Hive2.1.1集群搭建

作者: 咸鱼翻身记 | 来源:发表于2016-12-27 15:54 被阅读1269次

    软件环境:

    linux系统: CentOS6.7
    Hadoop版本: 2.6.5
    zookeeper版本: 3.4.8
    

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    主机配置:

    一共m1, m2, m3这五部机, 每部主机的用户名都为centos
    192.168.179.201: m1 
    192.168.179.202: m2 
    192.168.179.203: m3 
    
    m1: Zookeeper, Namenode, DataNode, ResourceManager, NodeManager, Master, Worker
    m2: Zookeeper, Namenode, DataNode, ResourceManager, NodeManager, Worker
    m3: Zookeeper, DataNode, NodeManager, Worker
    

    </br>

    集群搭建:

    一.搭建基本功能的Hive(注:Hive只在一个节点上安装即可)
    1.下载Hive2.1.1安装包
    http://www.apache.org/dyn/closer.cgi/hive/
    
    2.解压
    tar -zxvf hive-0.9.0.tar.gz -C /home/hadoop/soft
    
    3.配置环境变量
    vi /etc/profile
    
    # Hive
    export HIVE_HOME=/home/centos/soft/hive
    export HIVE_CONF_DIR=$HIVE_HOME/conf
    export CLASSPATH=$CLASSPATH:$HIVE_HOME/lib
    export PATH=$PATH:$HIVE_HOMW/bin
    
    source /etc/profile
    
    4.配置MySQL(注:切换到root用户)
    1. 卸载CentOS自带的MySQL
    rpm -qa | grep mysql
    rpm -e mysql-libs-5.1.66-2.el6_3.i686 --nodeps
    yum -y install mysql-server
    
    1. 初始化MySQL
      (1) 修改mysql的密码(root权限执行)
    cd  /usr/bin
    
    ./mysql_secure_installation
    

    (2) 输入当前MySQL数据库的密码为root, 初始时root是没有密码的, 所以直接回车

    Enter current password for root (enter for none):
    

    (3) 设置MySQL中root用户的密码(应与下面Hive配置一致,下面设置为123456)

    Set root password? [Y/n] Y
    New password: 
    Re-enter new password: 
    Password updated successfully!
    Reloading privilege tables..
    ... Success!
    

    (4)删除匿名用户

    Remove anonymous users? [Y/n] Y
    ... Success!
    

    (5)是否不允许用户远程连接,选择N

    Disallow root login remotely? [Y/n] N
    ... Success!
    

    (6)删除test数据库

      Remove test database and access to it? [Y/n] Y
      - Dropping test database...
      ... Success!
      - Removing privileges on test database...
      ... Success!
    

    (7)重装

    Reload privilege tables now? [Y/n] Y
    ... Success!
    

    (8)完成

    All done!  If you've completed all of the above steps, your MySQL
    installation should now be secure.
    Thanks for using MySQL!
    

    (9)登陆mysql

    mysql -uroot -p
    
    GRANT ALL PRIVILEGES ON *.* TO 'root'@'%' IDENTIFIED BY '123' WITH GRANT OPTION;
    FLUSH PRIVILEGES;
    
    exit;
    

    至此MySQL配置完成


    </br>

    5.配置Hive

    1.将hive-env.sh.template文件复制为hive-env.sh, 编辑hive-env.xml文件

    JAVA_HOME=/home/centos/soft/jdk
    HADOOP_HOME=/home/centos/soft/hadoop
    HIVE_HOME=/home/centos/soft/hive
    export HIVE_CONF_DIR=$HIVE_HOME/conf
    export HIVE_AUX_JARS_PATH=$SPARK_HOME/lib/spark-assembly-1.6.0-hadoop2.6.0.jar
    export CLASSPATH=$CLASSPATH:$JAVA_HOME/lib:$HADOOP_HOME/lib:$HIVE_HOME/lib
    export HADOOP_OPTS="-Dorg.xerial.snappy.tempdir=/tmp -Dorg.xerial.snappy.lib.name=libsnappyjava.jnilib $HADOOP_OPTS"
    

    2.配置hive-site.xml文件, 将hive-default.xml.template文件拷贝为hive-default.xml, 并编辑hive-site.xml文件(删除所有内容,只留一个<configuration></configuration>)

