svn-gvsig-desktop / trunk / org.gvsig.desktop / org.gvsig.desktop.compat.cdc / org.gvsig.fmap.dal / org.gvsig.fmap.dal.db / org.gvsig.fmap.dal.db.jdbc / src / test / java / org / gvsig / fmap / dal / store / jdbc2 / AbstractTestDistinctOnUngrouped.java @ 46542
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package org.gvsig.fmap.dal.store.jdbc2; |
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import java.util.ArrayList; |
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import java.util.List; |
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import junit.framework.TestCase; |
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import static junit.framework.TestCase.assertEquals; |
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import org.gvsig.expressionevaluator.ExpressionUtils; |
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import org.gvsig.fmap.dal.DataTypes; |
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import org.gvsig.fmap.dal.feature.EditableFeatureAttributeDescriptor; |
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import org.gvsig.fmap.dal.feature.EditableFeatureType; |
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import org.gvsig.fmap.dal.feature.Feature; |
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import org.gvsig.fmap.dal.feature.FeatureAttributeDescriptor; |
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import org.gvsig.fmap.dal.feature.FeatureQuery; |
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import org.gvsig.fmap.dal.feature.FeatureStore; |
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import org.gvsig.fmap.dal.feature.FeatureType; |
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import org.gvsig.fmap.dal.impl.expressionevaluator.DefaultFeatureAttributeEmulatorExpression; |
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import org.gvsig.fmap.dal.store.jdbc2.OperationsFactory.TableReference; |
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import org.gvsig.fmap.dal.store.jdbc2.spi.JDBCSQLBuilderBase; |
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import org.gvsig.fmap.dal.swing.DALSwingLocator; |
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import org.gvsig.fmap.dal.swing.DataSwingManager; |
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import org.gvsig.fmap.dal.swing.impl.searchPostProcess.distinctOn.AggregateOperation.AggregateOperationFactory; |
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import org.gvsig.fmap.dal.swing.impl.searchPostProcess.distinctOn.DistinctOn; |
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import org.gvsig.fmap.dal.swing.impl.searchPostProcess.distinctOn.FirstAggregateOperation.FirstAggregateOperationFactory; |
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import org.gvsig.fmap.dal.swing.impl.searchPostProcess.distinctOn.LastAggregateOperation.LastAggregateOperationFactory; |
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import org.gvsig.fmap.dal.swing.impl.searchPostProcess.distinctOn.MaxAggregateOperation.MaxAggregateOperationFactory; |
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import org.gvsig.fmap.dal.swing.impl.searchPostProcess.distinctOn.MinAggregateOperation.MinAggregateOperationFactory; |
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import org.gvsig.fmap.dal.swing.impl.searchPostProcess.distinctOn.SumAggregateOperation.SumAggregateOperationFactory; |
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import org.gvsig.fmap.dal.swing.searchPostProcess.SearchPostProcess; |
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import org.gvsig.fmap.dal.swing.searchPostProcess.SearchPostProcessFactory; |
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import org.gvsig.fmap.dal.swing.searchpanel.SearchParameters; |
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import org.gvsig.tools.dispose.DisposeUtils; |
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import org.gvsig.tools.dynobject.DynObject; |
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import org.gvsig.tools.dynobject.DynObjectValueItem; |
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import org.gvsig.tools.library.impl.DefaultLibrariesInitializer; |
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import org.slf4j.Logger; |
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import org.slf4j.LoggerFactory; |
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|
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public abstract class AbstractTestDistinctOnUngrouped extends TestCase { |
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protected static final Logger LOGGER = LoggerFactory.getLogger(AbstractTestDistinctOnUngrouped.class); |
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protected AbstractTestUtils utils;
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public AbstractTestDistinctOnUngrouped(String testName) { |
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super(testName);
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} |
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@Override
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protected void setUp() throws Exception { |
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super.setUp();
|
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new DefaultLibrariesInitializer().fullInitialize();
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} |
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|
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@Override
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protected void tearDown() throws Exception { |
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super.tearDown();
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} |
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|
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public AbstractTestUtils utils() {
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if (this.utils == null) { |
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this.utils = this.createUtils(); |
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} |
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return this.utils; |
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} |
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protected abstract AbstractTestUtils createUtils(); |
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|
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// TODO add test methods here. The name must begin with 'test'. For example:
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// public void testHello() {}
