GraphFrames连接组件性能

时间:2017-08-02 21:12:37

标签: apache-spark connected-components graphframes

当我尝试使用图形框架生成连接的组件时,它花费的时间比我预期的要长。我正在使用spark 2.1,graphframes 0.5和AWS EMR以及3个r4.xlarge实例运行。当为大约1200万条边的图生成连通分量时,大约需要3个小时。

代码如下。我很新兴,所以任何建议都会很棒。

def main(args: Array[String]): Unit = {
  val sparkConf = new SparkConf()
    .setMaster("yarn-cluster")
    .setAppName("Connected Component")

  val sc = new SparkContext(sparkConf)
  sc.setCheckpointDir("s3a://......")
  AWSUtils.setS3Credentials(sc.hadoopConfiguration)

  implicit val sqlContext = SQLContext.getOrCreate(sc)
  import sqlContext.implicits._

  val historical = sqlContext
    .read
    .option("mergeSchema", "false")
    .parquet("s3a://.....")
    .map(x => (x(0).toString, x(2).toString, x(1).toString, x(3).toString, x(4).toString.toLong, x(5).toString.toLong))

  // Complete graph
  val g = GraphFrame(
    historical.flatMap(e => List((e._1, e._3, e._5), (e._2, e._4, e._5))).toDF("id", "type", "timestamp"),
    historical.toDF("src", "dst", "srcType", "dstType", "timestamp", "companyId")
  )

  val connectedComponents: DataFrame = g.connectedComponents.run()

  connectedComponents.toDF().show(100, false)

  sc.stop()
}

0 个答案:

没有答案