    配置项参考:
    hive.server2.thrift.port– TCP 的监听端口,默认为10000。  
    hive.server2.thrift.bind.host– TCP绑定的主机,默认为localhost  
    hive.server2.thrift.min.worker.threads– 最小工作线程数,默认为5。  
    hive.server2.thrift.max.worker.threads – 最小工作线程数,默认为500。  
      
    hive.server2.transport.mode – 默认值为binary(TCP),可选值HTTP。  
    hive.server2.thrift.http.port– HTTP的监听端口,默认值为10001。  
    hive.server2.thrift.http.path – 服务的端点名称,默认为 cliservice。  
    hive.server2.thrift.http.min.worker.threads– 服务池中的最小工作线程,默认为5。  
    hive.server2.thrift.http.max.worker.threads– 服务池中的最小工作线程,默认为500。 
    
    <configuration>
    <property>
        <name>javax.jdo.option.ConnectionURL</name>
        <value>jdbc:mysql://m1:3306/hive?createDatabaseIfNotExist=true</value>
        <description>JDBC connect string for a JDBC metastore</description>
    </property>
    <property>
        <name>javax.jdo.option.ConnectionDriverName</name>
        <value>com.mysql.jdbc.Driver</value>
        <description>Driver class name for a JDBC metastore</description>
    </property>
    <property>
        <name>javax.jdo.option.ConnectionUserName</name>
        <value>root</value>
        <description>username to use against metastore database</description>
    </property>
    <property>
        <name>javax.jdo.option.ConnectionPassword</name>
        <value>123</value>
        <description>password to use against metastore database</description>
    </property>
    <property>
        <name>datanucleus.autoCreateSchema</name>
        <value>true</value>
    </property>
    <property>
        <name>datanucleus.autoCreateTables</name>
        <value>true</value>
    </property>
    <property>
        <name>datanucleus.autoCreateColumns</name>
        <value>true</value>
    </property>
    <!-- 设置 hive仓库的HDFS上的位置 -->
    <property>
        <name>hive.metastore.warehouse.dir</name>
        <value>/hive</value>
        <description>location of default database for the warehouse</description>
    </property>
    <!--资源临时文件存放位置 -->
    <property>
        <name>hive.downloaded.resources.dir</name>
        <value>/home/centos/soft/hive/tmp/resources</value>
        <description>Temporary local directory for added resources in the remote file system.</description>
     </property>
     <!-- Hive在0.9版本之前需要设置hive.exec.dynamic.partition为true, Hive在0.9版本之后默认为true -->
    <property>
        <name>hive.exec.dynamic.partition</name>
        <value>true</value>
     </property>
    <property>
        <name>hive.exec.dynamic.partition.mode</name>
        <value>nonstrict</value>
     </property>
    <!-- 修改日志位置 -->
    <property>
        <name>hive.exec.local.scratchdir</name>
        <value>/home/centos/soft/hive/tmp/HiveJobsLog</value>
        <description>Local scratch space for Hive jobs</description>
    </property>
    <property>
        <name>hive.downloaded.resources.dir</name>
        <value>/home/centos/soft/hive/tmp/ResourcesLog</value>
        <description>Temporary local directory for added resources in the remote file system.</description>
    </property>
    <property>
        <name>hive.querylog.location</name>
        <value>/home/centos/soft/hive/tmp/HiveRunLog</value>
        <description>Location of Hive run time structured log file</description>
    </property>
    <property>
        <name>hive.server2.logging.operation.log.location</name>
        <value>/home/centos/soft/hive/tmp/OpertitionLog</value>
        <description>Top level directory where operation tmp are stored if logging functionality is enabled</description>
    </property>
    <!-- 配置HWI接口 -->
    <property>  
        <name>hive.hwi.war.file</name>  
        <value>/home/centos/soft/hive/lib/hive-hwi-2.1.1.jar</value>  
        <description>This sets the path to the HWI war file, relative to ${HIVE_HOME}. </description>  
    </property>  
    <property>  
        <name>hive.hwi.listen.host</name>  
        <value>m1</value>  
        <description>This is the host address the Hive Web Interface will listen on</description>  
    </property>  
    <property>  
        <name>hive.hwi.listen.port</name>  
        <value>9999</value>  
        <description>This is the port the Hive Web Interface will listen on</description>  
    </property>
    <!-- Hiveserver2已经不再需要hive.metastore.local这个配置项了(hive.metastore.uris为空,则表示是metastore在本地,否则就是远程)远程的话直接配置hive.metastore.uris即可 -->
    <!-- property>
        <name>hive.metastore.uris</name>
        <value>thrift://m1:9083</value>
        <description>Thrift URI for the remote metastore. Used by metastore client to connect to remote metastore.</description>
    </property --> 
    <property>
        <name>hive.server2.thrift.bind.host</name>
        <value>m1</value>
    </property>
    <property>
        <name>hive.server2.thrift.port</name>
        <value>10000</value>
    </property>
    <property>
        <name>hive.server2.thrift.http.port</name>
        <value>10001</value>
    </property>
    <property>
        <name>hive.server2.thrift.http.path</name>
        <value>cliservice</value>
    </property>
    <!-- HiveServer2的WEB UI -->
    <property>
        <name>hive.server2.webui.host</name>
        <value>m1</value>
    </property>
    <property>
        <name>hive.server2.webui.port</name>
        <value>10002</value>
    </property>
    <property>
        <name>hive.scratch.dir.permission</name>
        <value>755</value>
    </property>
    <!-- 下面hive.aux.jars.path这个属性里面你这个jar包地址如果是本地的记住前面要加file://不然找不到, 而且会报org.apache.hadoop.hive.contrib.serde2.RegexSerDe错误 -->
    <property>
        <name>hive.aux.jars.path</name>
        <value>file:///home/centos/soft/spark/lib/spark-assembly-1.6.0-hadoop2.6.0.jar</value>
    </property>
    <property>
        <name>hive.server2.enable.doAs</name>
        <value>false</value>
    </property>   
    <!-- property>
        <name>hive.server2.authentication</name>
        <value>NOSASL</value>
    </property -->
    <property>
        <name>hive.auto.convert.join</name>
        <value>false</value>
    </property>
    </configuration>
    <property>
        <name>spark.dynamicAllocation.enabled</name>
        <value>true</value>
        <description>动态分配资源</description>  
    </property>
    <!-- 使用Hive on spark时,若不设置下列该配置会出现内存溢出异常 -->
    <property>
        <name>spark.driver.extraJavaOptions</name>
        <value>-XX:PermSize=128M -XX:MaxPermSize=512M</value>
    </property>
    </configuration>
    

