SparkSql将数据写入到MySQL

SparkSql将数据写入到MySQL

1、通过IDEA编写SparkSql代码

package cn.cheng.sql
import java.util.Properties
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.{DataFrame, Dataset, SaveMode, SparkSession}

/**
* todo:sparksql写入数据到mysql中
*/

//todo:创建样例类Student
case class Student(id:Int,name:String,age:Int)

object SparkSqlToMysql {
def main(args: Array[String]): Unit = {
//todo:1、创建sparkSession对象
val spark: SparkSession = SparkSession.builder()
.appName("SparkSqlToMysql")
.getOrCreate()
//todo:2、读取数据
val data: RDD[String] = spark.sparkContext.textFile(args(0))
//todo:3、切分每一行,
val arrRDD: RDD[Array[String]] = data.map(_.split(" "))
//todo:4、RDD关联Student
val studentRDD: RDD[Student] = arrRDD.map(x=>Student(x(0).toInt,x(1),x(2).toInt))
//todo:导入隐式转换
import spark.implicits._
//todo:5、将RDD转换成DataFrame
val studentDF: DataFrame = studentRDD.toDF()
//todo:6、将DataFrame注册成表
studentDF.createOrReplaceTempView("student")
//todo:7、操作student表 ,按照年龄进行降序排列
val resultDF: DataFrame = spark.sql("select * from student order by age desc")

//todo:8、把结果保存在mysql表中
//todo:创建Properties对象，配置连接mysql的用户名和密码
val prop =new Properties()
prop.setProperty("user","root")
prop.setProperty("password","123456")

resultDF.write.jdbc("jdbc:mysql://192.168.200.150:3306/spark","student",prop)

//todo:写入mysql时，可以配置插入mode，overwrite覆盖，append追加，ignore忽略，error默认表存在报错
//resultDF.write.mode(SaveMode.Overwrite).jdbc("jdbc:mysql://192.168.200.150:3306/spark","student",prop)
spark.stop()
}
}

2、将Jar包提交到spark集群运行

spark-submit \
--class itcast.sql.SparkSqlToMysql \
--master spark://node-1:7077 \
--executor-memory 1g \
--total-executor-cores 2 \
--jars /opt/bigdata/hive/lib/mysql-connector-java-5.1.35.jar  \
--driver-class-path /opt/bigdata/hive/lib/mysql-connector-java-5.1.35.jar \
/root/original-spark-2.0.2.jar  /person.txt