Ubuntu下配置安装Hadoop 2.2

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2024-07-29 20:33:15 213人阅读

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这两天玩Hadoop，之前在我的Mac上配置了好长时间都没成功的Hadoop环境，今天想在win7 虚拟机下的Ubuntu12.04 64位机下配置，

然后再建一个组群看一看。

参考资料：

1. Installing single node Hadoop 2.2.0 on Ubuntu： http://bigdatahandler.com/hadoop-hdfs/installing-single-node-hadoop-2-2-0-on-ubuntu/

配置过程如下：

1. openssh配置

li@li-pc:~$ sudo apt-get install openssh-client

2.Java 环境我之前已经配置好了，不再罗嗦了

3.添加分组

li@li-pc:~$ sudo addgroup Hadoopaddgroup: Please enter a username matching the regular expression configuredvia the NAME_REGEX[_SYSTEM] configuration variable.  Use the `--force-badname‘option to relax this check or reconfigure NAME_REGEX.

遇到问题。根据提醒，使用那个如下命令即可：

sudo addgroup --force-badname Hadoop

然后为该分组添加一个用户：

li@li-pc:/usr/local$ sudo adduser -ingroup Hadoop hduser正在添加用户"hduser"...正在添加新用户"hduser" (1001) 到组"Hadoop"...创建主目录"/home/hduser"...正在从"/etc/skel"复制文件...输入新的 UNIX 密码： 重新输入新的 UNIX 密码： passwd：已成功更新密码正在改变 hduser 的用户信息请输入新值，或直接敲回车键以使用默认值	全名 []: 	房间号码 []: 	工作电话 []: 	家庭电话 []: 	其它 []: 这些信息是否正确？ [Y/n] Y

4. 确认SSH配置

关于ssh配置的作用，这里讲的很清楚，在master机器对slaver机器控制时需要通过ssh验证，而本地机器也要通过用户的授权才可以运行。

The need for SSH Key based authentication is required so that the master node can then login to slave nodes (and the secondary node) to 
start/stop them and also local machine if you want to use Hadoop with it. For our single-node setup of Hadoop, we therefore need to configure
 SSH access to localhost for the hduser user we created in the previous section.

操作如下：

li@li-pc:/usr/local$ su - hduser密码： hduser@li-pc:~$ lsexamples.desktophduser@li-pc:~$ ssh-keygen -t rsa -P ""Generating public/private rsa key pair.Enter file in which to save the key (/home/hduser/.ssh/id_rsa): Created directory ‘/home/hduser/.ssh‘.Your identification has been saved in /home/hduser/.ssh/id_rsa.Your public key has been saved in /home/hduser/.ssh/id_rsa.pub.The key fingerprint is:23:2c:1a:6f:1c:dc:a6:61:6e:51:97:a3:a4:1f:b8:43 hduser@li-pcThe key‘s randomart image is:+--[ RSA 2048]----+|                 ||         .       ||      o +        ||   . B o .       ||  . E B S        ||   O X o .       ||  . X .          ||   o .           ||                 |+-----------------+hduser@li-pc:~$

测试ssh登录hduser，结果还是失败：

hduser@li-pc:~$ cd .ssh/hduser@li-pc:~/.ssh$ lsid_rsa  id_rsa.pubhduser@li-pc:~/.ssh$ cat id_rsa.pub >> ~/.ssh/authorized_keyshduser@li-pc:~/.ssh$ lsauthorized_keys  id_rsa  id_rsa.pubhduser@li-pc:~/.ssh$ ssh hduser@localhostssh: connect to host localhost port 22: Connection refused

