1.引入相关的依赖

		<dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-connector-kafka_2.11</artifactId>
            <version>1.9.1</version>
        </dependency>

2.代码如下

/**
 * 消费Kafka中得数据
 * @author 王一宁
 * @date 2020/1/2 12:12
 */
public class StreamingFromKafka {
    public static void main(String[] args) throws Exception{
        //获取环境
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

        //kafka配置
        String topic = "wang";
        Properties prop = new Properties();
        prop.setProperty("bootstrap.servers","hadoop1:9092");//多个的话可以指定
        prop.setProperty("key.deserializer","org.apache.kafka.common.serialization.StringDeserializer");
        prop.setProperty("value.deserializer","org.apache.kafka.common.serialization.StringDeserializer");
        prop.setProperty("auto.offset.reset","latest");
        prop.setProperty("group.id","consumer1");

        FlinkKafkaConsumer010<String> myConsumer = new FlinkKafkaConsumer010<String>(topic, new SimpleStringSchema(), prop);
        //获取数据
        DataStream<String> text = env.addSource(myConsumer);

        //打印
        text.print().setParallelism(1);
        //执行
        //env.execute("StreamingFormCollection");
        env.execute();
    }
}