spark streaming检查点使用

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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.

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