结果发现是没与安装openssh-server，按照完成测试就成功了。

li@li-pc:~$ sudo apt-get install openssh-server

hduser@li-pc:~/.ssh$ ssh hduser@localhostThe authenticity of host ‘localhost (127.0.0.1)‘ can‘t be established.ECDSA key fingerprint is 9c:84:a4:41:d6:d2:88:3d:59:c3:b8:3f:95:44:15:f5.Are you sure you want to continue connecting (yes/no)? yesWarning: Permanently added ‘localhost‘ (ECDSA) to the list of known hosts.Welcome to Ubuntu 12.04.3 LTS (GNU/Linux 3.2.0-56-generic-pae i686) * Documentation:  https://help.ubuntu.com/The programs included with the Ubuntu system are free software;the exact distribution terms for each program are described in theindividual files in /usr/share/doc/*/copyright.Ubuntu comes with ABSOLUTELY NO WARRANTY, to the extent permitted byapplicable law.

5. 配置hadoop 2.2

下载地址：http://mirrors.cnnic.cn/apache/hadoop/common/hadoop-2.2.0/

注意src和tar的区别。

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想哭的心情，写了好多，晚上吃了一个饭，发现firefox给刷新了，幸好可以恢复了一部分，好多都丢失了。。。

参考博文再回忆一下吧：

mv hadoop-2.2.0 hadoopsudo mv hadoop /usr/local/sudo chown -R hduser:Hadoop hadoop

然后是配置一下文件：

a. yarn-site.xml:
b. core-site.xml
c. mapred-site.xml
d. hdfs-site.xml
e. Update $HOME/.bashrc

yarn-site.xml:

<configuration><!-- Site specific YARN configuration properties --><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></configuration>

core-site.xml:

<configuration><property><name>fs.default.name</name><value>hdfs://localhost:9000</value></property></configuration>

mapred-site.xml:

<configuration><property><name>mapreduce.framework.name</name><value>yarn</value></property></configuration>

配置datanode 和 namenode

mkdir -p $HADOOP_HOME/yarn_data/hdfs/namenodesudo mkdir -p $HADOOP_HOME/yarn_data/hdfs/namenodemkdir -p $HADOOP_HOME/yarn_data/hdfs/datanode

hdfs-site.xml:

<configuration><property><name>dfs.replication</name><value>1</value></property><property><name>dfs.namenode.name.dir</name><value>file:/usr/local/hadoop/yarn_data/hdfs/namenode</value></property><property><name>dfs.datanode.data.dir</name><value>file:/usr/local/hadoop/yarn_data/hdfs/datanode</value></property></configuration>

配置～/.bashrc文件，但这个只是对本用户的，可以修改/etc/profile对所有用户配置，配置如下，注意JAVA_HOME和HADOOP_HOME的位置：

# Set Hadoop-related environment variablesexport HADOOP_PREFIX=/usr/local/hadoopexport HADOOP_HOME=/usr/local/hadoopexport HADOOP_MAPRED_HOME=${HADOOP_HOME}export HADOOP_COMMON_HOME=${HADOOP_HOME}export HADOOP_HDFS_HOME=${HADOOP_HOME}export YARN_HOME=${HADOOP_HOME}export HADOOP_CONF_DIR=${HADOOP_HOME}/etc/hadoop# Native Pathexport HADOOP_COMMON_LIB_NATIVE_DIR=${HADOOP_PREFIX}/lib/nativeexport HADOOP_OPTS="-Djava.library.path=$HADOOP_PREFIX/lib"#Java pathexport JAVA_HOME=‘/usr/locla/Java/jdk1.7.0_45‘# Add Hadoop bin/ directory to PATHexport PATH=$PATH:$HADOOP_HOME/bin:$JAVA_PATH/bin:$HADOOP_HOME/sbin

6.运行hadoop

格式化HDFS文件：

hadoop namenode -format

运行：

$ hadoop-daemon.sh start namenode

$ hadoop-daemon.sh start datanode

$ yarn-daemon.sh start nodemanager

$ mr-jobhistory-daemon.sh start historyserver

HDFS Namenode and check health using http://localhost:50070
HDFS Secondary Namenode status using http://localhost:50090

