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一鼓作气！肝死它！！！！
正文
前面都已经配置好了。我就准备试试伪分布式了！！结果？？！啊哈？！？！
localhost:hadoop zhangzhaobo$ cd 3.1.0/
localhost:3.1.0 zhangzhaobo$ hdfs dfs -put /Users/zhangzhaobo/program/python/KnowledgeGame.py logs
2018-06-03 14:38:52,230 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
2018-06-03 14:38:53,685 WARN hdfs.DataStreamer: DataStreamer Exception
org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /user/zhangzhaobo/logs._COPYING_ could only be written to 0 of the 1 minReplication nodes. There are 0 datanode(s) running and no node(s) are excluded in this operation.
at org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget4NewBlock(BlockManager.java:2116)
at org.apache.hadoop.hdfs.server.namenode.FSDirWriteFileOp.chooseTargetForNewBlock(FSDirWriteFileOp.java:287)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:2688)
at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:875)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:559)
at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:523)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:991)
at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:869)
at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:815)
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:1682)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2675)
at org.apache.hadoop.ipc.Client.getRpcResponse(Client.java:1491)
at org.apache.hadoop.ipc.Client.call(Client.java:1437)
at org.apache.hadoop.ipc.Client.call(Client.java:1347)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:228)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:116)
at com.sun.proxy.$Proxy11.addBlock(Unknown Source)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.addBlock(ClientNamenodeProtocolTranslatorPB.java:504)
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:422)
at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeMethod(RetryInvocationHandler.java:165)
at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invoke(RetryInvocationHandler.java:157)
at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeOnce(RetryInvocationHandler.java:95)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:359)
at com.sun.proxy.$Proxy12.addBlock(Unknown Source)
at org.apache.hadoop.hdfs.DFSOutputStream.addBlock(DFSOutputStream.java:1078)
at org.apache.hadoop.hdfs.DataStreamer.locateFollowingBlock(DataStreamer.java:1865)
at org.apache.hadoop.hdfs.DataStreamer.nextBlockOutputStream(DataStreamer.java:1668)
at org.apache.hadoop.hdfs.DataStreamer.run(DataStreamer.java:716)
put: File /user/zhangzhaobo/logs._COPYING_ could only be written to 0 of the 1 minReplication nodes. There are 0 datanode(s) running and no node(s) are excluded in this operation.
数据节点不见了？？？WTF？
现在是有的 ，一开始没有！
所以就去找呀找~ 最后找到了两个法子。。
启动Hadoop时，DataNode启动后一会儿自动消失的解决方法
从日志中可以看出，原因是因为datanode的clusterID 和 namenode的clusterID 不匹配。
（在slaver端上修改）
打开hdfs-site.xml里配置的datanode和namenode对应的目录，分别打开current文件夹里的VERSION，可以看到clusterID项正如日志里记录的一样，确实不一致，修改datanode里VERSION文件的clusterID 与namenode里的一致，再重新启动dfs（执行start-dfs.sh）再执行jps命令可以看到datanode已正常启动。
上面这个是比较正统的做法！我是个正统的人吗？？是！当然是。。但是这次不行。伪分布式。。。比较任性。猥琐一波！！
直接删除掉前面产生的文件就ok！
我的是这样，看你把你的文件系统挂在哪儿了！！
然后运行下面的代码：
./sbin/stop-all.sh
./bin/hdfs namenode -format
./sbin/start-dfs.sh
./bin/hdfs dfs -mkdir /user
./bin/hdfs dfs -mkdir /user/zhangzhaobo
./sbin/start-yarn.sh
hdfs dfs -put Know.py
当然一把就成功啦！！
然后试试按照例程来哈~
进入mapreduce目录
运行程序：
localhost:mapreduce zhangzhaobo$ hadoop jar hadoop-mapreduce-examples-3.1.0.jar wordcount /user/zhangzhaobo/in /user/zhangzhaobo/out/resultWordCount
查看result
这是运行成功的过程：
2018-06-03 15:25:38,662 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
2018-06-03 15:25:39,697 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
2018-06-03 15:25:40,514 INFO mapreduce.JobResourceUploader: Disabling Erasure Coding for path: /tmp/hadoop-yarn/staging/zhangzhaobo/.staging/job_1528008869850_0003
2018-06-03 15:25:40,819 INFO input.FileInputFormat: Total input files to process : 1
2018-06-03 15:25:40,910 INFO mapreduce.JobSubmitter: number of splits:1
2018-06-03 15:25:40,960 INFO Configuration.deprecation: yarn.resourcemanager.system-metrics-publisher.enabled is deprecated. Instead, use yarn.system-metrics-publisher.enabled
2018-06-03 15:25:41,104 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1528008869850_0003
2018-06-03 15:25:41,106 INFO mapreduce.JobSubmitter: Executing with tokens: []
2018-06-03 15:25:41,372 INFO conf.Configuration: resource-types.xml not found
2018-06-03 15:25:41,373 INFO resource.ResourceUtils: Unable to find 'resource-types.xml'.
