spark2.2jdbc写入mysql 的两种方法（append,Overriedwrite)-不用Mysql建表

import org.apache.spark.{SparkConf, SparkContext}
import org.apache.spark.sql.{SQLContext, SaveMode}
import org.apache.spark.sql.hive.HiveContext


//spark-shell --driver-class-path /home/hadoop/hive/lib/mysql-connector-java-5.1.46.jar
object playuser {
  def main(args: Array[String]): Unit = {
    val cf = new SparkConf().setMaster("master").setAppName("NetworkWordCount")
    val sc = new SparkContext(cf)
    val sqlContext = new SQLContext(sc)
    val hc = new HiveContext(sc)
    val format = new java.text.SimpleDateFormat("yyyy-MM-dd")
    val date = format.format(new java.util.Date().getTime - 20 * 24 * 60 * 60 * 1000)
   // val lg = sc.textFile("hdfs://master:9000/data/" + date + "*/01/*.gz")
   val lg = sc.textFile("hdfs://master:9000/data/2018-05-1*/21/*.gz")

    //val date1 = format.format(("27648000000").toLong)
    val url ="jdbc:mysql://196.168.100.88:3306/sharpbi?user=biadmin&password=bi_12345"
    //val url2 = "jdbc:mysql://rds3dabp9v2v7v596tai.mysql.rds.aliyuncs.com/r2d2?user=r2d2_admin&password=Vj0kHdve3"



    // insert into mysql
    import sqlContext.implicits._



    val filed2=lg.map(l=>(
      l.split("modeType":"").last.split(""").head.replace("{","null"),
      l.split("packageName":"").last.split(""").head.replace("{","null"),
      l.split("siteName":"").last.split(""").head.replace("{","null"),
      l.split("playType":"").last.split(""").head.replace("{","null"),
      format.format(l.split("rectime":").last.split(",").head.replace("{","27648000000").toLong),
      format.format(l.split("time":"").last.split(""").head.replace("{","27648000000").toLong),
      l.split("playtime":"").last.split(""").head.replace("{","null").toString,
      l.split("custom_uuid":"").last.split(""").head.replace("{","null").toString
    )).toDF("modeType","packageName","siteName","playType","rectimedate","timedate","playtime","custom_uuid").registerTempTable("playuser")

    val playuser = sqlContext.sql("select modeType,packageName,siteName,playType,rectimedate,timedate,sum(playtime) as playtime,count(custom_uuid) as playstotal,count(distinct custom_uuid) customtotal from  playuser group  by modeType,packageName,siteName,playType,rectimedate,timedate")

    val prop = new java.util.Properties
    //append 是增
    playuser.write.mode("append").jdbc(url, "sharpbi.playuser", prop)
    // F1.write.mode("Overwrite").jdbc(url, "sharpbi.test", prop) 重新建表，覆盖原数据
    // F1.insertIntoJDBC(url, "day_uv", false)
    val stud_scoreDF = sqlContext.read.jdbc(url,"sharpbi.playuser",prop)
    stud_scoreDF.count()




  }
}