〇、参考地址
1、Linux下编写脚本自动安装hive
2、如何运行.sh脚本文件
https://blog.csdn.net/weixin_55821558/article/details/125830542
3、hive教程：启动hiveserver2，通过jdbc方式访问hive☆
https://blog.csdn.net/a12355556/article/details/124565395
2、CDH安装hadoop与版本比较
https://www.freesion.com/article/8763708397/
一、代码编写
1、下载Hive
原生：http://archive.apache.org/dist/hive/hive-1.1.0/
CDH版本（已失效）：https://archive.cloudera.com/p/cdh5/cdh/5 注意：登录名为邮箱，密码大小写数字+符号!
命令下载（已失效）：wget https://archive.cloudera.com/cdh5/cdh/5/hive-1.1.0-cdh5.14.2.tar.gz
CDH5网盘备份：链接：https://pan.baidu.com/s/1XUGRMpjTbrJWDy9QCT9vTw?pwd=gmyf
比较：CDH版本比原生的兼容性更强，下载哪个都可以
2、编写脚本
vi hive_insatll.sh
echo "----------安装hive----------"
#-C 指定目录
tar -zxf /usr/local/hive-1.1.0-cdh5.14.2.tar.gz -C /usr/local/
#改名
mv /usr/local/hive-1.1.0-cdh5.14.2 /usr/local/hive110
#配置环境变量
echo '#hive' >>/etc/profile
echo 'export HIVE_HOME=/usr/local/hive110' >>/etc/profile
echo 'export PATH=$PATH:$HIVE_HOME/bin' >>/etc/profile
#创建配置文件hive-site.xml
touch /usr/local/hive110/conf/hive-site.xml
path="/usr/local/hive110/conf/hive-site.xml"
#编写配置
echo '<?xml version="1.0" encoding="UTF-8" standalone="no"?>' >> $path
echo '<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>' >> $path
echo '<configuration>' >> $path
#和jdbc如出一辙，更换自己的ip地址和用户名密码即可
echo '<property><name>javax.jdo.option.ConnectionURL</name><value>jdbc:mysql://192.168.91.137:3306/hive137?createDatabaseIfNotExist=true</value></property>' >> $path
echo '<property><name>javax.jdo.option.ConnectionDriverName</name><value>com.mysql.jdbc.Driver</value></property>' >> $path
echo '<property><name>javax.jdo.option.ConnectionUserName</name><value>root</value></property>' >> $path
echo '<property><name>javax.jdo.option.ConnectionPassword</name><value>123123</value></property>' >> $path
echo '<property><name>hive.server2.thift.client.user</name><value>root</value></property>' >> $path
echo '<property><name>hive.server2.thift.client.password</name><value>123123</value></property>' >> $path
echo '</configuration>' >>$path3、调用
添加执行权限：chmod u+x hive_insatll.sh
执行.sh文件：./hive_insatll.sh 或 sh hive_insatll.sh
4、使环境变量生效
source /etc/profile
二、运行后的其他操作
1、下载mysql的jar包
下载地址：https://mvnrepository.com/artifact/mysql/mysql-connector-java/5.1.38
其他jar包：mysql-binlog-connector-java、 eventuate-local-java-cdc-connector-mysql-binlog……
注意：已经转至新目录
2、放入hive110/lib目录
3、执行格式化操作
schematool -dbType mysql -initSchema
4、启动hiveserver2
前台启动：hive --service hiveserver2
后台启动：nohup hive --service hiveserver2 2>&1 &
组合使用: nohup [xxx 命令操作]> file 2>&1 &，表示将 xxx 命令运行的结 果输出到 file 中（第一个2表示错误输出，另外0表示标准输入，1表示标准输出）
三、配置与验证
1、beeline 客户端连接hive
连接：beeline -u jdbc:hive2://localhost:10000 -n root
执行语句：show databases;
2、java验证
（1）引入依赖
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-jdbc</artifactId>
<version>1.1.0</version>
<exclusions>
<exclusion>
<groupId>org.eclipse.jetty.aggregate</groupId>
<artifactId>jetty-all</artifactId>
</exclusion>
<exclusion>
<groupId>org.apache.hive</groupId>
<artifactId>hive-shims</artifactId>
</exclusion>
</exclusions>
</dependency>（2）代码验证
import java.sql.SQLException;
import java.sql.Connection;
import java.sql.ResultSet;
import java.sql.Statement;
import java.sql.DriverManager;
public class HiveAPITest {
private static String driverName = "org.apache.hive.jdbc.HiveDriver";
public static void main(String[] args) throws SQLException {
try {
Class.forName(driverName);
} catch (ClassNotFoundException e) {
// TODO Auto-generated catch block
e.printStackTrace();
System.exit(1);
}
//replace "hive" here with the name of the user the queries should run as
Connection con = DriverManager.getConnection("jdbc:hive2://localhost:10000/default",
"hive", "");
Statement stmt = con.createStatement();
String tableName = "testHiveDriverTable";
stmt.execute("drop table if exists " + tableName);
stmt.execute("create table " + tableName + " (key int, value string) row format delimited fields terminated by '\t'");
// show tables
String sql = "show tables '" + tableName + "'";
System.out.println("Running: " + sql);
ResultSet res = stmt.executeQuery(sql);
if (res.next()) {
System.out.println(res.getString(1));
}
// describe table
sql = "describe " + tableName;
System.out.println("Running: " + sql);
res = stmt.executeQuery(sql);
while (res.next()) {
System.out.println(res.getString(1) + "\t" + res.getString(2));
}
// load data into table
// NOTE: filepath has to be local to the hive server
// NOTE: /opt/tmp/a.txt is a \t separated file with two fields per line
String filepath = "/opt/tmp/a.txt";
sql = "load data local inpath '" + filepath + "' into table " + tableName;
System.out.println("Running: " + sql);
stmt.execute(sql);
// select * query
sql = "select * from " + tableName;
System.out.println("Running: " + sql);
res = stmt.executeQuery(sql);
while (res.next()) {
System.out.println(String.valueOf(res.getInt(1)) + "\t" + res.getString(2));
}
// regular hive query
sql = "select count(1) from " + tableName;
System.out.println("Running: " + sql);
res = stmt.executeQuery(sql);
while (res.next()) {
System.out.println(res.getString(1));
}
} }3、Zeppelin验证
（1）配置interpreter
（2）验证-Note
