java调用kettle脚本ktr

妖狐艹你老母 2022-03-18 19:06 1881阅读 1赞

### 1.首先用kettle界面写好一个ktr脚本，如下图，在这里的kettle使用的是官方的7.1版本 ###

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMyNDQ4MzQ5_size_16_color_FFFFFF_t_70][]

## 2.在自己的项目里面添加如下依赖，前面几个可以通过maven依赖进来，后面有的jar可以在kettle的应用里面找到 ##

<dependency>
    			<groupId>org.apache.commons</groupId>
    			<artifactId>commons-vfs2</artifactId>
    			<version>2.0</version>
    		</dependency>
     
    		<dependency>
    			<groupId>com.google.guava</groupId>
    			<artifactId>guava</artifactId>
    			<version>27.0.1-jre</version>
    		</dependency>
    
    		<dependency>
    			<groupId>org.scannotation</groupId>
    			<artifactId>scannotation</artifactId>
    			<version>1.0.3</version>
    		</dependency>
    		<dependency>
    			<groupId>dom4j</groupId>
    			<artifactId>dom4j</artifactId>
    		</dependency>
    		<dependency>
    			<groupId>com.kettle</groupId>
    			<artifactId>pentaho-vfs-browser</artifactId>
    			<version>7.1.0.0</version>
    			<scope>system</scope>
    			<systemPath>${project.basedir}/lib/pentaho-vfs-browser-7.1.0.0-        
              12.jar</systemPath>
    		</dependency>
    		<dependency>
    			<groupId>com.kettle</groupId>
    			<artifactId>kettle-engine</artifactId>
    			<version>7.1.0.0</version>
    			<scope>system</scope>
    			<systemPath>${project.basedir}/lib/kettle-engine-7.1.0.0-12.jar</systemPath>
    		</dependency>
    		<dependency>
    			<groupId>com.kettle</groupId>
    			<artifactId>kettle-core</artifactId>
    			<version>7.1.0.0</version>
    			<scope>system</scope>
    			<systemPath>${project.basedir}/lib/kettle-core-7.1.0.0-12.jar</systemPath>
    		</dependency>
    		<dependency>
    			<groupId>com.kettle</groupId>
    			<artifactId>metastore</artifactId>
    			<version>7.1.0.0</version>
    			<scope>system</scope>
    			<systemPath>${project.basedir}/lib/metastore-7.1.0.0-12.jar</systemPath>
    		</dependency>

## 3.编写java文件kettle.java,main方法执行成功！ ##

import java.util.Map;
    import java.util.UUID;
    
    import org.pentaho.di.core.KettleEnvironment;
    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.slf4j.Logger;
    import org.slf4j.LoggerFactory;
     
    public class KettleQuartz {
     
    	protected static final Logger logger_info = LoggerFactory.getLogger(KettleQuartz.class);
     
    
    	public static void main(String[] args) {
    		runKettleTransfer(null, "C:\\dems\\kettle\\dems.ktr");
    	}
    
    	/**
    	 * 执行作业
    	 * 
    	 * @param initKettleParam
    	 * @param kjbFilePath
    	 * @return
    	 */
    	public static boolean runKettleJob(Map<String, String> initKettleParam, String kjbFilePath) {
    		String uuid = UUID.randomUUID().toString();
    		logger_info.info("ExecKettleUtil@runKettleJob:" + uuid + " {kjbFilePath:" + kjbFilePath + "}");
    		try {
    			KettleEnvironment.init();
    			// 初始化job路径
    			JobMeta jobMeta = new JobMeta(kjbFilePath, null);
    			Job job = new Job(null, jobMeta);
    			// 初始化job参数，脚本中获取参数值：${variableName}
    			if (initKettleParam != null) {
    				for (String variableName : initKettleParam.keySet()) {
    					job.setVariable(variableName, initKettleParam.get(variableName));
    				}
    			}
    
    			job.start();
    			job.waitUntilFinished();
    			if (job.getErrors() > 0) {
    				logger_info.info("ExecKettleUtil@runKettleJob:" + uuid + " 执行失败");
    			} else {
    				logger_info.info("ExecKettleUtil@runKettleJob:" + uuid + " 执行成功");
    			}
    			return true;
    		} catch (Exception e) {
    			logger_info.error("ExecKettleUtil@runKettleJob:" + uuid, e);
    			return false;
    		}
    	}
    
    	/**
    	 * 执行转换
    	 * @param initKettleParam
    	 * @param ktrFilePath
    	 * @return
    	 */
    	public static boolean runKettleTransfer(Map<String, String> initKettleParam, String ktrFilePath) {
    		Trans trans = null;
    		String uuid = UUID.randomUUID().toString();
    		logger_info.info("ExecKettleUtil@runKettleTransfer:" + uuid + " {ktrFilePath:" + ktrFilePath + "}");
    		try {
    			// 初始化
    			KettleEnvironment.init();
    			EnvUtil.environmentInit();
    			TransMeta transMeta = new TransMeta(ktrFilePath);
    			// 转换
    			trans = new Trans(transMeta);
    			// 初始化trans参数，脚本中获取参数值：${variableName}
    			if (initKettleParam != null) {
    				for (String variableName : initKettleParam.keySet()) {
    					trans.setVariable(variableName, initKettleParam.get(variableName));
    				}
    			}
    
    			// 执行转换
    			trans.execute(null);
    			// 等待转换执行结束
    			trans.waitUntilFinished();
    			if (trans.getErrors() > 0) {
    				logger_info.info("ExecKettleUtil@runKettleTransfer:" + uuid + " 执行失败");
    			} else {
    				logger_info.info("ExecKettleUtil@runKettleTransfer:" + uuid + " 执行成功");
    			}
    			return true;
    		} catch (Exception e) {
    			logger_info.error("ExecKettleUtil@runKettleTransfer:" + uuid, e);
    			return false;
    		}
    	}
    
    }

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMyNDQ4MzQ5_size_16_color_FFFFFF_t_70 1][]

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[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMyNDQ4MzQ5_size_16_color_FFFFFF_t_70 1]: /images/20220318/9091828593584cf9a7bfe442da9ca326.png