hive分布式安装部署
hive的安装与部署
开始本次操作前,确保Hadoop和zk顺利启动。

如图所示,mysql server应安装在node2节点上,Hiver Client 安装在了
master 节点,MySql Server 安装在 node2 节点。
本次安装需要如下的安装包:
mysql-connector-java-5.1.5-bin.jar
apache-hive-2.3.7-bin.tar
首先在node2节点配置。
将mysql-connector-java-5.1.5-bin.jar传输到node2节点。
1.安装数据库(使用离线源)
[root@node2 ~]# yum -y install mariadb-server
2、启动mysql服务,并设置开机自启
[root@node2 ~]# systemctl start mariadb
[root@node2 ~]# systemctl enable mariadb
3、初始化mysql并设置密码并测试登陆mysql
[root@node2 ~]# mysql_secure_installation
**这里我的密码设置为000000。
4.登录数据库并且创建用户
[root@node2 ~]# mysql -u root -p000000
创建用户:
create user ‘root’@’%’ identified by ‘000000’;
允许远程连接:
grant all privileges on . to ‘root’@’%’ with grant option;
刷新权限:
flush privileges;
5、Node2将jar包发给node1
[root@node2 ~]# scp mysql-connector-java-5.1.5-bin.jar node1:/root
二、在master和node1节点配置
1、传输tar包到master节点
使用SecureFX进行传输
2、Master解压hive压缩包,并将解压后的文件输给node1
root@master ~]# tar -zxvf apache-hive-2.3.7-bin.tar.gz
[root@master ~]# scp apache-hive-2.3.7-bin node1:/root
3.修改环境变量(master和node1)
[root@master ~]# vi /etc/profile
[root@node1 ~]# vi /etc/profile
添加:
export HIVE_HOME=/root/apache-hive-2.3.7-bin export PATH=$PATH:$HIVE_HOME/bin验证环境变量:
[root@master ~]# source /etc/profile
[root@node1 ~]# source /etc/profile
4.mater配置客户端
更换jar包
[root@master ~]# cp /root/apache-hive-2.3.7-bin/lib/jline-2.12.jar /opt/bigdata/hadoop-3.0.0/lib
5、添加hive-site.xml
[root@master ~]# cd /usr/hive/apache-hive-2.3.7-bin/conf
[root@master conf]# vi hive-site.xml
<configuration>
<property>
<name>hive.metastore.warehouse.dir</name>
<value>/user/hive_remote/warehouse</value>
</property>
<property>
<name>hive.metastore.local</name>
<value>false</value>
</property>
<property>
<name>hive.metastore.uris</name>
<value>thrift://node1:9083</value>
</property>
</configuration>
6.在node1节点将jar包复制到lib中
[root@node1 ~]# cp mysql-connector-java-5.1.5-bin.jar apache-hive-2.3.7-bin/lib/
node1复制配置文件以及配置
[root@node1 ~]# cd /usr/hive/apache-hive-2.3.7-bin/conf
[root@node1 conf]# cp hive-env.sh.template hive-env.sh
在hive-env.sh添加:
HADOOP_HOME=/opt/bigdata/hadoop-3.0.0/(根据自己的真实路径来)
创建 hive-site.xml 文件
[root@node1 conf]# vi hive-site.xml
<configuration>
<property>
<name>hive.metastore.warehouse.dir</name>
<value>/user/hive_remote/warehouse</value>
</property>
<property>
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:mysql://node2:3306/hive?createDatabaseIfNotExist=true</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>000000</value>
</property>
<property>
<name>hive.metastore.schema.verification</name>
<value>false</value>
</property>
<property>
<name>datanucleus.schema.autoCreateAll</name>
<value>true</value>
</property>
</configuration>
启动hive,并进行测试操作(查看数据库)
[root@node1 ~]cd /usr/hive/apache-hive-2.3.7-bin/
[root@node1 apache-hive-2.3.7-bin]bin/hive
which: no hbase in (/opt/bigdata/hadoop-3.0.0/bin:/opt/bigdata/hadoop-3.0.0/sbin:/opt/bigdata/jdk1.8.0_161/bin:/root/zookeeper-3.4.14/bin:/opt/bigdata/hadoop-3.0.0/bin:/opt/bigdata/hadoop-3.0.0/sbin:/opt/bigdata/jdk1.8.0_161/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/root/apache-hive-2.3.7-bin/bin:/root/bin:/root/apache-hive-2.3.7-bin/bin)
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/root/apache-hive-2.3.7-bin/lib/log4j-slf4j-impl-2.6.2.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/opt/bigdata/hadoop-3.0.0/share/hadoop/common/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]Logging initialized using configuration in jar:file:/root/apache-hive-2.3.7-bin/lib/hive-common-2.3.7.jar!/hive-log4j2.properties Async: true
Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. Consider using a different execution engine (i.e. spark, tez) or using Hive 1.X releases.
hive> show databases;(查看数据库的命令)
OK
default
Time taken: 10.89 seconds, Fetched: 1 row(s)
hive>
自此hive搭建完毕!!!!
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