipse.swt.layout不存在 [javac] import org.eclipse.swt.layout.GridData; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:40: 错误: 程序包org.eclipse.swt.layout不存在 [javac] import org.eclipse.swt.layout.GridLayout; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:41: 错误: 程序包org.eclipse.swt.widgets不存在 [javac] import org.eclipse.swt.widgets.Button; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:42: 错误: 程序包org.eclipse.swt.widgets不存在 [javac] import org.eclipse.swt.widgets.Composite; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:43: 错误: 程序包org.eclipse.swt.widgets不存在 [javac] import org.eclipse.swt.widgets.Event; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:44: 错误: 程序包org.eclipse.swt.widgets不存在 [javac] import org.eclipse.swt.widgets.Label; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:45: 错误: 程序包org.eclipse.swt.widgets不存在 [javac] import org.eclipse.swt.widgets.Listener; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:46: 错误: 程序包org.eclipse.swt.widgets不存在 [javac] import org.eclipse.swt.widgets.Text; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:47: 错误: 程序包org.eclipse.ui.dialogs不存在 [javac] import org.eclipse.ui.dialogs.SelectionDialog; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:54: 错误: 找不到符号 [javac] public class NewDriverWizardPage extends NewTypeWizardPage { [javac] ^ [javac] 符号: 类 NewTypeWizardPage [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizard.java:43: 错误: 找不到符号 [javac] public void run(IProgressMonitor monitor) { [javac] ^ [javac] 符号: 类 IProgressMonitor [javac] 位置: 类 NewDriverWizard [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizard.java:60: 错误: 找不到符号 [javac] public void init(IWorkbench workbench, IStructuredSelection selection) { [javac] ^ [javac] 符号: 类 IWorkbench [javac] 位置: 类 NewDriverWizard [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizard.java:90: 错误: 找不到符号 [javac] protected void finishPage(IProgressMonitor monitor) [javac] ^ [javac] 符号: 类 IProgressMonitor [javac] 位置: 类 NewDriverWizard [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizard.java:91: 错误: 找不到符号 [javac] throws InterruptedException, CoreException { [javac] ^ [javac] 符号: 类 CoreException [javac] 位置: 类 NewDriverWizard [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizard.java:96: 错误: 找不到符号 [javac] public IJavaElement getCreatedElement() { [javac] ^ [javac] 符号: 类 IJavaElement [javac] 位置: 类 NewDriverWizard [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:55: 错误: 找不到符号 [javac] private Button isCreateMapMethod; [javac] ^ [javac] 符号: 类 Button [javac] 位置: 类 NewDriverWizardPage [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:57: 错误: 找不到符号 [javac] private Text reducerText; [javac] ^ [javac] 符号: 类 Text [javac] 位置: 类 NewDriverWizardPage [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:59: 错误: 找不到符号 [javac] private Text mapperText; [javac] ^ [javac] 符号: 类 Text [javac] 位置: 类 NewDriverWizardPage [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:85: 错误: 找不到符号 [javac] public void createType(IProgressMonitor monitor) throws CoreException, [javac] ^ [javac] 符号: 类 IProgressMonitor [javac] 位置: 类 NewDriverWizardPage [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:85: 错误: 找不到符号 [javac] public void createType(IProgressMonitor monitor) throws CoreException, [javac] ^ [javac] 符号: 类 CoreException [javac] 位置: 类 NewDriverWizardPage [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:91: 错误: 找不到符号 [javac] protected void createTypeMembers(final IType newType, ImportsManager imports, [javac] ^ [javac] 符号: 类 IType [javac] 位置: 类 NewDriverWizardPage [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:91: 错误: 找不到符号 [javac] protected void createTypeMembers(final IType newType, ImportsManager imports, [javac] ^ [javac] 符号: 类 ImportsManager [javac] 位置: 类 NewDriverWizardPage [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:92: 错误: 找不到符号 [javac] final IProgressMonitor monitor) throws CoreException { [javac] ^ [javac] 符号: 类 IProgressMonitor [javac] 位置: 类 NewDriverWizardPage [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:92: 错误: 找不到符号 [javac] final IProgressMonitor monitor) throws CoreException { [javac] ^ [javac] 符号: 类 CoreException [javac] 位置: 类 NewDriverWizardPage [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:145: 错误: 找不到符号 [javac] public void createControl(Composite parent) { [javac] ^ [javac] 符号: 类 Composite [javac] 位置: 类 NewDriverWizardPage [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:199: 错误: 找不到符号 [javac] private void createMapperControls(Composite composite) { [javac] ^ [javac] 符号: 类 Composite [javac] 位置: 类 NewDriverWizardPage [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:204: 错误: 找不到符号 [javac] private void createReducerControls(Composite composite) { [javac] ^ [javac] 符号: 类 Composite [javac] 位置: 类 NewDriverWizardPage [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:209: 错误: 找不到符号 [javac] private Text createBrowseClassControl(final Composite composite, [javac] ^ [javac] 符号: 类 Composite [javac] 位置: 类 NewDriverWizardPage [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewDriverWizardPage.java:209: 错误: 找不到符号 [javac] private Text createBrowseClassControl(final Composite composite, [javac] ^ [javac] 符号: 类 Text [javac] 位置: 类 NewDriverWizardPage [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewMapReduceProjectWizard.java:29: 错误: 程序包org.eclipse.core.resources不存在 [javac] import org.eclipse.core.resources.IProject; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewMapReduceProjectWizard.java:30: 错误: 程序包org.eclipse.core.resources不存在 [javac] import org.eclipse.core.resources.IProjectDescription; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewMapReduceProjectWizard.java:31: 错误: 程序包org.eclipse.core.resources不存在 [javac] import org.eclipse.core.resources.ResourcesPlugin; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewMapReduceProjectWizard.java:32: 错误: 程序包org.eclipse.core.runtime不存在 [javac] import org.eclipse.core.runtime.CoreException; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewMapReduceProjectWizard.java:33: 错误: 程序包org.eclipse.core.runtime不存在 [javac] import org.eclipse.core.runtime.IConfigurationElement; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewMapReduceProjectWizard.java:34: 错误: 程序包org.eclipse.core.runtime不存在 [javac] import org.eclipse.core.runtime.IExecutableExtension; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewMapReduceProjectWizard.java:36: 错误: 程序包org.eclipse.core.runtime不存在 [javac] import org.eclipse.core.runtime.NullProgressMonitor; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewMapReduceProjectWizard.java:37: 错误: 程序包org.eclipse.core.runtime不存在 [javac] import org.eclipse.core.runtime.Path; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewMapReduceProjectWizard.java:38: 错误: 程序包org.eclipse.core.runtime不存在 [javac] import org.eclipse.core.runtime.QualifiedName; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewMapReduceProjectWizard.java:39: 错误: 程序包org.eclipse.core.runtime不存在 [javac] import org.eclipse.core.runtime.SubProgressMonitor; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewMapReduceProjectWizard.java:40: 错误: 程序包org.eclipse.jdt.ui.wizards不存在 [javac] import org.eclipse.jdt.ui.wizards.NewJavaProjectWizardPage; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewMapReduceProjectWizard.java:49: 错误: 程序包org.eclipse.swt不存在 [javac] import org.eclipse.swt.SWT; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewMapReduceProjectWizard.java:50: 错误: 程序包org.eclipse.swt.events不存在 [javac] import org.eclipse.swt.events.SelectionEvent; [javac] ^ [javac] D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\NewMapReduceProjectWizard.java:51: 错误: 程序包org.eclipse.swt.events不存在 [javac] import org.eclipse.swt.events.SelectionListener; [javac] ^ [javac] 注: D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\dfs\DFSFolder.java使用或覆盖了已过时的 API。 [javac] 注: 有关详细信息, 请使用 -Xlint:deprecation 重新编译。 [javac] 注: D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\src\java\org\apache\hadoop\eclipse\actions\DFSActionImpl.java使用了未经检查或不安全的操作。 [javac] 注: 有关详细信息, 请使用 -Xlint:unchecked 重新编译。 [javac] 注: 某些消息已经过简化; 请使用 -Xdiags:verbose 重新编译以获得完整输出 [javac] 100 个错误 BUILD FAILED D:\hadoop2x-eclipse-plugin-master-master\hadoop2x-eclipse-plugin-master-master\src\contrib\eclipse-plugin\build.xml:76: Compile failed; see the compiler error output for details. Total time: 4 seconds ```

用eclipse连接虚拟机hadoop集群执行MapReduce程序,但是报以下错误,请问如何解决?

