Spark PruneDependency 依赖关系 RangePartitioner

Spark PruneDependency 依赖关系 RangePartitioner

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

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youtub视频演示

输入数据

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

处理程序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()
  }

}


数据处理图

PruneDependency依赖关系图

RangePartitioner范围分区器

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转载自blog.csdn.net/thinktothings/article/details/84831866