Spring Boot 整合 Apache Flink 的详细过程

<!-- pom.xml -->
<dependencies>
    <!-- Spring Boot Starter -->
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter</artifactId>
    </dependency>
    <!-- Flink核心依赖 -->
    <dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flink-java</artifactId>
        <version>1.17.2</version>
        <scope>provided</scope>
    </dependency>
    <dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flink-streaming-java</artifactId>
        <version>1.17.2</version>
        <scope>provided</scope>
    </dependency>
    <!-- 本地执行时需添加 -->
    <dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flink-runtime</artifactId>
        <version>1.17.2</version>
        <scope>test</scope>
    </dependency>
</dependencies>

// src/main/java/com/example/demo/flink/WordCountJob.java
import org.apache.flink.api.common.functions.FlatMapFunction;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.util.Collector;
public class WordCountJob {
    public static void execute() throws Exception {
        final StreamExecutionEnvironment env = 
            StreamExecutionEnvironment.getExecutionEnvironment();
        DataStream<String> text = env.fromElements(
            "Spring Boot整合Flink",
            "Flink实时流处理",
            "Spring生态集成"
        );
        DataStream<WordCount> counts = text
            .flatMap(new FlatMapFunction<String, WordCount>() {
                @Override
                public void flatMap(String value, Collector<WordCount> out) {
                    for (String word : value.split("\\s")) {
                        out.collect(new WordCount(word, 1L));
                    }
                }
            })
            .keyBy(value -> value.word)
            .sum("count");
        counts.print();
        env.execute("Spring Boot Flink Job");
    }
    public static class WordCount {
        public String word;
        public long count;
        public WordCount() {}
        public WordCount(String word, long count) {
            this.word = word;
            this.count = count;
        }
        @Override
        public String toString() {
            return word + " : " + count;
        }
    }
}

// src/main/java/com/example/demo/DemoApplication.java
@SpringBootApplication
public class DemoApplication implements CommandLineRunner {
    public static void main(String[] args) {
        SpringApplication.run(DemoApplication.class, args);
    }
    @Override
    public void run(String... args) throws Exception {
        WordCountJob.execute(); // 启动Flink作业
    }
}

// src/main/java/com/example/demo/service/FlinkJobService.java
@Service
public class FlinkJobService {
    public String submitWordCountJob(List<String> inputLines) {
        try {
            final StreamExecutionEnvironment env = 
                StreamExecutionEnvironment.getExecutionEnvironment();
            DataStream<String> text = env.fromCollection(inputLines);
            // ...（同上WordCount逻辑）
            JobExecutionResult result = env.execute();
            return "JobID: " + result.getJobID();
        } catch (Exception e) {
            return "Job Failed: " + e.getMessage();
        }
    }
}

// src/main/java/com/example/demo/controller/JobController.java
@RestController
@RequestMapping("/jobs")
public class JobController {
    @Autowired
    private FlinkJobService flinkJobService;
    @PostMapping("/wordcount")
    public String submitWordCount(@RequestBody List<String> inputs) {
        return flinkJobService.submitWordCountJob(inputs);
    }
}

# 设置Flink本地执行环境
spring.flink.local.enabled=true
spring.flink.job.name=SpringBootFlinkJob
# 调整并行度（根据CPU核心数）
spring.flink.parallelism=4

<dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-core</artifactId>
    <version>1.17.2</version>
    <exclusions>
        <exclusion>
            <groupId>log4j</groupId>
            <artifactId>log4j</artifactId>
        </exclusion>
    </exclusions>
</dependency>

mvn spring-boot:run

curl -X POST -H "Content-Type: application/json" \
-d '["Hello Flink", "Spring Boot Integration"]' \
http://localhost:8080/jobs/wordcount

flink run -c com.example.demo.DemoApplication your-application.jar

src/
├── main/
│   ├── java/
│   │   ├── com/example/demo/
│   │   │   ├── DemoApplication.java
│   │   │   ├── flink/
│   │   │   │   └── WordCountJob.java
│   │   │   ├── controller/
│   │   │   ├── service/
│   ├── resources/
│   │   └── application.properties
pom.xml