Spark PruneDependency 依賴關係 RangePartitioner

• Represents a dependency between the PartitionPruningRDD and its parent. In this
  case, the child RDD contains a subset of partitions of the parents’.

更多資源

• github: https://github.com/opensourceteams/spark-scala-maven
• csdn(彙總視訊線上看): https://blog.csdn.net/thinktothings/article/details/84726769

youtub視訊演示

• https://youtu.be/YRQ6OaOXmPY (youtube視訊)
• https://www.bilibili.com/video/av37442139/?p=4 (bilibile視訊)

輸入資料

List(("a",2),("d",1),("b",8),("d",3)

處理程式scala

package com.opensource.bigdata.spark.local.rdd.operation.dependency.narrow.n_03_pruneDependency.n_02_filterByRange

import com.opensource.bigdata.spark.local.rdd.operation.base.BaseScalaSparkContext

object Run  extends BaseScalaSparkContext{

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

    val sc = pre()
    val rdd1 = sc.parallelize(List(("a",2),("d",1),("b",8),("d",3)),2)  //ParallelCollectionRDD
    val rdd1Sort = rdd1.sortByKey()   //ShuffleRDD
    val rdd2 =rdd1Sort.filterByRange("a","b")  //MapParttionsRDD

    println("rdd \n" + rdd2.collect().mkString("\n"))

    sc.stop()
  }

}


 

資料處理圖