# 说明:eclipse中关于hadoop的各项advanced parameter参数均已按配置文件进行配置。但在执行过程中还是报如下错误,请问如何解决。 # 执行日志: 2018-09-22 22:59:11,429 INFO [org.apache.commons.beanutils.FluentPropertyBeanIntrospector] - Error when creating PropertyDescriptor for public final void org.apache.commons.configuration2.AbstractConfiguration.setProperty(java.lang.String,java.lang.Object)! Ignoring this property. 2018-09-22 22:59:11,443 WARN [org.apache.hadoop.metrics2.impl.MetricsConfig] - Cannot locate configuration: tried hadoop-metrics2-jobtracker.properties,hadoop-metrics2.properties 2018-09-22 22:59:11,496 INFO [org.apache.hadoop.metrics2.impl.MetricsSystemImpl] - Scheduled Metric snapshot period at 10 second(s). 2018-09-22 22:59:11,496 INFO [org.apache.hadoop.metrics2.impl.MetricsSystemImpl] - JobTracker metrics system started 2018-09-22 22:59:20,863 WARN [org.apache.hadoop.mapreduce.JobResourceUploader] - Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this. 2018-09-22 22:59:20,879 WARN [org.apache.hadoop.mapreduce.JobResourceUploader] - No job jar file set. User classes may not be found. See Job or Job#setJar(String). 2018-09-22 22:59:20,928 INFO [org.apache.hadoop.mapreduce.lib.input.FileInputFormat] - Total input files to process : 1 2018-09-22 22:59:20,984 INFO [org.apache.hadoop.mapreduce.JobSubmitter] - number of splits:1 2018-09-22 22:59:21,072 INFO [org.apache.hadoop.mapreduce.JobSubmitter] - Submitting tokens for job: job_local1513265977_0001 2018-09-22 22:59:21,074 INFO [org.apache.hadoop.mapreduce.JobSubmitter] - Executing with tokens: [] 2018-09-22 22:59:21,950 INFO [org.apache.hadoop.mapred.LocalDistributedCacheManager] - Creating symlink: \tmp\hadoop-启政先生\mapred\local\1537628361150\movies.csv <- G:\java_workspace\MapReduce_DEMO/movies.csv 2018-09-22 22:59:21,995 WARN [org.apache.hadoop.fs.FileUtil] - Command 'E:\hadoop-3.0.0\bin\winutils.exe symlink G:\java_workspace\MapReduce_DEMO\movies.csv \tmp\hadoop-启政先生\mapred\local\1537628361150\movies.csv' failed 1 with: CreateSymbolicLink error (1314): ??????????? 2018-09-22 22:59:21,995 WARN [org.apache.hadoop.mapred.LocalDistributedCacheManager] - Failed to create symlink: \tmp\hadoop-启政先生\mapred\local\1537628361150\movies.csv <- G:\java_workspace\MapReduce_DEMO/movies.csv 2018-09-22 22:59:21,996 INFO [org.apache.hadoop.mapred.LocalDistributedCacheManager] - Localized hdfs://192.168.5.110:9000/temp/input/movies.csv as file:/tmp/hadoop-启政先生/mapred/local/1537628361150/movies.csv 2018-09-22 22:59:22,046 INFO [org.apache.hadoop.mapreduce.Job] - The url to track the job: http://localhost:8080/ 2018-09-22 22:59:22,047 INFO [org.apache.hadoop.mapreduce.Job] - Running job: job_local1513265977_0001 2018-09-22 22:59:22,047 INFO [org.apache.hadoop.mapred.LocalJobRunner] - OutputCommitter set in config null 2018-09-22 22:59:22,051 INFO [org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter] - File Output Committer Algorithm version is 2 2018-09-22 22:59:22,051 INFO [org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter] - FileOutputCommitter skip cleanup _temporary folders under output directory:false, ignore cleanup failures: false 2018-09-22 22:59:22,052 INFO [org.apache.hadoop.mapred.LocalJobRunner] - OutputCommitter is org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter 2018-09-22 22:59:22,100 INFO [org.apache.hadoop.mapred.LocalJobRunner] - Waiting for map tasks 2018-09-22 22:59:22,101 INFO [org.apache.hadoop.mapred.LocalJobRunner] - Starting task: attempt_local1513265977_0001_m_000000_0 2018-09-22 22:59:22,120 INFO [org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter] - File Output Committer Algorithm version is 2 2018-09-22 22:59:22,120 INFO [org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter] - FileOutputCommitter skip cleanup _temporary folders under output directory:false, ignore cleanup failures: false 2018-09-22 22:59:22,128 INFO [org.apache.hadoop.yarn.util.ProcfsBasedProcessTree] - ProcfsBasedProcessTree currently is supported only on Linux. 2018-09-22 22:59:22,169 INFO [org.apache.hadoop.mapred.Task] - Using ResourceCalculatorProcessTree : org.apache.hadoop.yarn.util.WindowsBasedProcessTree@7ef907ef 2018-09-22 22:59:22,172 INFO [org.apache.hadoop.mapred.MapTask] - Processing split: hdfs://192.168.5.110:9000/temp/input/ratings.csv:0+2438233 ----------cachePath=/temp/input/movies.csv---------- 2018-09-22 22:59:22,226 INFO [org.apache.hadoop.mapred.LocalJobRunner] - map task executor complete. 2018-09-22 22:59:22,233 WARN [org.apache.hadoop.mapred.LocalJobRunner] - job_local1513265977_0001 java.lang.Exception: java.io.FileNotFoundException: \temp\input\movies.csv (系统找不到指定的路径。) at org.apache.hadoop.mapred.LocalJobRunner$Job.runTasks(LocalJobRunner.java:492) at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:552) Caused by: java.io.FileNotFoundException: \temp\input\movies.csv (系统找不到指定的路径。) at java.io.FileInputStream.open0(Native Method) at java.io.FileInputStream.open(Unknown Source) at java.io.FileInputStream.<init>(Unknown Source) at java.io.FileInputStream.<init>(Unknown Source) at java.io.FileReader.<init>(Unknown Source) at MovieJoinExercise1.MovieJoin$MovieJoinMapper.setup(MovieJoin.java:79) at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:143) at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:794) at org.apache.hadoop.mapred.MapTask.run(MapTask.java:342) at org.apache.hadoop.mapred.LocalJobRunner$Job$MapTaskRunnable.run(LocalJobRunner.java:271) at java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source) at java.util.concurrent.FutureTask.run(Unknown Source) at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.lang.Thread.run(Unknown Source) 2018-09-22 22:59:23,051 INFO [org.apache.hadoop.mapreduce.Job] - Job job_local1513265977_0001 running in uber mode : false 2018-09-22 22:59:23,052 INFO [org.apache.hadoop.mapreduce.Job] - map 0% reduce 0% 2018-09-22 22:59:23,053 INFO [org.apache.hadoop.mapreduce.Job] - Job job_local1513265977_0001 failed with state FAILED due to: NA 2018-09-22 22:59:23,058 INFO [org.apache.hadoop.mapreduce.Job] - Counters: 0

windwos平台搭建hadoop单点测试wordcount出错

![图片说明](https://img-ask.csdn.net/upload/201801/17/1516163926_549558.png) datanode namenode nodemanager resourcemanager 正常启动 执行hadoop jar hadoop-mapreduce-examples-2.8.3.jar wordcount /input/test.txt /output 后出现如上错误

诡异的Hadoop启动脚本

