使用spark-streaming-kafka-0-10_2.11-2.0.0依赖包创建kafka输入流

object DirectStream {

 

  def main(args: Array[String]): Unit = {

 

    //创建SparkConf，如果将任务提交到集群中，那么要去掉.setMaster("local[2]")

    val conf = new SparkConf().setAppName("DirectStream").setMaster("local[2]")

    //创建一个StreamingContext，其里面包含了一个SparkContext

    val streamingContext = new StreamingContext(conf, Seconds(5))

 

    //配置kafka的参数

    val kafkaParams = Map[String, Object](

      "bootstrap.servers" -> "node-1.xiaoniu.com:9092,node-2.xiaoniu.com:9092,node-3.xiaoniu.com:9092",

      "key.deserializer" -> classOf[StringDeserializer],

      "value.deserializer" -> classOf[StringDeserializer],

      "group.id" -> "test123",

      "auto.offset.reset" -> "earliest", // lastest

      "enable.auto.commit" -> (false: java.lang.Boolean)

    )

 

    val topics = Array("xiaoniu")

    //在Kafka中记录读取偏移量

    val stream = KafkaUtils.createDirectStream[String, String](

      streamingContext,

      //位置策略（可用的Executor上均匀分配分区）

      LocationStrategies.PreferConsistent,

      //消费策略（订阅固定的主题集合）

      ConsumerStrategies.Subscribe[String, String](topics, kafkaParams)

    )

 

    //迭代DStream中的RDD(KafkaRDD)，将每一个时间点对于的RDD拿出来

    stream.foreachRDD { rdd =>

      //获取该RDD对于的偏移量

      val offsetRanges = rdd.asInstanceOf[HasOffsetRanges].offsetRanges

      //拿出对应的数据

      rdd.foreach{ line =>

        println(line.key() + " " + line.value())

      }

      //异步更新偏移量到kafka中

      // some time later, after outputs have completed

      stream.asInstanceOf[CanCommitOffsets].commitAsync(offsetRanges)

    }

    streamingContext.start()

    streamingContext.awaitTermination()

  }

}

项目依赖

dependencies {
    testCompile group: 'junit', name: 'junit', version: '4.12'
    compile (group: 'org.apache.spark', name: 'spark-core_2.10', version:'2.1.0')
    compile (group: 'org.apache.spark', name: 'spark-streaming_2.10', version:'2.1.0')
    compile group: 'org.apache.spark', name: 'spark-streaming-kafka-0-10_2.10', version: '2.2.0'
}

详见官网：

http://spark.apache.org/docs/latest/streaming-kafka-0-10-integration.html#storing-offsets