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/* gvSIG. Geographic Information System of the Valencian Government
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*
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* Copyright (C) 2007-2008 Infrastructures and Transports Department
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* of the Valencian Government (CIT)
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*
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* This program is free software; you can redistribute it and/or
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* modify it under the terms of the GNU General Public License
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* as published by the Free Software Foundation; either version 2
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* of the License, or (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston,
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* MA 02110-1301, USA.
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*
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*/
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/*
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* AUTHORS (In addition to CIT):
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* 2009 IVER T.I. S.A. {{Task}}
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*/
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/**
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*
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*/
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package org.gvsig.fmap.dal.feature;
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import java.util.ArrayList;
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import java.util.Collections;
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import java.util.Iterator;
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import java.util.List;
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import java.util.Random;
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import java.util.TreeSet;
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import org.gvsig.fmap.dal.DALLocator;
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import org.gvsig.fmap.dal.DataManager;
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import org.gvsig.fmap.dal.DataServerExplorer;
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import org.gvsig.fmap.dal.DataStoreParameters;
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import org.gvsig.fmap.dal.DataTypes;
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import org.gvsig.fmap.dal.exception.DataEvaluatorRuntimeException;
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import org.gvsig.fmap.dal.exception.DataException;
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import org.gvsig.fmap.dal.feature.FeatureQueryOrder.FeatureQueryOrderMember;
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import org.gvsig.fmap.dal.feature.testmulithread.StoreTask;
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import org.gvsig.fmap.dal.resource.ResourceManager;
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import org.gvsig.fmap.geom.Geometry;
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import org.gvsig.tools.ToolsLocator;
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import org.gvsig.tools.dispose.DisposableIterator;
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import org.gvsig.tools.dynobject.DynClass;
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import org.gvsig.tools.dynobject.DynField;
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import org.gvsig.tools.dynobject.DynObject;
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import org.gvsig.tools.evaluator.Evaluator;
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import org.gvsig.tools.evaluator.EvaluatorData;
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import org.gvsig.tools.evaluator.EvaluatorException;
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import org.gvsig.tools.evaluator.EvaluatorFieldsInfo;
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import org.gvsig.tools.junit.AbstractLibraryAutoInitTestCase;
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import org.gvsig.tools.persistence.PersistentState;
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import org.gvsig.tools.persistence.exception.PersistenceException;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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/**
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* @author jmvivo
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*
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*/
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public abstract class BaseTestFeatureStore extends
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AbstractLibraryAutoInitTestCase {
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private static Logger logger = null;
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protected DataManager dataManager = null;
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private static Random rnd;
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public Logger getLogger() {
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if (logger == null) {
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logger = LoggerFactory.getLogger(this.getClass());
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}
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return logger;
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}
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public abstract boolean usesResources();
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public abstract boolean hasExplorer();
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public FeatureQuery getDefaultQuery(FeatureStore store)
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throws DataException {
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FeatureQuery query = store.createFeatureQuery();
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FeatureAttributeDescriptor[] key = store.getDefaultFeatureType()
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.getPrimaryKey();
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for (int i = 0; i < key.length; i++) {
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query.getOrder().add(key[i].getName(), true);
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}
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return query;
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}
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public abstract DataStoreParameters getDefaultDataStoreParameters()
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throws DataException;
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protected void doSetUp() throws Exception {
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dataManager = DALLocator.getDataManager();
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}
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//=================================================
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public void printFeature(Feature feature, int maxColSize) {
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printFeature(feature, true, maxColSize);
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}
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public void printFeature(Feature feature, boolean showColName,int maxColSize) {
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FeatureType fType = feature.getType();
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if (showColName){
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this.printFeatureTypeColNames(feature.getType(), maxColSize);
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}
