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Hadoop2.0 配置 yarn 成功,记住这个成功的一刻,把几个主要文件贴出来:
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相关阅读:
Ubuntu 13.04 上搭建 Hadoop 环境 http://www.linuxidc.com/Linux/2013-06/86106.htm
Ubuntu 12.10 +Hadoop 1.2.1 版本集群配置 http://www.linuxidc.com/Linux/2013-09/90600.htm
Ubuntu 上搭建 Hadoop 环境(单机模式 + 伪分布模式)http://www.linuxidc.com/Linux/2013-01/77681.htm
Ubuntu 下 Hadoop 环境的配置 http://www.linuxidc.com/Linux/2012-11/74539.htm
单机版搭建 Hadoop 环境图文教程详解 http://www.linuxidc.com/Linux/2012-02/53927.htm
Hadoop LZO 安装教程 http://www.linuxidc.com/Linux/2013-01/78397.htm
Hadoop 集群上使用 Lzo 压缩 http://www.linuxidc.com/Linux/2012-05/60554.htm
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core-site.xml:
<?xml version=”1.0″?>
<?xml-stylesheet type=”text/xsl” href=”https://www.linuxidc.com/Linux/2014-05/configuration.xsl”?>
<!– Put site-specific property overrides in this file. –>
<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://fc20:9000</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>/home/ljq/hadoop/tmp</value>
</property>
<property>
<name>hadoop.native.lib</name>
<value>false</value>
<description>Should native hadoop libraries, if present, be used.</description>
</property>
</configuration>
hdfs-site.xml:
<?xml version=”1.0″?>
<?xml-stylesheet type=”text/xsl” href=”https://www.linuxidc.com/Linux/2014-05/configuration.xsl”?>
<!– Put site-specific property overrides in this file. –>
<configuration>
<property>
<name>dfs.replication</name>
<value>1</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>/home/ljq/hadoop/dfs/name</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>/home/ljq/hadoop/dfs/data</value>
</property>
</configuration>
mapred-site.xml:
<?xml version=”1.0″?>
<?xml-stylesheet type=”text/xsl” href=”https://www.linuxidc.com/Linux/2014-05/configuration.xsl”?>
<!– Put site-specific property overrides in this file. –>
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value> 一定是小写 yarn 否则出现错误:java.lang.IllegalStateException: Invalid shuffle port number -1
</property>
</configuration>
yarn-site.xml: 文件里所有 yarn 都必须小写, 否则相应的端口信息找不到, 会在默认端口上启动进程
<?xml version=”1.0″?>
<configuration>
<!– Site specific YARN configuration properties –>
<property>
<description>The hostname of the RM.</description>
<name>yarn.resourcemanager.hostname</name>
<value>fc20</value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce.shuffle</value>
</property>
<property>
<description>The address of the applications manager interface in the RM.</description>
<name>yarn.resourcemanager.address</name>
<value>fc20:18004</value>
</property>
<property>
<description>The address of the scheduler interface.</description>
<name>yarn.resourcemanager.scheduler.address</name>
<value>fc20:18003</value>
</property>
<property>
<description>The address of the RM web application.</description>
<name>yarn.resourcemanager.webapp.address</name>
<value>fc20:18008</value>
</property>
<property>
<description>The address of the resource tracker interface.</description>
<name>yarn.resourcemanager.resource-tracker.address</name>
<value>fc20:18006</value>
</property>
</configuration>
通过 netstat 可以看见相应端口已经启动
运行 wordcount 以及自己写的 mapreduce 可以成功完成!
更多 Hadoop 相关信息见Hadoop 专题页面 http://www.linuxidc.com/topicnews.aspx?tid=13