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protected void testAggregatesFirst() throws Exception { |
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try {
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if (!utils().isTheDatabaseAvailable()) {
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return;
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} |
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String tableName = "testAggregatesFirst"; //Change for each test |
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String testName = "testAggregatesFirst"; //Change for each test |
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AggregateOperationFactory aggregateFunction = DistinctOn.getAggregatesOperationFactory( |
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FirstAggregateOperationFactory.NAME //Change for each test
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); |
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|
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FeatureStore sourceStore = utils().openCSVStore("/org/gvsig/fmap/dal/store/jdbc2/testCreateSource3.csv");
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JDBCServerExplorer explorer = utils().openServerExplorer(testName); |
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utils().initWorkspace(testName); |
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|
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utils().info_jdbc(explorer); |
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utils().drop_tables(explorer, tableName); |
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utils().create_table_from(explorer, tableName, sourceStore); |
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utils().insert_into_from(explorer, tableName, sourceStore, FeatureStore.MODE_APPEND); |
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|
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JDBCHelper helper = utils().createJDBCHelper(); |
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JDBCSQLBuilderBase sqlbuilder = helper.createSQLBuilder(); |
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OperationsFactory operations = helper.getOperations(); |
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|
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TableReference table = operations.createTableReference( |
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testName, |
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sqlbuilder.default_schema(), |
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tableName, |
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null
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); |
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|
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FeatureStore dbstore = utils().openStore(explorer, tableName); |
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dbstore.edit(); |
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FeatureType featureType = dbstore.getDefaultFeatureType(); |
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EditableFeatureType eFeatureType = featureType.getEditable(); |
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EditableFeatureAttributeDescriptor compu1 = eFeatureType.add("Compu1",
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DataTypes.INTEGER, |
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new DefaultFeatureAttributeEmulatorExpression(
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eFeatureType, |
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ExpressionUtils.createExpression("ID*2")
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)); |
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EditableFeatureAttributeDescriptor compu2 = eFeatureType.add("Compu2",
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DataTypes.INTEGER, |
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new DefaultFeatureAttributeEmulatorExpression(
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eFeatureType, |
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ExpressionUtils.createExpression("10000*Long+Compu1")
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)); |
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eFeatureType.getAttributeDescriptor("Byte").setAvailableValues(new DynObjectValueItem[]{ |
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new DynObjectValueItem(null), |
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new DynObjectValueItem(10), |
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new DynObjectValueItem(20), |
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new DynObjectValueItem(30), |
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new DynObjectValueItem(40), |
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new DynObjectValueItem(50), |
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new DynObjectValueItem(60), |
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new DynObjectValueItem(70), |
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new DynObjectValueItem(80), |
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new DynObjectValueItem(90) |
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}); |
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dbstore.update(eFeatureType); |
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dbstore.finishEditing(); |
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FeatureQuery query = dbstore.createFeatureQuery(); |
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EditableFeatureAttributeDescriptor extraColumn1 = query.getExtraColumn().add("Extra1", DataTypes.INTEGER);
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extraColumn1.setFeatureAttributeEmulator(new DefaultFeatureAttributeEmulatorExpression(featureType, ExpressionUtils.createExpression("Long+10"))); |
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EditableFeatureAttributeDescriptor extraColumn2 = query.getExtraColumn().add("Extra2", DataTypes.INTEGER);
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extraColumn2.setFeatureAttributeEmulator(new DefaultFeatureAttributeEmulatorExpression(featureType, ExpressionUtils.createExpression("20+Byte"))); |
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DataSwingManager manager = DALSwingLocator.getDataSwingManager(); |
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SearchParameters searchParams = manager.createFeatureStoreSearchPanel(dbstore).fetch(null);
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SearchPostProcessFactory distinctOnFactory = manager.getSearchPostProcess("DistinctOn");
