Union

package sparkcore

import org.apache.spark.rdd.RDD
import org.apache.spark.{SparkConf, SparkContext}

object Demo09Union {
  def main(args: Array[String]): Unit = {

    val conf: SparkConf = new SparkConf().setAppName("Union").setMaster("local")

    val sc = new SparkContext(conf)

    val rdd1: RDD[Int] = sc.parallelize(List(1,2,3,4,5,6))
    val rdd2: RDD[Int] = sc.parallelize(List(4,5,6,7,8,9))

    /**
      * union:合并两个RDD，rdd的类型必须一致。不会去重
      */
    val unionRDD: RDD[Int] = rdd1.union(rdd2)

    /**
      * 去重
      */
    val distinctRDD: RDD[Int] = unionRDD.distinct()

    distinctRDD.foreach(println)
  }
}

标签：SparkContext,Int,val,Union,RDD,sc,SparkConf
来源： https://www.cnblogs.com/xiguabigdata/p/15022274.html