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StringBuffer row = new StringBuffer();
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Iterator iter = fType.iterator();
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FeatureAttributeDescriptor attr;
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while (iter.hasNext()) {
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attr = (FeatureAttributeDescriptor) iter.next();
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row.append(truncateOrFillString(feature.get(attr.getName()),
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maxColSize + 1, ' '));
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}
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System.out.println(row.toString());
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}
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public String truncateOrFillString(Object str, int max, char fillWith) {
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if (str == null) {
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return truncateOrFillString("{null}", max, fillWith);
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}
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return truncateOrFillString(str.toString(), max, fillWith);
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}
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public String truncateOrFillString(String str, int max, char fillWith) {
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if (str.length() > max) {
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return str.substring(0, max - 1) + " ";
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} else {
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StringBuffer strB = new StringBuffer(str);
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while (strB.length() < max) {
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strB.append(fillWith);
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}
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return strB.toString();
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}
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}
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public void printFeatureTypeColNames(FeatureType fType, int maxColSize) {
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Iterator iter = fType.iterator();
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FeatureAttributeDescriptor attr;
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StringBuffer colNames = new StringBuffer();
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StringBuffer typeNames = new StringBuffer();
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StringBuffer sep = new StringBuffer();
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if (maxColSize < 1){
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maxColSize = 15;
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}
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while (iter.hasNext()) {
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attr = (FeatureAttributeDescriptor) iter.next();
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colNames.append(truncateOrFillString(attr.getName(), maxColSize + 1, ' '));
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typeNames.append(truncateOrFillString("(" + attr.getDataTypeName() + ")",
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maxColSize + 1, ' '));
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sep.append(truncateOrFillString("", maxColSize, '='));
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sep.append(' ');
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}
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System.out.println("");
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System.out.println("");
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System.out.println(colNames.toString());
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System.out.println(typeNames.toString());
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System.out.println(sep.toString());
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}
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protected FeatureAttributeDescriptor getFirstAttributeOfType(
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FeatureType ftype, int dataType) {
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return getFirstAttributeOfType(ftype, new int[] { dataType });
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}
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protected FeatureAttributeDescriptor getFirstAttributeOfType(
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FeatureType ftype, int[] dataTypes) {
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FeatureAttributeDescriptor attr;
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Iterator iter = ftype.iterator();
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int i;
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while (iter.hasNext()) {
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attr = (FeatureAttributeDescriptor) iter.next();
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for (i = 0; i < dataTypes.length; i++) {
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if (attr.getType() == dataTypes[i]) {
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return attr;
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}
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}
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}
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return null;
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}
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protected boolean compareDynObject(DynObject obj1, DynObject obj2) {
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DynClass dynClass = obj1.getDynClass();
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if (!dynClass.getName().equals(obj2.getDynClass().getName())) {
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return false;
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}
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DynField[] fields = dynClass.getDeclaredDynFields();
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String fieldName;
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Object v1, v2;
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for (int i = 0; i < fields.length; i++) {
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fieldName = fields[i].getName();
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v1 = obj1.getDynValue(fieldName);
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v2 = obj2.getDynValue(fieldName);
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if (v1 == v2) {
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continue;
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} else if (v1 != null) {
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if (!v1.equals(v2)) {
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return false;
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}
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}
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}
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return true;
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}
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protected boolean compareStores(FeatureStore store1, FeatureStore store2)
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throws DataException {
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if (store1.getParameters().getClass() != store2.getParameters()
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.getClass()) {
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return false;
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}