**跟踪start-dfs.sh脚本启动时,发现极其诡异的一点,如下:** --- Hadoop版本: Apache Hadoop2.6.5 --- **1、start-dfs.sh** start-dfs.sh中有这样语句: ``` "$HADOOP_PREFIX/sbin/hadoop-daemons.sh" \ --config "$HADOOP_CONF_DIR" \ --hostnames "$NAMENODES" \ --script "$bin/hdfs" start namenode $nameStartOpt ``` 对应执行命令为 ``` hadoop-daemons.sh --config "$HADOOP_CONF_DIR" --hostnames "$NAMENODES" --script "$bin/hdfs" start namenode $nameStartOpt ``` 跟踪到hadoop-daemons.sh --- **2、hadoop-daemons.sh** ``` exec "$bin/slaves.sh" --config $HADOOP_CONF_DIR cd "$HADOOP_PREFIX" \; "$bin/hadoop-daemon.sh" --config $HADOOP_CONF_DIR "$@" ``` 接着执行到这里,最后执行 ``` "$bin/hadoop-daemon.sh" --config $HADOOP_CONF_DIR "$@" ``` 这里的"$@" 为我理解为从[start-dfs.sh]中传过来的 ``` --config "$HADOOP_CONF_DIR" --hostnames "$NAMENODES" --script "$bin/hdfs" start namenode $nameStartOpt ``` 这么一大串参数。 接着跟踪,执行到hadoop-daemon.sh脚本 --- **3、hadoop-daemon.sh** ``` hadoopScript="$HADOOP_PREFIX"/bin/hadoop if [ "--script" = "$1" ] then shift hadoopScript=$1 shift fi startStop=$1 shift command=$1 shift ``` 前后都没有进行过 shift 操作。 这里比较 ``` $1="--script" ``` 是啥意思? 从hadoop-daemons.sh传入到此脚本的参数难道不是应该为 ``` --config "$HADOOP_CONF_DIR" --config "$HADOOP_CONF_DIR" --hostnames "$NAMENODES" --script "$bin/hdfs" start namenode $nameStartOpt ``` 这几个参数吗? 为什么上面的处理过程好像传入的只有 ``` --script "$bin/hdfs" start namenode $nameStartOpt ``` 这个参数? 实在是搞不懂。

hadoop2.5.2 mapreduce作业失败

``` 16/06/14 03:26:45 INFO client.RMProxy: Connecting to ResourceManager at centos1/192.168.6.132:8032 16/06/14 03:26:47 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this. 16/06/14 03:26:47 INFO input.FileInputFormat: Total input paths to process : 1 16/06/14 03:26:48 INFO mapreduce.JobSubmitter: number of splits:1 16/06/14 03:26:48 INFO Configuration.deprecation: mapred.job.tracker is deprecated. Instead, use mapreduce.jobtracker.address 16/06/14 03:26:48 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1465885546873_0002 16/06/14 03:26:49 INFO impl.YarnClientImpl: Submitted application application_1465885546873_0002 16/06/14 03:26:49 INFO mapreduce.Job: The url to track the job: http://centos1:8088/proxy/application_1465885546873_0002/ 16/06/14 03:26:49 INFO mapreduce.Job: Running job: job_1465885546873_0002 16/06/14 03:27:10 INFO mapreduce.Job: Job job_1465885546873_0002 running in uber mode : false 16/06/14 03:27:10 INFO mapreduce.Job: map 0% reduce 0% 16/06/14 03:27:10 INFO mapreduce.Job: Job job_1465885546873_0002 failed with state FAILED due to: Application application_1465885546873_0002 failed 2 times due to Error launching appattempt_1465885546873_0002_000002. Got exception: java.net.ConnectException: Call From local.localdomain/127.0.0.1 to local:50334 failed on connection exception: java.net.ConnectException: Connection refused; For more details see: http://wiki.apache.org/hadoop/ConnectionRefused at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62) at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) at java.lang.reflect.Constructor.newInstance(Constructor.java:423) at org.apache.hadoop.net.NetUtils.wrapWithMessage(NetUtils.java:783) at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:730) at org.apache.hadoop.ipc.Client.call(Client.java:1415) at org.apache.hadoop.ipc.Client.call(Client.java:1364) at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:206) at com.sun.proxy.$Proxy32.startContainers(Unknown Source) at org.apache.hadoop.yarn.api.impl.pb.client.ContainerManagementProtocolPBClientImpl.startContainers(ContainerManagementProtocolPBClientImpl.java:96) at org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher.launch(AMLauncher.java:118) at org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher.run(AMLauncher.java:249) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) ``` 然后错误日志如下 ``` 2016-06-14 03:26:49,936 INFO org.apache.hadoop.yarn.server.resourcemanager.amlaucher.AMLauncher: Setting up container Container: [ContainerId: container_1465885546873_0002_01_000001, NodeId: local:42709, NodeHttpAddress: local:8042, Resource: <memory:2048, vCores:1>, Priority: 0, Token: Token { kind: ContainerToken, service: 127.0.0.1:42709 }, ] for AM appattempt_1465885546873_0002_000001 2016-06-14 03:26:49,936 INFO org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher: Command to launch container container_1465885546873_0002_01_000001 : $JAVA_HOME/bin/java -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=<LOG_DIR> -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA -Xmx1024m org.apache.hadoop.mapreduce.v2.app.MRAppMaster 1><LOG_DIR>/stdout 2><LOG_DIR>/stderr 2016-06-14 03:26:50,948 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 0 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS) 2016-06-14 03:26:51,950 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 1 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS) 2016-06-14 03:26:52,951 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 2 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS) 2016-06-14 03:26:53,952 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 3 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS) 2016-06-14 03:26:54,953 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 4 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS) 2016-06-14 03:26:55,954 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 5 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS) 2016-06-14 03:26:56,956 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 6 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS) 2016-06-14 03:26:57,957 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 7 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS) 2016-06-14 03:26:58,959 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 8 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS) 2016-06-14 03:26:59,960 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: local/127.0.0.1:42709. Already tried 9 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS) 2016-06-14 03:26:59,962 INFO org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher: Error launching appattempt_1465885546873_0002_000001. Got exception: java.net.ConnectException: Call From local.localdomain/127.0.0.1 to local:42709 failed on connection exception: java.net.ConnectException: Connection refused; For more details see: http://wiki.apache.org/hadoop/ConnectionRefused