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DynObject distinctOnParams = distinctOnFactory.createProcessParameters(dbstore, query, searchParams); |
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distinctOnParams.setDynValue("field", "ID"); |
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distinctOnParams.setDynValue("ID", getAggregateFunction(eFeatureType, query, "ID", aggregateFunction)); |
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distinctOnParams.setDynValue("Byte", getAggregateFunction(eFeatureType, query, "Byte", aggregateFunction)); |
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distinctOnParams.setDynValue("Bool1", getAggregateFunction(eFeatureType, query, "Bool1", aggregateFunction)); |
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distinctOnParams.setDynValue("Long", getAggregateFunction(eFeatureType, query, "Long", aggregateFunction)); |
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distinctOnParams.setDynValue("Timestamp", getAggregateFunction(eFeatureType, query, "Timestamp", aggregateFunction)); |
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distinctOnParams.setDynValue("Date", getAggregateFunction(eFeatureType, query, "Date", aggregateFunction)); |
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distinctOnParams.setDynValue("Bool2", getAggregateFunction(eFeatureType, query, "Bool2", aggregateFunction)); |
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distinctOnParams.setDynValue("String", getAggregateFunction(eFeatureType, query, "String", aggregateFunction)); |
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distinctOnParams.setDynValue("Bool3", getAggregateFunction(eFeatureType, query, "Bool3", aggregateFunction)); |
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distinctOnParams.setDynValue("Double", getAggregateFunction(eFeatureType, query, "Double", aggregateFunction)); |
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distinctOnParams.setDynValue("Bool4", getAggregateFunction(eFeatureType, query, "Bool4", aggregateFunction)); |
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distinctOnParams.setDynValue("Float", getAggregateFunction(eFeatureType, query, "Float", aggregateFunction)); |
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distinctOnParams.setDynValue("Decimal", getAggregateFunction(eFeatureType, query, "Decimal", aggregateFunction)); |
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distinctOnParams.setDynValue("Geometry", getAggregateFunction(eFeatureType, query, "Geometry", aggregateFunction)); |
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distinctOnParams.setDynValue("Compu1", getAggregateFunction(eFeatureType, query, "Compu1", aggregateFunction)); |
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distinctOnParams.setDynValue("Compu2", getAggregateFunction(eFeatureType, query, "Compu2", aggregateFunction)); |
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distinctOnParams.setDynValue("Extra1", getAggregateFunction(eFeatureType, query, "Extra1", aggregateFunction)); |
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distinctOnParams.setDynValue("Extra2", getAggregateFunction(eFeatureType, query, "Extra2", aggregateFunction)); |
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SearchPostProcess distinctOn = distinctOnFactory.createProcess(distinctOnFactory, dbstore, query, distinctOnParams); |
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SearchPostProcess.SearchPostProcessResult result = distinctOn.execute(dbstore, query, distinctOnParams, null);
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FeatureStore resultStore = result.getStore(); |
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List<Feature> features0 = resultStore.getFeatures(query);
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ArrayList<Feature> features = new ArrayList<>(); |
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ArrayList<String[]> expected_values = new ArrayList<>(); |
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expected_values.add(new String[]{"0","","","","","","","","","","","","","true","","","0","","",""}); |
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expected_values.add(new String[]{"1","10","true"," 1000","12/29/2019 12:13:14 PM","12/29/2019","12:13:14 PM","true","Yo yo1","false","12345,543","true","123,210","true","456,123","POINT (-3.8945156972987958 42.01053743584765)","2","10000002","1010","30"}); |
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expected_values.add(new String[]{"2","20","true"," 2000","11/29/2019 12:13:14 PM","11/29/2019","1:13:14 PM","true","Yo yo2","false","12100,543","true","100,210","true","456,123","POINT (-2.1079618220646115 41.983079082675474)","4","20000004","2010","40"}); |
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expected_values.add(new String[]{"3","30","true"," 3000","10/29/2019 12:13:14 PM","10/29/2019","2:13:14 PM","true","Yo yo3","false","12101,543","true","101,210","true","456,123","POINT (-2.57249737803327 41.35372113353277)","6","30000006","3010","50"}); |
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expected_values.add(new String[]{"4","40","true"," 4000","09/29/2019 12:13:14 PM","09/29/2019","3:13:14 PM","true","Yo yo4","false","12102,543","true","102,210","true","456,123","POINT (-4.061822048036304 41.35877680235475)","8","40000008","4010","60"}); |
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expected_values.add(new String[]{"5","50","true"," 5000","08/29/2019 12:13:14 PM","08/29/2019","4:13:14 PM","true","Yo yo5","false","12103,543","true","103,210","true","456,123","POINT (-3.974317066986988 40.78701209315094)","10","50000010","5010","70"}); |
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expected_values.add(new String[]{"6","60","true"," 6000","07/29/2019 12:13:14 PM","07/29/2019","5:13:14 PM","true","Yo yo6","false","12104,543","true","104,210","true","456,123","POINT (-2.510509736717547 40.69847453392384)","12","60000012","6010","80"}); |
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expected_values.add(new String[]{"7","70","true"," 7000","06/29/2019 12:13:14 PM","06/29/2019","6:13:14 PM","true","Yo yo7","false","12105,543","true","105,210","true","456,123","POINT (-0.5317736981843011 40.66396082637622)","14","70000014","7010","90"}); |
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expected_values.add(new String[]{"8","80","true"," 8000","05/29/2019 12:13:14 PM","05/29/2019","7:13:14 PM","true","Yo yo8","false","12106,543","true","106,210","true","456,123","POINT (-0.3626917259170671 41.13652386601604)","16","80000016","8010","100"}); |
