SpringBoot下调用kettle脚本

一、pom引入kettle相关依赖

<properties>
   <kettle.version>7.1.0.9-101</kettle.version>
</properties>
<!-- 核心包 -->
<dependency>
    <groupId>pentaho-kettle</groupId>
	<artifactId>kettle-core</artifactId>
	<version>${kettle.version}</version>
</dependency>
<dependency>
	<groupId>pentaho-kettle</groupId>
	<artifactId>kettle-engine</artifactId>
	<version>${kettle.version}</version>
</dependency>
<dependency>
    <groupId>pentaho</groupId>
    <artifactId>metastore</artifactId>
    <version>${kettle.version}</version>
</dependency>
<!-- 其他依赖包，不同版本可能不同 -->
<dependency>
    <groupId>org.apache.commons</groupId>
    <artifactId>commons-vfs2</artifactId>
    <version>2.1</version>
</dependency>

二、设置脚本参数

打开转换或者作业脚本，右键，选择“转换设置”或者“作业设置”，设置命名参数。参数可以在脚本中用${name}方式使用，包括数据库连接都可以用。在java程序调用时，可以传递参数给脚本，实现动态变化；

三、Java中调用脚本

import java.lang.reflect.Field;
import java.time.LocalDate;
import java.time.format.DateTimeFormatter;
import java.util.HashMap;
import java.util.Map;
import java.util.Map.Entry;

import org.pentaho.di.core.KettleEnvironment;
import org.pentaho.di.core.exception.KettleException;
import org.pentaho.di.core.util.EnvUtil;
import org.pentaho.di.job.Job;
import org.pentaho.di.job.JobMeta;
import org.pentaho.di.trans.Trans;
import org.pentaho.di.trans.TransMeta;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Component;

/**
 * kettle 工具类
 * @author 锁战强
 *
 */

public class KettleUtils {
	private static String KETTLE_FILE_PATH="";
	static {
		try {
			KettleEnvironment.init();//初始化kettle环境
			EnvUtil.environmentInit();//读取kettle.properties文件加入环境变量
		} catch (KettleException e) {
			throw new AppException(e, ErrorCode.KETTLE_INIT_FAIL);
		}
	}
	/** 
	 * 运行转换文件方法
	 * @param ktrPath 转换文件的路径，后缀ktr
	 * @param params 多个参数变量值
	 */
	public static void runTransfer(String ktrPath, Map<String,String> variables, String[] params) {
		Trans trans = null;
		try {
			TransMeta transMeta = new TransMeta(KETTLE_FILE_PATH + ktrPath);
			// 转换
			trans = new Trans(transMeta);
			if(variables != null) {
				for(Entry<String,String> entry : variables.entrySet()) {
					trans.setParameterValue(entry.getKey(), entry.getValue());
				}
			}
			// 执行转换
			trans.execute(params);
			// 等待转换执行结束
			trans.waitUntilFinished();
			// 抛出异常
			if (trans.getErrors() > 0) {
				throw new AppException(ErrorCode.KETTLE_RUN_JOB_ERROR);
			}
		} catch (Exception e) {
			throw new AppException(e,ErrorCode.KETTLE_RUN_JOB_ERROR);
		}		
	}
 
	/**
	 * java 调用 kettle 的job
	 * 
	 */
	public static void runJob(String jobPath,Map<String,String> variables, String[] params) {
		try {
			// jobname 是Job脚本的路径及名称
			JobMeta jobMeta = new JobMeta(KETTLE_FILE_PATH + jobPath, null);			
			// 向Job 脚本传递参数，脚本中获取参数值：${参数名}
			for(Entry<String,String> entry : variables.entrySet()) {
				jobMeta.setParameterValue(entry.getKey(), entry.getValue());
			}
			Job job = new Job(null, jobMeta);
			job.start();
			job.waitUntilFinished();
			if (job.getErrors() > 0) {
				throw new AppException(ErrorCode.KETTLE_RUN_JOB_ERROR);
			}
		} catch (Exception e) {
			throw new AppException(e,ErrorCode.KETTLE_RUN_JOB_ERROR);
		}
	}

	public static void main(String[] args) {
		String kettlePath = "f:/a.ktr";
    	Map<String,String> map = new HashMap<>();
    	map.put("db.host", "127.0.0.1");
    	map.put("db.name", "compass");
    	map.put("db.port", "1433");
    	map.put("db.user", "sa");
    	map.put("db.pwd", "******");    	
    	KettleUtils.runTransfer(kettlePath, map, null);
	}
}