Java定时调用.ktr文件的示例代码(解决方案)

时间：2022-08-26 20:54:28

1.Maven依赖

<!-- Kettle -->
<dependency>
    <groupId>pentaho-kettle</groupId>
    <artifactId>kettle-core</artifactId>
    <version>7.1.0.0-12</version>
</dependency>
<dependency>
    <groupId>pentaho-kettle</groupId>
    <artifactId>kettle-engine</artifactId>
    <version>7.1.0.0-12</version>
</dependency>
<dependency>
    <groupId>pentaho-kettle</groupId>
    <artifactId>metastore</artifactId>
    <version>7.1.0.0-12</version>
</dependency>
<dependency>
    <groupId>commons-io</groupId>
    <artifactId>commons-io</artifactId>
    <version>1.4</version>
</dependency>

<!-- connector -->
<dependency>
    <groupId>mysql</groupId>
    <artifactId>mysql-connector-java</artifactId>
    <version>5.1.49</version>
</dependency>

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

Java定时调用.ktr文件的示例代码(解决方案)

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;

/**
 * <p> @Title KettleReadUtils
 * <p> @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:kettleaaa.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;

/**
 * <p> @Title KettleReadUtils
 * <p> @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 =
            "<?xml version="1.0" encoding="UTF-8"?>" +
                    "<connection>" +
                    "<name>db1</name>" +
                    "<server>127.0.0.1</server>" +
                    "<type>MYSQL</type>" +
                    "<access>Native</access>" +
                    "<database>test</database>" +
                    "<port>3306</port>" +
                    "<username>root</username>" +
                    "<password>root</password>" +
                    "</connection>";
    private static final String DATABASE_XML_2 =
            "<?xml version="1.0" encoding="UTF-8"?>" +
                    "<connection>" +
                    "<name>db2</name>" +
                    "<server>127.0.0.1</server>" +
                    "<type>MYSQL</type>" +
                    "<access>Native</access>" +
                    "<database>test</database>" +
                    "<port>3306</port>" +
                    "<username>root</username>" +
                    "<password>root</password>" +
                    "</connection>";
    /**
     * 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;
    }
}

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：

Java定时调用.ktr文件的示例代码(解决方案)

执行结果：

Java定时调用.ktr文件的示例代码(解决方案)

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

Java定时调用.ktr文件的示例代码(解决方案)

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。

Java定时调用.ktr文件的示例代码(解决方案)

整理完毕，完结撒花~

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原文链接：https://blog.csdn.net/qq_33204709/article/details/115833635

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