    3.配置日志地址, 修改hive-log4j.properties文件

    cp hive-log4j.properties.template hive-log4j.properties
    
    vi hive-log4j.properties
    
    hive.log.dir=/home/centos/soft/hive/tmp     ## 将hive.log日志的位置改为${HIVE_HOME}/tmp目录下
    
    mkdir ${HIVE_HOME}/tmp
    

    4.配置$HIVE_HOME/conf/hive-config.sh文件

    ## 增加以下三行
    export JAVA_HOME=/home/centos/soft/java
    export HIVE_HOME=/home/centos/soft/hive
    export HADOOP_HOME=/home/centos/soft/hadoop
    ## 修改下列该行
    HIVE_CONF_DIR=$HIVE_HOME/conf
    

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    6.将JDBC的jar包放入$HIVE_HOME/lib目录下
    cp /home/centos/soft/tar.gz/mysql-connector-java-5.1.6-bin.jar  /home/centos/soft/hive/lib/
    

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    7.拷贝jline扩展包

    $HIVE_HOME/lib目录下的jline-2.12.jar包拷贝到$HADOOP_HOME/share/hadoop/yarn/lib目录下,并删除$HADOOP_HOME/share/hadoop/yarn/lib目录下旧版本的jline


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    8.复制$JAVA_HOME/lib目录下的tools.jar$HIVE_HOME/lib
    cp  $JAVA_HOME/lib/tools.jar  ${HIVE_HOME}/lib
    

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    9.执行初始化Hive操作

    选用MySQLysqlDerby二者之一为元数据库
    注意:先查看MySQL中是否有残留的Hive元数据,若有,需先删除

    schematool -dbType mysql -initSchema    ## MySQL作为元数据库
    

    其中mysql表示用mysql做为存储hive元数据的数据库, 若不用mysql做为元数据库, 则执行

    schematool -dbType derby -initSchema    ## Derby作为元数据库
    

    脚本hive-schema-1.2.1.mysql.sql会在配置的Hive元数据库中初始化创建表


    </br>

    10.启动Metastore服务

    执行Hive前, 须先启动metastore服务, 否则会报错

    ./hive --service metastore
    

    然后打开另一个终端窗口,之后再启动Hive进程


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    11.测试
    hive
    
    show databases;
    show tables;
    create table book (id bigint, name string) row format delimited fields terminated by '\t'; 
    select * from book;
    select count(*) from book;
    

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