PruneDependency.md

Spark PruneDependency 依赖关系 Filter

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

更多资源

• SPARK 源码分析技术分享(bilibilid视频汇总套装视频): https://www.bilibili.com/video/av37442139/
• github: https://github.com/opensourceteams/spark-scala-maven
• csdn(汇总视频在线看): https://blog.csdn.net/thinktothings/article/details/84726769

youtub视频演示

• https://youtu.be/5ZCNiEhO_Qg (youtube视频)
• https://www.bilibili.com/video/av37442139/?p=3 (bilibili)

<iframe width="800" height="500" src="//player.bilibili.com/player.html?aid=37442139&cid=65822402&page=3" scrolling="no" border="0" frameborder="no" framespacing="0" allowfullscreen="true"> </iframe>

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_03_filterByRange_filter

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 rdd2 =rdd1.filterByRange("a","b")  //MapParttionsRDD

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

    sc.stop()
  }

}

数据处理图