Hadoop+Hive（MySQL）+Hbase+zookeeper

一、hadoop安装

虚拟机（centos7）

Master：192.168.0.228

Slave：192.168.0.207

软件

apache-hive-1.2.1-bin.tar.gz

hadoop-2.6.0-cdh5.4.8.tar.gz

jdk-8u65-linux-x64.tar.gz

mysql-connector-java-5.1.31-bin.jar

hbase-0.98.15-hadoop2-bin.tar

zookeeper-3.4.6.tar

1.关闭防火墙

  Systemctl disable firewalld.service

  Systemctl stop   firewalld.service

  Setenforce 0

  Vim /etc/selinux/config  永久关闭

  将SELINUX=enforce改为SELINUX=disable

2.配置主机名

  192.168.0.228: echo “master” > /etc/hostname

  192.168.0.207:  echo “slave” > /etc/hostname

3.主机间解析

  在两台机器/etc/hosts文件下添加ip地址和主机名

   

4.配置SSH互信

  master 

  yum  -y install  sshpass

  ssh-keygen 一路回车

  ssh-copy-id -i ~/.ssh/id_rsa.pub [email protected]

slave

  yum  -y install  sshpass

  ssh-keygen 一路回车

  ssh-copy-id -i ~/.ssh/id_rsa.pub [email protected]

 

如图，OK

5.安装JDK

  两台机器都需要配置

  tar zxvf jdk-8u65-linux-x64.tar.gz

  mv jdk1.8.0_65  /usr/jdk

  设置环境变量

  Vim /etc/profile

export JAVA_HOME=/usr/jdk

export JRE_HOME=/usr/jdk/jre

export CLASSPATH=.:$CLASSPATH:$JAVA_HOME/lib:$JRE_HOME/lib

export PATH=$PATH:$JAVA_HOME/bin:$JRE_HOME/bin

执行 source  /etc/profile

测试

java -version，如图

 

 

6.安装Hadoop

  tar zxvf hadoop-2.6.0-cdh5.4.8.tar.gz

  mv hadoop-2.6.0-cdh5.4.8  /usr/hadoop

  cd  /usr/hadoop

  mkdir -p dfs/name

  mkdir -p dfs/data

  mkdir -p tmp

 6.1编辑配置文件

     Salves

     yarn-env.sh

     Yarn-site.xml

     mapred-site.xml

     hdfs-env.sh

     core-site.xml

     Hadoop-env.sh

 

cd /usr/hadoop/etc/hadoop

 vim slaves

 192.168.0.220   #添加slaveIP

 

vim hadoop-env.sh / vim yarn-env.sh

export JAVA_HOME=/usr/jdk   #加入java变量

 

Vim core-site.xml

<configuration>

        <property>

                <name>fs.defaultFS</name>

                <value>hdfs://192.168.0.228:9000</value>

        </property>

        <property>

                <name>io.file.buffer.size</name>

                <value>131702</value>

        </property>

        <property>

                <name>hadoop.tmp.dir</name>

                <value>file:/usr/hadoop/tmp</value>

        </property>

        <property>

                <name>hadoop.proxyuser.hadoop.hosts</name>

                <value>*</value>

        </property>

        <property>

                <name>hadoop.proxyuser.hadoop.groups</name>

                <value>*</value>

        </property>

</configuration>

 

 

Vim hdfs-site.xml

<configuration>

        <property>

                <name>dfs.namenode.name.dir</name>

                <value>:/usr/hadoop/dfs/name</value>

        </property>

        <property>

                <name>dfs.datanode.data.dir</name>

                <value>:/usr/hadoop/dfs/data</value>

        </property>

        <property>

                <name>dfs.replication</name>

                <value>2</value>

        </property>

        <property>

                <name>dfs.namenode.secondary.http-address</name>

                <value>192.168.0.228:9001</value>

        </property>

        <property>

                <name>dfs.webhdfs.enabled</name>

                <value>true</value>

        </property>

</configuration>

 

Vim mapred-site.xml

<configuration>

        <property>

                <name>mapreduce.framework.name</name>

                <value>yarn</value>

        </property>

        <property>

                <name>mapreduce.jobhistory.address</name>

                <value>192.168.0.228:10020</value>

        </property>

        <property>

                <name>mapreduce.jobhistory.webapp.address</name>

                <value>192.168.0.228:19888</value>

        </property>

</configuration>

 

 

 

Vim yarn-site.xml

<configuration>

        <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.resourcemanager.address</name>

                <value>192.168.0.228:8032</value>

        </property>

        <property>

                <name>yarn.resourcemanager.scheduler.address</name>

                <value>192.168.0.228:8030</value>

        </property>

        <property>

                <name>yarn.resourcemanager.resource-tracker.address</name>

                <value>192.168.0.228:8031</value>

        </property>

        <property>

                <name>yarn.resourcemanager.admin.address</name>

                <value>192.168.0.228:8033</value>

        </property>

        <property>

                <name>yarn.resourcemanager.webapp.address</name>

                <value>192.168.0.228:8088</value>

        </property>

        <property>

                <name>yarn.nodemanager.resource.memory-mb</name>

                <value>768</value>

        </property>

</configuration>

把目录拷贝到slave机器上

scp -r /usr/hadoop [email protected]:/usr/

 

格式化namenode

./bin/hdfs namenode -format

启动hdfs

./sbin/start-dfs.sh  ./sbin/start-yarn.sh

使用jps测试

 

