CHD-5.3.6集群安装

我是基于Apache-hadoop2.7.3版本安装成功后，已有的环境进行安装chd-5..6

已用的环境：

JDK版本：

java version "1.8.0_191"
Java(TM) SE Runtime Environment (build 1.8.0_191-b12)
Java HotSpot(TM) -Bit Server VM (build 25.191-b12, mixed mode)

三台机器已经免秘钥：

192.168.1.30 master
192.168.1.40 saver1
192.168.1.50 saver2

现有的安装包：

cdh5.3.6-snappy-lib-natirve.tar.gz
hadoop-2.5.-cdh5.3.6.tar.gz
hive-0.13.-cdh5.3.6.tar.gz
sqoop-1.4.-cdh5.3.6.tar.gz

开始安装：

1.上传上面的四个安装包到soft 目录

2.赋权

[hadoop@master soft]$ chmod  *

3.解压到指定目录

[hadoop@master soft]$ tar -xvf hadoop-2.5.-cdh5.3.6.tar.gz -C /home/hadoop/CDH5.3.6
tar -xvf hive-0.13.-cdh5.3.6.tar.gz -C /home/hadoop/CDH5.3.6

4.配置hadoop-env.sh

export JAVA_HOME=/usr/local/jdk1.

5.配置mapred-env.sh

export JAVA_HOME=/usr/local/jdk1.

6.配置core-sit.xml

<configuration>
        <!-- 指定hdfs的nameservice为ns1 -->
        <property>
          <name>fs.defaultFS</name>
          <value>hdfs://192.168.1.30:9000</value>
        </property>
        <!-- Size of read/write buffer used in SequenceFiles. -->
        <property>
          <name>io.file.buffer.size</name>
                <value></value>
                </property>
        <!-- 指定hadoop临时目录,自行创建 -->
        <property>
                <name>hadoop.tmp.dir</name>
                <value>//home/hadoop/CDH5.3.6/hadoop-2.5.0-cdh5.3.6/data/tmp</value>
        </property>

<property>
  <name>hadoop.proxyuser.hadoop.groups</name>
    <value>*</value>
    </property>
    <property>
      <name>hadoop.proxyuser.hadoop.hosts</name>
        <value>*</value>
        </property>
</configuration>

7.配置hdfs-site.xml

<configuration>
     <property>
       <name>dfs.namenode.secondary.http-address</name>
       <value>192.168.1.30:</value>
     </property>
     <property>
         <name>dfs.replication</name>
         <value></value>
     </property>
     <property>
       <name>dfs.namenode.name.dir</name>
       <value>file:/home/hadoop/CDH5.3.6/hadoop-2.5.-cdh5.3.6/hdfs/name</value>
     </property>
     <property>
        <name>dfs.datanode.data.dir</name>
        <value>file:/home/hadoop/CDH5.3.6/hadoop-2.5.-cdh5.3.6/hdfs/data</value>
    </property>
    <property>
      <name>dfs.webhdfs.enabled</name>
      <value>true</value>
     </property>

 </configuration>

8.配置slaves

master
saver1
saver2

9.拷贝到其他节点

scp -r /home/hadoop/CDH5.3.6 hadoop@saver1:/home/hadoop/
scp -r /home/hadoop/CDH5.3.6 hadoop@saver2:/home/hadoop/

10.格式化hadoop

[hadoop@master hadoop-2.5.-cdh5.3.6]$ bin/hdfs namenode -format

出现错误：

Error: Could not find or load main class org.apache.hadoop.hdfs.server.namenode.NameNode

解决方法：

因为没有HADOOP_HOME/share/hadoop/hdfs/× 这个路径，所以我在hadoop-XX\libexec\hadoop-config.sh最后自己加上
## 因为它的classpath中没有hdfs的路径，所以手动添加
CLASSPATH=${CLASSPATH}:$HADOOP_HDFS_HOME'/share/hadoop/hdfs/*'

成功格式化：

11.配置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.resourcemanager.address</name>
      <value>192.168.1.30:</value>
   </property>
   <property>
      <name>yarn.resourcemanager.scheduler.address</name>
      <value>192.168.1.30:</value>
    </property>
    <property>
       <name>yarn.resourcemanager.resource-tracker.address</name>
       <value>192.168.1.30:</value>
    </property>
    <property>
         <name>yarn.resourcemanager.admin.address</name>
         <value>192.168.1.30:</value>
   </property>
    <property>
        <name>yarn.resourcemanager.webapp.address</name>
        <value>192.168.1.30:</value>
    </property>

</configuration>

12.配置mapred-site.xml

<configuration>
        <property>
       　  <name>mapreduce.framework.name</name>
           <value>yarn</value>
         </property>
         <property>
             <name>mapreduce.jobhistory.address</name>
             <value>192.168.1.30:</value>
          </property>
        <property>
           <name>mapreduce.jobhistory.webapp.address</name>
           <value>192.168.1.30:</value>
        </property>
</configuration>

13，重启系统

14.启动服务：

[hadoop@master hadoop-2.5.-cdh5.3.6]$ sbin/hadoop-daemon.sh start namenode
starting namenode, logging to /home/hadoop/CDH5.3.6/hadoop-2.5.-cdh5.3.6/logs/hadoop-hadoop-namenode-master.out

[hadoop@master hadoop-2.5.-cdh5.3.6]$ sbin/hadoop-daemon.sh start datanode
starting datanode, logging to /home/hadoop/CDH5.3.6/hadoop-2.5.-cdh5.3.6/logs/hadoop-hadoop-datanode-master.out

[hadoop@master hadoop-2.5.-cdh5.3.6]$ sbin/yarn-daemon.sh start resourcemanager
starting resourcemanager, logging to /home/hadoop/CDH5.3.6/hadoop-2.5.-cdh5.3.6/logs/yarn-hadoop-resourcemanager-master.out

[hadoop@master hadoop-2.5.-cdh5.3.6]$ sbin/yarn-daemon.sh start nodemanager
starting nodemanager, logging to /home/hadoop/CDH5.3.6/hadoop-2.5.-cdh5.3.6/logs/yarn-hadoop-nodemanager-master.out

[hadoop@master hadoop-2.5.-cdh5.3.6]$ sbin/mr-jobhistory-daemon.sh start historyserver
starting historyserver, logging to /home/hadoop/CDH5.3.6/hadoop-2.5.-cdh5.3.6/logs/mapred-hadoop-historyserver-master.out

15.查看服务

[hadoop@master hadoop-2.5.-cdh5.3.6]$ jps
 NodeManager
 JobHistoryServer
 Jps
 DataNode
 ResourceManager
 NameNode