Spark Streaming + Kafka 整合向导之createDirectStream

 

启动zk: zkServer.sh start

启动kafka:kafka-server-start.sh $KAFKA_HOME/config/server.properties

创建一个topic:kafka-topics.sh --create --zookeeper node1:2181 --replication-factor 1 --partitions 1 --topic test

启动一个生产者:kafka-console-producer.sh --broker-list node1:9092 --topic test

运行代码测试:

package com.lin.spark

import org.apache.kafka.common.serialization.StringDeserializer
import org.apache.spark.SparkConf
import org.apache.spark.rdd.RDD
import org.apache.spark.streaming.{Seconds, StreamingContext}
import org.apache.spark.streaming.kafka010._
import org.apache.spark.streaming.kafka010.LocationStrategies.PreferConsistent
import org.apache.spark.streaming.kafka010.ConsumerStrategies.Subscribe

/**
  * Created by Administrator on 2019/6/7.
  */
object Halo {
  def main(args: Array[String]): Unit = {
    val kafkaParams = Map[String, Object](
      "bootstrap.servers" -> "node1:9092",
      "key.deserializer" -> classOf[StringDeserializer],
      "value.deserializer" -> classOf[StringDeserializer],
      "group.id" -> "use_a_separate_group_id_for_each_stream",
      "auto.offset.reset" -> "latest",
      "enable.auto.commit" -> (true: java.lang.Boolean)
    )

    val conf = new SparkConf().setAppName("Halo").setMaster("local[2]")
    val ssc = new StreamingContext(conf,Seconds(5))

    val topics = Array("test")
    val stream = KafkaUtils.createDirectStream[String, String](
      ssc,
      PreferConsistent,
      Subscribe[String, String](topics, kafkaParams)
    )

    stream.foreachRDD(rdd => {
      val offsetRange = rdd.asInstanceOf[HasOffsetRanges].offsetRanges
      val maped: RDD[(String, String)] = rdd.map(record => (record.key,record.value))
      //计算逻辑
      maped.foreach(println)
      //循环输出
      for(o <- offsetRange){
        println(s"${o.topic}  ${o.partition} ${o.fromOffset} ${o.untilOffset}")
      }
    })

    ssc.start()
    ssc.awaitTermination()
  }
}

 

参考:

http://spark.apache.org/docs/2.2.0/streaming-kafka-0-10-integration.html

https://cloud.tencent.com/developer/article/1355430

posted @ 2019-06-08 15:39  消失的白桦林  阅读(1972)  评论(0编辑  收藏  举报