at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62) at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) at java.lang.reflect.Constructor.newInstance(Constructor.java:423) ``` core-site.xml如下 ``` <configuration> <property> <name>ha.zookeeper.quorum</name> <value>centos1:2181,centos2:2181,centos3:2181</value> </property> <property> <name>hadoop.tmp.dir</name> <value>/opt/hadoop2.5</value> </property> <property> <name>fs.defaultFS</name> <value>hdfs://mycluster</value> </property> </configuration> ``` hdfs-site.xml如下 ``` <configuration> <property> <name>dfs.nameservices</name> <value>mycluster</value> </property> <property> <name>dfs.ha.namenodes.mycluster</name> <value>centos1,centos2</value> </property> <property> <name>dfs.namenode.rpc-address.mycluster.centos1</name> <value>centos1:8020</value> </property> <property> <name>dfs.namenode.rpc-address.mycluster.centos2</name> <value>centos2:8020</value> </property> <property> <name>dfs.namenode.http-address.mycluster.centos1</name> <value>centos1:50070</value> </property> <property> <name>dfs.namenode.http-address.mycluster.centos2</name> <value>centos2:50070</value> </property> <property> <name>dfs.namenode.shared.edits.dir</name> <value>qjournal://centos2:8485;centos3:8485;centos4:8485/mycluster</value> </property> <property> <name>dfs.client.failover.proxy.provider.mycluster</name> <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value> </property> <property> <name>dfs.ha.fencing.methods</name> <value>sshfence</value> </property> <property> <name>dfs.ha.fencing.ssh.private-key-files</name> <value>/root/.ssh/id_dsa</value> </property> <property> <name>dfs.journalnode.edits.dir</name> <value>/home/hadoop-data</value> </property> <property> <name>dfs.ha.automatic-failover.enabled</name> <value>true</value> </property> </configuration> ``` yarn-site.xml如下 ``` <configuration> <property> <name>yarn.nodemanager.aux-services</name> <value>mapreduce_shuffle</value> </property> <property> <name>yarn.nodemanager.aux-services.mapreduce_shuffle.class</name> <value>org.apache.hadoop.mapred.ShuffleHandler</value> </property> <property> <name>yarn.resourcemanager.hostname</name> <value>centos1</value> </property> <property> <name>yarn.resourcemanager.address</name> <value>centos1:8032</value> </property> <property> <name>yarn.resourcemanager.admin.address</name> <value>centos1:8033</value> </property> </configuration> ``` mapred-site.xml如下 ``` <configuration> <property> <name>mapreduce.framework.name</name> <value>yarn</value> </property> </configuration> ``` slaves如下 ``` centos2 centos3 centos4 ``` hosts如下 ``` 127.0.0.1 local local.localdomain localhost4 localhost4.localdomain4 ::1 localhost localhost.localdomain localhost6 localhost6.localdomain6 192.168.6.132 centos1 192.168.6.133 centos2 192.168.6.134 centos3 192.168.6.135 centos4 ```

hadoop集群,hdfs dfs -ls / 目录出错

搭建了一个hadoop集群,用hdfs dfs -ls /命令,列出的是本地系统的根目录。 用hdfs dfs -ls hdfs://servicename/ 列出的目录才是hdfs上的目录,可能是什么原因? 执行hive创建的目录也是在本地系统目录上。 集群的配置如下 集群规划: 主机名 IP 安装的软件 运行的进程 hadoop01 192.168.175.129 jdk、hadoop NameNode、DFSZKFailoverController(zkfc) hadoop02 192.168.175.127 jdk、hadoop NameNode、DFSZKFailoverController(zkfc) hadoop03 192.168.175.126 jdk、hadoop ResourceManager hadoop04 192.168.175.125 jdk、hadoop ResourceManager hadoop05 192.168.175.124 jdk、hadoop、zookeeper DataNode、NodeManager、JournalNode、QuorumPeerMain hadoop06 192.168.175.123 jdk、hadoop、zookeeper DataNode、NodeManager、JournalNode、QuorumPeerMain hadoop07 192.168.175.122 jdk、hadoop、zookeeper DataNode、NodeManager、JournalNode、QuorumPeerMain windows:NLB LINUX:LVS 1.liunx虚拟机安装后,虚拟机连接模式要选择host-only模式。然后分配IP(以hadoop01为例) DEVICE="eth0" BOOTPROTO="static" ### HWADDR="00:0C:29:3C:BF:E7" IPV6INIT="yes" NM_CONTROLLED="yes" ONBOOT="yes" TYPE="Ethernet" UUID="ce22eeca-ecde-4536-8cc2-ef0dc36d4a8c" IPADDR="192.168.175.129" ### NETMASK="255.255.255.0" ### GATEWAY="192.168.175.1" ### 2.修改主机名: vim /etc/sysconfig/network NETWORKING=yes HOSTNAME=hadoop01 ### 3.关闭防火墙: #查看防火墙状态 service iptables status #关闭防火墙 service iptables stop #查看防火墙开机启动状态 chkconfig iptables --list #关闭防火墙开机启动 chkconfig iptables off 4.免登录配置: #生成ssh免登陆密钥 #进入到我的home目录 cd ~/.ssh ssh-keygen -t rsa (四个回车) 执行完这个命令后,会生成两个文件id_rsa(私钥)、id_rsa.pub(公钥) 将公钥拷贝到要免登陆的机器上 cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys 或 若报错ssh-copy-id: ERROR: No identities found,是因为找不到公钥路径,加上-i然后再加上路径即可 则用 $ ssh-copy-id -i ~/.ssh/id_rsa.pub user@remote_ip 5.主机IP映射关系(/etc/hosts每台机器上都要配置全部映射关系) 192.168.175.129 hadoop01 192.168.175.127 hadoop02 192.168.175.126 hadoop03 192.168.175.125 hadoop04 192.168.175.124 hadoop05 192.168.175.123 hadoop06 192.168.175.122 hadoop07 6./etc/profile下配置java环境变量: export JAVA_HOME=/lichangwu/jdk1.7.0_79 export PATH=$PATH:$JAVA_HOME/bin #刷新profile source /etc/profile 若版本报错,vi /etc/selinux/config,设置SELINUX=disabled,然后重启虚拟机 7.安装zookeeper: 1.安装配置zooekeeper集群(在hadoop05上): 1.1解压 tar -zxvf zookeeper-3.4.6.tar.gz -C /lichangwu/ 1.2修改配置 cd /lichangwu/zookeeper-3.4.6/conf/ cp zoo_sample.cfg zoo.cfg vim zoo.cfg 修改:dataDir=/lichangwu/zookeeper-3.4.6/tmp 在最后添加: server.1=hadoop05:2888:3888 server.2=hadoop06:2888:3888 server.3=hadoop07:2888:3888 保存退出 然后创建一个tmp文件夹 mkdir /lichangwu/zookeeper-3.4.6/tmp 再创建一个空文件 touch /lichangwu/zookeeper-3.4.6/tmp/myid 最后向该文件写入ID echo 1 > /lichangwu/zookeeper-3.4.6/tmp/myid 1.3将配置好的zookeeper拷贝到其他节点(首先分别在hadoop06、hadoop07根目录下创建一个lichangwu目录:mkdir /lichangwu) scp -r /lichangwu/zookeeper-3.4.6/ hadoop06:/lichangwu/ scp -r /lichangwu/zookeeper-3.4.6/ hadoop07:/lichangwu/ 注意:修改hadoop06、hadoop07对应/lichangwu/zookeeper-3.4.6/tmp/myid内容 itcast06: echo 2 > /lichangwu/zookeeper-3.4.6/tmp/myid itcast07: echo 3 > /lichangwu/zookeeper-3.4.6/tmp/myid 8.安装配置hadoop集群(在hadoop01上操作): 2.1解压 tar -zxvf hadoop-2.4.1.tar.gz -C /lichangwu/ 2.2配置HDFS(hadoop2.0所有的配置文件都在$HADOOP_HOME/etc/hadoop目录下) #将hadoop添加到环境变量中 vim /etc/profile export JAVA_HOME=/lichangwu/jdk1.7.0_79 export HADOOP_HOME=/lichangwu/hadoop-2.4.1 export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin #hadoop2.0的配置文件全部在$HADOOP_HOME/etc/hadoop下 cd /lichangwu/hadoop-2.4.1/etc/hadoop 2.2.1修改hadoo-env.sh export JAVA_HOME=/lichangwu/jdk1.7.0_79 2.2.2修改core-site.xml <configuration> <!-- 指定hdfs的nameservice为ns1 --> <property> <name>fs.defaultFS</name> <value>hdfs://ns1</value> </property> <!-- 指定hadoop临时目录 --> <property> <name>hadoop.tmp.dir</name> <value>/lichangwu/hadoop-2.4.1/tmp</value> </property> <!