在Spring Boot应用中集成与调用Kettle ETL脚本的指南

在Spring Boot项目中调用Kettle（Pentaho Data Integration，也称为PDI）脚本来进行数据转换（ETL）任务是一个常见的需求，特别是在需要集成数据处理功能的应用程序中。Kettle是一个强大的ETL工具，支持图形化设计以及通过脚本（如Kettle的KTR或KJB文件）来执行数据转换和作业。

要在Spring Boot中调用Kettle脚本，你可以通过Java代码来运行这些Kettle作业或转换。以下是一个基本的步骤说明和示例代码，展示如何在Spring Boot中集成Kettle。

步骤 1: 添加依赖

首先，确保你的Spring Boot项目中包含了Kettle的依赖。由于Kettle没有直接的Maven或Gradle中心仓库依赖，你可能需要从Pentaho的官方网站下载jar包或者通过其他方式引入。

假设你已经有了Kettle的jar包，你可以将它们添加到项目的lib目录下，并在IDE中配置这些jar包作为项目的库。

步骤 2: 编写代码执行Kettle转换或作业

接下来，你需要在Spring Boot应用中编写代码来加载和执行Kettle的KTR（转换）或KJB（作业）文件。


import org.pentaho.di.core.KettleEnvironment;  
import org.pentaho.di.core.exception.KettleException;  
import org.pentaho.di.job.Job;  
import org.pentaho.di.job.JobMeta;  
import org.pentaho.di.repository.Repository;  
import org.pentaho.di.repository.RepositoryDirectoryInterface;  
import org.pentaho.di.repository.filename.KettleFileRepositoryMeta;  
import org.pentaho.di.trans.Trans;  
import org.pentaho.di.trans.TransMeta;  
  
import java.io.File;  
  
@Service  
public class KettleService {  
  
    public void executeTransformation(String filename) {  
        try {  
            // 初始化Kettle环境  
            KettleEnvironment.init();  
  
            // 加载转换文件  
            TransMeta transMeta = new TransMeta(filename);  
            Trans transformation = new Trans(transMeta);  
  
            // 执行转换  
            transformation.execute(null);  
            transformation.waitUntilFinished();  
  
            if (transformation.getErrors() > 0) {  
                throw new RuntimeException("There were errors during transformation execution.");  
            }  
  
        } catch (KettleException e) {  
            e.printStackTrace();  
        }  
    }  
  
    public void executeJob(String filename) {  
        try {  
            // 初始化Kettle环境  
            KettleEnvironment.init();  
  
            // 加载作业文件  
            JobMeta jobMeta = new JobMeta(filename, null);  
            Job job = new Job(null, jobMeta);  
  
            // 执行作业  
            job.start();  
            job.waitUntilFinished();  
  
            if (job.getErrors() > 0) {  
                throw new RuntimeException("There were errors during job execution.");  
            }  
  
        } catch (KettleException e) {  
            e.printStackTrace();  
        }  
    }  
}
import org.pentaho.di.core.KettleEnvironment;  
import org.pentaho.di.core.exception.KettleException;  
import org.pentaho.di.job.Job;  
import org.pentaho.di.job.JobMeta;  
import org.pentaho.di.repository.Repository;  
import org.pentaho.di.repository.RepositoryDirectoryInterface;  
import org.pentaho.di.repository.filename.KettleFileRepositoryMeta;  
import org.pentaho.di.trans.Trans;  
import org.pentaho.di.trans.TransMeta;  
  
import java.io.File;  
  
@Service  
public class KettleService {  
  
    public void executeTransformation(String filename) {  
        try {  
            // 初始化Kettle环境  
            KettleEnvironment.init();  
  
            // 加载转换文件  
            TransMeta transMeta = new TransMeta(filename);  
            Trans transformation = new Trans(transMeta);  
  
            // 执行转换  
            transformation.execute(null);  
            transformation.waitUntilFinished();  
  
            if (transformation.getErrors() > 0) {  
                throw new RuntimeException("There were errors during transformation execution.");  
            }  
  
        } catch (KettleException e) {  
            e.printStackTrace();  
        }  
    }  
  
    public void executeJob(String filename) {  
        try {  
            // 初始化Kettle环境  
            KettleEnvironment.init();  
  
            // 加载作业文件  
            JobMeta jobMeta = new JobMeta(filename, null);  
            Job job = new Job(null, jobMeta);  
  
            // 执行作业  
            job.start();  
            job.waitUntilFinished();  
  
            if (job.getErrors() > 0) {  
                throw new RuntimeException("There were errors during job execution.");  
            }  
  
        } catch (KettleException e) {  
            e.printStackTrace();  
        }  
    }  
}
import org.pentaho.di.core.KettleEnvironment;  
import org.pentaho.di.core.exception.KettleException;  
import org.pentaho.di.job.Job;  
import org.pentaho.di.job.JobMeta;  
import org.pentaho.di.repository.Repository;  
import org.pentaho.di.repository.RepositoryDirectoryInterface;  
import org.pentaho.di.repository.filename.KettleFileRepositoryMeta;  
import org.pentaho.di.trans.Trans;  
import org.pentaho.di.trans.TransMeta;  
  
import java.io.File;  
  
@Service  
public class KettleService {  
  
    public void executeTransformation(String filename) {  
        try {  
            // 初始化Kettle环境  
            KettleEnvironment.init();  
  
            // 加载转换文件  
            TransMeta transMeta = new TransMeta(filename);  
            Trans transformation = new Trans(transMeta);  
  
            // 执行转换  
            transformation.execute(null);  
            transformation.waitUntilFinished();  
  
            if (transformation.getErrors() > 0) {  
                throw new RuntimeException("There were errors during transformation execution.");  
            }  
  
        } catch (KettleException e) {  
            e.printStackTrace();  
        }  
    }  
  
    public void executeJob(String filename) {  
        try {  
            // 初始化Kettle环境  
            KettleEnvironment.init();  
  
            // 加载作业文件  
            JobMeta jobMeta = new JobMeta(filename, null);  
            Job job = new Job(null, jobMeta);  
  
            // 执行作业  
            job.start();  
            job.waitUntilFinished();  
  
            if (job.getErrors() > 0) {  
                throw new RuntimeException("There were errors during job execution.");  
            }  
  
        } catch (KettleException e) {  
            e.printStackTrace();  
        }  
    }  
}