scala spark（2.10）读取kafka(2.11_1.0.0)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_2.11</artifactId>
  <version>1.0.0</version>
</dependency>

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

2、代码

package cn.piesat
import org.apache.kafka.common.serialization.StringDeserializer
import org.apache.spark.sql.SparkSession
import org.apache.spark.streaming.kafka010.KafkaUtils
import org.apache.spark.streaming.kafka010.LocationStrategies.PreferConsistent
import org.apache.spark.streaming.kafka010.ConsumerStrategies.Subscribe
import org.apache.spark.streaming.{Seconds, StreamingContext}

object App {
    private  val brokers="hadoop01:9092"
    def main(args:Array[String]):Unit={
        val spark=getSparkSession()
        val sc=spark.sparkContext
        val ssc=new StreamingContext(sc,Seconds(3))
        val topics=Array("lj01")
        val kafkaParams=Map[String,Object](
            "bootstrap.servers"->brokers,
            "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" -> (false: java.lang.Boolean)
        )
        val messages=KafkaUtils.createDirectStream[String,String](
            ssc,
            PreferConsistent,
            Subscribe[String,String](topics,kafkaParams)
        )
        val lines=messages.map(x=>{
            x.value()
        })
        val wordCounts=lines.flatMap(x=>{
            x.split(" ").map(x=>(x,1))
        }).reduceByKey(_+_)
        wordCounts.print()
        ssc.start()
        ssc.awaitTermination()
    }

    def getSparkSession():SparkSession={
        val spark=SparkSession
                .builder()
                .appName("sparkSql")
                .config("spark.some.config.option","some-value")
                .master("local[4]")
                .getOrCreate()
        spark
    }
}