Hive的安装
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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
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解决Hive与Hadoop之间guava版本差异
cd /export/software/hive/ rm -rf lib/guava-19.0.jarcp cp /export/software/hadoop/hadoop-3.3.0/share/hadoop/common/lib/guava-27.0-jre.jar /export/software/hive/lib
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修改配置文件
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hive-env.sh
cd /export/software/hive/conf mv hive-env.sh.template hive-env.shvim 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
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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&useSSL=false&useUnicode=true&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>
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上传mysql jdbc驱动到hive安装包lib下
mysql-connector-java-5.1.32.jar
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初始化元数据
cd /export/software/hivebin/schematool -initSchema -dbType mysql -verbos #初始化成功会在mysql中创建74张表
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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;