import com.infobright.etl.model.BrighthouseRecord; //导入依赖的package包/类
public void populate(BrighthouseRecord record, Object[] row, RowMetaInterface rowMeta)
    throws KettleValueException {

  // assume row metadata is same for all rows
  if (conv == null) {
    init(rowMeta);
  }
  
  for (int colidx = 0; colidx < record.size(); colidx++) {
    Object value = row[colidx];
    try {
      record.setData(colidx, value, conv[colidx]);
    } catch (ValueConverterException e) {
      Throwable cause = e.getCause();
      if (cause instanceof KettleValueException) {
        throw (KettleValueException) cause;
      } else if (cause instanceof RuntimeException) {
        throw (RuntimeException) cause;
      } else if (cause instanceof Error) {
        throw (Error) cause;
      } else {
        throw e;
      }
    }
  }
}
 

import com.infobright.etl.model.BrighthouseRecord; //导入依赖的package包/类
public void populate(BrighthouseRecord record, Object[] row, RowMetaInterface rowMeta)
    throws KettleException {

  // assume row metadata is same for all rows
  if (conv == null) {
    if (record.size() != rowMeta.size()) {
      throw new KettleException("Number of columns passed to Infobright "
          + "doesn't match the table definition!");
    }
    init(rowMeta);
  }
  
  for (int colidx = 0; colidx < record.size(); colidx++) {
    Object value = row[colidx];
    try {
      record.setData(colidx, value, conv[colidx]);
    } catch (ValueConverterException e) {
      Throwable cause = e.getCause();
      if (cause instanceof KettleException) {
        throw (KettleException) cause;
      } else if (cause instanceof RuntimeException) {
        throw (RuntimeException) cause;
      } else if (cause instanceof Error) {
        throw (Error) cause;
      } else {
        throw e;
      }
    }
  }
}
 

import com.infobright.etl.model.BrighthouseRecord; //导入依赖的package包/类
public void populate( BrighthouseRecord record, Object[] row, RowMetaInterface rowMeta ) throws KettleException {

    // assume row metadata is same for all rows
    if ( conv == null ) {
      if ( record.size() != rowMeta.size() ) {
        throw new KettleException( "Number of columns passed to Infobright "
          + "doesn't match the table definition!" );
      }
      init( rowMeta );
    }

    for ( int colidx = 0; colidx < record.size(); colidx++ ) {
      Object value = row[colidx];
      try {
        record.setData( colidx, value, conv[colidx] );
      } catch ( ValueConverterException e ) {
        Throwable cause = e.getCause();
        if ( cause instanceof KettleException ) {
          throw (KettleException) cause;
        } else if ( cause instanceof RuntimeException ) {
          throw (RuntimeException) cause;
        } else if ( cause instanceof Error ) {
          throw (Error) cause;
        } else {
          throw e;
        }
      }
    }
  }
 

import com.infobright.etl.model.BrighthouseRecord; //导入依赖的package包/类
/**
 * Returns a blank record for passing data. Normally called
 * only once per loader instance.
 * 
 * Must be called once before starting the run.
 *
 * @param checkValues whether to validate the values passed. If false,
 *   the record.setData() will normally not throw an exception, and
 *   the loader will throw an exception on commit. If true,
 *   the record.setData() will throw ValueConverterException???FIXME
 *   when setting the value. In this case the ETL tool can handle it
 *   gracefully, perhaps sending the row to an error stream.
 * 
 * @throws SQLException
 * @throws IllegalStateException if the run has already started
 */
public BrighthouseRecord createRecord(boolean checkValues)
        throws SQLException {
  if (runStarted) {
    throw new IllegalStateException("Run is already started");
  }
  Statement stmt = getConnection().createStatement();
  ResultSet rs = stmt.executeQuery("select * from `" + getTableName() + "` limit 0");
  ResultSetMetaData md = rs.getMetaData();
  List<AbstractColumnType> columns = BrighthouseRecord.readColumnTypes(md, charset, logger, checkValues);
  rs.close();
  stmt.close();
  return getDataFormat().createRecord(columns, charset, logger);
}