package sparkRdd_practice
import java.sql.DriverManager
import org.apache.spark.rdd.JdbcRDD
import org.apache.spark.{SparkConf, SparkContext}
/**
* @Description * @Author 黄仁议<[email protected]>
* @Version V1.0
* @Since 1.0
* @Date 2019/5/31 0031 14:34
* @Description * @ClassName JdbcRDDDemo
*/
object JdbcRDDDemo {
def main (args: Array[String]): Unit = {
val conf:SparkConf = new SparkConf().setAppName("JdbcDemo").setMaster("local[4]")
val sc:SparkContext = new SparkContext(conf)
val jdbcurl = "jdbc:mysql://10.0.16.64:3306/mydb?useUnicode=true&characterEncoding=utf8"
val user = "root"
val password = "hry110"
//sql 语句
val sql = "select * from t_stu where id >=? and id <=?"
//创建数据库连接
val conn = ()=>{
Class.forName("com.mysql.jdbc.Driver").newInstance()
DriverManager.getConnection(jdbcurl,user,password)
}
val jRDD:JdbcRDD[(Int,String,String,Float)]=new JdbcRDD(sc,conn,sql,0L,10L,1,resultSet=>
{
val id= resultSet.getInt("id")
val sname=resultSet.getString("sname")
val scourse=resultSet.getString("scourse")
val sscore=resultSet.getFloat("sscore")
(id,sname,scourse,sscore)
})
jRDD.foreach(println)
sc.stop()
}
}
rdd从mysql中获取数据案例
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转载自blog.csdn.net/weixin_43562705/article/details/91045245
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