-- 指定zookeeper地址 --> <property> <name>ha.zookeeper.quorum</name> <value>hadoop05:2181,hadoop06:2181,hadoop07:2181</value> </property> </configuration> 2.2.3修改hdfs-site.xml <configuration> <!--指定hdfs的nameservice为ns1,需要和core-site.xml中的保持一致 --> <property> <name>dfs.nameservices</name> <value>ns1</value> </property> <!-- ns1下面有两个NameNode,分别是nn1,nn2 --> <property> <name>dfs.ha.namenodes.ns1</name> <value>nn1,nn2</value> </property> <!-- nn1的RPC通信地址 --> <property> <name>dfs.namenode.rpc-address.ns1.nn1</name> <value>hadoop01:9000</value> </property> <!-- nn1的http通信地址 --> <property> <name>dfs.namenode.http-address.ns1.nn1</name> <value>hadoop01:50070</value> </property> <!-- nn2的RPC通信地址 --> <property> <name>dfs.namenode.rpc-address.ns1.nn2</name> <value>hadoop02:9000</value> </property> <!-- nn2的http通信地址 --> <property> <name>dfs.namenode.http-address.ns1.nn2</name> <value>hadoop02:50070</value> </property> <!-- 指定NameNode的元数据在JournalNode上的存放位置 --> <property> <name>dfs.namenode.shared.edits.dir</name> <value>qjournal://hadoop05:8485;hadoop06:8485;hadoop07:8485/ns1</value> </property> <!-- 指定JournalNode在本地磁盘存放数据的位置 --> <property> <name>dfs.journalnode.edits.dir</name> <value>/lichangwu/hadoop-2.4.1/journal</value> </property> <!-- 开启NameNode失败自动切换 --> <property> <name>dfs.ha.automatic-failover.enabled</name> <value>true</value> </property> <!-- 配置失败自动切换实现方式 --> <property> <name>dfs.client.failover.proxy.provider.ns1</name> <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value> </property> <!-- 配置隔离机制方法,多个机制用换行分割,即每个机制暂用一行--> <property> <name>dfs.ha.fencing.methods</name> <value> sshfence shell(/bin/true) </value> </property> <!-- 使用sshfence隔离机制时需要ssh免登陆 --> <property> <name>dfs.ha.fencing.ssh.private-key-files</name> <value>/home/hadoop/.ssh/id_rsa</value> </property> <!-- 配置sshfence隔离机制超时时间 --> <property> <name>dfs.ha.fencing.ssh.connect-timeout</name> <value>30000</value> </property> </configuration> 2.2.4修改mapred-site.xml <configuration> <!-- 指定mr框架为yarn方式 --> <property> <name>mapreduce.framework.name</name> <value>yarn</value> </property> </configuration> 2.2.5修改yarn-site.xml <configuration> <!-- 开启RM高可靠 --> <property> <name>yarn.resourcemanager.ha.enabled</name> <value>true</value> </property> <!-- 指定RM的cluster id --> <property> <name>yarn.resourcemanager.cluster-id</name> <value>yrc</value> </property> <!-- 指定RM的名字 --> <property> <name>yarn.resourcemanager.ha.rm-ids</name> <value>rm1,rm2</value> </property> <!-- 分别指定RM的地址 --> <property> <name>yarn.resourcemanager.hostname.rm1</name> <value>hadoop03</value> </property> <property> <name>yarn.resourcemanager.hostname.rm2</name> <value>hadoop04</value> </property> <!-- 指定zk集群地址 --> <property> <name>yarn.resourcemanager.zk-address</name> <value>hadoop05:2181,hadoop06:2181,hadoop07:2181</value> </property> <property> <name>yarn.nodemanager.aux-services</name> <value>mapreduce_shuffle</value> </property> </configuration> 2.2.6修改slaves(slaves是指定子节点的位置,因为要在itcast01上启动HDFS、在itcast03启动yarn, 所以itcast01上的slaves文件指定的是datanode的位置,itcast03上的slaves文件指定的是nodemanager的位置) hadoop05 hadoop06 hadoop07 2.2.7配置免密码登陆 #首先要配置itcast01到hadoop02、hadoop03、hadoop04、hadoop05、hadoop06、hadoop07的免密码登陆 #在hadoop01上生产一对钥匙 ssh-keygen -t rsa #将公钥拷贝到其他节点,包括自己 ssh-coyp-id hadoop01 ssh-coyp-id hadoop02 ssh-coyp-id hadoop03 ssh-coyp-id hadoop04 ssh-coyp-id hadoop05 ssh-coyp-id hadoop06 ssh-coyp-id hadoop07 #配置hadoop03到hadoop04、hadoop05、hadoop06、hadoop07的免密码登陆 #在hadoop03上生产一对钥匙 ssh-keygen -t rsa #将公钥拷贝到其他节点 ssh-coyp-id hadoop04 ssh-coyp-id hadoop05 ssh-coyp-id hadoop06 ssh-coyp-id hadoop07 #注意:两个namenode之间要配置ssh免密码登陆,别忘了配置hadoop02到hadoop01的免登陆 在hadoop02上生产一对钥匙 ssh-keygen -t rsa ssh-coyp-id -i hadoop01 2.4将配置好的hadoop拷贝到其他节点 scp -r hadoop-2.4.1/ hadoop02:/lichangwu/hadoop-2.4.1/ scp -r hadoop-2.4.1/ hadoop03:/lichangwu/hadoop-2.4.1/ scp -r hadoop-2.4.1/ hadoop04:/lichangwu/hadoop-2.4.1/ scp -r hadoop-2.4.1/ hadoop05:/lichangwu/hadoop-2.4.1/ scp -r hadoop-2.4.1/ hadoop06:/lichangwu/hadoop-2.4.1/ scp -r hadoop-2.4.1/ hadoop07:/lichangwu/hadoop-2.4.1/ ###注意:严格按照下面的步骤 2.5启动zookeeper集群(分别在hadoop05、hadoop06、hadoop07上启动zk) cd /lichangwu/zookeeper-3.4.6/bin/ ./zkServer.sh start #查看状态:一个leader,两个follower ./zkServer.sh status 2.6启动journalnode(分别在在hadoop05、hadoop06、hadoop07上执行) cd /lichangwu/hadoop-2.4.1 sbin/hadoop-daemon.sh start journalnode #运行jps命令检验,hadoop05、hadoop06、hadoop07上多了JournalNode进程 2.7格式化HDFS #在hadoop01上执行命令: hdfs namenode -format #格式化后会在根据core-site.xml中的hadoop.tmp.dir配置生成个文件, 这里我配置的是/lichangwu/hadoop-2.4.1/tmp,然后将/lichangwu/hadoop-2.4.1/tmp拷贝到hadoop02的/lichangwu/hadoop-2.4.1/下。 scp -r tmp/ hadoop02:/lichangwu/hadoop-2.4.1/ 2.8格式化ZK(在hadoop01上执行即可) hdfs zkfc -formatZK 2.9启动HDFS(在hadoop01上执行) sbin/start-dfs.sh 2.10启动YARN(#####注意#####:是在hadoop03上执行start-yarn.sh, 如果hadoop04上没有启动成功,则在hadoop04上再启动一次start-yarn.sh; 把namenode和resourcemanager分开是因为性能问题,因为他们都要占用大量资源,所以把他们分开了,他们分开了就要分别在不同的机器上启动) sbin/start-yarn.sh 到此,hadoop-2.4.1配置完毕,可以统计浏览器访问: http://192.168.175.129:50070 NameNode 'hadoop01:9000' (active) http://192.168.175.127:50070 NameNode 'hadoop02:9000' (standby)

hadoop jar 运行hadoop自带wordcount报错

安装完hadoop-2.7.3之后,想试试其自带的wordcount例子,但是一直报下面的错,空间不足。。 但是我都还没开始用,怎么会出这种问题。。我是单机上运行的伪分布式,其他的都能正常运行,hdfs也是正常的,能在其中导入文件啥的,但是就是不能用hadoop jar命名运行![图片说明](https://img-ask.csdn.net/upload/201706/05/1496656412_150716.png)

Hadoop2.6.0集群用hadoop df -mkdir -p创建文件

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hadoop 2.2 + jdk1.7 运行wordcount例子 hadoop jar hadoop-mapreduce-examples-2.2.0.jar wordcount /word /ws 报错: org.apache.hadoop.mapred.TaskAttemptListenerImpl: Diagnostics report from attempt_1449733659077_0001_m_000000_0: Error: java.lang.ClassCastException: org.apache.hadoop.mapreduce.lib.input.FileSplit cannot be cast to org.apache.hadoop.mapred.InputSplit 请各位高手指点

新手,hadoop上运行wordcount程序报错