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expected_values.add(new String[]{"9","90","true"," 9000","04/29/2019 12:13:14 PM","04/29/2019","8:13:14 PM","true","Yo yo9","false","12107,543","true","107,210","true","456,123","POINT (-1.2461823078608523 41.84950010180092)","18","90000018","9010","110"}); |
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for (int i = 0; i < features0.size(); i++) { |
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Feature feature = features0.get(i); |
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if( i==0 ) { |
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System.out.println("Expected values:"); |
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for (Object[] expected_line : expected_values) { |
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for (Object cell : expected_line) { |
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System.out.print(cell);
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System.out.print(", "); |
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} |
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System.out.println();
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} |
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System.out.println("ID,Byte,Bool1,Long,Timestamp,Date,Time,Bool2,String,Bool3,Double,Bool4,Float,Bool5,Decimal,Geometry,Compu1,Compu2,Extra1,Extra2"); |
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} |
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features.add(feature.getCopy()); |
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} |
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System.out.println("ID,Byte,Bool1,Long,Timestamp,Date,Time,Bool2,String,Bool3,Double,Bool4,Float,Bool5,Decimal,Geometry,Compu1,Compu2,Extra1,Extra2"); |
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features0 = null;
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String[] header = new String[]{"ID","Byte","Bool1","Long","Timestamp","Date","Time","Bool2","String","Bool3","Double","Bool4","Float","Bool5","Decimal","Geometry","Compu1","Compu2","Extra1","Extra2"}; |
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for (int i = 0; i < features.size(); i++) { |
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for (int j = 0; j < header.length; j++) { |
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assertEquals("feature[" + i + "][" + header[j] + "]:", expected_values.get(i)[j], features.get(i).format(header[j])); |
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} |
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} |
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FeatureType resultType = resultStore.getDefaultFeatureType(); |
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FeatureAttributeDescriptor attr = resultType.getAttributeDescriptor("ID");
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assertEquals(DataTypes.INTEGER, attr.getType()); |
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attr = resultType.getAttributeDescriptor("Byte");
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assertEquals(DataTypes.BYTE, attr.getType()); |
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assertNotNull(attr.getAvailableValues()); |
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assertEquals("%2d", attr.getDefaultFormat());
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attr = resultType.getAttributeDescriptor("Long");
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assertEquals(DataTypes.LONG, attr.getType()); |
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assertEquals("%6d", attr.getDefaultFormat());
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attr = resultType.getAttributeDescriptor("Double");
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assertEquals(DataTypes.DOUBLE, attr.getType()); |
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assertEquals("%6.3f", attr.getDefaultFormat());
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attr = resultType.getAttributeDescriptor("Float");
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assertEquals(DataTypes.FLOAT, attr.getType()); |
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assertEquals("%6.3f", attr.getDefaultFormat());
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attr = resultType.getAttributeDescriptor("Decimal");
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assertEquals(DataTypes.DECIMAL, attr.getType()); |
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assertEquals("%6.3f", attr.getDefaultFormat());
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DisposeUtils.dispose(dbstore); |
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} catch (Throwable th) { |
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LOGGER.warn("", th);
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th.printStackTrace(); |
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throw th;
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} |
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} |
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protected void testAggregatesLast() throws Exception { |
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try {
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if (!utils().isTheDatabaseAvailable()) {
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return;
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} |
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String tableName = "testAggregatesLast"; //Change for each test |
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String testName = "testAggregatesLast"; //Change for each test |
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AggregateOperationFactory aggregateFunction = DistinctOn.getAggregatesOperationFactory( |
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LastAggregateOperationFactory.NAME //Change for each test
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); |
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FeatureStore sourceStore = utils().openCSVStore("/org/gvsig/fmap/dal/store/jdbc2/testCreateSource3.csv");
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JDBCServerExplorer explorer = utils().openServerExplorer(testName); |
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utils().initWorkspace(testName); |
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utils().info_jdbc(explorer); |
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|
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utils().drop_tables(explorer, tableName); |
