计算每个品牌每个月的销售额，到当前月的销售额，每个月到当前月的最大销售额

数据说明：
日期，品牌，销售额

计算每个品牌每个月的销售额，到当前月的销售额，每个月到当前月的最大销售额。

结果展示：
品牌 月份 当月销售额 截至到当前月的销售额 截至当前月的最大销售额
1 100 100 100
2 249 349 249
都要保存到MYSQL

import java.util.Properties

import org.apache.spark.rdd.RDD
import org.apache.spark.{SparkConf, SparkContext}
import org.apache.spark.sql.{DataFrame, SQLContext, SaveMode}

object Need1 {
  def main(args: Array[String]): Unit = {
    val conf = new SparkConf().setMaster("local").setAppName(this.getClass.getSimpleName)
    val sc = new SparkContext(conf)
    val sQLContext = new SQLContext(sc)
    import sQLContext.implicits._
    val sorceFile: RDD[String] = sc.textFile("E:\\五道口大数据\\吉祥spark开始\\20200205\\sparkSQL第二天需求\\需求1\\data.txt")
    val df: DataFrame = sorceFile.map(line => {
      val splits = line.split(",")

      (splits(0).substring(0,7), splits(1),splits(2))
    }).toDF("month", "brand", "money")
    df.createTempView("salesperson ")

    /**
      * 品牌	月份	当月销售额	截至到当前月的销售额	截至当前月的最大销售额
      * 1        100                   100                      100
      * 2        249                   349                      249
      *select name,months,sum(money) as money from t_store group by name,months
      * 我的答案select brand,year,month,sum(money) as money ,sum(sum(money))over(ORDER BY month ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)  as culmoney  ,
      * max(money) as maxmoney from salesperson group by brand,year,month
      * select brand,years,month from (select brand,month,month,sum(money) as money ,sum(sum(money))over(ORDER BY month ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)  as culmoney ,
      * max(money) as maxmoney from salesperson group by brand,month,years)
      */
    val result: DataFrame = sQLContext.sql(
      """
         select brand,month,month_money,
         sum(month_money) over(partition by brand order by month ) end_money,
         max(month_money) over(partition by brand order by month ) max_money
         from
         (select brand,month,sum(money) as month_money from salesperson
         group by brand,month)
      """.stripMargin)
    val url:String="jdbc:mysql://localhost:3306/stu?characterEncoding=utf-8&serverTimezone=Asia/Shanghai"
    val table:String="need02"
    val conn = new Properties()
    conn.setProperty("user","root")
    conn.setProperty("password","123")
    conn.setProperty("driver","com.mysql.jdbc.Driver")
    result.write.mode(SaveMode.Overwrite).jdbc(url,table,conn)
      sc.stop()


  }

}