Java RowAdapter类代码示例

本文整理汇总了Java中org.pentaho.di.trans.step.RowAdapter类的典型用法代码示例。如果您正苦于以下问题：Java RowAdapter类的具体用法？Java RowAdapter怎么用？Java RowAdapter使用的例子？那么, 这里精选的类代码示例或许可以为您提供帮助。

RowAdapter类属于org.pentaho.di.trans.step包，在下文中一共展示了RowAdapter类的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。

示例1: test02_SelectFrom

import org.pentaho.di.trans.step.RowAdapter; //导入依赖的package包/类
public void test02_SelectFrom() throws Exception {
  KettleEnvironment.init();
  
  String sqlQuery = "SELECT Category, Country, products_sold as nr, sales_amount as sales FROM Service";
  
  SqlTransExecutor executor = new SqlTransExecutor(sqlQuery, getServices());

  final List<RowMetaAndData> rows = new ArrayList<RowMetaAndData>();
  
  // print the eventual result rows...
  //
  executor.executeQuery(new RowAdapter() { @Override
  public void rowWrittenEvent(RowMetaInterface rowMeta, Object[] row) throws KettleStepException {
    rows.add(new RowMetaAndData(rowMeta, row));
  } });
      
  // Now the generated transformation is waiting for input so we
  // can start the service transformation
  //
  executor.waitUntilFinished();
  
  assertEquals(8, rows.size());
}

开发者ID:jjeb，项目名称:kettle-trunk，代码行数:24，代码来源:SqlTransMetaTest.java

示例2: test04_SelectFromWhereGroupBy

import org.pentaho.di.trans.step.RowAdapter; //导入依赖的package包/类
public void test04_SelectFromWhereGroupBy() throws Exception {
  KettleEnvironment.init();
  
  String sqlQuery = "SELECT Country, SUM(products_sold) as count, SUM(sales_amount) as sales FROM Service WHERE Category = 'A' GROUP BY Country";
  
  SqlTransExecutor executor = new SqlTransExecutor(sqlQuery, getServices());

  final List<RowMetaAndData> rows = new ArrayList<RowMetaAndData>();
  
  // print the eventual result rows...
  //
  executor.executeQuery(new RowAdapter() { @Override
  public void rowWrittenEvent(RowMetaInterface rowMeta, Object[] row) throws KettleStepException {
    rows.add(new RowMetaAndData(rowMeta, row));
  } });
      
  // Now the generated transformation is waiting for input so we
  // can start the service transformation
  //
  executor.waitUntilFinished();
  
  assertEquals(4, rows.size());
}

开发者ID:jjeb，项目名称:kettle-trunk，代码行数:24，代码来源:SqlTransMetaTest.java

示例3: test05_SelectFromGroupBy

import org.pentaho.di.trans.step.RowAdapter; //导入依赖的package包/类
public void test05_SelectFromGroupBy() throws Exception {
  KettleEnvironment.init();
  
  String sqlQuery = "SELECT Country, SUM(products_sold) as count, SUM(sales_amount) as sales FROM Service GROUP BY Country";
  
  SqlTransExecutor executor = new SqlTransExecutor(sqlQuery, getServices());

  final List<RowMetaAndData> rows = new ArrayList<RowMetaAndData>();
  
  // collect the eventual result rows...
  //
  executor.executeQuery(new RowAdapter() { @Override
  public void rowWrittenEvent(RowMetaInterface rowMeta, Object[] row) throws KettleStepException {
    rows.add(new RowMetaAndData(rowMeta, row));
  } });
          
  // Now the generated transformation is waiting for input so we
  // can start the service transformation
  //
  executor.waitUntilFinished();
  
  assertEquals(4, rows.size());
}

开发者ID:jjeb，项目名称:kettle-trunk，代码行数:24，代码来源:SqlTransMetaTest.java

示例4: processRows

import org.pentaho.di.trans.step.RowAdapter; //导入依赖的package包/类
/**
 * So as not to heap up list of taken parameters, we are passing combi, but we expect to see CsvInput class instances
 * in it's content.
 */
private int processRows( StepMetaDataCombi combi ) throws Exception {

  CsvInput csvInput = (CsvInput) combi.step;
  CsvInputData stepData = (CsvInputData) combi.data;
  CsvInputMeta stepMeta = (CsvInputMeta) combi.meta;

  final int[] writtenRows = { 0 };

  csvInput.addRowListener( new RowAdapter() {
    @Override
    public void rowWrittenEvent( RowMetaInterface rowMeta, Object[] row ) throws KettleStepException {
      writtenRows[ 0 ]++;
    }
  } );

  boolean haveRowsToRead;
  do {
    haveRowsToRead = !csvInput.processRow( stepMeta, stepData );
  } while ( !haveRowsToRead );

  csvInput.dispose( stepMeta, stepData );

  return writtenRows[ 0 ];
}

开发者ID:pentaho，项目名称:pentaho-kettle，代码行数:29，代码来源:CsvProcessRowInParallelTest.java