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utils().create_table_from(explorer, tableName, sourceStore); |
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utils().insert_into_from(explorer, tableName, sourceStore, FeatureStore.MODE_APPEND); |
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JDBCHelper helper = utils().createJDBCHelper(); |
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JDBCSQLBuilderBase sqlbuilder = helper.createSQLBuilder(); |
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OperationsFactory operations = helper.getOperations(); |
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|
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TableReference table = operations.createTableReference( |
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testName, |
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sqlbuilder.default_schema(), |
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tableName, |
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null
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); |
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|
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FeatureStore dbstore = utils().openStore(explorer, tableName); |
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dbstore.edit(); |
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FeatureType featureType = dbstore.getDefaultFeatureType(); |
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EditableFeatureType eFeatureType = featureType.getEditable(); |
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EditableFeatureAttributeDescriptor compu1 = eFeatureType.add("Compu1",
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DataTypes.INTEGER, |
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new DefaultFeatureAttributeEmulatorExpression(
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eFeatureType, |
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ExpressionUtils.createExpression("ID*2")
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)); |
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EditableFeatureAttributeDescriptor compu2 = eFeatureType.add("Compu2",
|
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DataTypes.INTEGER, |
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new DefaultFeatureAttributeEmulatorExpression(
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eFeatureType, |
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ExpressionUtils.createExpression("10000*Long+Compu1")
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)); |
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|
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eFeatureType.getAttributeDescriptor("Byte").setAvailableValues(new DynObjectValueItem[]{ |
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new DynObjectValueItem(null), |
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new DynObjectValueItem(10), |
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new DynObjectValueItem(20), |
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new DynObjectValueItem(30), |
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new DynObjectValueItem(40), |
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new DynObjectValueItem(50), |
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new DynObjectValueItem(60), |
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new DynObjectValueItem(70), |
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new DynObjectValueItem(80), |
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new DynObjectValueItem(90) |
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}); |
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dbstore.update(eFeatureType); |
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dbstore.finishEditing(); |
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|
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FeatureQuery query = dbstore.createFeatureQuery(); |
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|
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EditableFeatureAttributeDescriptor extraColumn1 = query.getExtraColumn().add("Extra1", DataTypes.INTEGER);
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extraColumn1.setFeatureAttributeEmulator(new DefaultFeatureAttributeEmulatorExpression(featureType, ExpressionUtils.createExpression("Long+10"))); |
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EditableFeatureAttributeDescriptor extraColumn2 = query.getExtraColumn().add("Extra2", DataTypes.INTEGER);
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extraColumn2.setFeatureAttributeEmulator(new DefaultFeatureAttributeEmulatorExpression(featureType, ExpressionUtils.createExpression("20+Byte"))); |
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|
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DataSwingManager manager = DALSwingLocator.getDataSwingManager(); |
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SearchParameters searchParams = manager.createFeatureStoreSearchPanel(dbstore).fetch(null);
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|
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SearchPostProcessFactory distinctOnFactory = manager.getSearchPostProcess("DistinctOn");
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DynObject distinctOnParams = distinctOnFactory.createProcessParameters(dbstore, query, searchParams); |
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|
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distinctOnParams.setDynValue("field", "ID"); |
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|
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distinctOnParams.setDynValue("ID", getAggregateFunction(eFeatureType, query, "ID", aggregateFunction)); |
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distinctOnParams.setDynValue("Byte", getAggregateFunction(eFeatureType, query, "Byte", aggregateFunction)); |
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distinctOnParams.setDynValue("Bool1", getAggregateFunction(eFeatureType, query, "Bool1", aggregateFunction)); |
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distinctOnParams.setDynValue("Long", getAggregateFunction(eFeatureType, query, "Long", aggregateFunction)); |
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distinctOnParams.setDynValue("Timestamp", getAggregateFunction(eFeatureType, query, "Timestamp", aggregateFunction)); |
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distinctOnParams.setDynValue("Date", getAggregateFunction(eFeatureType, query, "Date", aggregateFunction)); |
