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一、实验环境
1.软件版本:apache-hive-2.3.0-bin.tar.gz、mysql-community-server-5.7.19
2.mysql JDBC驱动包:mysql-connector-java-5.1.44.tar.gz
3.mysql已经安装在hadoop5上
4..主机规划
hadoop3 | Remote:client |
hadoop5 | Remote:server;mysql |
二、基础配置
1.解压并移动hive
[root@hadoop5 ~]# tar -zxf apache-hive-2.3.0-bin.tar.gz [root@hadoop5 ~]# cp -r apache-hive-2.3.0-bin /usr/local/hive
2.修改环境变量
[root@hadoop5 ~]# vim /etc/profile export HIVE_HOME=/usr/local/hive export PATH=$HIVE_HOME/bin:$PATH [root@hadoop5 ~]# source /etc/profile
3.复制初始文件
[root@hadoop5 ~]# cd /usr/local/hive/conf/ [root@hadoop5 conf]# cp hive-env.sh.template hive-env.sh [root@hadoop5 conf]# cp hive-default.xml.template hive-site.xml [root@hadoop5 conf]# cp hive-log4j2.properties.template hive-log4j2.properties [root@hadoop5 conf]# cp hive-exec-log4j2.properties.template hive-exec-log4j2.properties
4.修改hive-env.sh文件
[root@hadoop5 conf]# vim hive-env.sh #在最后添加 export JAVA_HOME=/usr/local/jdk export HADOOP_HOME=/usr/local/hadoop export HIVE_HOME=/usr/local/hive export HIVE_CONF_DIR=/usr/local/hive/conf
5.拷贝mysql的JDBC驱动包
[root@hadoop5 ~]# tar -zxf mysql-connector-java-5.1.44.tar.gz [root@hadoop5 ~]# cp mysql-connector-java-5.1.44/mysql-connector-java-5.1.44-bin.jar /usr/local/hive/lib/
6.在hdfs中创建一下目录,并授权,用于存储文件
hdfs dfs -mkdir -p /user/hive/warehouse hdfs dfs -mkdir -p /user/hive/tmp hdfs dfs -mkdir -p /user/hive/log hdfs dfs -chmod -R 777 /user/hive/warehouse hdfs dfs -chmod -R 777 /user/hive/tmp hdfs dfs -chmod -R 777 /user/hive/log
7.在mysql中创建相关用户和库
mysql> create database metastore; Query OK, 1 row affected (0.03 sec) mysql> set global validate_password_policy=0; Query OK, 0 rows affected (0.26 sec) mysql> grant all on metastore.* to hive@'%' identified by 'hive123456'; Query OK, 0 rows affected, 1 warning (0.03 sec) mysql> flush privileges; Query OK, 0 rows affected (0.00 sec)
7.使用scp将hive拷贝到hadoop3上
[root@hadoop5 ~]# scp -r /usr/local/hive root@hadoop3:/usr/local/
三、修改配置文件
1.服务端hive-site.xml的配置
<configuration> <property> <name>hive.exec.scratchdir</name> <value>/user/hive/tmp</value> </property> <property> <name>hive.metastore.warehouse.dir</name> <value>/user/hive/warehouse</value> </property> <property> <name>hive.querylog.location</name> <value>/user/hive/log</value> </property> <property> <name>javax.jdo.option.ConnectionURL</name> <value>jdbc:mysql://hadoop5:3306/metastore?createDatabaseIfNotExist=true&characterEncoding=UTF-8&useSSL=false</value> </property> <property> <name>javax.jdo.option.ConnectionDriverName</name> <value>com.mysql.jdbc.Driver</value> </property> <property> <name>javax.jdo.option.ConnectionUserName</name> <value>hive</value> </property> <property> <name>javax.jdo.option.ConnectionPassword</name> <value>hive123456</value> </property> </configuration>
2.客户端hive-site.xml的配置
<configuration> <property> <name>hive.metastore.uris</name> <value>thrift://hadoop5:9083</value> </property> <property> <name>hive.exec.scratchdir</name> <value>/user/hive/tmp</value> </property> <property> <name>hive.metastore.warehouse.dir</name> <value>/user/hive/warehouse</value> </property> <property> <name>hive.querylog.location</name> <value>/user/hive/log</value> </property> <property> <name>hive.metastore.local</name> <value>false</value> </property> </configuration>
四、启动hive(两种方式)
首先格式化数据库
schematool --dbType mysql --initSchema
1.直接启动
service:
[root@hadoop5 ~]# hive --service metastore
client:
[root@hadoop3 ~]# hive hive> show databases; OK default Time taken: 1.599 seconds, Fetched: 1 row(s) hive> quit;
2.beeline方式
需要先在hadoop的core-site.xml中添加配置
<property> <name>hadoop.proxyuser.root.groups</name> <value>*</value> </property> <property> <name>hadoop.proxyuser.root.hosts</name> <value>*</value> </property>
service:
[root@hadoop5 ~]# nohup hiveserver2 & [root@hadoop5 ~]# netstat -nptl | grep 10000 tcp 0 0 0.0.0.0:10000 0.0.0.0:* LISTEN 3464/java
client:
[root@hadoop3 ~]# beeline Beeline version 1.2.1.spark2 by Apache Hive beeline>
beeline> !connect jdbc:hive2://hadoop5:10000 hive hive123456 Connecting to jdbc:hive2://hadoop5:10000 17/09/21 09:47:31 INFO jdbc.Utils: Supplied authorities: hadoop5:10000 17/09/21 09:47:31 INFO jdbc.Utils: Resolved authority: hadoop5:10000 17/09/21 09:47:31 INFO jdbc.HiveConnection: Will try to open client transport with JDBC Uri: jdbc:hive2://hadoop5:10000 Connected to: Apache Hive (version 2.3.0) Driver: Hive JDBC (version 1.2.1.spark2) Transaction isolation: TRANSACTION_REPEATABLE_READ 0: jdbc:hive2://hadoop5:10000> show databases; +----------------+--+ | database_name | +----------------+--+ | default | +----------------+--+ 1 row selected (2.258 seconds)
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