运行的环境是:Ubuntu14.04+hadoop2.6.1 用的是virtualBox虚拟机,然后安装了一个master和三个slave节点 hadoop是可以成功启动的,没有任何问题 在Ubuntu安装了eclipse,用java写了word count的程序,源码如下: ``` package wordcount; import java.io.IOException; import java.util.StringTokenizer; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.IntWritable; import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.mapreduce.Mapper; import org.apache.hadoop.mapreduce.Reducer; import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; /** * @author * @version 创建时间:2017年9月9日 上午8:50:51 类说明 */ public class Wordcount { public static class TokenizerMapper extends Mapper<LongWritable, Text, Text, IntWritable> { private final static IntWritable one = new IntWritable(1); private Text word = new Text(); protected void map(LongWritable key, Text value, Mapper<LongWritable, Text, Text, IntWritable>.Context context) throws IOException, InterruptedException { StringTokenizer line = new StringTokenizer(value.toString()); while (line.hasMoreTokens()) { word.set(line.nextToken()); context.write(word, one); } } } public static class IntSumReducer extends Reducer<Text, IntWritable, Text, IntWritable> { private IntWritable result = new IntWritable(); protected void reduce(Text key, Iterable<IntWritable> values, Reducer<Text, IntWritable, Text, IntWritable>.Context context) throws IOException, InterruptedException { int sum = 0; for (IntWritable obj : values) { sum += obj.get(); } result.set(sum); context.write(key, result); } } public static void main(String[] args) throws Exception { Configuration conf = new Configuration(); Job job = Job.getInstance(conf, "word count"); job.setJarByClass(Wordcount.class); job.setMapperClass(TokenizerMapper.class); job.setCombinerClass(IntSumReducer.class); job.setReducerClass(IntSumReducer.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(IntWritable.class); FileInputFormat.addInputPath(job, new Path("hdfs://master:9000/user/hduser/demo/test.txt")); FileOutputFormat.setOutputPath(job, new Path("hdfs://master:9000/user/hduser/demo/wordcount")); //FileInputFormat.addInputPath(job, new Path(args[0])); //FileOutputFormat.setOutputPath(job, new Path(args[1])); System.exit(job.waitForCompletion(true) ? 0 : 1); } } ``` 启动hadoop后,在eclipse中直接运行上面的程序,运行成功,生成了wordcount文件夹,里面有_SUCCESS文件,也有统计的结果文件 然后我想把程序打包成jar文件来运行,先把上面程序中的: ``` FileInputFormat.addInputPath(job, new Path("hdfs://master:9000/user/hduser/demo/test.txt")); FileOutputFormat.setOutputPath(job, new Path("hdfs://master:9000/user/hduser/demo/wordcount")); ``` 改成如下: ``` FileInputFormat.addInputPath(job, new Path(args[0])); FileOutputFormat.setOutputPath(job, new Path(args[1])); ``` 就是通过终端输入这两个参数 用eclipse的export打包成jar文件,后在终端输入: ``` hadoop jar wordcount.jar wordcount.Wordcount hdfs://master:9000/user/hduser/demo/test.txt hdfs://master:9000/user/hduser/demo/wordcount ``` 运行就报错了,报错情况如下: ``` 17/09/09 11:18:53 INFO client.RMProxy: Connecting to ResourceManager at master/192.168.56.100:8050 17/09/09 11:18:54 WARN mapreduce.JobResourceUploader: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this. 17/09/09 11:18:55 INFO input.FileInputFormat: Total input paths to process : 1 17/09/09 11:18:55 INFO mapreduce.JobSubmitter: number of splits:1 17/09/09 11:18:55 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1504926710828_0001 17/09/09 11:18:56 INFO impl.YarnClientImpl: Submitted application application_1504926710828_0001 17/09/09 11:18:56 INFO mapreduce.Job: The url to track the job: http://master:8088/proxy/application_1504926710828_0001/ 17/09/09 11:18:56 INFO mapreduce.Job: Running job: job_1504926710828_0001 17/09/09 11:19:14 INFO mapreduce.Job: Job job_1504926710828_0001 running in uber mode : false 17/09/09 11:19:14 INFO mapreduce.Job: map 0% reduce 0% 17/09/09 11:19:14 INFO mapreduce.Job: Job job_1504926710828_0001 failed with state FAILED due to: Application application_1504926710828_0001 failed 2 times due to AM Container for appattempt_1504926710828_0001_000002 exited with exitCode: 1 For more detailed output, check application tracking page:http://master:8088/proxy/application_1504926710828_0001/Then, click on links to logs of each attempt. Diagnostics: Exception from container-launch. Container id: container_1504926710828_0001_02_000001 Exit code: 1 Stack trace: ExitCodeException exitCode=1: at org.apache.hadoop.util.Shell.runCommand(Shell.java:538) at org.apache.hadoop.util.Shell.run(Shell.java:455) at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:715) at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:211) at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302) at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82) at java.util.concurrent.FutureTask.run(FutureTask.java:262) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1152) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:622) at java.lang.Thread.run(Thread.java:748) Container exited with a non-zero exit code 1 Failing this attempt. Failing the application. 17/09/09 11:19:14 INFO mapreduce.Job: Counters: 0 ``` 去查了下日志文件, ``` 2017-09-09 11:18:55,869 INFO org.apache.hadoop.hdfs.StateChange: DIR* completeFile: /tmp/hadoop-yarn/staging/hduser/.staging/job_1504926710828_0001/job.xml is closed by DFSClient_NONMAPREDUCE_-1306163227_1 2017-09-09 11:18:59,502 INFO org.apache.hadoop.hdfs.server.blockmanagement.CacheReplicationMonitor: Rescanning after 30000 milliseconds 2017-09-09 11:18:59,503 INFO org.apache.hadoop.hdfs.server.blockmanagement.CacheReplicationMonitor: Scanned 0 directive(s) and 0 block(s) in 1 millisecond(s). 2017-09-09 11:19:12,241 INFO org.apache.hadoop.ipc.Server: IPC Server handler 2 on 9000, call org.apache.hadoop.hdfs.protocol.ClientProtocol.getBlockLocations from 192.168.56.102:53610 Call#7 Retry#0: java.io.FileNotFoundException: File does not exist: /tmp/hadoop-yarn/staging/hduser/.staging/job_1504926710828_0001/job_1504926710828_0001_1.jhist 2017-09-09 11:19:12,293 INFO org.apache.hadoop.ipc.Server: IPC Server handler 4 on 9000, call org.apache.hadoop.hdfs.protocol.ClientProtocol.getBlockLocations from 192.168.56.102:53610 Call#8 Retry#0: java.io.FileNotFoundException: File does not exist: /tmp/hadoop-yarn/staging/hduser/.staging/job_1504926710828_0001/job_1504926710828_0001_1.jhist 2017-09-09 11:19:29,502 INFO org.apache.hadoop.hdfs.server.blockmanagement.CacheReplicationMonitor: Rescanning after 30000 milliseconds 2017-09-09 11:19:29,502 INFO org.apache.hadoop.hdfs.server.blockmanagement.CacheReplicationMonitor: Scanned 0 directive(s) and 0 block(s) in 0 millisecond(s). 