首先需要开启大数据集群环境，然后导入Hive和MySQL的驱动包，再创建MySQL和Hive的连接封装类

Hive连接封装类：

package Conn

import java.sql.{Connection, DriverManager}

object HiveConn {
  def conn(url:String,username:String,password:String):Connection = {
    Class.forName("org.apache.hive.jdbc.HiveDriver")
    val conn = DriverManager.getConnection(url,username,password)
    conn
  }
}

MySQL连接封装类：

package Conn

import java.sql.{Connection, DriverManager}

object MySQLConn {
  def Conn(url: String, username: String, password: String): Connection = {
    Class.forName("com.mysql.cj.jdbc.Driver")
    val conn = DriverManager.getConnection(url, username, password)
    conn
  }
}

在创建完连接之后就是将MySQL中的文件导出到文件，然后上传到hdfs中，然后hive从hdfs中直接读取文件到表中这么一个过程：

package Conn

object useMySQL {
  def main(args: Array[String]): Unit = {
    Export()
  }
  //传入要导出数据的标名
  def Export():Unit={
    val url = "jdbc:mysql://192.168.88.151:3306/shtd_store"
    val username = "root"
    val password = "hadoop"
    val MConn = MySQLConn.Conn(url, username, password)
    val MSQL = "select * from user_info into outfile '/var/lib/mysql-files/user_info.txt'"
    val MStat = MConn.createStatement()
    MStat.executeQuery(MSQL)
  }
  def exception():Unit = {
    val url = "jdbc:hive2://192.168.88.151:10000/shtd_store"
    val username = "root"
    val conn = HiveConn.conn(url,username,"")
    val HSQLInto = "load data infile '/var/lib/mysql-files/user_info.txt' into user_info"
    val stat = conn.createStatement()
    stat.executeQuery(HSQLInto)
  }
}

 在执行完导出数据到文件的方法之后，需要将文件上传大hdfs，然后提前在hive中建立好需要导入文件的表，然后就可以开始执行导入文件的方法了。