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package kafka import org.apache.spark.SparkConf import org.apache.spark.streaming.kafka010.KafkaUtils import org.apache.spark.streaming.{Duration, StreamingContext} import org.apache.spark.streaming.kafka010.LocationStrategies.PreferConsistent import org.apache.spark.streaming.kafka010.ConsumerStrategies.Subscribe /*记得添加依赖
<dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-streaming-kafka-0-10_2.11</artifactId> <version>2.2.0</version> </dependency>*/
object KafkaSparkStreaming { val conf=new SparkConf().setMaster("local[*]").setAppName("data from kafka") val ssc=new StreamingContext(conf,Duration(5)) def main(args: Array[String]): Unit = { //kafka的配置参数 val kafkaParams = Map( "bootstrap.servers" -> "master:9092,master:9093", ("key.deserializer" -> "org.apache.kafka.common.serialization.StringDeserializer"), "value.deserializer" -> "org.apache.kafka.common.serialization.StringDeserializer", "group.id" -> "kafkaTest", "enable.auto.commit" -> "false" ) val topics = Set("spark")//创建topic val kafkaDstream = KafkaUtils.createDirectStream[String, String]( ssc, PreferConsistent,//本地策略 Subscribe[String, String](topics, kafkaParams)//消费策略 ).map(x=>x.value()) .flatMap(_.split("\\s")) .map((_,1)) .reduceByKey(_+_) .print() ssc.start() ssc.awaitTermination() } }