Hive01

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
      
      
      
      	javax.jdo.option.ConnectionURL
      	jdbc:mysql://node1:3306/metastore?createDatabaseIfNotExist=true&useSSL=false&useUnicode=true&characterEncoding=UTF-8
      
      
      
      	javax.jdo.option.ConnectionDriverName
      	com.mysql.jdbc.Driver
      
      
      
      	javax.jdo.option.ConnectionUserName
      	root
      
      
      
      	javax.jdo.option.ConnectionPassword
      	123456
      
      
      
      
          hive.server2.thrift.bind.host
          node1
      
      
      
      
          hive.metastore.uris
          thrift://node1:9083
      
      
       
      
          hive.metastore.event.db.notification.api.auth
          false
           
      
      
      	hive.metastore.warehouse.dir
      	/user/hive/warehouse
       
         
      
      
      
  • 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

# 启动metastore服务
[root@node1 hive]$ bin/hive --service metastore &
[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;

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