java调用kettle数据库类型资源库中的ktr

此问题在1个月前或许已经接触，单是一直木有怎么用到，就被耽搁至今；问题的解决要来源于网络，其实我还想说问题的解决更多的是要靠我们自己的思想，不过多的言情，我们接下来直接进入主题吧！

环境：kettle-spoon 4.2.0,oracle11g，myeclipse6.5，sqlserver2008

前提：在kettle图形界面spoon里面已经做好了一个ktr转换模型，此时我的ktr信息如下图：

Step1：在myeclipse创建project，导入kettle集成所需要的包

 

Step2:重点解析与code源码

//定义ktr名字

private static String transName = "test1";

//初始化kettle环境

KettleEnvironment.init();

//创建资源库对象，此时的对象还是一个空对象
KettleDatabaseRepository repository = new KettleDatabaseRepository();
//创建资源库数据库对象，类似我们在spoon里面创建资源库
DatabaseMeta dataMeta =
new DatabaseMeta("enfo_bi","Oracle","Native","ip","sid","port","username","password");
//资源库元对象,名称参数，id参数，描述等可以随便定义
KettleDatabaseRepositoryMeta kettleDatabaseMeta =
new KettleDatabaseRepositoryMeta("enfo_bi", "enfo_bi", "king description",dataMeta);
//给资源库赋值
repository.init(kettleDatabaseMeta);
//连接资源库
repository.connect("admin","admin");
//根据变量查找到模型所在的目录对象
RepositoryDirectoryInterface directory = repository.findDirectory("/enfo_worker/wxj");
//创建ktr元对象
TransMeta transformationMeta = ((Repository) repository).loadTransformation(transName, directory, null, true, null ) ;
//创建ktr
Trans trans = new Trans(transformationMeta);
//执行ktr
trans.execute(null);
//等待执行完毕
trans.waitUntilFinished();


上面的两个步骤才可以确定是资源库中的那个路径下的ktr和我们用命令执行一样的-dir ,-tran -job

附上源码：

package kettle;
import org.pentaho.di.core.KettleEnvironment;
import org.pentaho.di.core.database.DatabaseMeta;
import org.pentaho.di.core.exception.KettleException;
import org.pentaho.di.repository.Repository;
import org.pentaho.di.repository.RepositoryDirectoryInterface;
import org.pentaho.di.repository.kdr.KettleDatabaseRepository;
import org.pentaho.di.repository.kdr.KettleDatabaseRepositoryMeta;
import org.pentaho.di.trans.Trans;
import org.pentaho.di.trans.TransMeta;
/**
 * <p>Title: java调用kettle4.2数据库型资料库中的转换</p>
 * <p>Description: </p>
 * <p>Copyright: Copyright () 2012</p>
 */
public class ExecuteDataBaseRepTran {
    
    
    private static String transName = "test1";

    public static void main(String[] args) {

        try {
            //初始化kettle环境
            KettleEnvironment.init();
            //创建资源库对象，此时的对象还是一个空对象
            KettleDatabaseRepository repository = new KettleDatabaseRepository();
            //创建资源库数据库对象，类似我们在spoon里面创建资源库
            DatabaseMeta dataMeta = 
            new DatabaseMeta("enfo_bi","Oracle","Native","ip","sid","port","username","password"); 
            //资源库元对象,名称参数，id参数，描述等可以随便定义
            KettleDatabaseRepositoryMeta kettleDatabaseMeta = 
            new KettleDatabaseRepositoryMeta("enfo_bi", "enfo_bi", "king description",dataMeta);
            //给资源库赋值
            repository.init(kettleDatabaseMeta);
            //连接资源库
            repository.connect("admin","admin");
            //根据变量查找到模型所在的目录对象,此步骤很重要。
            RepositoryDirectoryInterface directory = repository.findDirectory("/enfo_worker/wxj");
            //创建ktr元对象
            TransMeta transformationMeta = ((Repository) repository).loadTransformation(transName, directory, null, true, null ) ;
            //创建ktr
            Trans trans = new Trans(transformationMeta);
            //执行ktr
            trans.execute(null);
            //等待执行完毕
            trans.waitUntilFinished();
            
            if(trans.getErrors()>0)
            {                   
                System.err.println("Transformation run Failure!");
            }
            else
            {
                System.out.println("Transformation run successfully!");
            }
        } catch (KettleException e) {
            e.printStackTrace(); 
        }
    }

}