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if (!compareDynObject(store1.getParameters(), store2.getParameters())) {
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return false;
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}
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if (store1.getEnvelope() != store2.getEnvelope()) {
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if (store1.getEnvelope() != null) {
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return store1.getEnvelope().equals(store2.getEnvelope());
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} else {
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return false;
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}
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}
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if (!store1.getName().equals(store2.getName())) {
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return false;
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}
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if (((FeatureSelection) store1.getSelection()).getSize() != ((FeatureSelection) store2
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.getSelection()).getSize()) {
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return false;
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}
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DisposableIterator iter1 = ((FeatureSelection) store1.getSelection())
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.fastIterator();
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DisposableIterator iter2 = ((FeatureSelection) store2.getSelection())
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.fastIterator();
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if (!compareFeatureIterators(iter1, iter2)) {
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return false;
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}
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iter1.dispose();
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iter2.dispose();
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if (store1.getFeatureTypes().size() != store2.getFeatureTypes().size()) {
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return false;
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}
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Iterator iterTypes1 = store1.getFeatureTypes().iterator();
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Iterator iterTypes2 = store2.getFeatureTypes().iterator();
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while (iterTypes1.hasNext()) {
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if (!compareTypes((FeatureType) iterTypes1.next(),
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(FeatureType) iterTypes2
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.next())) {
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return false;
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}
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}
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if (!compareTypes(store1.getDefaultFeatureType(), store2
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.getDefaultFeatureType())) {
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return false;
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}
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if (store1.getLocks() != null) {
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if (store1.getLocks().getLocksCount() != store2.getLocks()
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.getLocksCount()) {
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return false;
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}
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if (!compareFeatureIterators(store1.getLocks().getLocks(), store2
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.getLocks().getLocks())) {
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return false;
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}
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} else if (store2.getLocks() != null) {
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return false;
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}
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return true;
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}
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protected boolean compareFeatureIterators(Iterator iter1, Iterator iter2) {
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Feature feature;
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Feature ffeature;
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while (iter1.hasNext()) {
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feature = (Feature) iter1.next();
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ffeature = (Feature) iter2.next();
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if (!this.compareFeatures(feature, ffeature)) {
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return false;
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}
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}
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if (!iter2.hasNext()) {
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return true;
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} else {
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getLogger().warn("size !=");
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return false;
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}
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}
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protected boolean compareFeatureIterators(Iterator iter1, Iterator iter2,
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String[] attrNames) {
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Feature feature;
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Feature ffeature;
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while (iter1.hasNext()) {
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feature = (Feature) iter1.next();
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ffeature = (Feature) iter2.next();
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if (!this.compareFeatures(feature, ffeature, attrNames)) {
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return false;
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}
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}
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return !iter2.hasNext();
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}
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protected boolean compareTypes(FeatureType ft1, FeatureType ft2) {
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if (ft1.size() != ft2.size()) {
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getLogger().warn("size !=");
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return false;
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}
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if (ft1.getDefaultGeometryAttributeIndex() != ft2
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.getDefaultGeometryAttributeIndex()) {
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getLogger().warn(
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"getDefaultGeometryAttributeIndex "
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+ ft1.getDefaultGeometryAttributeIndex() +
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" !="+ ft2.getDefaultGeometryAttributeIndex());
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return false;
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}
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if (ft1.getDefaultGeometryAttributeIndex() > -1) {