如果需要终止的话，输入如下命令：

stop-dfs.shstop-yarn.sh

注意的是，我在这个过程中遇到了许多问题：

首先是提醒JAVA_HOME没有set，后来看了stackflow的解答，是在hadoop_env.sh配置了JAVA_HOME的变量解决了。

另外是，retry server的问题，后来发现是yarn 守护进程没有打开。

7. 运行hadoop-example.jar

参考链接：http://www.michael-noll.com/tutorials/running-hadoop-on-ubuntu-linux-single-node-cluster/

找了半天hadoop 2.2的example jar包的位置是在下面，要把它复制到hadoop/bin目录下才可以使用：

/usr/local/hadoop/share/hadoop/mapreduce

而hadoop fs命令也折腾了好久：

./hadoop fs -mkdir -p /user/hduser./hadoop fs -mkdir -p /user/hduser/output ./hadoop jar hadoop-mapreduce-examples-2.2.0.jar wordcount /usr/hduser/tmp /user/hduser/output

运行结果：

hduser@li-pc:/usr/local/hadoop/bin$ ./hadoop jar hadoop-mapreduce-examples-2.2.0.jar wordcount /usr/hduser/tmp /user/hduser/output214/10/28 18:13:01 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable14/10/28 18:13:04 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:803214/10/28 18:13:06 INFO mapreduce.JobSubmitter: Cleaning up the staging area /tmp/hadoop-yarn/staging/hduser/.staging/job_1414490582870_000114/10/28 18:13:06 ERROR security.UserGroupInformation: PriviledgedActionException as:hduser (auth:SIMPLE) cause:org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: hdfs://localhost:9000/usr/hduser/tmporg.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: hdfs://localhost:9000/usr/hduser/tmp	at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.listStatus(FileInputFormat.java:285)	at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.getSplits(FileInputFormat.java:340)	at org.apache.hadoop.mapreduce.JobSubmitter.writeNewSplits(JobSubmitter.java:491)	at org.apache.hadoop.mapreduce.JobSubmitter.writeSplits(JobSubmitter.java:508)	at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:392)	at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1268)	at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1265)	at java.security.AccessController.doPrivileged(Native Method)	at javax.security.auth.Subject.doAs(Subject.java:416)	at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1491)	at org.apache.hadoop.mapreduce.Job.submit(Job.java:1265)	at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1286)	at org.apache.hadoop.examples.WordCount.main(WordCount.java:84)	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)	at java.lang.reflect.Method.invoke(Method.java:622)	at org.apache.hadoop.util.ProgramDriver$ProgramDescription.invoke(ProgramDriver.java:72)	at org.apache.hadoop.util.ProgramDriver.run(ProgramDriver.java:144)	at org.apache.hadoop.examples.ExampleDriver.main(ExampleDriver.java:74)	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)	at java.lang.reflect.Method.invoke(Method.java:622)	at org.apache.hadoop.util.RunJar.main(RunJar.java:212)hduser@li-pc:/usr/local/hadoop/bin$ ./hadoop jar hadoop-mapreduce-examples-2.2.0.jar wordcount /user/hduser/tmp /user/hduser/output214/10/28 18:13:29 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable14/10/28 18:13:30 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:803214/10/28 18:13:31 INFO input.FileInputFormat: Total input paths to process : 314/10/28 18:13:32 INFO mapreduce.JobSubmitter: number of splits:314/10/28 18:13:32 INFO Configuration.deprecation: user.name is deprecated. Instead, use mapreduce.job.user.name14/10/28 18:13:32 INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapreduce.job.jar14/10/28 18:13:32 INFO Configuration.deprecation: mapred.output.value.class is deprecated. Instead, use mapreduce.job.output.value.class14/10/28 18:13:32 INFO Configuration.deprecation: mapreduce.combine.class is deprecated. Instead, use mapreduce.job.combine.class14/10/28 18:13:32 INFO Configuration.deprecation: mapreduce.map.class is deprecated. Instead, use mapreduce.job.map.class14/10/28 18:13:32 INFO Configuration.deprecation: mapred.job.name is deprecated. Instead, use mapreduce.job.name14/10/28 18:13:32 INFO Configuration.deprecation: mapreduce.reduce.class is deprecated. Instead, use mapreduce.job.reduce.class14/10/28 18:13:32 INFO Configuration.deprecation: mapred.input.dir is deprecated. Instead, use mapreduce.input.fileinputformat.inputdir14/10/28 18:13:32 INFO Configuration.deprecation: mapred.output.dir is deprecated. Instead, use mapreduce.output.fileoutputformat.outputdir14/10/28 18:13:32 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps14/10/28 18:13:32 INFO Configuration.deprecation: mapred.output.key.class is