本文目录一览：
- 1、如何将kettle 集成到java应用
- 2、java 怎么设置kettle数据库
- 3、如何将JAVA程序集成到KETTLE中
如何将kettle 集成到java应用
在Java应用程序中调用Kettle的Transformation
package com.ggd543.kettle.trans
import org.pentaho.di.core.util.EnvUtil
import org.pentaho.di.core.KettleEnvironment
import org.pentaho.di.trans.{Trans, TransMeta}
/**
*
* User: 刘永健
* Date: 12-3-8
* Time: 下午12:14
* To change this template use File | Settings | File Templates.
*/
object TransDemo extends App {
execTrans(args(0)) // ktr文件的全路径
def execTrans(fileName: String) {
KettleEnvironment.init()
EnvUtil.environmentInit();
val transMeta = new TransMeta(fileName)
val trans = new Trans(transMeta)
trans.execute(null) // you can pass arguments instead of null
trans.waitUntilFinished();
if (trans.getErrors 0) {
throw new RuntimeException("There were errors during transformation execution")
}
}
}
?xml version="1.0" encoding="UTF-8"?
project xmlns=""
xmlns:xsi=""
xsi:schemaLocation=" "
modelVersion4.0.0/modelVersion
groupIdkettledemo/groupId
artifactIdkettledemo/artifactId
version1.0/version
dependencies
!-- Test --
dependency
groupIdjunit/groupId
artifactIdjunit/artifactId
version4.8.1/version
scopetest/scope
/dependency
dependency
groupIdorg.scala-tools.testing/groupId
artifactIdspecs_2.9.1/artifactId
version1.6.9/version
scopetest/scope
/dependency
dependency
groupIdorg.scalatest/groupId
artifactIdscalatest_2.9.1/artifactId
version1.6.1/version
scopetest/scope
/dependency
dependency
groupIdcom.typesafe.akka/groupId
artifactIdakka-actor/artifactId
version2.0/version
/dependency
dependency
groupIdcom.typesafe.akka/groupId
artifactIdakka-testkit/artifactId
version2.0/version
/dependency
/dependencies
build
plugins
plugin
groupIdorg.apache.maven.plugins/groupId
artifactIdmaven-compiler-plugin/artifactId
configuration
source1.6/source
target1.6/target
encodingUTF-8/encoding
/configuration
/plugin
/plugins
/build
profiles
profile
idpentaho/id
activation
activeByDefaulttrue/activeByDefault
/activation
properties
pentaho.kettle.version4.2.1.1/pentaho.kettle.version
/properties
dependencies
dependency
groupIdpentaho-kettle/groupId
artifactIdkettle-core/artifactId
version${pentaho.kettle.version}/version
/dependency
dependency
groupIdpentaho-kettle/groupId
artifactIdkettle-db/artifactId
version${pentaho.kettle.version}/version
/dependency
dependency
groupIdpentaho-kettle/groupId
artifactIdkettle-engine/artifactId
version${pentaho.kettle.version}/version
/dependency
dependency
groupIdpentaho/groupId
artifactIdpentaho-hdfs-vfs/artifactId
version1.0.1/version
/dependency
dependency
groupIdlog4j/groupId
artifactIdlog4j/artifactId
version1.2.16/version
/dependency
dependency
groupIdpentaho-kettle/groupId
artifactIdkettle-test/artifactId
version${pentaho.kettle.version}/version
scopetest/scope
/dependency
/dependencies
repositories
repository
idpentaho/id
namePentaho Repository/name
url;/url
/repository
/repositories
/profile
profile
idscala/id
activation
activeByDefaulttrue/activeByDefault
/activation
properties
scala.version2.9.1/scala.version
/properties
repositories
repository
idtypesafe/id
nameTypesafe Repository/name
url;/url
/repository
/repositories
dependencies
dependency
groupIdorg.scala-lang/groupId
artifactIdscala-compiler/artifactId
version${scala.version}/version
scopecompile/scope
/dependency
dependency
groupIdorg.scala-lang/groupId
artifactIdscala-library/artifactId
version${scala.version}/version
/dependency
dependency
groupIdorg.scala-lang/groupId
artifactIdscala-swing/artifactId
version${scala.version}/version
/dependency
/dependencies
build
plugins
plugin
groupIdorg.scala-tools/groupId
artifactIdmaven-scala-plugin/artifactId
executions
execution
goals
goalcompile/goal
goaltestCompile/goal
/goals
/execution
/executions
/plugin
/plugins
/build
/profile
/profiles
/project
java 怎么设置kettle数据库
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;
/**
* pTitle: java调用kettle4.2数据库型资料库中的转换/p
* pDescription: /p
* pCopyright: 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();
}
}
}
如何将JAVA程序集成到KETTLE中
在Java应用程序中调用Kettle的Transformation
package com.ggd543.kettle.trans
import org.pentaho.di.core.util.EnvUtil
import org.pentaho.di.core.KettleEnvironment
import org.pentaho.di.trans.{Trans, TransMeta}
/**
*
* User: 刘永健
* Date: 12-3-8
* Time: 下午12:14
* To change this template use File | Settings | File Templates.
*/
object TransDemo extends App {
execTrans(args(0)) // ktr文件的全路径
def execTrans(fileName: String) {
KettleEnvironment.init()
EnvUtil.environmentInit();
val transMeta = new TransMeta(fileName)
val trans = new Trans(transMeta)
trans.execute(null) // you can pass arguments instead of null
trans.waitUntilFinished();
if (trans.getErrors 0) {
throw new RuntimeException("There were errors during transformation execution")
}
}
}