
正文
java项目调用kettleJob和Trans
提示:扫一扫查出行【扫一扫了解最新限行尾号】
复制提示
1、调用本地Job和Trans
较简单不用多说没有遇到任何问题,以下是代码:
import org.pentaho.di.core.KettleEnvironment;
import org.pentaho.di.core.database.DatabaseMeta;
import org.pentaho.di.core.exception.KettleException;
import org.pentaho.di.core.util.EnvUtil;
import org.pentaho.di.job.Job;
import org.pentaho.di.job.JobMeta;
import org.pentaho.di.repository.Repository;
import org.pentaho.di.trans.Trans;
import org.pentaho.di.trans.TransMeta;
import org.pentaho.di.repository.RepositoryDirectoryInterface;
import org.pentaho.di.repository.kdr.KettleDatabaseRepository;
import org.pentaho.di.repository.kdr.KettleDatabaseRepositoryMeta;
public class MyUtils { public static void main(String[] args) { String[] params = {"1","content","d:\\test1.txt"};
runTransfer(params, "D:\\一起浪\\数据资源管理平台\\kettle\\test.ktr");
} /**
* 运行转换文件方法
* @param params 多个参数变量值
* @param ktrPath 转换文件的路径,后缀ktr
*/
public static void runTransfer(String[] params, String ktrPath) {
Trans trans = null;
try {
// // 初始化
// 转换元对象
KettleEnvironment.init();// 初始化
EnvUtil.environmentInit();
TransMeta transMeta = new TransMeta(ktrPath);
// 转换
trans = new Trans(transMeta); // 执行转换
trans.execute(params);
// 等待转换执行结束
trans.waitUntilFinished();
// 抛出异常
if (trans.getErrors() > 0) {
throw new Exception(
"There are errors during transformation exception!(传输过程中发生异常)");
}
} catch (Exception e) {
e.printStackTrace();
}
} /**
* java 调用 kettle 的job
*
* @param jobname
* 如: String fName= "D:\\kettle\\informix_to_am_4.ktr";
*/
public static void runJob(String[] params, String jobPath) {
try {
KettleEnvironment.init();
// jobname 是Job脚本的路径及名称
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}
// job.setVariable(paraname, paravalue);
job.setVariable("id", params[0]);
job.setVariable("content", params[1]);
job.setVariable("file", params[2]);
job.start();
job.waitUntilFinished();
if (job.getErrors() > 0) {
throw new Exception(
"There are errors during job exception!(执行job发生异常)");
}
} catch (Exception e) {
e.printStackTrace();
}
}
}
调用本地Job和Trans
2、连接oracle资源库
调用资源库中的Trans,并在本地执行,以下是代码:
/**
* 执行存储在数据库资源库中的转换
*
* @Description:
* @throws KettleException
* @author Jeffy
* @since:2016-9-23
*/
public static void executeTrans(String transName) throws KettleException {
//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("ETL", "Oracle", "Native(JDBC)", "127.0.0.1", "DBname", "1521",
"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("ETL", "ETL", "ETL 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("/test");
//创建ktr元对象
TransMeta transMeta = ((Repository) repository).loadTransformation(transName, directory, null, true, null ) ;
//执行参数
String[] params = {"1","07bb40f7200448","d:\\haha.txt"};
//创建ktr
Trans trans = new Trans(transMeta);
//执行ktr
trans.execute(params);
//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!");
}
}
过程中,KettleEnvironment.init();语句报错一般由于jar包没有引全,可根据错误的包名,去找到应该引入却未引入的jar包。另外,loadTransformation时遇到一个比较特别的错误:
2016/10/08 10:32:19 - ETL - ERROR (version 6.1.0.1-196, build 1 from 2016-04-07 12.08.49 by buildguy) : 当读共享文件时发生错误(继续加载): org.pentaho.di.core.exception.KettleDatabaseException:
2016/10/08 10:32:19 - ETL - Error determining value metadata from SQL resultset metadata
2016/10/08 10:32:19 - ETL - For input string: "4294967295"
2016/10/08 10:32:19 - ETL - ERROR (version 6.1.0.1-196, build 1 from 2016-04-07 12.08.49 by buildguy) : org.pentaho.di.core.exception.KettleDatabaseException:
2016/10/08 10:32:19 - ETL - Error determining value metadata from SQL resultset metadata
2016/10/08 10:32:19 - ETL - For input string: "4294967295"
2016/10/08 10:32:19 - ETL -
2016/10/08 10:32:19 - ETL - at org.pentaho.di.core.row.value.ValueMetaBase.getValueFromSQLType(ValueMetaBase.java:4588)
2016/10/08 10:32:19 - ETL - at org.pentaho.di.core.database.Database.getValueFromSQLType(Database.java:2267)
2016/10/08 10:32:19 - ETL - at org.pentaho.di.core.database.Database.getRowInfo(Database.java:2229)
2016/10/08 10:32:19 - ETL - at org.pentaho.di.core.database.Database.getRow(Database.java:2341)
2016/10/08 10:32:19 - ETL - at org.pentaho.di.core.database.Database.getLookup(Database.java:2713)
2016/10/08 10:32:19 - ETL - at org.pentaho.di.core.database.Database.getLookup(Database.java:2703)
2016/10/08 10:32:19 - ETL - at org.pentaho.di.core.database.Database.getLookup(Database.java:2699)
2016/10/08 10:32:19 - ETL - at org.pentaho.di.repository.kdr.delegates.KettleDatabaseRepositoryConnectionDelegate.getTransAttributeRow(KettleDatabaseRepositoryConnectionDelegate.java:619)
2016/10/08 10:32:19 - ETL - at org.pentaho.di.repository.kdr.delegates.KettleDatabaseRepositoryConnectionDelegate.getTransAttributeString(KettleDatabaseRepositoryConnectionDelegate.java:761)
2016/10/08 10:32:19 - ETL - at org.pentaho.di.repository.kdr.delegates.KettleDatabaseRepositoryTransDelegate.getTransAttributeString(KettleDatabaseRepositoryTransDelegate.java:1481)
2016/10/08 10:32:19 - ETL - at org.pentaho.di.repository.kdr.delegates.KettleDatabaseRepositoryTransDelegate.readTransSharedObjects(KettleDatabaseRepositoryTransDelegate.java:1490)
2016/10/08 10:32:19 - ETL - at org.pentaho.di.repository.kdr.delegates.KettleDatabaseRepositoryTransDelegate.loadTransformation(KettleDatabaseRepositoryTransDelegate.java:500)
2016/10/08 10:32:19 - ETL - at org.pentaho.di.repository.kdr.KettleDatabaseRepository.loadTransformation(KettleDatabaseRepository.java:278)
2016/10/08 10:32:19 - ETL - at com.inspur.commons.MyUtils.executeTrans(MyUtils.java:107)
2016/10/08 10:32:19 - ETL - at com.inspur.commons.NewTest.main(NewTest.java:126)
2016/10/08 10:32:19 - ETL - Caused by: java.lang.NumberFormatException: For input string: "4294967295"
2016/10/08 10:32:19 - ETL - at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)
2016/10/08 10:32:19 - ETL - at java.lang.Integer.parseInt(Integer.java:495)
2016/10/08 10:32:19 - ETL - at java.lang.Integer.parseInt(Integer.java:527)
2016/10/08 10:32:19 - ETL - at oracle.jdbc.driver.OracleResultSetMetaData.getPrecision(OracleResultSetMetaData.java:331)
2016/10/08 10:32:19 - ETL - at org.pentaho.di.core.row.value.ValueMetaBase.getOriginalColumnMetadata(ValueMetaBase.java:4608)
2016/10/08 10:32:19 - ETL - at org.pentaho.di.core.row.value.ValueMetaBase.getValueFromSQLType(ValueMetaBase.java:4561)
2016/10/08 10:32:19 - ETL - ... 14 more
2016/10/08 10:32:19 - ETL - ERROR (version 6.1.0.1-196, build 1 from 2016-04-07 12.08.49 by buildguy) : 一个数据库错误发生在从资源库文件读取转换时
2016/10/08 10:32:19 - ETL - org.pentaho.di.core.exception.KettleDatabaseException:
2016/10/08 10:32:19 - ETL - ERROR executing query
2016/10/08 10:32:19 - ETL -
2016/10/08 10:32:19 - ETL - Error determining value metadata from SQL resultset metadata
2016/10/08 10:32:19 - ETL - For input string: "4294967295"
这是由于oracle的jar包版本不对,原本引入的是ojdbc14.jar,去kettle目录\pdi-ce-6.1.0.1-196\data-integration\lib里找到ojdbc14-10.2.0.1.0.jar,替换掉原来的jar包就可以了。
3、远程调用
nohup ./carte.sh 127.0.0.1 8080 > ./log/carte.log &







