1.Maven依赖
pentaho-kettle kettle-core 7.1.0.0-12 pentaho-kettle kettle-engine 7.1.0.0-12 pentaho-kettle metastore 7.1.0.0-12 commons-io commons-io 1.4 mysql mysql-connector-java 5.1.49
注意：kettle的jar包依赖会拉不下来，需要将jar包install到本地，命令：
创建 0_install.bat 文件
:: 本地 install kettle-core.jar包 CALL mvn install:install-file -Dfile=kettle-core-7.1.0.0-12.jar -DgroupId=pentaho-kettle -DartifactId=kettle-core -Dversion=7.1.0.0-12 -Dpackaging=jar :: 本地 install kettle-engine.jar包 CALL mvn install:install-file -Dfile=kettle-engine-7.1.0.0-12.jar -DgroupId=pentaho-kettle -DartifactId=kettle-engine -Dversion=7.1.0.0-12 -Dpackaging=jar :: 本地 install metastore.jar包 CALL mvn install:install-file -Dfile=metastore-7.1.0.0-12.jar -DgroupId=pentaho-kettle -DartifactId=metastore -Dversion=7.1.0.0-12 -Dpackaging=jar pause
或者deploy到内网私服上，命令：
创建 1_deploy.bat 文件
:: 私服 deploy kettle-core.jar包 CALL mvn deploy:deploy-file -Dfile=kettle-core-7.1.0.0-12.jar -DgroupId=pentaho-kettle -DartifactId=kettle-core -Dversion=7.1.0.0-12 -Dpackaging=jar -Durl=http://192.168.1.132/nexus/content/repositories/Third/ -DrepositoryId=服务ID :: 私服 deploy kettle-engine.jar包 CALL mvn deploy:deploy-file -Dfile=kettle-engine-7.1.0.0-12.jar -DgroupId=pentaho-kettle -DartifactId=kettle-engine -Dversion=7.1.0.0-12 -Dpackaging=jar -Durl=http://192.168.1.132/nexus/content/repositories/Third/ -DrepositoryId=服务ID :: 私服 deploy metastore.jar包 CALL mvn deploy:deploy-file -Dfile=metastore-7.1.0.0-12.jar -DgroupId=pentaho-kettle -DartifactId=metastore -Dversion=7.1.0.0-12 -Dpackaging=jar -Durl=http://192.168.1.132/nexus/content/repositories/Third/ -DrepositoryId=服务ID pause
（脚本创建在jar包目录下，创建好之后双击运行即可）
【jar包、脚本文件下载地址】
https://share.weiyun.com/eaOSjqP7
2.执行.ktr/.kjb工具类
KettleReadUtils.java
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 java.io.InputStream; /** *@Title KettleReadUtils *
@Description Kettle工具包 * * @author zhj * @date 2021/4/8 10:50 */ public class KettleReadUtils { /** * 调用 kettle ktr * * @param path 文件路径 */ public static void runKtr(String path) { try { KettleEnvironment.init(); EnvUtil.environmentInit(); TransMeta transMeta = new TransMeta(path); Trans trans = new Trans(transMeta); trans.execute(null); trans.waitUntilFinished(); if (trans.getErrors() > 0) { throw new Exception("Errors during transformation execution!"); } } catch (Exception e) { e.printStackTrace(); } } /** * 以流的方式调用 kettle ktr * * @param in 文件流 */ public static void runKtrByStream(InputStream in) { try { KettleEnvironment.init(); TransMeta transMeta = new TransMeta(in, null, true, null, null); Trans trans = new Trans(transMeta); trans.execute(null); trans.waitUntilFinished(); if (trans.getErrors() > 0) { throw new Exception("Errors during transformation execution!"); } } catch (Exception e) { e.printStackTrace(); } } /** * 调用 kettle job * * @param paraNames 多个参数名 * @param paraValues 多个参数值 * @param jobPath 如： String fName= "D:\\kettle\\aaa.kjb"; */ public static void runJob(String[] paraNames, String[] paraValues, String jobPath) { try { KettleEnvironment.init(); JobMeta jobMeta = new JobMeta(jobPath, null); Job job = new Job(null, jobMeta); // 向Job 脚本传递参数，脚本中获取参数值：${参数名} if (paraNames != null && paraValues != null) { for (int i = 0; i < paraNames.length && i < paraValues.length; i++) { job.setVariable(paraNames[i], paraValues[i]); } } job.start(); job.waitUntilFinished(); if (job.getErrors() > 0) { throw new Exception("Errors during job execution!"); } } catch (Exception e) { e.printStackTrace(); } } }
3.创建.ktr/.kjb工具类
（此处只是提供java创建途径，可以直接使用Spoon.bat创建好的文件）
import org.apache.commons.io.FileUtils; import org.pentaho.di.core.KettleEnvironment; import org.pentaho.di.core.database.DatabaseMeta; import org.pentaho.di.core.exception.KettleXMLException; import org.pentaho.di.core.plugins.PluginRegistry; import org.pentaho.di.core.plugins.StepPluginType; import org.pentaho.di.trans.TransHopMeta; import org.pentaho.di.trans.TransMeta; import org.pentaho.di.trans.step.StepMeta; import org.pentaho.di.trans.steps.insertupdate.InsertUpdateMeta; import org.pentaho.di.trans.steps.tableinput.TableInputMeta; import java.io.File; /** *@Title KettleReadUtils *
