安装Hive(独立模式 使用mysql连接)

安装Hive(独立模式 使用mysql连接)

1.默认安装了java+hadoop
2.下载对应hadoop版本的安装包
3.解压安装包
	tar zxvf apache-hive-1.2.1-bin.tar.gz
4.安装mysql
	yum -y install mysql-server mysql mysqldev  //需要以root身份运行   另外可能需要配置yum源
	mysql常用命令:
		service mysqld start/stop
		chkconfig mysqld on //加入开机启动 以系统root用户操作
5.授权mysql(以系统hadoop身份 数据库root身份进行操作)
	mysqladmin -u root password "root" //修改root密码为root
	mysql -uroot -p密码  (初始密码为空)
	
	create user ‘hive‘ identified by ‘hive‘; //创建用于连接的hive用户 密码为hive
	grant all privileges on *.* to ‘hive‘@‘%‘ identified by "hive" with grant option;
	flush privileges; //刷新权限
	
	grant all privileges on *.* to ‘hive‘@‘localhost‘ identified by "hive" with grant option;
	flush privileges; //刷新权限
	
	grant all privileges on *.* to ‘hive‘@‘hadoop.master‘ identified by "hive" with grant option;
	flush privileges; //刷新权限
	
	set global binlog_format=‘MIXED‘; //设置格式  必须执行。不然报错
	
	exit;
	service mysqld restart   //重启服务
6.测试连接
	mysql -hhadoop.master -uhive -phive  //能进去则表示设置成功
	create database hive; //创建连接数据库hive
	alter database hive character set latin1;
	
7.配置环境变量(/etc/profile)
	#hive
	export HIVE_HOME=/opt/hive-1.2.1
	export HIVE_AUX_JARS_PATH=/opt/hive-1.2.1/lib
	export HIVE_CONF_DIR=/opt/hive-1.2.1/conf
	export PATH=$PATH:$HIVE_HOME/bin
	export CLASSPATH=$CLASSPATH:$HIVE_HOME/lib
	保存退出
	source /etc/profile	
8.修改配置文件
	1.根据模版复制配置文件
		cp hive-default.xml.template hive-site.xml
		cp hive-env.sh.template hive-env.sh
		cp hive-log4j.properties.template hive-log4j.properties
	2.修改配置文件
		####hive-site.xml####
		//添加项目   --0.11 版本以后可不用添加此项
		<property>
		<name>hive.metastore.local</name>
		<value>false</value>
		</property>
		
		//修改项目
		<property>
		<name>javax.jdo.option.ConnectionURL</name>
		<value>jdbc:mysql://hadoop.master:3306/hive</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>hive</value>
		<description>Username to use against metastore database</description>
	    </property>
		
		<property>
		<name>javax.jdo.option.ConnectionPassword</name>
		<value>hive</value>
		<description>password to use against metastore database</description>
		</property>
		
		<property>
		<name>hive.exec.local.scratchdir</name>
		<value>/opt/hive-1.2.1/tmp</value>        //需要创建此目录
		<description>Local scratch space for Hive jobs</description>
		</property>
		
		<property>
		<name>hive.downloaded.resources.dir</name>
		<value>/opt/hive-1.2.1/tmp</value>
		<description>Temporary local directory for added resources in the remote file system.</description>
		</property>
		
		
		<property>
		<name>hive.hwi.war.file</name>
		<value>/opt/hive-1.2.1/lib/hive-hwi-1.2.1.jar</value>
		<description>This sets the path to the HWI war file, relative to ${HIVE_HOME}. </description>
	    </property>
		
		####hive-env.sh####
		HADOOP_HOME=/opt/hadoop-2.5.2
		
		####hive-log4j.properties####
		hive.log.threshold=ALL
		hive.root.logger=INFO,DRFA
		hive.log.dir=/opt/hive-1.2.1/logs  //需创建相应目录
		hive.log.file=hive.log
9.其他配置项
	1.hdfs上创建相应文件夹并修改权限
		hadoop fs -mkdir -p /tmp/hive
		hadoop fs -chmod 777 /tmp/hive
		hadoop fs -mkdir -p /user/hive
		hadoop fs -chmod 777 /user/hive
	2.修改hadoop hadoop-env.sh配置文件
		export HADOOP_CLASSPATH=$HADOOP_CLASSPATH:$CLASSPATH
	3.将mysql jdbc jar包拷贝到lib目录下
		cp mysql-connector-java-5.1.21.jar /opt/hive-1.2.1/lib
	4.将lib目录下的jline-2.12.jar 拷贝到/opt/hadoop-2.5.2/share/hadoop/yarn/lib下,并将相应包重属名
		cp /opt/hive-1.2.1/lib/jline-2.12.jar /opt/hadoop-2.5.2/share/hadoop/yarn/lib
		mv /opt/hadoop-2.5.2/share/hadoop/yarn/lib/jline-0.9.94.jar /opt/hadoop-2.5.2/share/hadoop/yarn/lib/jline-0.9.94.jar.bak
9.使用验证
    hive --service metastore & //开机首次执行
	hive -e	"show databases;" //运行完不报错即安装成功
	也可以使用hive命令行进去执行
10.常用命令
	1.显示
		show tables;
		show databases;
	2.定义
	  //添加外部分区表  推荐以后就是用这种表
		create external table access_info(ip string,access_date string,url string)
		partitioned by(logdate string) row format delimited fields terminated by ‘\t‘
		
		desc access_info;
	3.添加数据
		alter table access_info add partition(logdate=‘2016-01-15‘) location ‘/access‘; --加载文件hdfs实际路径  access为文件夹名称
		load data local inpath ‘/home/hadoop/huangzhijian/access.txt‘ into table access_info_local_file;  --加载本地文件
	3.查询
		select * from access_info;
	4.删除
		drop table access_info;  //外部表不会删除原本数据  内部表就会删除原数据
	
	//注意不能update
	
	5.其他
	    1.hive –f test.sql
		  ####test.sql####
		  select * from t1;
		  select count(*) from t1;
	    2.hive -e ‘hql语句‘
		3.hive -S -e ‘select * from t1‘(用法与第一种方式的静音模式一样，不会显示mapreduce的操作过程)
		4.hive -e ‘select * from t1‘  > test.txt  （将结果输出到本地文件中）