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if (ft1.getDefaultSRS() != null) {
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if (!ft1.getDefaultSRS().equals(ft2.getDefaultSRS())) {
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getLogger().warn("getDefaultSRS !=");
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return false;
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}
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} else {
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if (ft2.getDefaultSRS() != null) {
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getLogger().warn("getDefaultSRS !=");
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return false;
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}
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}
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}
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if (ft1.getDefaultGeometryAttributeName() != null) {
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if (!ft1.getDefaultGeometryAttributeName().equals(
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ft2.getDefaultGeometryAttributeName())) {
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getLogger().warn("getDefaultGeometryAttributeName !=");
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return false;
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}
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} else {
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if (ft2.getDefaultGeometryAttributeName() != null) {
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getLogger().warn("getDefaultGeometryAttributeName !=");
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return false;
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}
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}
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376 |
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377 |
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FeatureAttributeDescriptor attr1, attr2;
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for (int i = 0; i < ft1.size(); i++) {
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attr1 = ft1.getAttributeDescriptor(i);
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attr2 = ft2.getAttributeDescriptor(i);
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382 |
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383 |
if (!compareAttributes(attr1, attr2)) {
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return false;
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385 |
}
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386 |
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387 |
}
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return true;
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389 |
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390 |
}
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391 |
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392 |
protected boolean compareAttributes(FeatureAttributeDescriptor attr1,
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FeatureAttributeDescriptor attr2) {
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394 |
if (attr1 == null || attr2 == null) {
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getLogger().warn("attr1 == null || attr2 == null");
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return false;
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}
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398 |
if (!attr1.getName().equals(attr2.getName())) {
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getLogger().warn(
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"name '" + attr1.getName() + "' != '" + attr2.getName()
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401 |
+ "'");
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return false;
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403 |
}
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404 |
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405 |
if (attr1.getDataType() != attr2.getDataType()) {
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getLogger().warn(
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attr1.getName() + ":" +
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"dataType '" + attr1.getDataTypeName() + "'["
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409 |
+ attr1.getDataType() + "] != '"
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|
410 |
+ attr2.getDataTypeName() + "'["
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411 |
+ attr2.getDataType() + "]");
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412 |
return false;
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413 |
}
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414 |
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415 |
if (attr1.getSize() != attr2.getSize()) {
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416 |
getLogger().warn(
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417 |
attr1.getName() + ":" +
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418 |
"size " + attr1.getSize() + " != " + attr2.getSize());
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419 |
return false;
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420 |
}
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421 |
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422 |
if (attr1.getPrecision() != attr2.getPrecision()) {
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|
423 |
getLogger().warn(
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424 |
attr1.getName() + ":" +
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425 |
"precision " + attr1.getPrecision() + " != "
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426 |
+ attr1.getPrecision());
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427 |
return false;
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428 |
}
|
|
429 |
|
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430 |
if (attr1.getGeometryType() != attr2.getGeometryType()) {
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431 |
getLogger().warn(
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432 |
attr1.getName() + ":" +
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433 |
"GeometryType " + attr1.getGeometryType() + " != "
|
|
434 |
+ attr2.getGeometryType());
|
|
435 |
return false;
|
|
436 |
}
|
|
437 |
|
|
438 |
if (attr1.getGeometrySubType() != attr2.getGeometrySubType()) {
|
|
439 |
getLogger().warn(
|
|
440 |
attr1.getName() + ":" +
|
|
441 |
"GeometrySubType " + attr1.getGeometrySubType() + " != "
|
|
442 |
+ attr2.getGeometrySubType());
|
|
443 |
|
|
444 |
return false;
|
|
445 |
}
|
|
446 |
|
|
447 |
if (attr1.getSRS() != null) {
|
|
448 |
if (!attr1.getSRS().equals(attr2.getSRS())) {
|
|
449 |
getLogger().warn(
|
|
450 |
attr1.getName() + ":" +
|
|
451 |
"srs " + attr1.getSRS() + " != " + attr2.getSRS());
|
|
452 |
return false;
|
|
453 |
}
|
|
454 |
} else {
|
|
455 |
if (attr2.getSRS() != null) {
|
|
456 |
getLogger().warn(
|
|
457 |
attr1.getName() + ":" +
|
|
458 |
"srs " + attr1.getSRS() + " != " + attr2.getSRS());
|
|
459 |
return false;
|
|
460 |
}
|
|
461 |
}
|
|
462 |
|
|
463 |
return true;
|
|
464 |
}
|
|
465 |
|
|
466 |
protected boolean compareFeatures(Feature f1, Feature f2,
|
|
467 |
String[] attrsNames) {
|
|
468 |
FeatureAttributeDescriptor attr1;
|
|
469 |
FeatureAttributeDescriptor attr2;
|
|
470 |
Object v1, v2;
|
|
471 |
for (int i = 0; i < attrsNames.length; i++) {
|
|
472 |
attr1 = f1.getType().getAttributeDescriptor(attrsNames[i]);
|
|
473 |
attr2 = f2.getType().getAttributeDescriptor(attrsNames[i]);
|
|
474 |
if (attr1 != attr2) {
|
|
475 |
if (!compareAttributes(attr1, attr1)) {
|
|
476 |
return false;
|
|
477 |
}
|
|
478 |
}
|
|
479 |
v1 = f1.get(attr1.getName());
|
|
480 |
