大数据学习——sparkSql对接hive
1. 安装mysql
2. 上传、解压、重命名
2.1. 上传
在随便一台有hadoop环境的机器上上传安装文件
su - hadoop
rz –y
2.2. 解压
解压缩:apache-hive-1.0.1-bin.tar.gz
tar -zxvf apache-hive-1.0.1-bin.tar.gz
2.3. 重命名
mv apache-hive-1.0.1-bin hive
3. 修改环境变量
su – root
vi /etc/profile
添加内容:
export HIVE_HOME=/home/hadoop/hive export PATH=$PATH::$HIVE_HOME/bin
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source /etc/profile
su - hadoop
4. 修改hive配置文件
<?xml version="1.0" encoding="UTF-8" standalone="no"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <!-- Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to You under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. --> <configuration> <property> <name>javax.jdo.option.ConnectionURL</name> <value>jdbc:mysql://192.168.56.204:3306/hive_metastore?createDatabaseIfNotExist=true</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> </configuration>
5. 上传mysql的包到hive的lib下
6. 验证安装
6.1. 通过命令行
hive
>show databases;
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