无法在杰克逊中设置mapper.readValuemapper.readValue（words，classOf [InboundLocation]），因为在scala中显示类型不匹配

Question

 val conf = new SparkConf().setAppName("SimpleExample").setMaster("local[*]")
    val sc = new StreamingContext(conf,Seconds(5))

    val mapper = new ObjectMapper()

    val kafkaconf = Map(
      "zookeeper.connect" -> "localhost:2181",
      "group.id" -> "test-consumer-group",
      "zookeeper.connection.timeout.ms" -> "5000"
    )

    val lines  = KafkaUtils.createStream[Array[Byte], String , DefaultDecoder , StringDecoder](
      sc ,
      kafkaconf,
      Map("testtopickafka" -> 1) ,
      StorageLevel.MEMORY_AND_DISK
    )

    val words : DStream[String]  = lines.flatMap { case (x, y) => y.split(" ") }

       val out :  InboundLocation = mapper.readValue(words, classOf[InboundLocation])
//      val type12 = out.getMessage_id
//      print(type12)





    words.print()
    sc.start()
    sc.awaitTermination()

Answer 1

You can try with following approach.

words.foreachRDD((rdd, time) => {
    if (rdd.count() > 0) {
       //TODO: Apply your business logic
    }
})
ssc.start()
ssc.awaitTermination()

Hope this helps!