使用yum安装CDH5

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wbj0110 2023-07-24 18:04:39 博主文章分类：Hadoop ©著作权

文章标签 Hadoop hadoop hdfs zookeeper 文章分类 JavaScript 前端开发

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环境

三台天翼云主机（node209, node452, node440）

OS：CentOS 6.5 64位

JDK：Oracle JDK 1.7.0_45

安装ZooKeeper（集群模式）

Node Type:

node229, node452, node440

1.所有节点安装zookeeper, zookeeper-server

yum install -y zookeeper zookeeper-server

2.所有节点修改zookeeper配置文件

vi /etc/zookeeper/conf/zoo.cfg

增加节点的配置

server.1=node229:2888:3888
server.2=node452:2888:3888
server.3=node440:2888:3888

3.所有节点初始化zookeeper-server

每个节点的myid唯一

node229:service zookeeper-server init --myid=1

node452:service zookeeper-server init --myid=2

node440:service zookeeper-server init --myid=3

4.所有节点启动zookeeper

service zookeeper-server start

5.查看zookeeper状态

zookeeper-server status

安装CDH（集群模式，HDFS+YARN）

Node Type:

namenode: node229

datanode: node229, node452, node440

yarn-resourcemanager: node452

yarn-nodemanager: node229, node452, node440

mapreduce-historyserver: node440

yarn-proxyserver: node440

node1:

yum install hadoop-hdfs-namenode

node2:

yum install hadoop-yarn-resourcemanager

node3:

yum install hadoop-mapreduce-historyserver hadoop-yarn-proxyserver

所有节点:

yum install hadoop-client

yum install hadoop-yarn-nodemanager hadoop-hdfs-datanode hadoop-mapreduce

部署CDH

1.部署HDFS

(1) 配置文件

core-site.xml

<property>
    <name>fs.defaultFS</name>
    <value>hdfs://node229:8020</value>
  </property> 
   

     
   
 
   
  <property>
    <name>fs.trash.interval</name>
    <value>1440</value>
  </property>

hdfs-site.xml

<property>
    <name>dfs.permissions.superusergroup</name>
    <value>hadoop</value>
  </property> 
   

     
   
 
   
  <property>
    <name>dfs.namenode.name.dir</name>
    <value>/hadoop/hdfs/namenode</value>
  </property> 
   
 
 
   
  <property>
    <name>dfs.datanode.data.dir</name>
    <value>/hadoop/hdfs/datanode</value>
  </property> 
   

     
   
 
   
  <property>
    <name>dfs.webhdfs.enabled</name>
    <value>true</value>
  </property>

slaves

node209

node452

node440

(2)创建namenode和datanode文件夹

namenode:

mkdir -p /hadoop/hdfs/namenode
chown -R hdfs:hdfs /hadoop/hdfs/namenode
chmod 700 /hadoop/hdfs/namenode

datanode:
mkdir -p /hadoop/hdfs/datanode
chown -R hdfs:hdfs /hadoop/hdfs/datanode
chmod 700 /hadoop/hdfs/datanode

(3)格式化namenode

sudo -u hdfs hadoop namenode -format

(4)启动hdfs

namenode(node209):

service hadoop-hdfs-namenode start

datanode(node209, node452, node440):

service hadoop-hdfs-datanode start

(for x in `cd /etc/init.d ; ls hadoop-hdfs-*` ; do sudo service $x start ; done)

(5)查看hdfs状态

sudo -u hdfs hdfs dfsadmin -report

sudo -u hdfs hadoop fs -ls -R -h /

(6)创建HDFS临时文件夹

sudo -u hdfs hadoop fs -mkdir /tmp

sudo -u hdfs hadoop fs -chmod -R 1777 /tmp

http://101.227.253.62:50070

2.部署YARN

(1)配置YARN

mapred-site.xml:

<property>
    <name>mapreduce.framework.name</name>
    <value>yarn</value>
  </property> 
   
 
 
   
  <property>
    <name>mapreduce.jobhistory.address</name>
    <value>node440:10020</value>
  </property>
    

  <property>
    <name>mapreduce.jobhistory.webapp.address</name>
    <value>node440:19888</value>
  </property>

yarn-site.xml

<property>
    <name>yarn.resourcemanager.address</name>
    <value>node452:8032</value>
  </property>

  <property>
    <name>yarn.resourcemanager.scheduler.address</name>
    <value>node452:8030</value>
  </property>

  <property>
    <name>yarn.resourcemanager.webapp.address</name>
    <value>node452:8088</value>
  </property>

  <property>
    <name>yarn.resourcemanager.resource-tracker.address</name>
    <value>node452:8031</value>
  </property>