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distinctOnParams.setDynValue("Bool2", getAggregateFunction(eFeatureType, query, "Bool2", aggregateFunction)); |
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distinctOnParams.setDynValue("String", getAggregateFunction(eFeatureType, query, "String", aggregateFunction)); |
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distinctOnParams.setDynValue("Bool3", getAggregateFunction(eFeatureType, query, "Bool3", aggregateFunction)); |
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distinctOnParams.setDynValue("Double", getAggregateFunction(eFeatureType, query, "Double", aggregateFunction)); |
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distinctOnParams.setDynValue("Bool4", getAggregateFunction(eFeatureType, query, "Bool4", aggregateFunction)); |
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distinctOnParams.setDynValue("Float", getAggregateFunction(eFeatureType, query, "Float", aggregateFunction)); |
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distinctOnParams.setDynValue("Decimal", getAggregateFunction(eFeatureType, query, "Decimal", aggregateFunction)); |
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distinctOnParams.setDynValue("Geometry", getAggregateFunction(eFeatureType, query, "Geometry", aggregateFunction)); |
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distinctOnParams.setDynValue("Compu1", getAggregateFunction(eFeatureType, query, "Compu1", aggregateFunction)); |
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distinctOnParams.setDynValue("Compu2", getAggregateFunction(eFeatureType, query, "Compu2", aggregateFunction)); |
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distinctOnParams.setDynValue("Extra1", getAggregateFunction(eFeatureType, query, "Extra1", aggregateFunction)); |
| 343 |
distinctOnParams.setDynValue("Extra2", getAggregateFunction(eFeatureType, query, "Extra2", aggregateFunction)); |
| 344 |
|
| 345 |
SearchPostProcess distinctOn = distinctOnFactory.createProcess(distinctOnFactory, dbstore, query, distinctOnParams); |
| 346 |
SearchPostProcess.SearchPostProcessResult result = distinctOn.execute(dbstore, query, distinctOnParams, null);
|
| 347 |
|
| 348 |
FeatureStore resultStore = result.getStore(); |
| 349 |
|
| 350 |
List<Feature> features0 = resultStore.getFeatures(query);
|
| 351 |
ArrayList<Feature> features = new ArrayList<>(); |
| 352 |
|
| 353 |
ArrayList<String[]> expected_values = new ArrayList<>(); |
| 354 |
expected_values.add(new String[]{"0","","","","","","","","","","","","","true","","","0","","",""}); |
| 355 |
expected_values.add(new String[]{"1","10","true"," 1000","12/29/2019 12:13:14 PM","12/29/2019","12:13:14 PM","true","Yo yo1","false","12345,543","true","123,210","true","456,123","POINT (-3.8945156972987958 42.01053743584765)","2","10000002","1010","30"}); |
| 356 |
expected_values.add(new String[]{"2","20","true"," 2000","11/29/2019 12:13:14 PM","11/29/2019","1:13:14 PM","true","Yo yo2","false","12100,543","true","100,210","true","456,123","POINT (-2.1079618220646115 41.983079082675474)","4","20000004","2010","40"}); |
| 357 |
expected_values.add(new String[]{"3","30","true"," 3000","10/29/2019 12:13:14 PM","10/29/2019","2:13:14 PM","true","Yo yo3","false","12101,543","true","101,210","true","456,123","POINT (-2.57249737803327 41.35372113353277)","6","30000006","3010","50"}); |
| 358 |
expected_values.add(new String[]{"4","40","true"," 4000","09/29/2019 12:13:14 PM","09/29/2019","3:13:14 PM","true","Yo yo4","false","12102,543","true","102,210","true","456,123","POINT (-4.061822048036304 41.35877680235475)","8","40000008","4010","60"}); |
| 359 |
expected_values.add(new String[]{"5","50","true"," 5000","08/29/2019 12:13:14 PM","08/29/2019","4:13:14 PM","true","Yo yo5","false","12103,543","true","103,210","true","456,123","POINT (-3.974317066986988 40.78701209315094)","10","50000010","5010","70"}); |
| 360 |
expected_values.add(new String[]{"6","60","true"," 6000","07/29/2019 12:13:14 PM","07/29/2019","5:13:14 PM","true","Yo yo6","false","12104,543","true","104,210","true","456,123","POINT (-2.510509736717547 40.69847453392384)","12","60000012","6010","80"}); |
| 361 |
expected_values.add(new String[]{"7","70","true"," 7000","06/29/2019 12:13:14 PM","06/29/2019","6:13:14 PM","true","Yo yo7","false","12105,543","true","105,210","true","456,123","POINT (-0.5317736981843011 40.66396082637622)","14","70000014","7010","90"}); |
| 362 |
expected_values.add(new String[]{"8","80","true"," 8000","05/29/2019 12:13:14 PM","05/29/2019","7:13:14 PM","true","Yo yo8","false","12106,543","true","106,210","true","456,123","POINT (-0.3626917259170671 41.13652386601604)","16","80000016","8010","100"}); |
| 363 |
expected_values.add(new String[]{"9","90","true"," 9000","04/29/2019 12:13:14 PM","04/29/2019","8:13:14 PM","true","Yo yo9","false","12107,543","true","107,210","true","456,123","POINT (-1.2461823078608523 41.84950010180092)","18","90000018","9010","110"}); |
| 364 |
|
| 365 |
for (int i = 0; i < features0.size(); i++) { |
| 366 |
Feature feature = features0.get(i); |
| 367 |
if( i==0 ) { |
| 368 |
System.out.println("Expected values:"); |
| 369 |
for (Object[] expected_line : expected_values) { |
| 370 |
for (Object cell : expected_line) { |
| 371 |
System.out.print(cell);
|
| 372 |
System.out.print(", "); |
| 373 |
} |
| 374 |
System.out.println();
|
| 375 |
} |
| 376 |
System.out.println("ID,Byte,Bool1,Long,Timestamp,Date,Time,Bool2,String,Bool3,Double,Bool4,Float,Bool5,Decimal,Geometry,Compu1,Compu2,Extra1,Extra2"); |
| 377 |
} |
| 378 |
features.add(feature.getCopy()); |
| 379 |
} |
| 380 |
System.out.println("ID,Byte,Bool1,Long,Timestamp,Date,Time,Bool2,String,Bool3,Double,Bool4,Float,Bool5,Decimal,Geometry,Compu1,Compu2,Extra1,Extra2"); |
| 381 |
|
| 382 |
features0 = null;
|
| 383 |
String[] header = new String[]{"ID","Byte","Bool1","Long","Timestamp","Date","Time","Bool2","String","Bool3","Double","Bool4","Float","Bool5","Decimal","Geometry","Compu1","Compu2","Extra1","Extra2"}; |
| 384 |
for (int i = 0; i < features.size(); i++) { |
| 385 |
for (int j = 0; j < header.length; j++) { |
| 386 |
assertEquals("feature[" + i + "][" + header[j] + "]:", expected_values.get(i)[j], features.get(i).format(header[j])); |
| 387 |
} |
| 388 |
} |
| 389 |
|
| 390 |
|
| 391 |
FeatureType resultType = resultStore.getDefaultFeatureType(); |
| 392 |
FeatureAttributeDescriptor attr = resultType.getAttributeDescriptor("ID");
|
| 393 |
assertEquals(DataTypes.INTEGER, attr.getType()); |
| 394 |
|
| 395 |
attr = resultType.getAttributeDescriptor("Byte");
|
| 396 |
assertEquals(DataTypes.BYTE, attr.getType()); |
| 397 |
assertNotNull(attr.getAvailableValues()); |
| 398 |
