Streaming与kafkaupdateStateBykey()
object H extends App{ val conf=new SparkConf().setMaster("local[2]").setAppName("hello") val ss=new StreamingContext(conf,Seconds(5)) val kafkaParams=Map[String,String]("metadata.broker.list"->"myhadoop1:9092") ss.checkpoint("hdfs://myhadoop1:8020/data") val topic=Set[String]("wordcount1") //kafka val lines=KafkaUtils.createDirectStream[String,String,StringDecoder,StringDecoder](ss,kafkaParams,topic) lines.flatMap(_._2.split(" ")).map((_,1)).updateStateByKey((seqs:Seq[Int],option:Option[Int])=>{ var oldValue=option.getOrElse(0) for(seq<-seqs){ oldValue+=seq } Option[Int](oldValue) }).print() ss.start() ss.awaitTermination() }
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