springboot远程链接spark

springboot远程链接spark

1、导入依赖

• <!--        spark依赖--><dependency><groupId>org.apache.spark</groupId><artifactId>spark-core_2.12</artifactId><version>3.2.2</version></dependency><dependency><groupId>org.apache.spark</groupId><artifactId>spark-sql_2.12</artifactId><version>3.2.2</version></dependency><!-- https://mvnrepository.com/artifact/org.apache.spark/spark-mllib --><dependency><groupId>org.apache.spark</groupId><artifactId>spark-mllib_2.12</artifactId><version>3.2.2</version></dependency>
  

2、配置spark信息

• 建立一个配置文件，配置spark信息

  • import org.apache.spark.SparkConf;
    import org.apache.spark.sql.SparkSession;
    import org.springframework.beans.factory.annotation.Value;
    import org.springframework.context.annotation.Bean;
    import org.springframework.context.annotation.Configuration;//将文件交于spring管理
    @Configuration
    public class SparkConfig {//使用yml中的配置@Value("${spark.master}")private String sparkMaster;@Value("${spark.appName}")private String sparkAppName;@Beanpublic SparkConf sparkConf() {SparkConf conf = new SparkConf();conf.setMaster(sparkMaster);conf.setAppName(sparkAppName);return conf;}@Beanpublic SparkSession sparkSession() {return SparkSession.builder().config(sparkConf()).getOrCreate();}
    }
    

3、controller和service

• controller类

  • import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.web.bind.annotation.GetMapping;
    import org.springframework.web.bind.annotation.RequestMapping;
    import org.springframework.web.bind.annotation.RestController;
    import xyz.zzj.traffic_main_code.service.SparkService;@RestController
    @RequestMapping("/spark")
    public class SparkController {@Autowiredprivate SparkService sparkService;@GetMapping("/run")public String runSparkJob() {sparkService.executeSparkJob();return "Spark job executed successfully!";}
    }
    

• service

  • import org.springframework.stereotype.Service;@Service
    public class SparkService {public void executeSparkJob() {System.out.println("Spark job started");}
    }
    

4、运行

• 运行完后，打开浏览器
  • http://localhost:8080/spark/run
• 观察spark认为
  • http://192.168.44.128:8099/