spark读文件写入mysql(scala版本)

 package com.zjlantone.hive

 import java.util.Properties

 import com.zjlantone.hive.SparkOperaterHive.sparkSession
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.types.StructType
 import org.apache.spark.{SparkConf, SparkContext}
 import org.apache.spark.sql._
 case class ManxingweiyanLis(diseaseName: String,cardId: String, lisName: String,lisResult:String,lisAndResult:String)
 object jangganHive {
   val sparkConf: SparkConf = new SparkConf().setAppName(jangganHive.getClass.getSimpleName)
   val sparkSession: SparkSession = SparkSession.builder().config(sparkConf).enableHiveSupport().getOrCreate()
   val url = "jdbc:mysql://192.168.4.732:3306/jianggan?Unicode=true&characterEncoding=utf8&autoReconnect=true&failOverReadOnly=false";
   def main(args: Array[String]): Unit = {
     assc
     sparkSession.stop()
   }

   def assc: Unit = {
     import sparkSession.implicits._
     import sparkSession.sql
     val df: DataFrame = sql("select cardId,lisName,lisresult,lisbet from janggan.gaozhixuelis where lisbet !=\"\" and lisName !=\"清洁度\"")
     val rdd: RDD[Row] = df.rdd
     //计算化验结果
     val operatorLis: RDD[(String, String)] = rdd.map(row => {
       var i = ""
       val cardID: String = row.get(0).toString
       val lisName: String = row.get(1).toString
       try {
         val lisResult: String = row.get(2).toString
         val lisBet: String = row.get(3).toString
         if (lisResult.contains("+")) {
           (cardID + "&" + lisName, "阳性")
         } else if(lisResult.contains("阴性") || lisResult.contains("-")){
           (cardID + "&" + lisName, "阴性")
         }else {
           val splits: Array[String] = lisBet.split("－|-")
           if (lisResult.toDouble > splits(1).toDouble) {
             i = "升高"
           } else if (lisResult.toDouble < splits(0).toDouble) {
             i = "降低"
           }else{
             i="正常"
           }
           (cardID + "&" + lisName, i)
         }
       } catch {
         case e: Exception => {
           (cardID + "&" + lisName, "数据异常")
         }
       }
     })

     val frame: DataFrame = operatorLis.map(x => {
       ManxingweiyanLis("高脂血症",x._1.split("&")(0), x._1.split("&")(1), x._2,x._1.split("&")(1)+x._2)
     }).toDF()
     val proprttity=new Properties()
     proprttity.put("user", "root")
     proprttity.put("password", "123456")
     proprttity.put("driver", "com.mysql.jdbc.Driver")
     frame.write.mode(SaveMode.Append).jdbc(url, "exceptionLis", proprttity)
   }
 }