Flink读取Kafka中的数据

创建Maven项目

• 配置pom.xml文件

	<!- 根据自己使用的版本情况进行修改版本号 ->
	<dependency>
      <groupId>org.apache.flink</groupId>
      <artifactId>flink-scala_2.11</artifactId>
      <version>1.7.2</version>
    </dependency>
    <dependency>
      <groupId>org.apache.flink</groupId>
      <artifactId>flink-streaming-scala_2.11</artifactId>
      <version>1.7.2</version>
    </dependency>
    <dependency>
      <groupId>org.apache.flink</groupId>
      <artifactId>flink-connector-kafka_2.11</artifactId>
      <version>1.7.2</version>
    </dependency>

创建scala Object实例

import org.apache.flink.api.common.serialization.SimpleStringSchema
import org.apache.flink.streaming.api.scala.{
    
    DataStream, StreamExecutionEnvironment}
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer
import org.apache.kafka.clients.consumer.ConsumerConfig
import org.apache.flink.streaming.api.scala._

object FlinkToKafka {
    
    
  def main(args: Array[String]): Unit = {
    
    
  //创建流处理环境
    val env: StreamExecutionEnvironment = StreamExecutionEnvironment.getExecutionEnvironment
    //配置Kafka信息
    val prop = new Properties()
    prop.setProperty(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG,"192.168.**.**:9092")
    prop.setProperty(ConsumerConfig.GROUP_ID_CONFIG,"flink-kafka-demo")
    prop.setProperty(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG,"org.apache.kafka.common.serialization.StringSerializer")
    prop.setProperty(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG,"org.apache.kafka.common.serialization.StringDeserializer")
    prop.setProperty(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG,"latest")
	//获取topic为senser的数据
    val KafkaToStream: DataStream[String] = env.addSource(new FlinkKafkaConsumer[String]("sensor",new SimpleStringSchema(),prop))
    //输出获取数据
    KafkaToStream.print()
    env.execute("kafkademo")
  }

}

创建Topic

• 创建命令：kafka-topics.sh --create --zookeeper 192.168.**.**:2181 --topic senser --partitions 1 --replication-factor 1

创建生成者

• 创建命令：kafka-console-producer.sh --topic senser --broker-list 192.168.**.**:9092

启动Flink Stream

生产者输入数据

hello word
hello flink

查看Flink Stream输出内容