hadoop-2.8.3 配置安装

ByteBye

发布于 2019-09-24 16:40:00

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发布于 2019-09-24 16:40:00

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centos hadoop install

hadoop-2.8.3

1. 环境

1. 资源分配 hostnameipenvtype node192.168.100.199jdk zk HaoopResourceManager QuorumPeerMain NameNode SecondaryNameNode node1192.168.100.101jdk zk HaoopQuorumPeerMain DataNode NodeManager node2192.168.100.102jdk zk HaoopQuorumPeerMain DataNode NodeManager node3192.168.100.103jdk zk HaoopQuorumPeerMain DataNode NodeManager
2. 通过ntp服务，使各节点时间同步

2. 配置文件

1. core-site.xml

    <property>
        <name>fs.defaultFS</name>
        <value>hdfs://node</value>
    </property>
    <property>
        <name>io.file.buffer.size</name>
        <value>131072</value>
    </property>
    <property>
        <name>hadoop.tmp.dir</name>
        <value>file:/opt/data/hadoop_data/tmp</value>
        <description>Abase for other temporary directories.</description>
    </property>

2. hdfs-site.xml

    <property>
        <name>dfs.namenode.name.dir</name>
        <value>file:/opt/data/hadoop_data/namenode</value>
    </property>
    <property>
        <name>dfs.blocksize</name>
        <value>268435456</value>
    </property>
    <!-- 设置namenode的rpc通讯地址 -->
    <property>
        <name>dfs.namenode.rpc-address</name>
        <value>node:8020</value>
    </property>
    <!-- 设置namenode的http通讯地址 -->
    <property>
        <name>dfs.namenode.http-address</name>
        <value>node:50070</value>
    </property>
    <!-- 设置namenode存放的路径 -->
    <property>
        <name>dfs.datanode.data.dir</name>
        <value>/opt/data/hadoop_data/dfs/data</value>
    </property>
    <!-- 设置hdfs副本数量 -->
    <property>
        <name>dfs.replication</name>
        <value>1</value>
    </property>
    <property>
        <name>dfs.webhdfs.enabled</name>
        <value>true</value>
    </property>
    <!-- 设置datanode存放的路径 -->
    <property>
        <name>dfs.datanode.data.dir</name>
        <value>/opt/data/hadoop_data/datanode</value>
    </property>
    <property>
        <name>dfs.permissions</name>
        <value>false</value>
    </property>
    <property>
        <name>dfs.permissions.enabled</name>
        <value>false</value>
    </property>

3. yarn-site.xml

    <!-- 设置 resourcemanager 在哪个节点-->
    <property>
        <name>yarn.resourcemanager.hostname</name>
        <value>node</value>
    </property>
    <!-- reducer取数据的方式是mapreduce_shuffle -->
    <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
    <property>
        <name>yarn.nodemanager.auxservices.mapreduce.shuffle.class</name>
        <value>org.apache.hadoop.mapred.ShuffleHandler</value>
    </property>
    <property>
        <name>yarn.nodemanager.vmem-check-enabled</name>
        <value>true</value>
    </property>

4. mapred-site.xml

    <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property>
    <property>
        <name>mapreduce.jobhistory.address</name>
        <value>node:10020</value>
    </property>
    <property>
        <name>mapreduce.jobhistory.webapp.address</name>
        <value>node:19888</value>
    </property>
    <property>
        <name>yarn.app.mapreduce.am.resource.mb</name>
        <value>768</value>
    </property>

5. masters

node

6. slaves

node1
node2
node3

7. zoo.cfg ( zookeeper )

tickTime=2000
initLimit=10
syncLimit=5
 #该路径下还需个节点分别创建myid文件，并设置和下面对应的id
dataDir=/opt/data/zookeeper_data/data
dataLogDir=/opt/data/zookeeper_data/log
clientPort=2181
server.1=node:2888:3888
server.2=node1:2888:3888
server.3=node2:2888:3888
server.4=node4:2888:3888