Spark2.2.0集群搭建部署之【HADOOP集群篇】

软件准备信息，详见Spark2.2.0集群搭建部署之【软件准备篇】

基础配置信息，详见Spark2.2.0集群搭建部署之【基础配置篇】

SSH无密访问，详见park2.2.0集群搭建部署之【无密访问篇】

将hadoop-2.7.7.tar.gz 进行解压

tar -zxvf hadoop-2.7.7.tar.gz

配置环境变量信息,vi /etc/profile

 export HADOOP_HOME=/root/xdb/hadoop-2.7.7

 export PATH=$PATH:$HADOOP_HOME/bin

 export PATH=$PATH:$HADOOP_HOME/sbin

 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_ROOT_LOGGER=INFO,console

 export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native

 export HADOOP_OPTS="-Djava.library.path=$HADOOP_HOME/lib"

刷新配置, source /etc/profile,以上配置在各个机器均做此操作。

修改$HADOOP_HOME/etc/hadoop/hadoop-env.sh

export JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk

即使环境变量中已经配置，此处必须修改，否则会报“JAVA_HOME is not set and could not be found.”。

修改$HADOOP_HOME/etc/hadoop/slaves

slave1

修改$HADOOP_HOME/etc/hadoop/core-site.xml

<configuration>
    <property>
	<name>fs.defaultFS</name>
	<value>hdfs://master:9000</value>
    </property>
    <property>
	<name>io.file.buffer.size</name>
	<value>131072</value>
    </property>
    <property>
	<name>hadoop.tmp.dir</name>
	<value>/root/xdb/hadoop-2.7.7/tmp</value>
    </property>	

</configuration>

修改$HADOOP_HOME/etc/hadoop/hdfs-site.xml

<configuration>
    <property>
	<name>dfs.namenode.secondary.http-address</name>
	<value>master:50090</value>
    </property>
    <property>
	<name>dfs.replication</name>
	<value>2</value>
    </property>
    <property>
	<name>dfs.namenode.name.dir</name>
	<value>file:/root/xdb/hadoop-2.7.7/hdfs/name</value>
    </property>
    <property>
	<name>dfs.datanode.data.dir</name>
	<value>file:/root/xdb/hadoop-2.7.7/hdfs/data</value>
    </property>
    <property>
	<name>dfs.namenode.datanode.registration.ip-hostname-check</name>
	<value>false</value>
    </property>
</configuration>

修改$HADOOP_HOME/etc/hadoop/mapred-site.xml （cp mapred-site.xml.template   mapred-site.xml）

<configuration>
    <property>
	<name>mapreduce.framework.name</name>
	<value>yarn</value>
    </property>
    <property>
	<name>mapreduce.jobhistory.address</name>
	<value>master:10020</value>
    </property>
    <property>
	<name>mapreduce.jobhistory.address</name>
	<value>master:19888</value>
    </property>
</configuration>

修改$HADOOP_HOME/etc/hadoop/yarn-site.xml

<configuration>

<!-- Site specific YARN configuration properties -->
    <property>
	<name>yarn.nodemanager.aux-services</name>
	<value>mapreduce_shuffle</value>
    </property>
    <property>
	<name>yarn.resourcemanager.address</name>
	<value>master:8032</value>
    </property>
    <property>
   	<name>yarn.resourcemanager.scheduler.address</name>
	<value>master:8030</value>
    </property>
    <property>
	<name>yarn.resourcemanager.resource-tracker.address</name>
	<value>master:8031</value>
    </property>
    <property>
	<name>yarn.resourcemanager.admin.address</name>
	<value>master:8033</value>
    </property>
    <property>
	<name>yarn.resourcemanager.webapp.address</name>
    	<value>master:8088</value>
    </property>
</configuration>

复制master节点的hadoop文件夹到slave1上。

scp -r hadoop-2.7.7 slave1:/root/xdb/

在master节点启动集群，启动之前格式化一下namenode

hadoop namenode -format

启动：

$HADOOP_HOME/sbin/start-all.sh

检查，各节点执行 jps

NameNode显示

DataNode显示

Hadoop管理界面, http://192.168.195.129:8088即可访问，可查看到active nodes节点有一条数据，即slave1.