/** * This program is free software; you can redistribute it and/or modify it under the * terms of the GNU Lesser General Public License, version 2.1 as published by the Free Software * Foundation. * * You should have received a copy of the GNU Lesser General Public License along with this * program; if not, you can obtain a copy at http://www.gnu.org/licenses/old-licenses/lgpl-2.1.html * or from the Free Software Foundation, Inc., * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. * * This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; * without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. * See the GNU Lesser General Public License for more details. * * Copyright 2006 - 2009 Pentaho Corporation. All rights reserved. * * * @created January 3rd, 2006 * @author Michael D'Amour **/ package org.pentaho.platform.plugin.action.datatransforms; import java.util.Set; import org.apache.commons.logging.Log; import org.apache.commons.logging.LogFactory; import org.pentaho.commons.connection.IPentahoResultSet; import org.pentaho.commons.connection.PentahoDataTransmuter; import org.pentaho.platform.engine.services.solution.ComponentBase; import org.pentaho.platform.engine.services.solution.StandardSettings; import org.pentaho.platform.plugin.action.messages.Messages; /** * * This class flattens an IPentahoResultSet by looking at a particular column. * * * The flattening is based on a particular column, as we build our consolidated * row, we look at the this columns value to create a new consolidated row when * it changes. * * eg) * * Dec 20, 2005 3432 Dec 20, 2005 235 Dec 20, 2005 8568 Dec 20, 2005 5685 Dec * 20, 2005 9873 Dec 29, 2005 24685 Dec 29, 2005 12345 Dec 29, 2005 13151 Dec * 29, 2005 12302 Dec 29, 2005 34772 * * Dec 20, 2005 3432 235 8568 5685 9873 Dec 29, 2005 24685 12345 13151 12302 * 34772 */ public class ResultSetFlattenerComponent extends ComponentBase { /** * */ private static final String RESULT_SET = "result-set"; //$NON-NLS-1$ private static final String FLATTEN_COLUMN = "flatten-column"; //$NON-NLS-1$ private static final long serialVersionUID = 5969716585776621813L; @Override public Log getLogger() { return LogFactory.getLog(ResultSetFlattenerComponent.class); } @Override public boolean init() { // TODO Auto-generated method stub return true; } @Override protected boolean validateSystemSettings() { // This component does not have any system settings to validate return true; } @Override protected boolean validateAction() { if (!isDefinedInput(ResultSetFlattenerComponent.RESULT_SET)) { error(Messages.getInstance().getString("ResultSetFlattenerComponent.ERROR_0001_DATA_INPUT_INVALID_OBJECT")); //$NON-NLS-1$ return false; } if (getResultOutputName() == null) { error(Messages.getInstance().getString("ResultSetFlattenerComponent.ERROR_0002_INVALID_OUTPUT")); //$NON-NLS-1$ return false; } if (!isDefinedInput(ResultSetFlattenerComponent.FLATTEN_COLUMN)) { error(Messages.getInstance().getString("ResultSetFlattenerComponent.ERROR_0003_INVALID_FLATTEN_COLUMN")); //$NON-NLS-1$ return false; } return true; } @Override protected boolean executeAction() { Object resultSetObject = getInputValue(ResultSetFlattenerComponent.RESULT_SET); if (resultSetObject instanceof IPentahoResultSet) { IPentahoResultSet resultset = (IPentahoResultSet) resultSetObject; int column = (int) getInputLongValue(ResultSetFlattenerComponent.FLATTEN_COLUMN, 0); column--; if (getResultOutputName() != null) { setOutputValue(getResultOutputName(), PentahoDataTransmuter.flattenResultSet(resultset, column)); } } return true; } @Override public void done() { } public String getResultOutputName() { Set outputs = getOutputNames(); if ((outputs == null) || (outputs.size() == 0)) { error(Messages.getInstance().getString("Template.ERROR_0002_OUTPUT_COUNT_WRONG")); //$NON-NLS-1$ return null; } String outputName = null; try { outputName = getInputStringValue(StandardSettings.OUTPUT_NAME); } catch (Exception e) { } if (outputName == null) { // Drop back to the old behavior outputName = (String) outputs.iterator().next(); } return outputName; } }