Hive01_安装部署

Hive的安装

• 上传安装包 解压

  tar zxvf apache-hive-3.1.2-bin.tar.gz
  mv apache-hive-3.1.2-bin hive
  

• 解决Hive与Hadoop之间guava版本差异

  cd /export/software/hive/
  rm -rf lib/guava-19.0.jar
  
  cp cp /export/software/hadoop/hadoop-3.3.0/share/hadoop/common/lib/guava-27.0-jre.jar /export/software/hive/lib
  

• 修改配置文件

  • hive-env.sh

    cd /export/software/hive/conf
    mv hive-env.sh.template hive-env.sh
    
    vim hive-env.sh
    export HADOOP_HOME=/export/software/hadoop/hadoop-3.3.0
    export HIVE_CONF_DIR=/export/software/hive/conf
    export HIVE_AUX_JARS_PATH=/export/software/hive/lib
    

  • hive-site.xml

    vim hive-site.xml
    

    <configuration>
    <!-- 存储元数据mysql相关配置 -->
    <property>
    	<name>javax.jdo.option.ConnectionURL</name>
    	<value>jdbc:mysql://node1:3306/metastore?createDatabaseIfNotExist=true&amp;useSSL=false&amp;useUnicode=true&amp;characterEncoding=UTF-8</value>
    </property>
    
    <property>
    	<name>javax.jdo.option.ConnectionDriverName</name>
    	<value>com.mysql.jdbc.Driver</value>
    </property>
    
    <property>
    	<name>javax.jdo.option.ConnectionUserName</name>
    	<value>root</value>
    </property>
    
    <property>
    	<name>javax.jdo.option.ConnectionPassword</name>
    	<value>123456</value>
    </property>
    
    <!-- H2S运行绑定host -->
    <property>
        <name>hive.server2.thrift.bind.host</name>
        <value>node1</value>
    </property>
    
    <!-- 远程模式部署metastore metastore地址 -->
    <property>
        <name>hive.metastore.uris</name>
        <value>thrift://node1:9083</value>
    </property>
    
    <!-- 关闭元数据存储授权  --> 
    <property>
        <name>hive.metastore.event.db.notification.api.auth</name>
        <value>false</value>
    </property>     
    <!-- Hive 默认在 HDFS 的工作目录 -->
    <property>
    	<name>hive.metastore.warehouse.dir</name>
    	<value>/user/hive/warehouse</value>
    </property> 
       
    </configuration>
    
    

• 上传mysql jdbc驱动到hive安装包lib下

  mysql-connector-java-5.1.32.jar
  

• 初始化元数据

  cd /export/software/hive
  
  bin/schematool -initSchema -dbType mysql -verbos
  #初始化成功会在mysql中创建74张表
  

• 在hdfs创建hive存储目录（如存在则不用操作）

  hadoop fs -mkdir /tmp
  hadoop fs -mkdir -p /user/hive/warehouse
  hadoop fs -chmod g+w /tmp
  hadoop fs -chmod g+w /user/hive/warehouse
  

1）启动 Hive

[root@node1 hive]$ bin/hive

2）使用 Hive

hive> show databases;
hive> show tables;
hive> create table test (id int);
hive> insert into test values(1);
hive> select * from test;