使用yum安装CDH 5.1.0

CDH简介：

在Hadoop生态系统中，规模最大、知名度最高的公司则是Cloudera。现在国内很多公司也都选用他们的发行版本（CDH）。

CDH：一个对Apache Hadoop的集成环境的封装，可以使用Cloudera Manager进行自动化安装。CDH有企业版和免费版，下面介绍一下免费版可以使用的功能：

1、可以使用的组件
    HDFS ,MapReduce,Hive,hue,impala,oozie,sqoop,zookeeper,hbase
2、集群管理可以使用的功能
    节点的启动、停止、添加;可以创建管理员(all)和非管理员（only read）两种用户；组件的状态监控、配置信息修改;日志信息修改。

环境
三台主机：dev-cdh1, dev-cdh2, dev-cdh3
OS：CentOS 6.5 64位
JDK：Oracle JDK jdk-1.7.0_65

配置hosts记录

vi /etc/hosts
#hadoop(hdfs+hbase)
10.57.1.116  dev-cdh1
10.57.1.120  dev-cdh2
10.57.1.148  dev-cdh3

安装ZooKeeper（集群模式）

Node Type:
dev-cdh1, dev-cdh2, dev-cdh3

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=dev-cdh1:2888:3888
server.2=dev-cdh2:2888:3888
server.3=dev-cdh3:2888:3888

3.所有节点初始化zookeeper-server
每个节点的myid唯一

dev-cdh1:service zookeeper-server init --myid=1
dev-cdh2:service zookeeper-server init --myid=2
dev-cdh3: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: dev-cdh1
datanode: dev-cdh1, dev-cdh2, dev-cdh3
yarn-resourcemanager: dev-cdh2
yarn-nodemanager: dev-cdh1, dev-cdh2, dev-cdh3
mapreduce-historyserver: dev-cdh3
yarn-proxyserver: dev-cdh3

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://dev-cdh1:8020</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

dev-cdh1
dev-cdh2
dev-cdh3

(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(dev-cdh1):

service hadoop-hdfs-namenode start

datanode(dev-cdh1, dev-cdh2, dev-cdh3):

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://10.57.1.116:50070

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>dev-cdh3:10020</value>
  </property>
  <property>
    <name>mapreduce.jobhistory.webapp.address</name>
    <value>dev-cdh3:19888</value>
  </property>

yarn-site.xml

  <property>
    <name>yarn.resourcemanager.address</name>
    <value>dev-cdh2:8032</value>
  </property>
  <property>
    <name>yarn.resourcemanager.scheduler.address</name>
    <value>dev-cdh2:8030</value>
  </property>
  <property>
    <name>yarn.resourcemanager.webapp.address</name>
    <value>dev-cdh2:8088</value>
  </property>
  <property>
    <name>yarn.resourcemanager.resource-tracker.address</name>
    <value>dev-cdh2:8031</value>
  </property>
  <property>
    <name>yarn.resourcemanager.admin.address</name>
    <value>dev-cdh2:8033</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(dev-cdh2):

sudo service hadoop-yarn-resourcemanager start

NodeManager(dev-cdh1, dev-cdh2, dev-cdh3):

sudo service hadoop-yarn-nodemanager start

MapReduce JobHistory Server(dev-cdh3):

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://10.57.1.120:8088/

安装和部署HBase

Node Type:
hbase-master: dev-cdh1, dev-cdh3
hbase-regionserver: dev-cdh1, dev-cdh2, dev-cdh3
hbase-thrift: dev-cdh3
hbase-rest: dev-cdh1, dev-cdh2, dev-cdh3

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>dev-cdh1, dev-cdh2, dev-cdh3</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://dev-cdh1:8020/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
hbase-regionserver: 
sudo service hbase-regionserver start
hbase-thrift: 
sudo service hbase-thrift start
hbase-rest: 
sudo service hbase-rest start

http://10.57.1.116:60010

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