scala程序写Spark程序实现黑名单过滤

package com.bigdata


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


/**
 *
 */
object BlackWhite {
  def main(args: Array[String]) {
    createContext()(process)
  }


  def createContext()(func:SparkCOntext=>Unit){
    val cOnf=new SparkConf().setAppName("BlackWhite").setMaster("local[2]")
    val sc=new SparkContext(conf)
    try{
      func(sc)
    }finally {
      sc.stop()
    }
  }
//处理数据
  def process(sc:SparkContext): Unit ={
    val aRdd=sc.textFile("/spark/a.txt")
    val bRdd=sc.textFile("/spark/b.txt")//存放用户黑名单
    val a=aRdd.map(_.split(" ")).map(arr=>(arr(0),arr))
    val b=bRdd.map((_,true))
    val aJoinb: RDD[(String, (Array[String], Option[Boolean]))] =a.leftOuterJoin(b)
    val result: RDD[(String, String)] =aJoinb.filter({
      case word:(String, (Array[String], Option[Boolean]))=>word._2._2.isEmpty
    }).map(abc=>(abc._2._1(0),abc._2._1(1)))
    println(result.collect().mkString(" "))
  }
}