Spark读写MySQL、Oracle、PostgreSQL、Greenplum

添加pom依赖

	com.pivotal
	greenplum-jdbc
	5.1.4



	mysql
	mysql-connector-java
	5.1.47



	com.oracle
	ojdbc6
	11.2.0.3


        org.postgresql
        postgresql
        9.4-1201-jdbc41

编写工具类

package spark.ds.jdbc

import org.apache.spark.sql.{DataFrame, SparkSession}

//MysqlDriver:"com.mysql.jdbc.Driver"
//OracleDriver:"oracle.jdbc.driver.OracleDriver"
//GreenplumDriver:"com.pivotal.jdbc.GreenplumDriver"
//postgresqlDriver:"org.postgresql.Driver"

//MysqlURL:"jdbc:mysql://localhost:3306/databaseName"
//OracleURL:"jdbc:oracle:thin:@//localhost:1521:databaseName"
//GreenplumURL:"jdbc:pivotal:greenplum://localhost:15432;DatabaseName=databaseName"
//postgresqlURL:"jdbc:postgresql://localhost:5432/databaseName"

//saveMode
// - `overwrite`: overwrite the existing data.
// - `append`: append the data.
// - `ignore`: ignore the operation (i.e. no-op).
// - `error` or `errorifexists`: default option, throw an exception at runtime.

object JDBCSource {

  def createDF(session: SparkSession, param: Map[String, AnyRef]): DataFrame = {
    session.sqlContext.read
      .format("jdbc")
      .option("driver", param.get("driver").get.toString)
      .option("url", param.get("url").get.toString)
      .option("dbtable", param.get("dbtable").get.toString)
      .option("user", param.get("user").get.toString)
      .option("password", param.get("password").get.toString)
      .load()
  }

}

object JDBCSink {

  def save(df: DataFrame, saveMode:String,param: Map[String, AnyRef]): Unit = {
    df.write
      .mode(saveMode)
      .format("jdbc")
      .option("driver", param.get("driver").get.toString)
      .option("url", param.get("url").get.toString)
      .option("dbtable", param.get("dbtable").get.toString)
      .option("user", param.get("user").get.toString)
      .option("password", param.get("password").get.toString)
      .save()

  }
}

测试类

package test

import com.spark.ds.jdbc.{JDBCSink, JDBCSource}
import org.apache.spark.sql.SparkSession
import org.apache.spark.{SparkConf, SparkContext}

object jdbc_test {

  def main(args: Array[String]): Unit = {
    val conf = new SparkConf().setAppName("Greenplum_test").setMaster("local[*]")
    val sc = new SparkContext(conf)
    sc.setLogLevel("WARN")
    val spark = SparkSession.builder().config(conf).getOrCreate()

	// MySQL / Oracle / PostgreSQL / Greenplum
	// 以mysql为例，Oracle、 PostgreSQL、Greenplum只需更改相应参数即可
	
	//从mysql数据库中读取数据并加载成DF
    val mysql_read = Map(
      "driver"->"com.mysql.jdbc.Driver",
      "url"->"jdbc:mysql://172.16.13.185:3306/test",
      "dbtable"->"test.write1"
      "user"->"user123",
      "password"->"user123"
    )

    val view1 = JDBCSource.createDF(spark,mysql_read)
    view1.show()

	//spark将结果写入mysql数据库中
    val mysql_write = Map(
      "driver"->"com.mysql.jdbc.Driver",
      "url"->"jdbc:mysql://172.16.13.185:3306/test",
      "dbtable"->"test.write2"
      "user"->"user123",
      "password"->"user123"
    )
    
    JDBCSink.save(view1,"append",mysql_write)

    sc.stop()
  }
}