deprecated. Instead, use mapreduce.job.output.key.class14/10/28 18:13:32 INFO Configuration.deprecation: mapred.working.dir is deprecated. Instead, use mapreduce.job.working.dir14/10/28 18:13:34 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1414490582870_000214/10/28 18:13:35 INFO impl.YarnClientImpl: Submitted application application_1414490582870_0002 to ResourceManager at /0.0.0.0:803214/10/28 18:13:35 INFO mapreduce.Job: The url to track the job: http://li-pc:8088/proxy/application_1414490582870_0002/14/10/28 18:13:35 INFO mapreduce.Job: Running job: job_1414490582870_000214/10/28 18:14:12 INFO mapreduce.Job: Job job_1414490582870_0002 running in uber mode : false14/10/28 18:14:12 INFO mapreduce.Job:  map 0% reduce 0%14/10/28 18:19:31 INFO mapreduce.Job:  map 100% reduce 0%14/10/28 18:19:57 INFO mapreduce.Job: Task Id : attempt_1414490582870_0002_r_000000_0, Status : FAILEDError: org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /user/hduser/output2/_temporary/1/_temporary/attempt_1414490582870_0002_r_000000_0/part-r-00000 could only be replicated to 0 nodes instead of minReplication (=1).  There are 1 datanode(s) running and no node(s) are excluded in this operation.	at org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget(BlockManager.java:1384)	at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:2477)	at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:555)	at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:387)	at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java:59582)	at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:585)	at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:928)	at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2048)	at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2044)	at java.security.AccessController.doPrivileged(Native Method)	at javax.security.auth.Subject.doAs(Subject.java:416)	at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1491)	at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2042)	at org.apache.hadoop.ipc.Client.call(Client.java:1347)	at org.apache.hadoop.ipc.Client.call(Client.java:1300)	at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:206)	at com.sun.proxy.$Proxy10.addBlock(Unknown Source)	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)	at java.lang.reflect.Method.invoke(Method.java:622)	at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:186)	at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)	at com.sun.proxy.$Proxy10.addBlock(Unknown Source)	at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.addBlock(ClientNamenodeProtocolTranslatorPB.java:330)	at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.locateFollowingBlock(DFSOutputStream.java:1226)	at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.nextBlockOutputStream(DFSOutputStream.java:1078)	at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.run(DFSOutputStream.java:514)14/10/28 18:20:03 INFO mapreduce.Job: Task Id : attempt_1414490582870_0002_r_000000_1, Status : FAILEDError: org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /user/hduser/output2/_temporary/1/_temporary/attempt_1414490582870_0002_r_000000_1/part-r-00000 could only be replicated to 0 nodes instead of minReplication (=1).  There are 1 datanode(s) running and no node(s) are excluded in this operation.	at org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget(BlockManager.java:1384)	at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:2477)	at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:555)	at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:387)	at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java:59582)	at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:585)	at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:928)	at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2048)	at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2044)	at java.security.AccessController.doPrivileged(Native Method)	at javax.security.auth.Subject.doAs(Subject.java:416)	at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1491)	at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2042)	at org.apache.hadoop.ipc.Client.call(Client.java:1347)	at org.apache.hadoop.ipc.Client.call(Client.java:1300)	at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:206)	at com.sun.proxy.