spark graphx 代码案例

package com.test

import org.apache.spark.graphx._
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.{SaveMode, SparkSession}

import scala.collection.mutable.ListBuffer


object GraphxDHDemo {

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


    val spark = SparkSession.builder().master("local[*]").appName("yy").getOrCreate()
    val sc = spark.sparkContext
    sc.setLogLevel("ERROR")

    val input_1 = ListBuffer(
      1,2,3,4,5,6,7,8,9,10
    )

    val input_2 = ListBuffer(
      List(3,1)
      ,List(1,4)
      ,List(2,5)
      ,List(5,6)
      ,List(7,3)
      ,List(9,7)
      ,List(10,3)
      ,List(8,7)
    )

    // 构建顶点的rdd
    val input1 = input_1.map(x => (x.toLong,(x.toString,1)))
    // 构建边的rdd
    val input2 = input_2.distinct.map(x => Edge(x(0).toLong, x(1).toLong, 1))
    //创建顶点RDD
    val users: RDD[(VertexId, (String, PartitionID))] = sc.makeRDD(input1)
    //创建各顶点间关系的RDD
    val