assertEquals("%2d", attr.getDefaultFormat());
|
| 399 |
|
| 400 |
attr = resultType.getAttributeDescriptor("Long");
|
| 401 |
assertEquals(DataTypes.LONG, attr.getType()); |
| 402 |
assertEquals("%6d", attr.getDefaultFormat());
|
| 403 |
|
| 404 |
attr = resultType.getAttributeDescriptor("Double");
|
| 405 |
assertEquals(DataTypes.DOUBLE, attr.getType()); |
| 406 |
assertEquals("%6.3f", attr.getDefaultFormat());
|
| 407 |
|
| 408 |
attr = resultType.getAttributeDescriptor("Float");
|
| 409 |
assertEquals(DataTypes.FLOAT, attr.getType()); |
| 410 |
assertEquals("%6.3f", attr.getDefaultFormat());
|
| 411 |
|
| 412 |
attr = resultType.getAttributeDescriptor("Decimal");
|
| 413 |
assertEquals(DataTypes.DECIMAL, attr.getType()); |
| 414 |
assertEquals("%6.3f", attr.getDefaultFormat());
|
| 415 |
|
| 416 |
DisposeUtils.dispose(dbstore); |
| 417 |
} catch (Throwable th) { |
| 418 |
LOGGER.warn("", th);
|
| 419 |
th.printStackTrace(); |
| 420 |
throw th;
|
| 421 |
} |
| 422 |
} |
| 423 |
|
| 424 |
protected void testAggregatesMin() throws Exception { |
| 425 |
try {
|
| 426 |
if (!utils().isTheDatabaseAvailable()) {
|
| 427 |
return;
|
| 428 |
} |
| 429 |
String tableName = "testAggregatesMin"; //Change for each test |
| 430 |
String testName = "testAggregatesMin"; //Change for each test |
| 431 |
AggregateOperationFactory aggregateFunction = DistinctOn.getAggregatesOperationFactory( |
| 432 |
MinAggregateOperationFactory.NAME //Change for each test
|
| 433 |
); |
| 434 |
|
| 435 |
FeatureStore sourceStore = utils().openCSVStore("/org/gvsig/fmap/dal/store/jdbc2/testCreateSource3.csv");
|
| 436 |
JDBCServerExplorer explorer = utils().openServerExplorer(testName); |
| 437 |
utils().initWorkspace(testName); |
| 438 |
|
| 439 |
utils().info_jdbc(explorer); |
| 440 |
|
| 441 |
utils().drop_tables(explorer, tableName); |
| 442 |
utils().create_table_from(explorer, tableName, sourceStore); |
| 443 |
utils().insert_into_from(explorer, tableName, sourceStore, FeatureStore.MODE_APPEND); |
| 444 |
|
| 445 |
JDBCHelper helper = utils().createJDBCHelper(); |
| 446 |
JDBCSQLBuilderBase sqlbuilder = helper.createSQLBuilder(); |
| 447 |
OperationsFactory operations = helper.getOperations(); |
| 448 |
|
| 449 |
TableReference table = operations.createTableReference( |
| 450 |
testName, |
| 451 |
sqlbuilder.default_schema(), |
| 452 |
tableName, |
| 453 |
null
|
| 454 |
); |
| 455 |
|
| 456 |
FeatureStore dbstore = utils().openStore(explorer, tableName); |
| 457 |
dbstore.edit(); |
| 458 |
FeatureType featureType = dbstore.getDefaultFeatureType(); |
| 459 |
EditableFeatureType eFeatureType = featureType.getEditable(); |
| 460 |
EditableFeatureAttributeDescriptor compu1 = eFeatureType.add("Compu1",
|
| 461 |
DataTypes.INTEGER, |
| 462 |
new DefaultFeatureAttributeEmulatorExpression(
|
| 463 |
eFeatureType, |
| 464 |
ExpressionUtils.createExpression("ID*2")
|
| 465 |
)); |
| 466 |
EditableFeatureAttributeDescriptor compu2 = eFeatureType.add("Compu2",
|
| 467 |
DataTypes.INTEGER, |
| 468 |
new DefaultFeatureAttributeEmulatorExpression(
|
| 469 |
eFeatureType, |
| 470 |
ExpressionUtils.createExpression("10000*Long+Compu1")
|
| 471 |
)); |
| 472 |
|
| 473 |
eFeatureType.getAttributeDescriptor("Byte").setAvailableValues(new DynObjectValueItem[]{ |
| 474 |
new DynObjectValueItem(null), |
| 475 |
new DynObjectValueItem(10), |
| 476 |
new DynObjectValueItem(20), |
| 477 |
new DynObjectValueItem(30), |
| 478 |
new DynObjectValueItem(40), |
| 479 |
new DynObjectValueItem(50), |
| 480 |
new DynObjectValueItem(60), |
| 481 |
new DynObjectValueItem(70), |
| 482 |
new DynObjectValueItem(80), |
| 483 |
new DynObjectValueItem(90) |
| 484 |
}); |
| 485 |
dbstore.update(eFeatureType); |
| 486 |
dbstore.finishEditing(); |
| 487 |
|
| 488 |
FeatureQuery query = dbstore.createFeatureQuery(); |
| 489 |
|
| 490 |
EditableFeatureAttributeDescriptor extraColumn1 = query.getExtraColumn().add("Extra1", DataTypes.INTEGER);
|
| 491 |
extraColumn1.setFeatureAttributeEmulator(new DefaultFeatureAttributeEmulatorExpression(featureType, ExpressionUtils.createExpression("Long+10"))); |
| 492 |
EditableFeatureAttributeDescriptor extraColumn2 = query.getExtraColumn().add("Extra2", DataTypes.INTEGER);
|
| 493 |
extraColumn2.setFeatureAttributeEmulator(new DefaultFeatureAttributeEmulatorExpression(featureType, ExpressionUtils.createExpression("20+Byte"))); |
| 494 |
|
| 495 |
DataSwingManager manager = DALSwingLocator.getDataSwingManager(); |
| 496 |
SearchParameters searchParams = manager.createFeatureStoreSearchPanel(dbstore).fetch(null);
|
| 497 |
|
| 498 |
SearchPostProcessFactory distinctOnFactory = manager.getSearchPostProcess("DistinctOn");
|
| 499 |
DynObject distinctOnParams = distinctOnFactory.createProcessParameters(dbstore, query, searchParams); |
| 500 |
|
| 501 |
distinctOnParams.setDynValue("field", "ID"); |
| 502 |
|
| 503 |
distinctOnParams.setDynValue("ID", getAggregateFunction(eFeatureType, query, "ID", aggregateFunction)); |
| 504 |
distinctOnParams.setDynValue("Byte", getAggregateFunction(eFeatureType, query, "Byte", aggregateFunction)); |
| 505 |
distinctOnParams.setDynValue("Bool1", getAggregateFunction(eFeatureType, query, "Bool1", aggregateFunction)); |
| 506 |
distinctOnParams.setDynValue("Long", getAggregateFunction(eFeatureType, query, "Long", aggregateFunction)); |
| 507 |
distinctOnParams.setDynValue("Timestamp", getAggregateFunction(eFeatureType, query, "Timestamp", aggregateFunction)); |
| 508 |
distinctOnParams.setDynValue("Date", getAggregateFunction(eFeatureType, query, "Date", aggregateFunction)); |
| 509 |
distinctOnParams.setDynValue("Bool2", getAggregateFunction(eFeatureType, query, "Bool2", aggregateFunction)); |
| 510 |
distinctOnParams.setDynValue("String", getAggregateFunction(eFeatureType, query, "String", aggregateFunction)); |
| 511 |
distinctOnParams.setDynValue("Bool3", getAggregateFunction(eFeatureType, query, "Bool3", aggregateFunction)); |
| 512 |
distinctOnParams.setDynValue("Double", getAggregateFunction(eFeatureType, query, "Double", aggregateFunction)); |
| 513 |
distinctOnParams.setDynValue("Bool4", getAggregateFunction(eFeatureType, query, "Bool4", aggregateFunction)); |
| 514 |
distinctOnParams.setDynValue("Float", getAggregateFunction(eFeatureType, query, "Float", aggregateFunction)); |
| 515 |
distinctOnParams.setDynValue("Decimal", getAggregateFunction(eFeatureType, query, "Decimal", aggregateFunction)); |
| 516 |
distinctOnParams.setDynValue("Geometry", getAggregateFunction(eFeatureType, query, "Geometry", aggregateFunction)); |
| 517 |
distinctOnParams.setDynValue("Compu1", getAggregateFunction(eFeatureType, query, "Compu1", aggregateFunction)); |
| 518 |
