数据建设实践之大数据平台(五)安装hive

安装hive

上传安装包到/opt/software目录并解压

bash 复制代码

[bigdata@node101 software]$ tar -zxvf hive-3.1.3-with-spark-3.3.1.tar.gz -C /opt/services
[bigdata@node101 services]$ mv apache-hive-3.1.3-bin apache-hive-3.1.3

配置环境变量

bash 复制代码

export JAVA_HOME=/opt/services/jdk1.8.0_161
export ZK_HOME=/opt/services/zookeeper-3.5.7
export HADOOP_HOME=/opt/services/hadoop-3.3.5
export HIVE_HOME=/opt/services/apache-hive-3.1.3
export PATH=$PATH:$JAVA_HOME/bin:$ZK_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$HIVE_HOME/bin

分发环境变量

bash 复制代码

[bigdata@node101 bin]$ sudo ./bin/xsync /etc/profile.d/bigdata_env.sh

刷新环境变量，5台机器上执行

bash 复制代码

[bigdata@node101 ~]$ source /etc/profile

上传mysql驱动包到hive的lib目录下

bash 复制代码

[bigdata@node101 software]$ cp mysql-connector-java-8.0.18.jar /opt/services/apache-hive-3.1.3/lib/

解决jar包冲突

bash 复制代码

[bigdata@node101 ~]$ mv $HIVE_HOME/lib/log4j-slf4j-impl-2.17.1.jar $HIVE_HOME/lib/log4j-slf4j-impl-2.17.1.jar.bak

配置hive-site.xml文件

XML 复制代码

<property>
		<name>javax.jdo.option.ConnectionURL</name>
		<value>jdbc:mysql://node101:3306/metastore?useSSL=false&amp;useUnicode=true&amp;characterEncoding=UTF-8&amp;allowPublicKeyRetrieval=true</value>
	</property>
	<!-- jdbc 连接的 Driver-->
	<property>
		<name>javax.jdo.option.ConnectionDriverName</name>
		<value>com.mysql.jdbc.Driver</value>
	</property>
	<!-- jdbc 连接的 username-->
	<property>
		<name>javax.jdo.option.ConnectionUserName</name>
		<value>root</value>
	</property>	
	<!-- jdbc 连接的 password -->
	<property>
		<name>javax.jdo.option.ConnectionPassword</name>
		<value>123456</value>
	</property>
	<!-- Hive 元数据存储版本的验证 -->
	<property>
		<name>hive.metastore.schema.verification</name>
		<value>false</value>
	</property>
	<!--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>
	<!-- 显示表头 -->
	<property>
    	<name>hive.cli.print.header</name>
		<value>true</value>
	</property>
	<!-- 显示当前库 -->
	<property>
    	<name>hive.cli.print.current.db</name>
		<value>true</value>
	</property>
	<!-- 配置元数据远程连接地址 -->
	<property>  
		<name>hive.metastore.uris</name>
		<value>thrift://node101:9083</value>  
	</property>
	<property>
			<name>hive.server2.thrift.port</name>
			<value>10000</value>
	</property>
	<property>
			<name>hive.server2.thrift.bind.host</name>
			<value>node101</value>
	</property>
	<property>
			<name>hive.users.in.admin.role</name>
			<value>bigdata</value>
	</property>	  
	<property>
			<name>hive.security.authorization.enabled</name>
			<value>true</value>
	</property>
	<!--Spark依赖位置-->
	<property>
	    <name>spark.yarn.jars</name>
	    <value>hdfs://mycluster:8020/spark-jars/*</value>
	</property>	  
	<!--Hive执行引擎-->
	<property>
	    <name>hive.execution.engine</name>
	    <value>spark</value>
	</property>
	<!--提交任务超时时间，单位ms-->
	<property>
	    <name>hive.spark.client.connect.timeout</name>
	    <value>100000ms</value>
	</property>

配置日志文件

bash 复制代码

[bigdata@node101 conf]$ cp hive-exec-log4j2.properties.template  hive-exec-log4j2.properties
[bigdata@node101 conf]$ cp hive-log4j2.properties.template hive-log4j2.properties

修改hive-log4j2.properties,添加日志目录

bash 复制代码

property.hive.log.dir = /opt/services/apache-hive-3.1.3/logs

编辑hive-env.sh

bash 复制代码

[bigdata@node101 conf]$ cp hive-env.sh.template hive-env.sh
[bigdata@node101 conf]$ vim hive-env.sh

bash 复制代码

export HADOOP_HEAPSIZE=1024

创建元数据库

bash 复制代码

[bigdata@node101 conf]$ mysql -uroot -p'123456'
mysql>  create database if not exists metastore  DEFAULT CHARACTER SET utf8 DEFAULT COLLATE utf8_general_ci;

初始化元数据库

bash 复制代码

[bigdata@node101 bin]$ schematool -initSchema -dbType mysql -verbose

修改编码集，解决乱码问题

bash 复制代码

mysql>  alter table DBS convert to character set utf8;                 
mysql>  alter table COLUMNS_V2 character set utf8;                 
mysql>  alter table COLUMNS_V2 change COMMENT COMMENT  varchar(256) character set utf8;                                     
mysql>  alter table TABLE_PARAMS change PARAM_VALUE    PARAM_VALUE mediumtext character set utf8;                       
mysql>  alter table PARTITION_KEYS change PKEY_COMMENT  PKEY_COMMENT varchar(4000) character set utf8;                    
mysql>  alter table PARTITION_KEYS character set utf8;

编写hive.sh脚本

bash 复制代码

[bigdata@node101 bin]$ vim  hive.sh

bash 复制代码

#!/bin/bash
echo ==================== 启动hive服务 =========================
echo ==================== 启动metastore服务 ====================
ssh node101 "nohup $HIVE_HOME/bin/hive --service metastore > $HIVE_HOME/logs/metastore.log 2>&1 &"
echo ==================== 启动hiveservice2服务 =================
ssh node101 "nohup $HIVE_HOME/bin/hive --service hiveserver2 > $HIVE_HOME/logs/hiveservice2.log 2>&1 &"

授权hive.sh

bash 复制代码

[bigdata@node101 bin]$ chmod +x hive.sh

分发hive.sh

bash 复制代码

[bigdata@node101 bin]$ xsync  hive.sh

copy到其他机器

bash 复制代码

[bigdata@node102 bin]$ scp -r bigdata@node101:/opt/services/apache-hive-3.1.3/ /opt/services/apache-hive-3.1.3/                          
[bigdata@node103 bin]$ scp -r bigdata@node101:/opt/services/apache-hive-3.1.3/ /opt/services/apache-hive-3.1.3/

启动hive

bash 复制代码

[bigdata@node101 bin]$ hive.sh start