2018-06-03 15:25:41,463 INFO impl.YarnClientImpl: Submitted application application_1528008869850_0003
2018-06-03 15:25:41,513 INFO mapreduce.Job: The url to track the job: http://localhost:8088/proxy/application_1528008869850_0003/
2018-06-03 15:25:41,514 INFO mapreduce.Job: Running job: job_1528008869850_0003
2018-06-03 15:25:50,700 INFO mapreduce.Job: Job job_1528008869850_0003 running in uber mode : false
2018-06-03 15:25:50,702 INFO mapreduce.Job: map 0% reduce 0%
2018-06-03 15:25:57,808 INFO mapreduce.Job: map 100% reduce 0%
2018-06-03 15:26:04,871 INFO mapreduce.Job: map 100% reduce 100%
2018-06-03 15:26:04,887 INFO mapreduce.Job: Job job_1528008869850_0003 completed successfully
2018-06-03 15:26:05,005 INFO mapreduce.Job: Counters: 49
File System Counters
FILE: Number of bytes read=2684
FILE: Number of bytes written=431255
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=2281
HDFS: Number of bytes written=2126
HDFS: Number of read operations=8
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=4094
Total time spent by all reduces in occupied slots (ms)=4530
Total time spent by all map tasks (ms)=4094
Total time spent by all reduce tasks (ms)=4530
Total vcore-milliseconds taken by all map tasks=4094
Total vcore-milliseconds taken by all reduce tasks=4530
Total megabyte-milliseconds taken by all map tasks=4192256
Total megabyte-milliseconds taken by all reduce tasks=4638720
Map-Reduce Framework
Map input records=36
Map output records=191
Map output bytes=2902
Map output materialized bytes=2684
Input split bytes=126
Combine input records=191
Combine output records=138
Reduce input groups=138
Reduce shuffle bytes=2684
Reduce input records=138
Reduce output records=138
Spilled Records=276
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=154
CPU time spent (ms)=0
Physical memory (bytes) snapshot=0
Virtual memory (bytes) snapshot=0
Total committed heap usage (bytes)=407896064
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=2155
File Output Format Counters
Bytes Written=2126
弄了三次才成功的！！
原因是一开始有一个地方一直报错。。说我的主类加载不到？？？WTF？
[2018-06-03 15:15:24.474]Container exited with a non-zero exit code 1. Error file: prelaunch.err.
Last 4096 bytes of prelaunch.err :
Last 4096 bytes of stderr :
错误: 找不到或无法加载主类 org.apache.hadoop.mapreduce.v2.app.MRAppMaster
[2018-06-03 15:15:24.474]Container exited with a non-zero exit code 1. Error file: prelaunch.err.
Last 4096 bytes of prelaunch.err :
Last 4096 bytes of stderr :
错误: 找不到或无法加载主类 org.apache.hadoop.mapreduce.v2.app.MRAppMaster
然后找到了如下文章，贼有用！
然后例程主要是参考的这个人来的：
正文之后
溜了溜了，在测试一个例程就睡觉，然后去健身房咯！晚上回去搭建集群~
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