  <property>
    <name>yarn.resourcemanager.admin.address</name>
    <value>node452:8033</value>
  </property>

  <property>
    <description>Classpath for typical applications.</description>
     <name>yarn.application.classpath</name>
     <value>
        $HADOOP_CONF_DIR,
        $HADOOP_COMMON_HOME/*,$HADOOP_COMMON_HOME/lib/*,
        $HADOOP_HDFS_HOME/*,$HADOOP_HDFS_HOME/lib/*,
        $HADOOP_MAPRED_HOME/*,$HADOOP_MAPRED_HOME/lib/*,
        
    $HADOOP_YARN_HOME/*,$HADOOP_YARN_HOME/lib/*
    
     </value>
    
  </property>
    

  <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.nodemanager.local-dirs</name>
    <value>/hadoop/data/yarn/local</value>
  </property>

  <property>
    <name>yarn.nodemanager.log-dirs</name>
    <value>/hadoop/data/yarn/logs</value>
  </property>

  <property>
    <name>yarn.aggregation.enable</name>
    <value>true</value>
  </property>

  <property>
    <description>Where to aggregate logs</description>
    <name>yarn.nodemanager.remote-app-log-dir</name>
    <value>/var/log/hadoop-yarn/apps</value>
  </property>

<property>
    <name>yarn.app.mapreduce.am.staging-dir</name>
    <value>/user</value>
  </property>

(2)所有nodemanager创建本地目录

sudo mkdir -p /hadoop/data/yarn/local
sudo chown -R yarn:yarn /hadoop/data/yarn/local

sudo mkdir -p /hadoop/data/yarn/logs
sudo chown -R yarn:yarn /hadoop/data/yarn/logs

(3)创建HDFS目录

sudo -u hdfs hadoop fs -mkdir -p /user/history
sudo -u hdfs hadoop fs -chmod -R 1777 /user/history
sudo -u hdfs hadoop fs -chown yarn /user/history

sudo -u hdfs hadoop fs -mkdir -p /var/log/hadoop-yarn
sudo -u hdfs hadoop fs -chown yarn:mapred /var/log/hadoop-yarn

(4)启动YARN

ResourceManager(node452):
sudo service hadoop-yarn-resourcemanager start

NodeManager(node209, node452, node440):
sudo service hadoop-yarn-nodemanager start

MapReduce JobHistory Server(node440):
sudo service hadoop-mapreduce-historyserver start

(5)创建YARN的HDFS用户目录

sudo -u hdfs hadoop fs -mkdir -p /user/$USER
sudo -u hdfs hadoop fs -chown $USER /user/$USER

(6)测试

查看节点状态

yarn node -all -list

hadoop jar /usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar randomwriter input

(7)关闭

sudo service hadoop-yarn-resourcemanager stop

sudo service hadoop-yarn-nodemanager stop

sudo service hadoop-mapreduce-historyserver stop

http://101.227.253.63:8088/

安装和部署HBase

Node Type:

hbase-master: node229, node440
hbase-regionserver: node229, node452, node440
hbase-thrift: node440
hbase-rest: node229, node452, node440

1.安装HBase

(1)修改配置

/etc/security/limits.conf，增加配置
hdfs - nofile 32768
hbase - nofile 32768

hdfs-site.xml，增加配置

<property>
    
    <name>dfs.datanode.max.xcievers</name>
    
    <value>4096</value>
    
  </property>

(2)安装HBase

hbase-master:

sudo yum install hbase hbase-master
hbase-regionserver:

sudo yum install hbase hbase-regionserver
hbase-thrift:

sudo yum install hbase-thrift
hbase-rest:

sudo yum install hbase-rest

(3)配置HBase

hbase-site.xml

<property>
    <name>hbase.rest.port</name>
    <value>60050</value>
  </property>

  <property>
    <name>hbase.zookeeper.quorum</name>
    <value>node229, node452, node440</value>
  </property>

  <property>
    <name>hbase.cluster.distributed</name>
    <value>true</value>
  </property>

  <property>
    <name>hbase.tmp.dir</name>
    <value>/hadoop/hbase</value>
  </property>

  <property>
    <name>hbase.rootdir</name>
    <value>hdfs://node229:8020/hbase/
    </value> 
   
  </property>

(4)创建本地目录

mkdir -p /hadoop/hbase

chown -R hbase:hbase /hadoop/hbase

(5)创建hbase的HDFS目录

sudo -u hdfs hadoop fs -mkdir /hbase/

sudo -u hdfs hadoop fs -chown hbase /hbase

(6)启动HBase

hbase-master:

sudo service hbase-master start

sudo service hbase-regionserver start

sudo service hbase-thrift start

sudo service hbase-rest start