标签：des style blog http io os ar 使用 java
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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 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。
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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 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
标签：des style blog http io os ar 使用 java
原文地址：http://www.cnblogs.com/sansan/p/4058098.html