2017-09-09 11:19:42,634 INFO org.apache.hadoop.hdfs.server.namenode.FSNamesystem: Roll Edit Log from 192.168.56.100 2017-09-09 11:19:42,634 INFO org.apache.hadoop.hdfs.server.namenode.FSEditLog: Rolling edit logs 2017-09-09 11:19:42,634 INFO org.apache.hadoop.hdfs.server.namenode.FSEditLog: Ending log segment 29 2017-09-09 11:19:42,635 INFO org.apache.hadoop.hdfs.server.namenode.FSEditLog: Number of transactions: 40 Total time for transactions(ms): 6 Number of transactions batched in Syncs: 0 Number of syncs: 27 SyncTimes(ms): 545 2017-09-09 11:19:42,704 INFO org.apache.hadoop.hdfs.server.namenode.FSEditLog: Number of transactions: 40 Total time for transactions(ms): 6 Number of transactions batched in Syncs: 0 Number of syncs: 28 SyncTimes(ms): 613 2017-09-09 11:19:42,704 INFO org.apache.hadoop.hdfs.server.namenode.FileJournalManager: Finalizing edits file /usr/local/hadoop/hadoop_data/hdfs/namenode/current/edits_inprogress_0000000000000000029 -> /usr/local/hadoop/hadoop_data/hdfs/namenode/current/edits_0000000000000000029-0000000000000000068 2017-09-09 11:19:42,704 INFO org.apache.hadoop.hdfs.server.namenode.FSEditLog: Starting log segment at 69 2017-09-09 11:19:59,503 INFO org.apache.hadoop.hdfs.server.blockmanagement.CacheReplicationMonitor: Rescanning after 30001 milliseconds 2017-09-09 11:19:59,503 INFO org.apache.hadoop.hdfs.server.blockmanagement.CacheReplicationMonitor: Scanned 0 directive(s) and 0 block(s) in 0 millisecond(s). 2017-09-09 11:20:29,504 INFO org.apache.hadoop.hdfs.server.blockmanagement.CacheReplicationMonitor: Rescanning after 30001 milliseconds 2017-09-09 11:20:29,504 INFO org.apache.hadoop.hdfs.server.blockmanagement.CacheReplicationMonitor: Scanned 0 directive(s) and 0 block(s) in 0 millisecond(s). 2017-09-09 11:20:42,759 INFO org.apache.hadoop.hdfs.server.namenode.FSNamesystem: Roll Edit Log from 192.168.56.100 2017-09-09 11:20:42,759 INFO org.apache.hadoop.hdfs.server.namenode.FSEditLog: Rolling edit logs 2017-09-09 11:20:42,759 INFO org.apache.hadoop.hdfs.server.namenode.FSEditLog: Ending log segment 69 2017-09-09 11:20:42,759 INFO org.apache.hadoop.hdfs.server.namenode.FSEditLog: Number of transactions: 2 Total time for transactions(ms): 0 Number of transactions batched in Syncs: 0 Number of syncs: 2 SyncTimes(ms): 24 2017-09-09 11:20:42,791 INFO org.apache.hadoop.hdfs.server.namenode.FSEditLog: Number of transactions: 2 Total time for transactions(ms): 0 Number of transactions batched in Syncs: 0 Number of syncs: 3 SyncTimes(ms): 56 ``` 在这里面报了一个错误: ``` java.io.FileNotFoundException: File does not exist: /tmp/hadoop-yarn/staging/hduser/.staging/job_1504926710828_0001/job_1504926710828_0001_1.jhist ``` 新手,不知道怎么办了

hadoop3.0 运行yarn jar 3.0.0-alpha2.jar pi 10 100

2017-05-17 19:07:12,789 INFO org.apache.hadoop.yarn.server.nodemanager.containermanager.localizer.ResourceLocalizationService: Writing credentials to the nmPrivate file /tmp/hadoop-brody/nm-local-dir/nmPrivate/container_1495017112106_0012_01_000001.tokens 2017-05-17 19:07:12,790 INFO org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor: Initializing user brody 2017-05-17 19:07:12,793 INFO org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor: Copying from /tmp/hadoop-brody/nm-local-dir/nmPrivate/container_1495017112106_0012_01_000001.tokens to /tmp/hadoop-brody/nm-local-dir/usercache/brody/appcache/application_1495017112106_0012/container_1495017112106_0012_01_000001.tokens 2017-05-17 19:07:12,794 INFO org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor: Localizer CWD set to /tmp/hadoop-brody/nm-local-dir/usercache/brody/appcache/application_1495017112106_0012 = file:/tmp/hadoop-brody/nm-local-dir/usercache/brody/appcache/application_1495017112106_0012 2017-05-17 19:07:12,843 INFO org.apache.hadoop.yarn.server.nodemanager.containermanager.localizer.ContainerLocalizer: Disk Validator: yarn.nodemanager.disk-validator is loaded. 2017-05-17 19:07:13,178 INFO org.apache.hadoop.yarn.server.nodemanager.containermanager.container.ContainerImpl: Container container_1495017112106_0012_01_000001 transitioned from LOCALIZING to SCHEDULED 2017-05-17 19:07:13,178 INFO org.apache.hadoop.yarn.server.nodemanager.containermanager.scheduler.ContainerScheduler: Starting container [container_1495017112106_0012_01_000001] 2017-05-17 19:07:13,351 INFO org.apache.hadoop.yarn.server.nodemanager.containermanager.container.ContainerImpl: Container container_1495017112106_0012_01_000001 transitioned from SCHEDULED to RUNNING 2017-05-17 19:07:13,352 INFO org.apache.hadoop.yarn.server.nodemanager.containermanager.monitor.ContainersMonitorImpl: Starting resource-monitoring for container_1495017112106_0012_01_000001 2017-05-17 19:07:13,359 INFO org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor: launchContainer: [nice, -n, 0, bash, /tmp/hadoop-brody/nm-local-dir/usercache/brody/appcache/application_1495017112106_0012/container_1495017112106_0012_01_000001/default_container_executor.sh] 2017-05-17 19:07:13,686 WARN org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor: Exit code from container container_1495017112106_0012_01_000001 is : 1 2017-05-17 19:07:13,686 WARN org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor: Exception from container-launch with container ID: container_1495017112106_0012_01_000001 and exit code: 1 ExitCodeException exitCode=1: 2017-05-17 19:07:15,401 INFO org.apache.hadoop.yarn.server.nodemanager.containermanager.application.ApplicationImpl: Removing container_1495017112106_0012_02_000001 from application application_1495017112106_0012 2017-05-17 19:07:15,401 INFO org.apache.hadoop.yarn.server.nodemanager.containermanager.monitor.ContainersMonitorImpl: Stopping resource-monitoring for container_1495017112106_0012_02_000001 2017-05-17 19:07:15,401 INFO org.apache.hadoop.yarn.server.nodemanager.containermanager.AuxServices: Got event CONTAINER_STOP for appId application_1495017112106_0012 2017-05-17 19:07:16,405 INFO org.apache.hadoop.yarn.server.nodemanager.NodeStatusUpdaterImpl: Removed completed containers from NM context: [container_1495017112106_0012_02_000001] 2017-05-17 19:07:16,408 INFO org.apache.hadoop.yarn.server.nodemanager.containermanager.application.ApplicationImpl: Application application_1495017112106_0012 transitioned from RUNNING to APPLICATION_RESOURCES_CLEANINGUP 2017-05-17 19:07:16,409 INFO org.apache.hadoop.yarn.server.nodemanager.containermanager.AuxServices: Got event APPLICATION_STOP for appId application_1495017112106_0012 2017-05-17 19:07:16,409 INFO org.apache.hadoop.yarn.server.nodemanager.containermanager.application.ApplicationImpl: Application application_1495017112106_0012 transitioned from APPLICATION_RESOURCES_CLEANINGUP to FINISHED 2017-05-17 19:07:16,409 INFO org.apache.hadoop.yarn.server.nodemanager.containermanager.loghandler.NonAggregatingLogHandler: Scheduling Log Deletion for application: application_1495017112106_0012, with delay of 10800 seconds 2017-05-17 19:07:16,409 INFO org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor: Deleting absolute path : /tmp/hadoop-brody/nm-local-dir/usercache/brody/appcache/application_1495017112106_0012