v2 = f2.get(attr2.getName());
|
|
481 |
if (!compareFeatureValue(v1, v2, attr1)) {
|
|
482 |
return false;
|
|
483 |
}
|
|
484 |
}
|
|
485 |
|
|
486 |
return true;
|
|
487 |
}
|
|
488 |
|
|
489 |
protected boolean compareFeatures(Feature f1, Feature f2) {
|
|
490 |
if (!compareTypes(f1.getType(), f2.getType())) {
|
|
491 |
return false;
|
|
492 |
}
|
|
493 |
Iterator iter = f1.getType().iterator();
|
|
494 |
FeatureAttributeDescriptor attr;
|
|
495 |
Object v1, v2;
|
|
496 |
while (iter.hasNext()) {
|
|
497 |
attr = (FeatureAttributeDescriptor) iter.next();
|
|
498 |
v1 = f1.get(attr.getName());
|
|
499 |
v2 = f2.get(attr.getName());
|
|
500 |
if (!compareFeatureValue(v1, v2, attr)) {
|
|
501 |
return false;
|
|
502 |
}
|
|
503 |
}
|
|
504 |
|
|
505 |
return true;
|
|
506 |
|
|
507 |
}
|
|
508 |
|
|
509 |
protected boolean compareFeatureValue(Object v1, Object v2,
|
|
510 |
FeatureAttributeDescriptor attr) {
|
|
511 |
|
|
512 |
if ((v1 == null || v2 == null) && !attr.allowNull() ){
|
|
513 |
getLogger().warn("null and !allowNull:"
|
|
514 |
+ attr.getName());
|
|
515 |
return false;
|
|
516 |
}
|
|
517 |
|
|
518 |
if (v1 == v2) {
|
|
519 |
return true;
|
|
520 |
} else if (v1 == null) {
|
|
521 |
getLogger().warn(" v1 == null and v2 != null:"
|
|
522 |
+ attr.getName());
|
|
523 |
return false;
|
|
524 |
} else if (v2 == null) {
|
|
525 |
getLogger().warn("v2 == null and v1 != null:"
|
|
526 |
+ attr.getName());
|
|
527 |
return false;
|
|
528 |
|
|
529 |
}
|
|
530 |
switch (attr.getType()) {
|
|
531 |
case DataTypes.GEOMETRY:
|
|
532 |
Geometry geom1 = (Geometry) v1;
|
|
533 |
Geometry geom2 = (Geometry) v2;
|
|
534 |
if (!geom1.equals(geom2)) {
|
|
535 |
getLogger().warn(" v1 != v2 (Geom):" + attr.getName());
|
|
536 |
return false;
|
|
537 |
|
|
538 |
}
|
|
539 |
return true;
|
|
540 |
case DataTypes.DOUBLE:
|
|
541 |
double diff = ((Double) v1).doubleValue()
|
|
542 |
- ((Double) v1).doubleValue();
|
|
543 |
if (!(Math.abs(diff) < 0.000001)) {
|
|
544 |
getLogger().warn(" v1 != v2 (Dobule):" + attr.getName());
|
|
545 |
return false;
|
|
546 |
|
|
547 |
}
|
|
548 |
return true;
|
|
549 |
|
|
550 |
case DataTypes.OBJECT:
|
|
551 |
if (!v1.equals(v2)) {
|
|
552 |
getLogger().warn(
|
|
553 |
" v1 != v2 (object):" + attr.getName() + " [ignored]");
|
|
554 |
return false;
|
|
555 |
}
|
|
556 |
return true;
|
|
557 |
|
|
558 |
default:
|
|
559 |
if (!v1.equals(v2)) {
|
|
560 |
getLogger()
|
|
561 |
.warn(
|
|
562 |
" v1 != v2:" + attr.getName() + ": " + v1
|
|
563 |
+ " != " + v2);
|
|
564 |
return false;
|
|
565 |
}
|
|
566 |
}
|
|
567 |
return true;
|
|
568 |
|
|
569 |
}
|
|
570 |
|
|
571 |
|
|
572 |
//------------------------------------------------
|
|
573 |
|
|
574 |
public void testSimpleIteration(FeatureStore store) {
|
|
575 |
this.testSimpleIteration(store, null);
|
|
576 |
}
|
|
577 |
|
|
578 |
protected String[] getRandomAttibuteList(FeatureType fType) {
|
|
579 |
String[] attrNames = new String[fType.size()];
|
|
580 |
Iterator iter = fType.iterator();
|
|
581 |
int i = 0;
|
|
582 |
while (iter.hasNext()) {
|
|
583 |
attrNames[i] = ((FeatureAttributeDescriptor) iter.next()).getName();
|
|
584 |
i++;
|
|
585 |
}
|
|
586 |
return this.getRandomAttibuteList(attrNames);
|
|
587 |
}
|
|
588 |
|
|
589 |
protected Random getRandom(){
|
|
590 |
if (rnd == null){
|
|
591 |
rnd = new Random();
|
|
592 |
rnd.setSeed(System.currentTimeMillis());
|
|
593 |
}
|
|
594 |
return rnd;
|
|
595 |
}
|
|
596 |
|
|
597 |
protected String[] getRandomAttibuteList(String[] attrNames) {
|
|
598 |
int nAttributes = getRandom().nextInt(
|
|
599 |
attrNames.length + (attrNames.length / 2)) + 1;
|
|
600 |
TreeSet set = new TreeSet();
|
|
601 |
for (int i = 0; i < nAttributes; i++) {
|
|
602 |
set.add(attrNames[getRandom().nextInt(attrNames.length)]);
|
|
603 |
}
|
|
604 |
return (String[]) set.toArray(new String[0]);
|
|
605 |
}
|
|
606 |
|
|
607 |
public void testIterationFastAndStandart(FeatureStore store)
|
|
608 |
throws Exception {
|
|
609 |
this.testIterationFastAndStandart(store, null);
|
|
610 |
|
|
611 |
FeatureQuery query = this.getDefaultQuery(store);
|
|
612 |
// Random Attribute list
|
|
613 |
query.setAttributeNames(getRandomAttibuteList(store
|
|
614 |
.getDefaultFeatureType()));
|
|
615 |
this.testIterationFastAndStandart(store, query);
|
|
616 |
|
|
617 |
// Sorted
|
|
618 |
FeatureAttributeDescriptor attr = getFirstAttributeOfType(store
|
|
619 |
.getDefaultFeatureType(), new int[] { DataTypes.INT,
|
|
620 |
DataTypes.LONG, DataTypes.STRING });
|
|
621 |
{
|
|
622 |
// asure that attr is in query attributes
|
|
623 |
boolean attrFound = false;
|
|
624 |
String[] curAttrs = query.getAttributeNames();
|
|
625 |
for (int i = 0; i < curAttrs.length; i++) {
|
|
626 |
if (curAttrs[i].equals(attr.getName())) {
|
|
627 |
attrFound = true;
|
|
628 |
break;
|
|
629 |
|
|
630 |
}
|
|
631 |
}
|
|
632 |
if (!attrFound) {
|
|
633 |
String[] newAttrs = new String[curAttrs.length + 1];
|
|
634 |
for (int i = 0; i < curAttrs.length; i++) {
|
|
635 |
newAttrs[i] = curAttrs[i];
|
|
636 |
}
|
|
637 |
newAttrs[curAttrs.length] = attr.getName();
|
|
638 |
query.setAttributeNames(newAttrs);
|
|
639 |
}
|
|
640 |
}
|
|
641 |
|
|
642 |
|
|
643 |
query.getOrder().add(attr.getName(), true);
|
|
644 |
this.testIterationFastAndStandart(store, query);
|
|
645 |
|
|
646 |
// Filter
|
|
647 |
query = this.getDefaultQuery(store);
|
|
648 |
|
|
649 |
query.setFilter(new Evaluator(){
|
|
650 |
|
|
651 |
public Object evaluate(EvaluatorData data)
|
|
652 |
throws EvaluatorException {
|
|
653 |
// TODO Auto-generated method stub
|
|
654 |
return Boolean.TRUE;
|
|
655 |
}
|
|
656 |
|
|
657 |
public String getSQL() {
|
|
658 |
return "true = true";
|
|
659 |
}
|
|
660 |
|
|
661 |
public String getDescription() {
|
|
662 |
// TODO Auto-generated method stub
|
|
663 |
return null;
|
|
664 |
}
|
|
665 |
|
|
666 |
public String getName() {
|
|
667 |
return "AlwaysTrue";
|
|
668 |
}
|
|
669 |
|
|
670 |
public EvaluatorFieldsInfo getFieldsInfo() {
|
|
671 |
// TODO Auto-generated method stub
|
|
672 |
return null;
|
|
673 |
}
|
|
674 |
|
|
675 |
});
|
|
676 |
this.testIterationFastAndStandart(store, query);
|
|
677 |
|
|
678 |
// Filter + Sorted
|
|
679 |
query.getOrder().add(attr.getName(), true);
|
|
680 |
this.testIterationFastAndStandart(store, query);
|
|
681 |
}
|
|
682 |
|
|
683 |
public void testSimpleIteration(FeatureStore store, FeatureQuery query) {
|
|
684 |
FeatureSet set;
|
|
685 |
try {
|
|
686 |
|
|
687 |
if (query == null) {
|
|
688 |
query = this.getDefaultQuery(store);
|
|
689 |
}
|
|
690 |
set = store.getFeatureSet(query);
|
|
691 |
FeatureType type = set.getDefaultFeatureType();
|
|
692 |
|
|
693 |
DisposableIterator it = set.iterator();
|
|
694 |
Feature feature;
|
|
695 |
printFeatureTypeColNames(type, 15);
|
|
696 |
while (it.hasNext()) {
|
|
697 |
|
|
698 |
feature = (Feature) it.next();
|
|
699 |
printFeature(feature, false, 15);
|
|
700 |
}
|
|
701 |
|
|
702 |
it.dispose();
|
|
703 |
set.dispose();
|
|
704 |
|
|
705 |
} catch (DataException e3) {
|
|
706 |
e3.printStackTrace();
|
|
707 |
fail();
|
|
708 |
return;
|
|
709 |
}
|
|
710 |
|
|
711 |
}
|
|
712 |
|
|
713 |
public void testIterationFastAndStandart(FeatureStore store,
|
|
714 |
FeatureQuery query) {
|
|
715 |
FeatureSet set;
|
|
716 |
try {
|
|
717 |
|
|
718 |
if (query == null) {
|
|
719 |
query = this.getDefaultQuery(store);
|
|
720 |
}
|
|
721 |
set = store.getFeatureSet(query);
|
|
722 |
|
|
723 |
DisposableIterator it = set.iterator();
|
|
724 |
DisposableIterator fit = set.fastIterator();
|
|
725 |
|
|
726 |
assertTrue(this.compareFeatureIterators(it, fit));
|
|
727 |
|
|
728 |
it.dispose();
|
|
729 |
fit.dispose();
|
|
730 |
set.dispose();
|
|
731 |
|
|
732 |
} catch (DataException e3) {
|
|
733 |
e3.printStackTrace();
|
|
734 |
fail();
|
|
735 |
return;
|
|
736 |
}
|
|
737 |
|
|
738 |
}
|
|
739 |
|
|
740 |
public void testSimpleIteration(DataStoreParameters parameters)
|
|
741 |
throws Exception {
