import java.util.Properties
import com.sun.org.apache.xalan.internal.xsltc.compiler.util.IntType
import org.apache.spark.sql.types._
import org.apache.spark.sql.{Row, SparkSession}
object JDBC_To_DF {
val spark= SparkSession.builder().getOrCreate()
import spark.implicits._
def main(args: Array[String]): Unit = {
val jdbcDF = spark.read.format("jdbc").option("url", "jdbc:mysql://localhost:3306/***") //*****这是数据库名
.option("driver", "com.mysql.jdbc.Driver").option("dbtable", "****")//*****是表名
.option("user", "*****").option("password", "*****").load()
jdbcDF.show()
val studentRDD=spark.sparkContext.parallelize(Array("3 小翠 G 27","4 小狗蛋 B 50"))
.map(x=>x.split(" "))
val ROWRDD=studentRDD.map(x=>Row(x(0).toInt,x(1).trim,x(2).trim,x(3).toInt))
ROWRDD.foreach(print)
//设置模式信息
val schema=StructType(List(StructField("id",IntegerType,true),StructField("name",StringType,true),StructField("gender",StringType,true),StructField("age", IntegerType, true)))
val studentDF=spark.createDataFrame(ROWRDD,schema)
val parameter=new Properties()
parameter.put("user","****")
parameter.put("password","****")
parameter.put("driver","com.mysql.jdbc.Driver")
studentDF.write.mode("append").jdbc("jdbc:mysql://localhost:3306/******","/*/*/*/*/*",parameter) //******"是数据库名，/*/*/*/*/*表名
jdbcDF.show()
}
}