 

 

 

 

 

访问192.168.0.228:50070

 

192.168.0.228:8088

 

 

 

安装MySQL和Hive

本地模式：这种模式是将元数据保存在本地数据库中（一般是MySQL）。这样可以支持多用户，多会话。

MySQL：

wget http://dev.mysql.com/get/mysql-community-release-el7-5.noarch.rpm

rpm -ivh mysql-community-release-el7-5.noarch.rpm

yum -y install mysql-community-server

systemctl start mysql  启动

mysqladmin -uroot password ‘password’为root设置密码

mysql -uroot -ppassword

Create database hive;  创建hive库

grant all on hive.* to 'hive'@'localhost' identified by ‘hive’; 授权

 

Hive

tar zxf apache-hive-1.2.1-bin.tar.gz

mv apache-hive-1.2.1-bin/ /usr/hadoop/hive

配置变量

vim /etc/profile

export HIVE_HOME=/usr/hadoop/hive

export PATH=$HIVE_HOME/bin:$HIVE_HOME/conf:$PATH

执行 source /etc/profile

 

mv mysql-connector-java-5.1.31-bin.jar /usr/hadoop/hive/lib 

将JDBC驱动包拷贝到hive的lib下

 

 

cd /usr/hadoop/hive/conf

 

Cp hive-default.xml.template hive-site.xml

 

Vim hive-site.xml 更改配置文件

 

 

Cd /usr/hadoop/hive/bin/

 启动Hive

 

 

 

安装zookeeper和Hbase

1.Zookeeper

   Master配置如下：

   tar zxf zookeeper-3.4.6.tar

   mv zookeeper-3.4.6 /usr/hadoop/zookeeper

   更改文件的拥有者

   Chown -R root:root /usr/hadoop/zookeeper

   cd /usr/hadoop/zookeeper

   mkdir data  创建zookeeper数据存储目录

  

   配置变量 vim /etc/profile

   加入export ZOOKEEPER_HOME=/usr/hadoop/zookeeper

        export PATH=$PATH:$ZOOKEEPER_HOME/bin

   执行 source /etc/profile

   配置文件存放在conf/目录下，将zoo_sample.cfd文件名称改为zoo.cfg,  配置如下：

   Cp zoo_sample.cfd zoo.cfg

Vim zoo.cfg

 

 

tickTime=2000

initLimit=10

syncLimit=5

dataDir=/usr/hadoop/zookeeper/data

clientPort=2181

输入master和slave的ip地址或主机名：

server.1=192.168.0.228:2888:3888

server.2=192.168.0.207:2888:3888

 

mkdir data/myid    创建myid文件

Vim myid

填写zoo.cfg中本机ip前面server.后边的数字

1

 

将文件拷贝器slave节点

scp -r /usr/hadoop/zookeeper/ [email protected]:/root/hadoop/

 

 

Slave配置：

     配置变量 vim /etc/profile

   加入export ZOOKEEPER_HOME=/usr/hadoop/zookeeper

        export PATH=$PATH:$ZOOKEEPER_HOME/bin

   执行 source /etc/profile

 

Cd /usr/hadoop/zookeeper/data

  mkdir data/myid    创建myid文件

  Vim myid

  填写zoo.cfg中本机ip前面server.后边的数字

  2

 

启动:

　　[root@master bin]# /usr/hadoop/zookeeper/bin/zkServer.sh start

　　输入jps查看，如图

　　   

　　安装Hbase

　　   1、tar解压hbase安装包 

      2、配置hbase 

      a、/conf/hbase-env.sh 

      export JAVA_HOME= /usr/jdk

      export HBASE_MANAGES_ZK=false (可以启用hbase自带的zookeeper，这样也   不用单独安装zookeeper了，如单独安装了，配为false) 

    b、conf/hbase-site.xml 

   该配置采用了hbase自带的zookeeper 

<configuration> 

<property> 

<name>hbase.rootdir</name> s

<value>hdfs://master:9000/hbase</value> 

</property> 

<property> 

<name>hbase.cluster.distributed</name> 

<value>true</value> 

</property> 

<property> 

<name>hbase.zookeeper.quorum</name> 

<value>slave1,slave2,slave3</value> 

</property> 

<property> 

<name>dfs.replication</name> 

<value>2</value> 

<description> 

</description> 

</property> 

</configuration> 

单独安装的zookeeper采用如下配置 

regionservers<configuration> 

<property> 

<name>hbase.rootdir</name> 

<value>hdfs://master:9000/hbase</value> 

</property> 

<property> 

<name>hbase.cluster.distributed</name> 

<value>true</value> 

</property> 

<property> 

<name>hbase.zookeeper.quorum</name> 

<value>master,slave1,slave2,slave3</value> 

</property> 

<property> 

<name>dfs.replication</name> 

<value>2</value> 

<description> 

</description> 

</property> 

 

<property> 

<name>hbase.zookeeper.property.dataDir</name> 

<value> 

    /home/hadoop/zk</value> 

<description> 

</description> 

</property> 

 

 

   

</configuration>注意hbase.rootdir配置需要与hadoop的配置一致。 

c、conf/regionservers 

slave1 

slave2 

slave3 

到此hbase的配置已完成，用scp命令复制到slave1~salve3中。 

 

启动hbase， 

start-hbase.sh 

用jps观看是否启动正常，或通过浏览器查看，master:60010。