import org.apache.spark._

import org.apache.spark.streaming._

/**

  * Created by code-pc on 16/3/14.

  */

object Pi {

  def functionToCreateContext():StreamingContext={

    def updateStateFunction(newValues: Seq[Int], runningCount: Option[Int]): Option[Int] = {

      Some(runningCount.getOrElse(0) + newValues.sum)

    }

    val conf = new SparkConf().setMaster("local[5]").setAppName("AndrzejApp")

    val ssc = new StreamingContext(conf, Seconds(4))

    ssc.checkpoint("/tmp")

    val line = ssc.socketTextStream("127.0.0.1", 9997)

    val words=line.flatMap(_.split(" "))

    val pairs=words.map((_,1))

    val retDS = pairs.updateStateByKey[Int](updateStateFunction _)

    //retDS.repartition(1).saveAsTextFiles("/tmp/out")

    retDS.print()

    ssc

  }

  def main(args: Array[String]) {

    val context=StreamingContext.getOrCreate("/tmp",functionToCreateContext)

    context.start()

    context.awaitTermination()

  }

}

tcp: nc -lk 9997

If the checkpointDirectory exists, then the context will be recreated from the checkpoint data.