spark stream读取kafka wordcount程序

java kafka生产者/消费者 代码参考这篇博客 https://blog.csdn.net/fanghailiang2016/article/details/108249158

通过aparkStreaming读取kafka中数据，进行wordcount单词统计

gradle配置如下

implementation "org.apache.spark:spark-streaming-kafka-0-10_$scalaVersion:$sparkVersion"

读取kafkaStram进行单词统计代码如下：

  def main(args: Array[String]): Unit = {
    val conf = new SparkConf().setMaster("local[*]").setAppName("kafkaWordCount")
    val sc = SparkContext.getOrCreate(conf)
    val ssc = new StreamingContext(sc, Seconds(10))
    val kafkaParams = Map[String, Object](
      "bootstrap.servers" -> "127.0.0.1:9092",
      "key.deserializer" -> classOf[StringDeserializer],
      "value.deserializer" -> classOf[StringDeserializer],
      "group.id" -> "test4",
      "auto.offset.reset" -> "earliest",
      "enable.auto.commit" -> (false: java.lang.Boolean)
    )

    val topics = Array("first_topic")
    val dstream: InputDStream[ConsumerRecord[String, String]] = KafkaUtils.createDirectStream[String, String](
      ssc,
      PreferConsistent,
      Subscribe[String, String](topics, kafkaParams)
    )

    val resultDstream: DStream[(String, Int)] = dstream.flatMap(record => record.value.split(" ")).map((_, 1)).reduceByKey(_ + _)
    resultDstream.print()

    ssc.start()
    ssc.awaitTermination()
  }