SPARK安装二：HADOOP集群部署

一、hadoop下载

使用2.7.6版本，因为公司生产环境是这个版本

cd /opt
wget http://mirrors.hust.edu.cn/apache/hadoop/common/hadoop-2.7.6/hadoop-2.7.6.tar.gz

二、配置文件

参考文档：https://hadoop.apache.org/docs/r2.7.6

在$HADOOP_HOME/etc/hadoop目录下需要配置7个文件

1.core-site.xml

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
    <property>
        <name>fs.defaultFS</name>
        <value>hdfs://pangu10:9000</value>
        <description>NameNode URI,hdfs处理对外端口</description>
    </property>
    <property>
        <name>hadoop.tmp.dir</name>
        <value>/opt/hdfs/tmp</value>
        <description>hdfs重新格式化时(如新增了一个datenode)需要删除这个临时目录</description>
    </property>
</configuration>

 2.hdfs-site.xml

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
    <property>
        <name>dfs.namenode.name.dir</name>
        <value>file:/opt/hdfs/name</value>
        <description>namenode上存储hdfs名字空间元数据 </description>
    </property>
    <property>
        <name>dfs.datanode.data.dir</name>
        <value>file:/opt/hdfs/data</value>
        <description>datanode上数据块的物理存储位置</description>
    </property>
    <property>
        <name>dfs.replication</name>
        <value>1</value>
        <description>设置dfs副本数，不设置默认是3个</description>
    </property>
    <property>
        <name>dfs.namenode.secondary.http-address</name>
        <value>pangu11:50090</value>
        <description>设置secondname的端口</description>
    </property>
</configuration>

3.yarn-site.xml

<?xml version="1.0"?>
<configuration>
    <property>
        <name>yarn.resourcemanager.hostname</name>
        <value>pangu10</value>
        <description>指定resourcemanager所在的hostname</description>
    </property>
    <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
        <description>NodeManager上运行的附属服务,需配置成mapreduce_shuffle，才可运行MapReduce程序</description>
    </property>

    <property>
        <name>yarn.nodemanager.pmem-check-enabled</name>
        <value>false</value>
    </property>

    <property>
        <name>yarn.nodemanager.vmem-check-enabled</name>
        <value>false</value>
    </property>
</configuration>

4.mapred-site.xml

<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
    <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
        <description>指定mapreduce使用yarn框架</description>
    </property>
</configuration>

5.slaves

pangu10
pangu11
pangu12

 6.yarn-env.sh

找到第23行

# export JAVA_HOME=/home/y/libexec/jdk1.6.0/

替换成

export JAVA_HOME=/opt/jdk1.8.0_181/

7.hadoop-env.sh

找到25行

export JAVA_HOME=${JAVA_HOME}

替换成

export JAVA_HOME=/opt/jdk1.8.0_181/

三、复制到slave

四、hdfs格式化

shell执行如下命令

hadoop namenode -format

如果出现下面红色的日志内容则格式化成功

18/10/12 12:38:33 INFO util.GSet: capacity = 2^15 = 32768 entries
18/10/12 12:38:33 INFO namenode.FSImage: Allocated new BlockPoolId: BP-1164998719-192.168.56.10-1539362313584
18/10/12 12:38:33 INFO common.Storage: Storage directory /opt/hdfs/name has been successfully formatted.
18/10/12 12:38:33 INFO namenode.FSImageFormatProtobuf: Saving image file /opt/hdfs/name/current/fsimage.ckpt_0000000000000000000 using no compression
18/10/12 12:38:33 INFO namenode.FSImageFormatProtobuf: Image file /opt/hdfs/name/current/fsimage.ckpt_0000000000000000000 of size 320 bytes saved in 0 seconds.
18/10/12 12:38:33 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0
18/10/12 12:38:33 INFO util.ExitUtil: Exiting with status 0
18/10/12 12:38:33 INFO namenode.NameNode: SHUTDOWN_MSG:
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at pangu10/192.168.56.10
************************************************************/

五、启动hadoop

原文地址：https://www.cnblogs.com/Netsharp/p/9780971.html