|
|
742 |
FeatureStore store = null;
|
|
743 |
store = (FeatureStore) dataManager.openStore(parameters
|
|
744 |
.getDataStoreName(), parameters);
|
|
745 |
|
|
746 |
this.testSimpleIteration(store);
|
|
747 |
|
|
748 |
store.dispose();
|
|
749 |
|
|
750 |
}
|
|
751 |
|
|
752 |
public void testIterationFastAndStandart(DataStoreParameters parameters)
|
|
753 |
throws Exception {
|
|
754 |
FeatureStore store = null;
|
|
755 |
store = (FeatureStore) dataManager.openStore(parameters
|
|
756 |
.getDataStoreName(), parameters);
|
|
757 |
|
|
758 |
this.testIterationFastAndStandart(store);
|
|
759 |
|
|
760 |
store.dispose();
|
|
761 |
|
|
762 |
}
|
|
763 |
|
|
764 |
/**
|
|
765 |
*
|
|
766 |
* @param count
|
|
767 |
* if (< 0) list.size() >= 1 else list.size() == count
|
|
768 |
* @throws Exception
|
|
769 |
*/
|
|
770 |
public void testExplorerList(int count) throws Exception {
|
|
771 |
FeatureStore store = null;
|
|
772 |
DataStoreParameters params = getDefaultDataStoreParameters();
|
|
773 |
store = (FeatureStore) dataManager.openStore(params.getDataStoreName(),
|
|
774 |
params);
|
|
775 |
|
|
776 |
DataServerExplorer explorer;
|
|
777 |
explorer = store.getExplorer();
|
|
778 |
|
|
779 |
if (count < 0) {
|
|
780 |
assertTrue(explorer.list().size() >= 1);
|
|
781 |
} else {
|
|
782 |
assertTrue(explorer.list().size() == count);
|
|
783 |
}
|
|
784 |
|
|
785 |
store.dispose();
|
|
786 |
|
|
787 |
explorer.dispose();
|
|
788 |
}
|
|
789 |
|
|
790 |
//=================================================
|
|
791 |
//=================================================
|
|
792 |
|
|
793 |
|
|
794 |
|
|
795 |
|
|
796 |
public void testIterationFastAndStandart() throws Exception {
|
|
797 |
this.testIterationFastAndStandart(this.getDefaultDataStoreParameters());
|
|
798 |
}
|
|
799 |
|
|
800 |
public void testSimpleIteration() throws Exception {
|
|
801 |
this.testSimpleIteration(this.getDefaultDataStoreParameters());
|
|
802 |
}
|
|
803 |
|
|
804 |
public void testInitializeStore() throws Exception {
|
|
805 |
DataStoreParameters params = getDefaultDataStoreParameters();
|
|
806 |
FeatureStore store = (FeatureStore) dataManager.openStore(params
|
|
807 |
.getDataStoreName(), params);
|
|
808 |
|
|
809 |
assertNotNull(store.getMetadataID());
|
|
810 |
assertNotNull(store.getName());
|
|
811 |
assertEquals(store.getEnvelope(), store.getDynValue("Envelope"));
|
|
812 |
assertTrue("Feature count not > 0", store.getFeatureCount() > 0);
|
|
813 |
if (store.isLocksSupported()) {
|
|
814 |
assertNotNull(store.getLocks());
|
|
815 |
} else {
|
|
816 |
assertNull(store.getLocks());
|
|
817 |
}
|
|
818 |
store.dispose();
|
|
819 |
}
|
|
820 |
|
|
821 |
|
|
822 |
public void testExplorer() throws Exception {
|
|
823 |
if (!this.hasExplorer()) {
|
|
824 |
return;
|
|
825 |
}
|
|
826 |
this.testExplorerList(-1);
|
|
827 |
|
|
828 |
}
|
|
829 |
|
|
830 |
public void testSelection() throws Exception {
|
|
831 |
DataStoreParameters parameters = this.getDefaultDataStoreParameters();
|
|
832 |
|
|
833 |
FeatureStore store = (FeatureStore) dataManager.openStore(parameters
|
|
834 |
.getDataStoreName(), parameters);
|
|
835 |
FeatureSet set = store.getFeatureSet();
|
|
836 |
|
|
837 |
assertTrue(store.getFeatureSelection().isEmpty());
|
|
838 |
store.setSelection(set);
|
|
839 |
assertFalse(store.getFeatureSelection().isEmpty());
|
|
840 |
|
|
841 |
assertEquals(set.getSize(), store.getFeatureSelection().getSize());
|
|
842 |
|
|
843 |
DisposableIterator iter = set.iterator();
|
|
844 |
while (iter.hasNext()) {
|
|
845 |
assertTrue(store.getFeatureSelection().isSelected(
|
|
846 |
(Feature) iter.next()));
|
|
847 |
}
|
|
848 |
iter.dispose();
|
|
849 |
|
|
850 |
store.getFeatureSelection().reverse();
|
|
851 |
assertTrue(store.getFeatureSelection().isEmpty());
|
|
852 |
assertEquals(0, store.getFeatureSelection().getSize());
|
|
853 |
iter = set.iterator();
|
|
854 |
while (iter.hasNext()) {
|
|
855 |
assertFalse(store.getFeatureSelection().isSelected(
|
|
856 |
(Feature) iter.next()));
|
|
857 |
}
|
|
858 |
iter.dispose();
|
|
859 |
|
|
860 |
store.getFeatureSelection().reverse();
|
|
861 |
assertEquals(set.getSize(), store.getFeatureSelection().getSize());
|
|
862 |
assertFalse(store.getFeatureSelection().isEmpty());
|
|
863 |
|
|
864 |
set.dispose();
|
|
865 |
|
|
866 |
}
|
|
867 |
|
|
868 |
public void testCustomFTypeSet() throws Exception {
|
|
869 |
DataStoreParameters dbfParameters = this
|
|
870 |
.getDefaultDataStoreParameters();
|
|
871 |
|
|
872 |
FeatureStore store = (FeatureStore) dataManager.openStore(dbfParameters
|
|
873 |
.getDataStoreName(), dbfParameters);
|
|
874 |
|
|
875 |
testCustomFTypeSet(store);
|
|
876 |
|
|
877 |
store.dispose();
|
|
878 |
}
|
|
879 |
|
|
880 |
public void testCustomFTypeSet(FeatureStore store) throws Exception{
|
|
881 |
|
|
882 |
FeatureSet set, set1;
|
|
883 |
FeatureQuery query;
|
|
884 |
DisposableIterator iter, iter1;
|
|
885 |
Iterator attrIter;
|
|
886 |
FeatureAttributeDescriptor attr;
|
|
887 |
|
|
888 |
set = store.getFeatureSet(this.getDefaultQuery(store));
|
|
889 |
attrIter = store.getDefaultFeatureType().iterator();
|
|
890 |
|
|
891 |
String[] names;
|
|
892 |
while (attrIter.hasNext()) {
|
|
893 |
attr = (FeatureAttributeDescriptor) attrIter.next();
|
|
894 |
int fieldIndex = attr.getIndex();
|
|
895 |
|
|
896 |
query = this.getDefaultQuery(store);
|
|
897 |
String fieldName = store.getDefaultFeatureType()
|
|
898 |
.getAttributeDescriptor(fieldIndex).getName();
|
|
899 |
|
|
900 |
names = new String[] { fieldName };
|
|
901 |
query.setAttributeNames(names);
|
|
902 |
set1 = store.getFeatureSet(query);
|
|
903 |
|
|
904 |
if (getRandom().nextBoolean()) {
|
|
905 |
iter = set.fastIterator();
|
|
906 |
} else {
|
|
907 |
iter = set.iterator();
|
|
908 |
}
|
|
909 |
if (getRandom().nextBoolean()) {
|
|
910 |
iter1 = set1.fastIterator();
|
|
911 |
} else {
|
|
912 |
iter1 = set1.iterator();
|
|
913 |
}
|
|
914 |
|
|
915 |
assertTrue(compareFeatureIterators(iter, iter1, names));
|
|
916 |
|
|
917 |
iter.dispose();
|
|
918 |
iter1.dispose();
|
|
919 |
set1.dispose();
|
|
920 |
}
|
|
921 |
|
|
922 |
int ntimes = getRandom().nextInt(10) + 5;
|
|
923 |
FeatureType type = store.getDefaultFeatureType();
|
|
924 |
query = this.getDefaultQuery(store);
|
|
925 |
for (int i = 0; i < ntimes; i++) {
|
|
926 |
names = getRandomAttibuteList(type);
|
|
927 |
|
|
928 |
query.setAttributeNames(names);
|
|
929 |
set1 = store.getFeatureSet(query);
|
|
930 |
|
|
931 |
if (getRandom().nextBoolean()) {
|
|
932 |
iter = set.fastIterator();
|
|
933 |
} else {
|
|
934 |
iter = set.iterator();
|
|
935 |
}
|
|
936 |
if (getRandom().nextBoolean()) {
|
|
937 |
iter1 = set1.fastIterator();
|
|
938 |
} else {
|
|
939 |
iter1 = set1.iterator();
|
|
940 |
}
|
|
941 |
|
|
942 |
assertTrue(compareFeatureIterators(iter, iter1, names));
|
|
943 |
|
|
944 |
iter.dispose();
|
|
945 |
iter1.dispose();
|
|
946 |
|
|
947 |
iter1 = set1.fastIterator();
|
|
948 |
assertTrue(checksAttributesPositions(iter1, names));
|
|
949 |
iter1.dispose();
|
|
950 |
|
|
951 |
iter1 = set1.iterator();
|
|
952 |
assertTrue(checksAttributesPositions(iter1, names));
|
|
953 |
iter1.dispose();
|
|
954 |
|
|
955 |
set1.dispose();
|
|
956 |
|
|
957 |
|
|
958 |
}
|
|
959 |
|
|
960 |
|
|
961 |
|
|
962 |
set.dispose();
|
|
963 |
|
|
964 |
}
|
|
965 |
|
|
966 |
protected boolean checksAttributesPositions(DisposableIterator iter,
|
|
967 |
String[] names) {
|
|
968 |
Feature feature;
|
|
969 |
FeatureType type;
|
|
970 |
FeatureAttributeDescriptor attr;
|
|
971 |
while (iter.hasNext()) {
|
|
972 |
feature = (Feature) iter.next();
|
|
973 |
type = feature.getType();
|
|
974 |
for (int i = 0; i < names.length; i++) {
|
|
975 |
attr = type.getAttributeDescriptor(i);
|
|
976 |
if (!names[i].equals(attr.getName())) {
|
|
977 |
getLogger().error(
|
|
978 |
"Error in attribute {} (expected: '{}' have: '{}'",
|
|
979 |
new Object[] { new Integer(i), names[i],
|
|
980 |