hadoop执行wordcount报错

WARN mapred.JobClient: Use GenericOptionsParser for parsing the arguments. Applications should implement Tool for the same. 17/05/03 02:35:31 WARN hdfs.DFSClient: DataStreamer Exception: org.apache.hadoop.ipc.RemoteException: java.io.IOException: File /zxc/hdfs/tmp/mapred/staging/root/.staging/job_201705030234_0001/job.jar could only be replicated to 0 nodes, instead of 1 at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:1639) at org.apache.hadoop.hdfs.server.namenode.NameNode.addBlock(NameNode.java:736) at sun.reflect.GeneratedMethodAccessor2.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:578) at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1393) at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1389) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1149) at org.apache.hadoop.ipc.Server$Handler.run(Server.java:1387) at org.apache.hadoop.ipc.Client.call(Client.java:1107) at org.apache.hadoop.ipc.RPC$Invoker.invoke(RPC.java:229) at com.sun.proxy.$Proxy1.addBlock(Unknown Source) 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:85) at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:62) at com.sun.proxy.$Proxy1.addBlock(Unknown Source) at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.locateFollowingBlock(DFSClient.java:3686) at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.nextBlockOutputStream(DFSClient.java:3546) at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.access$2600(DFSClient.java:2749) at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream$DataStreamer.run(DFSClient.java:2989) 17/05/03 02:35:31 WARN hdfs.DFSClient: Error Recovery for block null bad datanode[0] nodes == null 17/05/03 02:35:31 WARN hdfs.DFSClient: Could not get block locations. Source file "/zxc/hdfs/tmp/mapred/staging/root/.staging/job_201705030234_0001/job.jar" - Aborting... 17/05/03 02:35:31 INFO mapred.JobClient: Cleaning up the staging area hdfs://192.168.136.131:9000/zxc/hdfs/tmp/mapred/staging/root/.staging/job_201705030234_0001 17/05/03 02:35:31 ERROR security.UserGroupInformation: PriviledgedActionException as:root cause:org.apache.hadoop.ipc.RemoteException: java.io.IOException: File /zxc/hdfs/tmp/mapred/staging/root/.staging/job_201705030234_0001/job.jar could only be replicated to 0 nodes, instead of 1 at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:1639) at org.apache.hadoop.hdfs.server.namenode.NameNode.addBlock(NameNode.java:736) at sun.reflect.GeneratedMethodAccessor2.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:578) at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1393) at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1389) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1149) at org.apache.hadoop.ipc.Server$Handler.run(Server.java:1387) org.apache.hadoop.ipc.RemoteException: java.io.IOException: File /zxc/hdfs/tmp/mapred/staging/root/.staging/job_201705030234_0001/job.jar could only be replicated to 0 nodes, instead of 1 at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:1639) at org.apache.hadoop.hdfs.server.namenode.NameNode.addBlock(NameNode.java:736) at sun.reflect.GeneratedMethodAccessor2.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:578) at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1393) at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1389) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1149) at org.apache.hadoop.ipc.Server$Handler.run(Server.java:1387) at org.apache.hadoop.ipc.Client.call(Client.java:1107) at org.apache.hadoop.ipc.RPC$Invoker.invoke(RPC.java:229) at com.sun.proxy.$Proxy1.addBlock(Unknown Source) 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:85) at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:62) at com.sun.proxy.$Proxy1.addBlock(Unknown Source) at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.locateFollowingBlock(DFSClient.java:3686) at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.nextBlockOutputStream(DFSClient.java:3546) at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.access$2600(DFSClient.java:2749) at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream$DataStreamer.run(DFSClient.java:2989) 17/05/03 02:35:31 ERROR hdfs.DFSClient: Failed to close file /zxc/hdfs/tmp/mapred/staging/root/.staging/job_201705030234_0001/job.jar org.apache.hadoop.ipc.RemoteException: java.io.IOException: File /zxc/hdfs/tmp/mapred/staging/root/.staging/job_201705030234_0001/job.jar could only be replicated to 0 nodes, instead of 1 at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:1639) at org.apache.hadoop.hdfs.server.namenode.NameNode.addBlock(NameNode.java:736) at sun.reflect.GeneratedMethodAccessor2.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:578) at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1393) at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1389) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1149) at org.apache.hadoop.ipc.Server$Handler.run(Server.java:1387) at org.apache.hadoop.ipc.Client.call(Client.java:1107) at org.apache.hadoop.ipc.RPC$Invoker.invoke(RPC.java:229) at com.sun.proxy.$Proxy1.addBlock(Unknown Source) 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:85) at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:62) at com.sun.proxy.$Proxy1.addBlock(Unknown Source) at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.locateFollowingBlock(DFSClient.java:3686) at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.nextBlockOutputStream(DFSClient.java:3546) at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.access$2600(DFSClient.java:2749) at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream$DataStreamer.run(DFSClient.java:2989) 报错内容是没有节点,但是用jps查看都已经正常启动,而且防火墙也关闭了,节点间通信也都正常

hadoop伪分布式运行wordcount 程序报异常,大神们帮忙看看。

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