Hadoop 在 windows 7 64位的配置（二）|非cygwin

第一次使用需要 hdfs namenode -format

一键启动和关闭hadoop

新建文本文档然后改名

start-hadoop.cmd

里面的内容

@echo off
cd /d %HADOOP_HOME%
cd sbin
start start-dfs.cmd
start start-yarn.cmd

双击直接能启动 hadoop的 DFS和YARN

这是第二个脚本

stop-hadoop.cmd

cd /d %hadoop_home%sbin
start stop-dfs.cmd
start stop-yarn.cmd

双击这个能关闭 hadoop

今天发现 Hadoop 2.4.1 的reducer 的 keyout valueout不支持 NullWritable。

问题：

log4j:WARN No appenders could be found for logger (org.apache.hadoop.util.Shell).
log4j:WARN Please initialize the log4j system properly.
log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.

解决方法

log4j.rootLogger=INFO, stdout
log4j.appender.stdout=org.apache.log4j.ConsoleAppender
log4j.appender.stdout.layout=org.apache.log4j.PatternLayout
log4j.appender.stdout.layout.ConversionPattern=%d %p [%c] - %m%n
log4j.appender.logfile=org.apache.log4j.FileAppender
log4j.appender.logfile.File=target/spring.log
log4j.appender.logfile.layout=org.apache.log4j.PatternLayout
log4j.appender.logfile.layout.ConversionPattern=%d %p [%c] - %m%n

这样在 eclipse下面就有输出文件了

参考资料：http://blog.csdn.net/hipercomer/article/details/27063577

问题：java.io.IOException: Mkdirs failed to create D:/hadoop-2.4.1/hadooptmp

解决方法：

	<property>
	<name>hadoop.tmp.dir</name>
	<value>d:/hadoop-2.4.1/tmp/hadoop-${user.name}</value>
	</property>

改成这个就可以了。看来hadoop.tmp.dir不能用file:///d:/hadoop-2.4.1这种写法。

新的问题：在Eclispe 上可以运行程序，但是cmd上不能运行，报错：

14/11/27 19:37:42 INFO ipc.Server: Socket Reader #1 for port 9000: readAndProces
s from client 127.0.0.1 threw exception [java.io.IOException: 远程主机强迫关闭了
一个现有的连接。]
java.io.IOException: 远程主机强迫关闭了一个现有的连接。

14/11/27 19:37:33 ERROR datanode.DataNode: xxxxx :50010:DataXceiver error proce
ssing READ_BLOCK operation src: /127.0.0.1:3349 dst: /127.0.0.1:50010
java.io.IOException: 远程主机强迫关闭了一个现有的连接。

14/11/27 19:20:19 INFO mapreduce.Job: Task Id : attempt_1417085699849_0001_r_000
000_1, Status : FAILED
Error: org.apache.hadoop.mapreduce.task.reduce.Shuffle$ShuffleError: error in sh
uffle in fetcher#1

有待解决。。。。

2014/11/27 21:58 已经解决

hdfs-site.xml

<configuration>
	<property> 
           　<name>dfs.replication</name> 
            <value>1</value> 
        </property> 

　　　　  <property>
             <name>dfs.namenode.name.dir</name>
            <value>file:///d:/hadoop-2.4.1/dfs/name</value>
         </property>
        	 <property>
             <name>dfs.datanode.data.dir</name>
             <value>file:///d:/hadoop-2.4.1/dfs/data</value>
         </property>
	
         <property>
              <name>dfs.datanode.socket.write.timeout</name>
              <value>6000000</value>
    	 </property>

         <property>
               <name>dfs.socket.timeout</name>
               <value>6000000</value>
    	 </property>
		<property>
        	<name>dfs.datanode.max.transfer.threads</name>
        	<value>8192</value> 
	</property>
</configuration>

mapred-site.xml

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


 <property>
  <name>mapred.job.tracker</name>
  <value>localhost:9001</value>
 </property>

 <property>
     <name>mapreduce.job.user.name</name>
     <value>%USERNAME%</value>
   </property>

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

  <property>
    <name>yarn.apps.stagingDir</name>
    <value>/user/%USERNAME%/staging</value>
  </property>

  <property>
    <name>mapreduce.jobtracker.address</name>
    <value>local</value>
  </property>

yarn-site.xml

<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.server.resourcemanager.address</name>
    <value>0.0.0.0:8020</value>
  </property>

  <property>
    <name>yarn.server.resourcemanager.application.expiry.interval</name>
    <value>60000</value>
  </property>

  <property>
    <name>yarn.server.nodemanager.address</name>
    <value>0.0.0.0:45454</value>
  </property>

  <property>
    <name>yarn.nodemanager.aux-services</name>
    <value>mapreduce_shuffle</value>
  </property>


  <property>
    <name>yarn.server.nodemanager.remote-app-log-dir</name>
    <value>D:/hadoop-2.4.1/logs/userlogs/applogs</value>
  </property>

  <property>
    <name>yarn.nodemanager.log-dirs</name>
    <value>D:/hadoop-2.4.1/logs/userlogs/yarnlogs</value>
  </property>

  <property>
    <name>yarn.server.mapreduce-appmanager.attempt-listener.bindAddress</name>
    <value>0.0.0.0</value>
  </property>

  <property>
    <name>yarn.server.mapreduce-appmanager.client-service.bindAddress</name>
    <value>0.0.0.0</value>
  </property>

  <property>
    <name>yarn.log-aggregation-enable</name>
    <value>true</value>
  </property>

  <property>
    <name>yarn.log-aggregation.retain-seconds</name>
    <value>-1</value>
  </property>

 
 
  <property>
       <name>yarn.application.classpath</name>
       <value>
         %HADOOP_CONF_DIR%,
            %HADOOP_HOME%etchadoop,
            %HADOOP_HOME%sharehadoopcommon*,
            %HADOOP_HOME%sharehadoopcommonlib*,
            %HADOOP_HOME%sharehadoophdfs*,
            %HADOOP_HOME%sharehadoophdfslib*,
            %HADOOP_HOME%sharehadoopmapreduce*,
            %HADOOP_HOME%sharehadoopmapreducelib*,
            %HADOOP_HOME%sharehadoopyarn*,
            %HADOOP_HOME%sharehadoopyarnlib*
       </value>
    </property>