$Proxy10.addBlock(Unknown Source)	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)	at java.lang.reflect.Method.invoke(Method.java:622)	at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:186)	at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)	at com.sun.proxy.$Proxy10.addBlock(Unknown Source)	at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.addBlock(ClientNamenodeProtocolTranslatorPB.java:330)	at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.locateFollowingBlock(DFSOutputStream.java:1226)	at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.nextBlockOutputStream(DFSOutputStream.java:1078)	at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.run(DFSOutputStream.java:514)14/10/28 18:20:08 INFO mapreduce.Job: Task Id : attempt_1414490582870_0002_r_000000_2, Status : FAILEDError: org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /user/hduser/output2/_temporary/1/_temporary/attempt_1414490582870_0002_r_000000_2/part-r-00000 could only be replicated to 0 nodes instead of minReplication (=1).  There are 1 datanode(s) running and no node(s) are excluded in this operation.	at org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget(BlockManager.java:1384)	at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:2477)	at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:555)	at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:387)	at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java:59582)	at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:585)	at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:928)	at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2048)	at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2044)	at java.security.AccessController.doPrivileged(Native Method)	at javax.security.auth.Subject.doAs(Subject.java:416)	at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1491)	at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2042)	at org.apache.hadoop.ipc.Client.call(Client.java:1347)	at org.apache.hadoop.ipc.Client.call(Client.java:1300)	at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:206)	at com.sun.proxy.$Proxy10.addBlock(Unknown Source)	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)	at java.lang.reflect.Method.invoke(Method.java:622)	at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:186)	at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)	at com.sun.proxy.$Proxy10.addBlock(Unknown Source)	at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.addBlock(ClientNamenodeProtocolTranslatorPB.java:330)	at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.locateFollowingBlock(DFSOutputStream.java:1226)	at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.nextBlockOutputStream(DFSOutputStream.java:1078)	at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.run(DFSOutputStream.java:514)14/10/28 18:20:14 INFO mapreduce.Job:  map 100% reduce 100%14/10/28 18:20:16 INFO mapreduce.Job: Job job_1414490582870_0002 failed with state FAILED due to: Task failed task_1414490582870_0002_r_000000Job failed as tasks failed. failedMaps:0 failedReduces:114/10/28 18:20:18 INFO mapreduce.Job: Counters: 32	File System Counters		FILE: Number of bytes read=0		FILE: Number of bytes written=1696663		FILE: Number of read operations=0		FILE: Number of large read operations=0		FILE: Number of write operations=0		HDFS: Number of bytes read=3671863		HDFS: Number of bytes written=0		HDFS: Number of read operations=9		HDFS: Number of large read operations=0		HDFS: Number of write operations=0	Job Counters 		Failed reduce tasks=4		Launched map tasks=3		Launched reduce tasks=4		Data-local map tasks=3		Total time spent by all maps in occupied slots (ms)=951614		Total time spent by all reduces in occupied slots (ms)=26289	Map-Reduce Framework		Map input records=77931		Map output records=629172		Map output bytes=6076101		Map output materialized bytes=1459156		Input split bytes=340		Combine input records=629172		Combine output records=101113		Spilled Records=101113		Failed Shuffles=0		Merged Map outputs=0		GC time elapsed (ms)=20683		CPU time spent (ms)=15220		Physical memory (bytes) snapshot=292376576		Virtual memory (bytes) snapshot=1189588992		Total committed heap usage (bytes)=350171136	File Input Format Counters 		Bytes Read=3671523

Ubuntu下配置安装Hadoop 2.2

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Ubuntu下配置安装Hadoop 2.2

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