sparksql -自定义函数保存到mysql ---开窗函数( row_number() over ) 自定义函数(UDF) ?(输出到文件,输出到mysql)

 1 package com.bawei.foryk
 2  
 3 import java.util.Properties
 4  
 5 import org.apache.spark.rdd.RDD
 6 import org.apache.spark.sql.{DataFrame, SparkSession}
 7  
 8 
 9 case class Student(name:String,sex:String,age:Int)
10 object SparkSqlReview01 {
11   def main(args: Array[String]): Unit = {
12     val spark: SparkSession = SparkSession
13       .builder()
14       .appName("SparkSqlTraffic01")
15       .master("local")
16       .getOrCreate()
17  
18     //读取文件创建RDD
19     val lineRDD: RDD[String] = spark.sparkContext.textFile("./traffic/data.txt")
20  
21     val studentRDD: RDD[Student] = lineRDD.map(line => {
22       val strings: Array[String] = line.split(",")
23       Student(strings(0), strings(1), strings(2).toInt)
24     })
25  
26     import spark.implicits._
27     val studentDF: DataFrame = studentRDD.toDF()
28  
29     studentDF.createOrReplaceTempView("student")
30  
31     val resultDF: DataFrame = spark.sql("select * from student where age <20")
32  
33     val prop =new Properties()
34     prop.setProperty("user","root")
35     prop.setProperty("password","")
36  
37     resultDF.write.jdbc("jdbc:mysql://localhost:3306/test?createDatabaseIfNotExist=true&characterEncoding=UTF-8","student",prop)
38  
39  
40  
41     spark.stop()
42  
43   }
44  
45 }

 

sparksql -自定义函数保存到mysql ---开窗函数( row_number() over ) 自定义函数(UDF) ?(输出到文件,输出到mysql)

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