Ubuntu下配置安装Hadoop 2.2

—恢复内容开始—

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 Hadoop
addgroup: Please enter a username matching the regular expression configured
via 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:~$ ls
examples.desktop
hduser@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-pc
The 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$ ls
id_rsa  id_rsa.pub
hduser@li-pc:~/.ssh$ cat id_rsa.pub >> ~/.ssh/authorized_keys
hduser@li-pc:~/.ssh$ ls
authorized_keys  id_rsa  id_rsa.pub
hduser@li-pc:~/.ssh$ ssh hduser@localhost
ssh: 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@localhost
The 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)? yes
Warning: 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 the
individual files in /usr/share/doc/*/copyright.

Ubuntu comes with ABSOLUTELY NO WARRANTY, to the extent permitted by
applicable 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。

—恢复内容结束—

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 hadoop
sudo 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/namenode
sudo mkdir -p $HADOOP_HOME/yarn_data/hdfs/namenode
mkdir -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 variables
export HADOOP_PREFIX=/usr/local/hadoop
export HADOOP_HOME=/usr/local/hadoop
export 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=${HADOOP_HOME}/etc/hadoop
# Native Path
export HADOOP_COMMON_LIB_NATIVE_DIR=${HADOOP_PREFIX}/lib/native
export HADOOP_OPTS="-Djava.library.path=$HADOOP_PREFIX/lib"
#Java path
export JAVA_HOME='/usr/locla/Java/jdk1.7.0_45'
# Add Hadoop bin/ directory to PATH
export PATH=$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

 如果需要终止的话,输入如下命令:

stop-dfs.sh
stop-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/output2
14/10/28 18:13:01 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
14/10/28 18:13:04 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
14/10/28 18:13:06 INFO mapreduce.JobSubmitter: Cleaning up the staging area /tmp/hadoop-yarn/staging/hduser/.staging/job_1414490582870_0001
14/10/28 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/tmp
org.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/output2
14/10/28 18:13:29 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
14/10/28 18:13:30 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
14/10/28 18:13:31 INFO input.FileInputFormat: Total input paths to process : 3
14/10/28 18:13:32 INFO mapreduce.JobSubmitter: number of splits:3
14/10/28 18:13:32 INFO Configuration.deprecation: user.name is deprecated. Instead, use mapreduce.job.user.name
14/10/28 18:13:32 INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapreduce.job.jar
14/10/28 18:13:32 INFO Configuration.deprecation: mapred.output.value.class is deprecated. Instead, use mapreduce.job.output.value.class
14/10/28 18:13:32 INFO Configuration.deprecation: mapreduce.combine.class is deprecated. Instead, use mapreduce.job.combine.class
14/10/28 18:13:32 INFO Configuration.deprecation: mapreduce.map.class is deprecated. Instead, use mapreduce.job.map.class
14/10/28 18:13:32 INFO Configuration.deprecation: mapred.job.name is deprecated. Instead, use mapreduce.job.name
14/10/28 18:13:32 INFO Configuration.deprecation: mapreduce.reduce.class is deprecated. Instead, use mapreduce.job.reduce.class
14/10/28 18:13:32 INFO Configuration.deprecation: mapred.input.dir is deprecated. Instead, use mapreduce.input.fileinputformat.inputdir
14/10/28 18:13:32 INFO Configuration.deprecation: mapred.output.dir is deprecated. Instead, use mapreduce.output.fileoutputformat.outputdir
14/10/28 18:13:32 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps
14/10/28 18:13:32 INFO Configuration.deprecation: mapred.output.key.class is deprecated. Instead, use mapreduce.job.output.key.class
14/10/28 18:13:32 INFO Configuration.deprecation: mapred.working.dir is deprecated. Instead, use mapreduce.job.working.dir
14/10/28 18:13:34 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1414490582870_0002
14/10/28 18:13:35 INFO impl.YarnClientImpl: Submitted application application_1414490582870_0002 to ResourceManager at /0.0.0.0:8032
14/10/28 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_0002
14/10/28 18:14:12 INFO mapreduce.Job: Job job_1414490582870_0002 running in uber mode : false
14/10/28 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 : FAILED
Error: 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 : FAILED
Error: 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 : FAILED
Error: 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_000000
Job failed as tasks failed. failedMaps:0 failedReduces:1

14/10/28 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

 

    原文作者:MapReduce
    原文地址: https://www.cnblogs.com/sansan/p/4058098.html
    本文转自网络文章,转载此文章仅为分享知识,如有侵权,请联系博主进行删除。
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