通过Shell脚本自动安装Hive&JDBC测试&提供CDH5网盘地址

〇、参考地址

1、Linux下编写脚本自动安装hive

https://blog.csdn.net/weixin_44911081/article/details/121227024?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522163695916016780269859534%2522%252C%2522scm%2522%253A%252220140713.130102334.pc%255Fblog.%2522%257D&request_id=163695916016780269859534&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~blog~first_rank_v2~rank_v29-3-121227024.pc_v2_rank_blog_default&utm_term=hive&spm=1018.2226.3001.4450

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>' >> $path
echo '</configuration>' >>$path

3、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