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Java定时调用.ktr文件的示例代码(解决方案)

时间:2021-09-10 10:47     来源/作者:ACGkaka_

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~

到此这篇关于Java定时调用.ktr文件的示例代码的文章就介绍到这了,更多相关Java定时调用.ktr文件内容请搜索服务器之家以前的文章或继续浏览下面的相关文章希望大家以后多多支持服务器之家!

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

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