scala spark（2.10）读取kafka(2.10)示例

1、pom加载jar包

<dependency>
  <groupId>org.apache.spark</groupId>
  <artifactId>spark-streaming_2.11</artifactId>
  <version>2.1.0</version>
</dependency>
<dependency>
  <groupId>org.apache.kafka</groupId>
  <artifactId>kafka_2.10</artifactId>
  <version>0.8.2.2</version>
</dependency>
<dependency>
  <groupId>org.apache.spark</groupId>
  <artifactId>spark-streaming-kafka-0-8_2.11</artifactId>
  <version>2.1.0</version>
</dependency>

2、代码

object Demo01 {

  def main(args: Array[String]): Unit = {
    val sprakConf = new SparkConf().setAppName("DirectKafkaWordCountDemo")
    sprakConf.setMaster("local[2]")
    val ssc = new StreamingContext(sprakConf, Seconds(3))
    val brokers ="hadoop01:9092"
    val topics="test"
    val topicSet = topics.split(",").toSet
    val kafkaParams = Map[String, String]("metadata.broker.list" -> brokers)
    val messages = KafkaUtils.createDirectStream[String, String, StringDecoder, StringDecoder](ssc, kafkaParams, topicSet)
    val lines=messages.map(_._2)
    val wordCounts=lines.flatMap(_.split(" ")).map(x=>(x,1)).reduceByKey(_+_)
    wordCounts.saveAsTextFiles("hdfs://hadoop01:9000/spark/wordcount.txt")
    wordCounts.print()
    ssc.start()
    ssc.awaitTermination()
  }
}