spark更新mysql数据

import java.sql.{Connection, DriverManager}
import java.util.Properties

import org.apache.spark.sql.{DataFrame, SparkSession}

object Test01 {
  def main(args: Array[String]): Unit = {

    val spark = SparkSession.builder()
      .appName("Test01")
      .master("local[*]")
      .enableHiveSupport()
      .getOrCreate()
    import spark.implicits._
    //mysql的参数设置
    val url = "jdbc:mysql://192.168.245.131:3306/database"
    val user = "root"
    val password = "hadoop"
    val props = new Properties()
    props.put("user", user)
    props.put("password", password)
    props.setProperty("useSSL", "false")
    props.setProperty("useUnicode", "true")
    props.setProperty("characterEncoding", "utf8")
    
    var connection: Connection = null
    val seq: Seq[(Int, Int, Double)] = Seq((66666896,252666555,1001348.64),(66666669,3356533,999),(66666670,4444,8888))
    val df01: DataFrame = seq.toDF("userid","amount","changeamount")
    df01.show(false)
    df01.foreachPartition(tmp=>{
      try{
        classOf[com.mysql.jdbc.Driver]
        connection=DriverManager.getConnection(url,props)
        while (tmp.hasNext){
          val row = tmp.next()
          val unit = row.getAs[Int]("userid")
          val i = row.getAs[Int]("amount")
          val changeamount = row.getAs[Double]("changeamount")
          val df03 = s"update superset.test1 set  amount=$i  where userid = $unit and changeamount=$changeamount"
          println(df03)
          connection.createStatement().executeLargeUpdate(df03)
        }
      }catch {
        case e:Exception=>println(e.printStackTrace())
      }finally {
        connection.close()
      }
    })
    df.show(false)
  }
}

如果用submit执行spark的jar包，就需要上传mysql的连接jar包，

mysql-connector-java-5.1.41-bin 这个包名