attr.getName() });
|
|
981 |
return false;
|
|
982 |
}
|
|
983 |
}
|
|
984 |
}
|
|
985 |
return true;
|
|
986 |
}
|
|
987 |
|
|
988 |
public void testPersistence() throws Exception {
|
|
989 |
if (ToolsLocator.getPersistenceManager() == null) {
|
|
990 |
fail("Default Persistence Manager not register");
|
|
991 |
}
|
|
992 |
DataStoreParameters params = this.getDefaultDataStoreParameters();
|
|
993 |
|
|
994 |
FeatureStore store = (FeatureStore) dataManager.openStore(params
|
|
995 |
.getDataStoreName(), params);
|
|
996 |
|
|
997 |
testSimpleIteration(store);
|
|
998 |
|
|
999 |
PersistentState state = ToolsLocator.getPersistenceManager().getState(
|
|
1000 |
store);
|
|
1001 |
|
|
1002 |
FeatureStore store2 = (FeatureStore) ToolsLocator
|
|
1003 |
.getPersistenceManager().create(state);
|
|
1004 |
|
|
1005 |
testSimpleIteration(store2);
|
|
1006 |
|
|
1007 |
assertTrue(compareStores(store, store2));
|
|
1008 |
|
|
1009 |
store.dispose();
|
|
1010 |
store2.dispose();
|
|
1011 |
|
|
1012 |
}
|
|
1013 |
|
|
1014 |
|
|
1015 |
public void testSort() throws Exception {
|
|
1016 |
DataStoreParameters dbfParameters = this
|
|
1017 |
.getDefaultDataStoreParameters();
|
|
1018 |
|
|
1019 |
FeatureStore store = (FeatureStore) dataManager.openStore(dbfParameters
|
|
1020 |
.getDataStoreName(), dbfParameters);
|
|
1021 |
|
|
1022 |
testSort(store);
|
|
1023 |
|
|
1024 |
store.dispose();
|
|
1025 |
|
|
1026 |
}
|
|
1027 |
|
|
1028 |
public void testSort(FeatureStore store) throws Exception{
|
|
1029 |
FeatureSet set1;
|
|
1030 |
FeatureQuery query;
|
|
1031 |
DisposableIterator iter1;
|
|
1032 |
Iterator attrIter;
|
|
1033 |
FeatureAttributeDescriptor attr;
|
|
1034 |
|
|
1035 |
attrIter = store.getDefaultFeatureType().iterator();
|
|
1036 |
|
|
1037 |
String[] names;
|
|
1038 |
while (attrIter.hasNext()) {
|
|
1039 |
attr = (FeatureAttributeDescriptor) attrIter.next();
|
|
1040 |
|
|
1041 |
if (attr.getType() == DataTypes.GEOMETRY) {
|
|
1042 |
continue;
|
|
1043 |
}
|
|
1044 |
query = this.getDefaultQuery(store);
|
|
1045 |
String fieldName = attr.getName();
|
|
1046 |
|
|
1047 |
|
|
1048 |
|
|
1049 |
names = new String[] { fieldName };
|
|
1050 |
query.setAttributeNames(names);
|
|
1051 |
query.getOrder().add(fieldName, getRandom().nextBoolean());
|
|
1052 |
|
|
1053 |
set1 = store.getFeatureSet(query);
|
|
1054 |
if (getRandom().nextBoolean()) {
|
|
1055 |
iter1 = set1.fastIterator();
|
|
1056 |
} else {
|
|
1057 |
iter1 = set1.iterator();
|
|
1058 |
}
|
|
1059 |
|
|
1060 |
assertTrue(checkSort(iter1, query));
|
|
1061 |
|
|
1062 |
iter1.dispose();
|
|
1063 |
set1.dispose();
|
|
1064 |
}
|
|
1065 |
|
|
1066 |
int ntimes = getRandom().nextInt(10) + 5;
|
|
1067 |
FeatureType type = store.getDefaultFeatureType();
|
|
1068 |
query = this.getDefaultQuery(store);
|
|
1069 |
for (int i = 0; i < ntimes; i++) {
|
|
1070 |
names = getRandomAttibuteList(type);
|
|
1071 |
|
|
1072 |
int nShortFields = getRandom().nextInt(names.length) + 1;
|
|
1073 |
query.getOrder().clear();
|
|
1074 |
for (int j = 0; j < nShortFields; j++) {
|
|
1075 |
attr = store.getDefaultFeatureType().getAttributeDescriptor(names[getRandom().nextInt(names.length)]);
|
|
1076 |
if (attr.getType() == DataTypes.INT
|
|
1077 |
|| attr.getType() == DataTypes.LONG
|
|
1078 |
|| attr.getType() == DataTypes.DOUBLE
|
|
1079 |
|| attr.getType() == DataTypes.STRING
|
|
1080 |
|| attr.getType() == DataTypes.DATE
|
|
1081 |
|| attr.getType() == DataTypes.BOOLEAN
|
|
1082 |
|| attr.getType() == DataTypes.BYTE
|
|
1083 |
|| attr.getType() == DataTypes.FLOAT) {
|
|
1084 |
|
|
1085 |
query.getOrder().add(attr.getName(),
|
|
1086 |
getRandom().nextBoolean());
|
|
1087 |
}
|
|
1088 |
}
|
|
1089 |
|
|
1090 |
query.setAttributeNames(names);
|
|
1091 |
set1 = store.getFeatureSet(query);
|
|
1092 |
|
|
1093 |
// if (getRandom().nextBoolean()) {
|
|
1094 |
iter1 = set1.fastIterator();
|
|
1095 |
// } else {
|
|
1096 |
// iter1 = set1.iterator();
|
|
1097 |
// }
|
|
1098 |
|
|
1099 |
assertTrue(checkSort(iter1, query));
|
|
1100 |
|
|
1101 |
iter1.dispose();
|
|
1102 |
set1.dispose();
|
|
1103 |
|
|
1104 |
}
|
|
1105 |
|
|
1106 |
}
|
|
1107 |
|
|
1108 |
|
|
1109 |
public boolean checkSort(Iterator iter, FeatureQuery query) {
|
|
1110 |
|
|
1111 |
FeatureQueryOrderMember order;
|
|
1112 |
Feature prevFeature = null;
|
|
1113 |
Feature currFeature = null;
|
|
1114 |
boolean isFirst = true;
|
|
1115 |
Comparable v1, v2;
|
|
1116 |
Object o1, o2;
|
|
1117 |
int v;
|
|
1118 |
FeatureQueryOrder queryOrder = query.getOrder();
|
|
1119 |
|
|
1120 |
Iterator orderIter;
|
|
1121 |
|
|
1122 |
//for debug only
|
|
1123 |
/*
|
|
1124 |
System.out.println("\nCheck order:");
|
|
1125 |
Iterator orderIter = queryOrder.iterator();
|
|
1126 |
while (orderIter.hasNext()) {
|
|
1127 |
order = (FeatureQueryOrderMember) orderIter.next();
|
|
1128 |
System.out.print(order.getAttributeName() + " ");
|
|
1129 |
if (order.getAscending()) {
|
|
1130 |
System.out.print("Asc, ");
|
|
1131 |
} else {
|
|
1132 |
System.out.print("Desc, ");
|
|
1133 |
}
|
|
1134 |
}
|
|
1135 |
System.out.println(";");
|
|
1136 |
*/
|
|
1137 |
|
|
1138 |
while (iter.hasNext()) {
|
|
1139 |
currFeature = (Feature) iter.next();
|
|
1140 |
if (isFirst) {
|
|
1141 |
prevFeature = currFeature.getCopy();
|
|
1142 |
// printFeature(prevFeature, true, 15);
|
|
1143 |
isFirst = false;
|
|
1144 |
continue;
|
|
1145 |
}
|
|
1146 |
// printFeature(currFeature, false, 15);
|
|
1147 |
orderIter = queryOrder.iterator();
|
|
1148 |
while (orderIter.hasNext()) {
|
|
1149 |
order = (FeatureQueryOrderMember) orderIter.next();
|
|
1150 |
if (order.hasEvaluator()) {
|
|
1151 |
try {
|
|
1152 |
o1 = order.getEvaluator().evaluate(
|
|
1153 |
(EvaluatorData) prevFeature);
|
|
1154 |
o2 = order.getEvaluator().evaluate(
|
|
1155 |
(EvaluatorData) currFeature);
|
|
1156 |
} catch (EvaluatorException e) {
|
|
1157 |
throw new DataEvaluatorRuntimeException(e);
|
|
1158 |
}
|
|
1159 |
} else {
|
|
1160 |
|
|
1161 |
o1 = prevFeature.get(order.getAttributeName());
|
|
1162 |
o2 = currFeature.get(order.getAttributeName());
|
|
1163 |
}
|
|
1164 |
if (o1 instanceof Comparable && o2 instanceof Comparable) {
|
|
1165 |
v1 = (Comparable) o1;
|
|
1166 |
v2 = (Comparable) o2;
|
|
1167 |
} else {
|
|
1168 |
// uncomparable objets
|
|
1169 |
break;
|
|
1170 |
}
|
|
1171 |
if (v1 == null) {
|
|
1172 |
if (v2 == null) {
|
|
1173 |
break;
|
|
1174 |
} else {
|
|
1175 |
v = 1;
|
|
1176 |
}
|
|
1177 |
} else {
|
|
1178 |
v = v1.compareTo(v2);
|
|
1179 |
}
|
|
1180 |
if (v != 0) {
|
|
1181 |
if (!order.getAscending()) {
|
|
1182 |
v = -v;
|
|
1183 |
}
|
|
1184 |
}
|
|
1185 |
if (v < 0) {
|
|
1186 |
break;
|
|
1187 |
} else if (v > 0) {
|
|
1188 |
// Checks for ignore case short
|
|
1189 |
if (v1 instanceof String && v2 instanceof String) {
|
|
1190 |
v1 = ((String)v1).toLowerCase();
|
|
1191 |
v2 = ((String)v2).toLowerCase();
|
|
1192 |
v = v1.compareTo(v2);
|
|
1193 |
if (v != 0) {
|
|
1194 |
if (!order.getAscending()) {
|
|
1195 |
v = -v;
|
|
1196 |
}
|
|
1197 |
}
|
|
1198 |
if (v < 0) {
|
|
1199 |
getLogger()
|
|
1200 |
.warn("Short compartor String ok with ignore case");
|
|
1201 |
break;
|
|
1202 |
} else if (v > 0) {
|
|
1203 |
return false;
|
|
1204 |
}
|
|
1205 |
} else {
|
|
1206 |
return false;
|
|
1207 |
}
|
|
1208 |
}
|
|
1209 |
}
|
|
1210 |
prevFeature = currFeature.getCopy();
|
|
1211 |
}
|
|
1212 |
|
|
1213 |
return true;
|
|
1214 |
}
|
|
1215 |
|
|
1216 |
protected void fullStoreIteratorTest(FeatureStore store) throws Exception{
|
|
1217 |
testIterationFastAndStandart(store);
|
|
1218 |
testCustomFTypeSet(store);
|
|
1219 |
testSort(store);
|
|
1220 |
}
|
|
1221 |
|
|
1222 |
|
|
1223 |
public void testTransformsData() throws Exception {
|
|
1224 |
DataStoreParameters dbfParameters = this
|
|
1225 |
.getDefaultDataStoreParameters();
|
|
1226 |
|
|
1227 |
FeatureStore store = (FeatureStore) dataManager.openStore(dbfParameters
|
|
1228 |
.getDataStoreName(), dbfParameters);
