加入kafka的依賴 ```xml <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-connector-kafka-0.10_${scala.binary.version}</artifactId> <version>${flink.version}</version> </dependency> ``` 直接運行程序 ```java package com.gosuncn; import org.apache.flink.api.common.serialization.SimpleStringSchema; import org.apache.flink.streaming.api.datastream.DataStreamSource; import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer010; import java.util.Properties; public class WordCountStreamingJob { public static void main(String[] args) throws Exception { final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); Properties properties = new Properties(); properties.setProperty("bootstrap.servers","192.168.8.101:9092"); properties.setProperty("group.id","test"); FlinkKafkaConsumer010<String> kafkaSource = new FlinkKafkaConsumer010<>("gosuncn", new SimpleStringSchema(), properties); DataStreamSource<String> dataStreamSource = env.addSource(kafkaSource); dataStreamSource.print(); env.execute("WordCountStreamingJob"); } } ``` 測試結果 ``` 6> Hello World 6> Hello Flink 6> Flink Spark ```