@Description Kettle工具包 * * @author zhj * @date 2021/4/8 10:50 */ public class KettleWriteUtils { /** * 数据库连接信息,适用于DatabaseMeta其中 一个构造器DatabaseMeta(String xml) */ private static final String DATABASE_XML_1 = "" + "
" + " "; private static final String DATABASE_XML_2 = "" + "db1 " + "127.0.0.1 " + "MYSQL " + "Native " + "test " + "3306 " + "root " + "root " + "" + " "; /** * 创建ktr文件 * * @param args args */ public static void main(String[] args) { try { KettleEnvironment.init(); KettleWriteUtils kettleWriteUtils = new KettleWriteUtils(); TransMeta transMeta = kettleWriteUtils.generateMyOwnTrans(); String transXml = transMeta.getXML(); String transName = "update_insert_Trans.ktr"; File file = new File(transName); FileUtils.writeStringToFile(file, transXml, "UTF-8"); } catch (Exception e) { e.printStackTrace(); return; } } /** * 生成一个转化,把一个数据库中的数据转移到另一个数据库中,只有两个步骤,第一个是表输入,第二个是表插入与更新操作 * @return 元数据 * @throws KettleXMLException 生成XML异常 */ private TransMeta generateMyOwnTrans() throws KettleXMLException { TransMeta transMeta = new TransMeta(); //设置转化的名称 transMeta.setName("insert_update"); //添加转换的数据库连接 DatabaseMeta databaseMeta1 = new DatabaseMeta(DATABASE_XML_1); transMeta.addDatabase(databaseMeta1); DatabaseMeta databaseMeta2 = new DatabaseMeta(DATABASE_XML_2); transMeta.addDatabase(databaseMeta2); //registry是给每个步骤生成一个标识Id用 PluginRegistry registry = PluginRegistry.getInstance(); //第一个表输入步骤(TableInputMeta) TableInputMeta tableInput = new TableInputMeta(); String tableInputPluginId = registry.getPluginId(StepPluginType.class, tableInput); //给表输入添加一个DatabaseMeta连接数据库 DatabaseMeta db1 = transMeta.findDatabase("db1"); tableInput.setDatabaseMeta(db1); String sql = "SELECT USER_ID,USER_NAME FROM t_manager_user"; tableInput.setSQL(sql); //添加TableInputMeta到转换中 StepMeta tableInputMetaStep = new StepMeta(tableInputPluginId, "table input", tableInput); //给步骤添加在spoon工具中的显示位置 tableInputMetaStep.setDraw(true); tableInputMetaStep.setLocation(100, 100); transMeta.addStep(tableInputMetaStep); //第二个步骤插入与更新 InsertUpdateMeta insertUpdateMeta = new InsertUpdateMeta(); String insertUpdateMetaPluginId = registry.getPluginId(StepPluginType.class, insertUpdateMeta); //添加数据库连接 DatabaseMeta db2 = transMeta.findDatabase("db2"); insertUpdateMeta.setDatabaseMeta(db2); //设置操作的表 insertUpdateMeta.setTableName("t_stat_user_info"); //设置用来查询的关键字 insertUpdateMeta.setKeyLookup(new String[]{"USER_ID"}); insertUpdateMeta.setKeyStream(new String[]{"USER_ID"}); insertUpdateMeta.setKeyStream2(new String[]{""}); insertUpdateMeta.setKeyCondition(new String[]{"="}); //设置要更新的字段 String[] updatelookup = {"USER_ID","USER_NAME"} ; String[] updateStream = {"USER_ID","USER_NAME"} ; Boolean[] updateOrNot = {false,true}; insertUpdateMeta.setUpdateLookup(updatelookup); insertUpdateMeta.setUpdateStream(updateStream); insertUpdateMeta.setUpdate(updateOrNot); //添加步骤到转换中 StepMeta insertUpdateStep = new StepMeta(insertUpdateMetaPluginId, "insert_update", insertUpdateMeta); insertUpdateStep.setDraw(true); insertUpdateStep.setLocation(250, 100); transMeta.addStep(insertUpdateStep); //添加hop把两个步骤关联起来 transMeta.addTransHop(new TransHopMeta(tableInputMetaStep, insertUpdateStep)); return transMeta; } }db2 " + "127.0.0.1 " + "MYSQL " + "Native " + "test " + "3306 " + "root " + "root " + "
4.测试执行.ktr文件
执行用例：
public static void main(String[] args) {
InputStream inputStream = KettleReadUtils.class.getResourceAsStream("/etl/test.ktr");
runKtrByStream(inputStream);
}
.ktr文件位置：
执行结果：
5.Kettle所使用的mysql-connector 5.1.49 和 8 版本不兼容问题
- mysql-connector-java 5.1.49 版本中，支持连接驱动，
org.gjt.mm.mysql.Driver； - mysql-connector-java 8.* 版本中，连接驱动，
com.mysql.cj.jdbc.Driver； - 如果直接使用 8.* 版本 去连接 MySQL 数据库的话会出现"错误连接数据库"问题：
Driver class ‘org.gjt.mm.mysql.Driver' could not be found, make sure the ‘MySQL' driver (jar file) is installed.
org.gjt.mm.mysql.Driver
解决方案：
1.关闭Kettle；
2.将/data-integration/lib/ 下面的 mysql-connector-java-5.1.49.jar 替换为 mysql-connector-java-8.*.jar；
3.打开Kettle，修改连接类型为 Generic database ，配置驱动名称为 com.mysql.cj.jdbc.Driver；
4.重新导出为.ktr/.kjb文件；
5.再用java调用即可解决问题。
整理完毕，完结撒花~
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