|
|
1229 |
|
|
1230 |
FeatureStore store1 = (FeatureStore) dataManager.openStore(
|
|
1231 |
dbfParameters.getDataStoreName(), dbfParameters);
|
|
1232 |
|
|
1233 |
FeatureStoreTransform transform = new StringsToLowerTransform();
|
|
1234 |
transform.setFeatureStore(store);
|
|
1235 |
|
|
1236 |
store.getTransforms().add(transform);
|
|
1237 |
|
|
1238 |
FeatureSet set, set1;
|
|
1239 |
DisposableIterator iter, iter1;
|
|
1240 |
Iterator iterAttr;
|
|
1241 |
FeatureAttributeDescriptor attr;
|
|
1242 |
Feature feature, feature1;
|
|
1243 |
int i, ntimes;
|
|
1244 |
Object v1, v2;
|
|
1245 |
|
|
1246 |
|
|
1247 |
fullStoreIteratorTest(store);
|
|
1248 |
|
|
1249 |
set = store.getFeatureSet();
|
|
1250 |
set1 = store1.getFeatureSet();
|
|
1251 |
ntimes = getRandom().nextInt(3) + 1;
|
|
1252 |
for (i = 0; i < ntimes; i++) {
|
|
1253 |
if (getRandom().nextBoolean()) {
|
|
1254 |
iter = set.fastIterator();
|
|
1255 |
} else {
|
|
1256 |
iter = set.iterator();
|
|
1257 |
}
|
|
1258 |
if (getRandom().nextBoolean()) {
|
|
1259 |
iter1 = set1.fastIterator();
|
|
1260 |
} else {
|
|
1261 |
iter1 = set1.iterator();
|
|
1262 |
}
|
|
1263 |
while (iter.hasNext()) {
|
|
1264 |
feature = (Feature) iter.next();
|
|
1265 |
feature1 = (Feature) iter1.next();
|
|
1266 |
|
|
1267 |
iterAttr = set.getDefaultFeatureType().iterator();
|
|
1268 |
while (iterAttr.hasNext()) {
|
|
1269 |
attr = (FeatureAttributeDescriptor) iterAttr.next();
|
|
1270 |
v1 = feature.get(attr.getIndex());
|
|
1271 |
v2 = feature1.get(attr.getIndex());
|
|
1272 |
if (attr.getType() == DataTypes.STRING) {
|
|
1273 |
if (v2 != null) {
|
|
1274 |
v2 = ((String) v2).toLowerCase();
|
|
1275 |
}
|
|
1276 |
|
|
1277 |
}
|
|
1278 |
assertTrue(compareFeatureValue(v1, v2, attr));
|
|
1279 |
}
|
|
1280 |
}
|
|
1281 |
assertFalse(iter1.hasNext());
|
|
1282 |
iter.dispose();
|
|
1283 |
iter1.dispose();
|
|
1284 |
}
|
|
1285 |
|
|
1286 |
|
|
1287 |
set.dispose();
|
|
1288 |
set1.dispose();
|
|
1289 |
|
|
1290 |
|
|
1291 |
transform = new StringsToUpperTransform();
|
|
1292 |
transform.setFeatureStore(store);
|
|
1293 |
|
|
1294 |
store.getTransforms().add(transform);
|
|
1295 |
|
|
1296 |
fullStoreIteratorTest(store);
|
|
1297 |
|
|
1298 |
set = store.getFeatureSet();
|
|
1299 |
set1 = store1.getFeatureSet();
|
|
1300 |
ntimes = getRandom().nextInt(3) + 1;
|
|
1301 |
for (i = 0; i < ntimes; i++) {
|
|
1302 |
if (getRandom().nextBoolean()) {
|
|
1303 |
iter = set.fastIterator();
|
|
1304 |
} else {
|
|
1305 |
iter = set.iterator();
|
|
1306 |
}
|
|
1307 |
if (getRandom().nextBoolean()) {
|
|
1308 |
iter1 = set1.fastIterator();
|
|
1309 |
} else {
|
|
1310 |
iter1 = set1.iterator();
|
|
1311 |
}
|
|
1312 |
while (iter.hasNext()) {
|
|
1313 |
feature = (Feature) iter.next();
|
|
1314 |
feature1 = (Feature) iter1.next();
|
|
1315 |
|
|
1316 |
iterAttr = set.getDefaultFeatureType().iterator();
|
|
1317 |
while (iterAttr.hasNext()) {
|
|
1318 |
attr = (FeatureAttributeDescriptor) iterAttr.next();
|
|
1319 |
v1 = feature.get(attr.getIndex());
|
|
1320 |
v2 = feature1.get(attr.getIndex());
|
|
1321 |
if (attr.getType() == DataTypes.STRING) {
|
|
1322 |
if (v2 != null) {
|
|
1323 |
v2 = ((String) v2).toUpperCase();
|
|
1324 |
}
|
|
1325 |
|
|
1326 |
}
|
|
1327 |
compareFeatureValue(v1, v2, attr);
|
|
1328 |
}
|
|
1329 |
}
|
|
1330 |
assertFalse(iter1.hasNext());
|
|
1331 |
iter.dispose();
|
|
1332 |
iter1.dispose();
|
|
1333 |
}
|
|
1334 |
set.dispose();
|
|
1335 |
set1.dispose();
|
|
1336 |
|
|
1337 |
|
|
1338 |
transform = new AddPrefixAttributeName("_");
|
|
1339 |
transform.setFeatureStore(store);
|
|
1340 |
|
|
1341 |
store.getTransforms().add(transform);
|
|
1342 |
|
|
1343 |
fullStoreIteratorTest(store);
|
|
1344 |
|
|
1345 |
set = store.getFeatureSet();
|
|
1346 |
set1 = store1.getFeatureSet();
|
|
1347 |
ntimes = getRandom().nextInt(3) + 1;
|
|
1348 |
for (i = 0; i < ntimes; i++) {
|
|
1349 |
if (getRandom().nextBoolean()) {
|
|
1350 |
iter = set.fastIterator();
|
|
1351 |
} else {
|
|
1352 |
iter = set.iterator();
|
|
1353 |
}
|
|
1354 |
if (getRandom().nextBoolean()) {
|
|
1355 |
iter1 = set1.fastIterator();
|
|
1356 |
} else {
|
|
1357 |
iter1 = set1.iterator();
|
|
1358 |
}
|
|
1359 |
while (iter.hasNext()) {
|
|
1360 |
feature = (Feature) iter.next();
|
|
1361 |
feature1 = (Feature) iter1.next();
|
|
1362 |
|
|
1363 |
iterAttr = set1.getDefaultFeatureType().iterator();
|
|
1364 |
while (iterAttr.hasNext()) {
|
|
1365 |
attr = (FeatureAttributeDescriptor) iterAttr.next();
|
|
1366 |
v1 = feature.get("_" + attr.getName());
|
|
1367 |
v2 = feature1.get(attr.getIndex());
|
|
1368 |
if (attr.getType() == DataTypes.STRING) {
|
|
1369 |
if (v2 != null) {
|
|
1370 |
v2 = ((String) v2).toUpperCase();
|
|
1371 |
}
|
|
1372 |
|
|
1373 |
}
|
|
1374 |
compareFeatureValue(v1, v2, attr);
|
|
1375 |
}
|
|
1376 |
}
|
|
1377 |
assertFalse(iter1.hasNext());
|
|
1378 |
iter.dispose();
|
|
1379 |
iter1.dispose();
|
|
1380 |
}
|
|
1381 |
set.dispose();
|
|
1382 |
set1.dispose();
|
|
1383 |
|
|
1384 |
transform = new AddAttribute("__new__", DataTypes.STRING, "$$OK$$", 10);
|
|
1385 |
transform.setFeatureStore(store);
|
|
1386 |
|
|
1387 |
store.getTransforms().add(transform);
|
|
1388 |
|
|
1389 |
fullStoreIteratorTest(store);
|
|
1390 |
|
|
1391 |
set = store.getFeatureSet();
|
|
1392 |
set1 = store1.getFeatureSet();
|
|
1393 |
ntimes = getRandom().nextInt(3) + 1;
|
|
1394 |
for (i = 0; i < ntimes; i++) {
|
|
1395 |
if (getRandom().nextBoolean()) {
|
|
1396 |
iter = set.fastIterator();
|
|
1397 |
} else {
|
|
1398 |
iter = set.iterator();
|
|
1399 |
}
|
|
1400 |
if (getRandom().nextBoolean()) {
|
|
1401 |
iter1 = set1.fastIterator();
|
|
1402 |
} else {
|
|
1403 |
iter1 = set1.iterator();
|
|
1404 |
}
|
|
1405 |
while (iter.hasNext()) {
|
|
1406 |
feature = (Feature) iter.next();
|
|
1407 |
feature1 = (Feature) iter1.next();
|
|
1408 |
|
|
1409 |
iterAttr = set1.getDefaultFeatureType().iterator();
|
|
1410 |
while (iterAttr.hasNext()) {
|
|
1411 |
attr = (FeatureAttributeDescriptor) iterAttr.next();
|
|
1412 |
v1 = feature.get("_" + attr.getName());
|
|
1413 |
v2 = feature1.get(attr.getIndex());
|
|
1414 |
if (attr.getType() == DataTypes.STRING) {
|
|
1415 |
if (v2 != null) {
|
|
1416 |
v2 = ((String) v2).toUpperCase();
|
|
1417 |
}
|
|
1418 |
|
|
1419 |
}
|
|
1420 |
compareFeatureValue(v1, v2, attr);
|
|
1421 |
}
|
|
1422 |
compareFeatureValue(feature.get("__new__"), "$$OK$$", set1
|
|
1423 |
.getDefaultFeatureType().getAttributeDescriptor(
|
|
1424 |
"__new__"));
|
|
1425 |
}
|
|
1426 |
assertFalse(iter1.hasNext());
|
|
1427 |
iter.dispose();
|
|
1428 |
iter1.dispose();
|
|
1429 |
}
|
|
1430 |
set.dispose();
|
|
1431 |
set1.dispose();
|
|
1432 |
|
|
1433 |
|
|
1434 |
transform = new RemoveAttribute("__new__");
|
|
1435 |
transform.setFeatureStore(store);
|
|
1436 |
|
|
1437 |
store.getTransforms().add(transform);
|
|
1438 |
|
|
1439 |
fullStoreIteratorTest(store);
|
|
1440 |
|
|
1441 |
set = store.getFeatureSet();
|
|
1442 |
set1 = store1.getFeatureSet();
|
|
1443 |
ntimes = getRandom().nextInt(3) + 1;
|
|
1444 |
for (i = 0; i < ntimes; i++) {
|
|
1445 |
if (getRandom().nextBoolean()) {
|
|
1446 |
iter = set.fastIterator();
|
|
1447 |
} else {
|
|
1448 |
iter = set.iterator();
|
|
1449 |
}
|
|
1450 |
if (getRandom().nextBoolean()) {
|
|
1451 |
iter1 = set1.fastIterator();
|
|
1452 |
} else {
|
|
1453 |
iter1 = set1.iterator();
|
|
1454 |
}
|
|
1455 |
while (iter.hasNext()) {
|
|
1456 |
feature = (Feature) iter.next();
|
|
1457 |
feature1 = (Feature) iter1.next();
|
|
1458 |
|
|
1459 |
iterAttr = set1.getDefaultFeatureType().iterator();
|
|
1460 |
while (iterAttr.hasNext()) {
|
|
1461 |
attr = (FeatureAttributeDescriptor) iterAttr.next();
|
|
1462 |
v1 = feature.get("_" + attr.getName());
|
|
1463 |
v2 = feature1.get(attr.getIndex());
|
|
1464 |
if (attr.getType() == DataTypes.STRING) {
|
|
1465 |
if (v2 != null) {
|
|
1466 |
v2 = ((String) v2).toUpperCase();
|
|
1467 |
}
|
|
1468 |
|
|
1469 |
}
|