springboot集成kettle

Spring Boot集成Kettle可以实现数据抽取、转换和加载（ETL）的功能。具体步骤如下：

1. 在pom.xml文件中添加Kettle的依赖：

<dependency>
    <groupId>org.pentaho</groupId>
    <artifactId>kettle-core</artifactId>
    <version>8.3..-371</version>
</dependency>

2. 创建Kettle的配置文件，例如kettle.properties，配置Kettle的相关参数，如数据库连接信息、文件路径等。

3. 在Spring Boot的配置文件中，添加Kettle的配置信息，如下所示：

@Configuration
public class KettleConfig {

    @Value("${kettle.home}")
    private String kettleHome;

    @Value("${kettle.properties.file}")
    private String kettlePropertiesFile;

    @Bean
    public KettleEnvironment kettleEnvironment() throws KettleException {
        KettleEnvironment.init(false);
        System.setProperty("KETTLE_HOME", kettleHome);
        System.setProperty("KETTLE_PROPERTIES", kettlePropertiesFile);
        return KettleEnvironment.getInstance();
    }

    @Bean
    public KettleDatabaseRepository kettleDatabaseRepository() throws KettleException {
        KettleDatabaseRepositoryMeta kettleDatabaseRepositoryMeta = new KettleDatabaseRepositoryMeta();
        kettleDatabaseRepositoryMeta.setName("KettleDatabaseRepository");
        kettleDatabaseRepositoryMeta.setConnection(new DatabaseMeta("Kettle", "MYSQL", "Native", "localhost", "kettle", "3306", "root", "root"));
        KettleDatabaseRepository kettleDatabaseRepository = new KettleDatabaseRepository();
        kettleDatabaseRepository.init(kettleDatabaseRepositoryMeta);
        kettleDatabaseRepository.connect("admin", "admin");
        return kettleDatabaseRepository;
    }
}

4. 编写Kettle的作业和转换，例如job.kjb和trans.ktr，放置在resources目录下。

5. 在Spring Boot中调用Kettle的作业和转换，如下所示：

@Service
public class KettleService {

    @Autowired
    private KettleEnvironment kettleEnvironment;

    @Autowired
    private KettleDatabaseRepository kettleDatabaseRepository;

    public void runJob(String jobName) throws KettleException {
        JobMeta jobMeta = new JobMeta(kettleEnvironment, jobName, null);
        Job job = new Job(kettleDatabaseRepository, jobMeta);
        job.start();
        job.waitUntilFinished();
        if (job.getErrors() > ) {
            throw new KettleException("Job " + jobName + " failed with " + job.getErrors() + " errors.");
        }
    }

    public void runTrans(String transName) throws KettleException {
        TransMeta transMeta = new TransMeta(kettleEnvironment, transName);
        Trans trans = new Trans(transMeta);
        trans.execute(null);
        trans.waitUntilFinished();
        if (trans.getErrors() > ) {
            throw new KettleException("Trans " + transName + " failed with " + trans.getErrors() + " errors.");
        }
    }
}

6. 在Controller中调用KettleService的方法，如下所示：

@RestController
public class KettleController {

    @Autowired
    private KettleService kettleService;

    @GetMapping("/runJob")
    public String runJob(@RequestParam String jobName) throws KettleException {
        kettleService.runJob(jobName);
        return "Job " + jobName + " executed successfully.";
    }

    @GetMapping("/runTrans")
    public String runTrans(@RequestParam String transName) throws KettleException {
        kettleService.runTrans(transName);
        return "Trans " + transName + " executed successfully.";
    }
}

这样，就可以在Spring Boot中集成Kettle，并实现数据抽取、转换和加载的功能了。