SparkStreaming对象如何复用

SparkStreaming对象的复用方式，其实说的是迭代计算的时候，不浪费原来的SparkStreaming对象具体操作方式如下

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

    def createFunc():StreamingContext={
    
    
      val conf = new SparkConf().setMaster("local[2]").setAppName("NetworkWordCount")
      val ssc = new StreamingContext(conf, Seconds(5))
        
      ssc.sparkContext.setLogLevel("ERROR")
      ssc.checkpoint("ts")

      val dataDS: ReceiverInputDStream[String] = ssc.socketTextStream("192.168.182.147",9999)

      val wordDS: DStream[String] = dataDS.flatMap(_.split(" "))

      val tupleDS: DStream[(String, Int)] = wordDS.map((_,1))

      tupleDS.reduceByKey(_+_).print()
      ssc
    }

    val ssc: StreamingContext = StreamingContext.getOrCreate("ts",createFunc)//在末尾调用
    ssc.start()
    ssc.awaitTermination()

  }

}