distinctOnParams.setDynValue("Compu2", getAggregateFunction(eFeatureType, query, "Compu2", aggregateFunction)); |
| 519 |
distinctOnParams.setDynValue("Extra1", getAggregateFunction(eFeatureType, query, "Extra1", aggregateFunction)); |
| 520 |
distinctOnParams.setDynValue("Extra2", getAggregateFunction(eFeatureType, query, "Extra2", aggregateFunction)); |
| 521 |
|
| 522 |
SearchPostProcess distinctOn = distinctOnFactory.createProcess(distinctOnFactory, dbstore, query, distinctOnParams); |
| 523 |
SearchPostProcess.SearchPostProcessResult result = distinctOn.execute(dbstore, query, distinctOnParams, null);
|
| 524 |
|
| 525 |
FeatureStore resultStore = result.getStore(); |
| 526 |
|
| 527 |
List<Feature> features0 = resultStore.getFeatures(query);
|
| 528 |
ArrayList<Feature> features = new ArrayList<>(); |
| 529 |
|
| 530 |
ArrayList<String[]> expected_values = new ArrayList<>(); |
| 531 |
expected_values.add(new String[]{"0","","","","","","","","","","","","","true","","","0","","",""}); |
| 532 |
expected_values.add(new String[]{"1","10","true"," 1000","12/29/2019 12:13:14 PM","12/29/2019","12:13:14 PM","true","Yo yo1","false","12345,543","true","123,210","true","456,123","POINT (-3.8945156972987958 42.01053743584765)","2","10000002","1010","30"}); |
| 533 |
expected_values.add(new String[]{"2","20","true"," 2000","11/29/2019 12:13:14 PM","11/29/2019","1:13:14 PM","true","Yo yo2","false","12100,543","true","100,210","true","456,123","POINT (-2.1079618220646115 41.983079082675474)","4","20000004","2010","40"}); |
| 534 |
expected_values.add(new String[]{"3","30","true"," 3000","10/29/2019 12:13:14 PM","10/29/2019","2:13:14 PM","true","Yo yo3","false","12101,543","true","101,210","true","456,123","POINT (-2.57249737803327 41.35372113353277)","6","30000006","3010","50"}); |
| 535 |
expected_values.add(new String[]{"4","40","true"," 4000","09/29/2019 12:13:14 PM","09/29/2019","3:13:14 PM","true","Yo yo4","false","12102,543","true","102,210","true","456,123","POINT (-4.061822048036304 41.35877680235475)","8","40000008","4010","60"}); |
| 536 |
expected_values.add(new String[]{"5","50","true"," 5000","08/29/2019 12:13:14 PM","08/29/2019","4:13:14 PM","true","Yo yo5","false","12103,543","true","103,210","true","456,123","POINT (-3.974317066986988 40.78701209315094)","10","50000010","5010","70"}); |
| 537 |
expected_values.add(new String[]{"6","60","true"," 6000","07/29/2019 12:13:14 PM","07/29/2019","5:13:14 PM","true","Yo yo6","false","12104,543","true","104,210","true","456,123","POINT (-2.510509736717547 40.69847453392384)","12","60000012","6010","80"}); |
| 538 |
expected_values.add(new String[]{"7","70","true"," 7000","06/29/2019 12:13:14 PM","06/29/2019","6:13:14 PM","true","Yo yo7","false","12105,543","true","105,210","true","456,123","POINT (-0.5317736981843011 40.66396082637622)","14","70000014","7010","90"}); |
| 539 |
expected_values.add(new String[]{"8","80","true"," 8000","05/29/2019 12:13:14 PM","05/29/2019","7:13:14 PM","true","Yo yo8","false","12106,543","true","106,210","true","456,123","POINT (-0.3626917259170671 41.13652386601604)","16","80000016","8010","100"}); |
| 540 |
expected_values.add(new String[]{"9","90","true"," 9000","04/29/2019 12:13:14 PM","04/29/2019","8:13:14 PM","true","Yo yo9","false","12107,543","true","107,210","true","456,123","POINT (-1.2461823078608523 41.84950010180092)","18","90000018","9010","110"}); |
| 541 |
|
| 542 |
for (int i = 0; i < features0.size(); i++) { |
| 543 |
Feature feature = features0.get(i); |
| 544 |
if( i==0 ) { |
| 545 |
System.out.println("Expected values:"); |
| 546 |
for (Object[] expected_line : expected_values) { |
| 547 |
for (Object cell : expected_line) { |
| 548 |
System.out.print(cell);
|
| 549 |
System.out.print(", "); |
| 550 |
} |
| 551 |
System.out.println();
|
| 552 |
} |
| 553 |
System.out.println("ID,Byte,Bool1,Long,Timestamp,Date,Time,Bool2,String,Bool3,Double,Bool4,Float,Bool5,Decimal,Geometry,Compu1,Compu2,Extra1,Extra2"); |
| 554 |
} |
| 555 |
features.add(feature.getCopy()); |
| 556 |
} |
| 557 |
System.out.println("ID,Byte,Bool1,Long,Timestamp,Date,Time,Bool2,String,Bool3,Double,Bool4,Float,Bool5,Decimal,Geometry,Compu1,Compu2,Extra1,Extra2"); |
| 558 |
|
| 559 |
features0 = null;
|
| 560 |
String[] header = new String[]{"ID","Byte","Bool1","Long","Timestamp","Date","Time","Bool2","String","Bool3","Double","Bool4","Float","Bool5","Decimal","Geometry","Compu1","Compu2","Extra1","Extra2"}; |
| 561 |
for (int i = 0; i < features.size(); i++) { |
| 562 |
for (int j = 0; j < header.length; j++) { |
| 563 |
assertEquals("feature[" + i + "][" + header[j] + "]:", expected_values.get(i)[j], features.get(i).format(header[j])); |
| 564 |
} |
| 565 |
} |
| 566 |
|
| 567 |
|
| 568 |
FeatureType resultType = resultStore.getDefaultFeatureType(); |
| 569 |
FeatureAttributeDescriptor attr = resultType.getAttributeDescriptor("ID");
|
| 570 |
assertEquals(DataTypes.INTEGER, attr.getType()); |
| 571 |
|
| 572 |
attr = resultType.getAttributeDescriptor("Byte");
|
| 573 |
assertEquals(DataTypes.BYTE, attr.getType()); |
| 574 |
assertNotNull(attr.getAvailableValues()); |
| 575 |
assertEquals("%2d", attr.getDefaultFormat());
|
| 576 |
|
| 577 |
attr = resultType.getAttributeDescriptor("Long");
|
| 578 |
assertEquals(DataTypes.LONG, attr.getType()); |
| 579 |
assertEquals("%6d", attr.getDefaultFormat());
|
| 580 |
|
| 581 |
attr = resultType.getAttributeDescriptor("Double");
|
| 582 |
assertEquals(DataTypes.DOUBLE, attr.getType()); |
| 583 |
assertEquals("%6.3f", attr.getDefaultFormat());
|
| 584 |
|
| 585 |
attr = resultType.getAttributeDescriptor("Float");
|
| 586 |
assertEquals(DataTypes.FLOAT, attr.getType()); |
| 587 |
assertEquals("%6.3f", attr.getDefaultFormat());
|
| 588 |
|
| 589 |
attr = resultType.getAttributeDescriptor("Decimal");
|
| 590 |
assertEquals(DataTypes.DECIMAL, attr.getType()); |
| 591 |
assertEquals("%6.3f", attr.getDefaultFormat());
|
| 592 |
|
| 593 |
DisposeUtils.dispose(dbstore); |
| 594 |
} catch (Throwable th) { |
| 595 |
LOGGER.warn("", th);
|
| 596 |
th.printStackTrace(); |
| 597 |
throw th;
|
| 598 |
} |
| 599 |
} |
| 600 |
|
| 601 |
protected void testAggregatesMax() throws Exception { |
| 602 |
try {
|
| 603 |
if (!utils().isTheDatabaseAvailable()) {
|
| 604 |
return;
|
| 605 |
} |
| 606 |
String tableName = "testAggregatesMax"; //Change for each test |
| 607 |
String testName = "testAggregatesMax"; //Change for each test |
| 608 |
AggregateOperationFactory aggregateFunction = DistinctOn.getAggregatesOperationFactory( |
| 609 |
MaxAggregateOperationFactory.NAME //Change for each test
|
| 610 |
); |
| 611 |
|
| 612 |
FeatureStore sourceStore = utils().openCSVStore("/org/gvsig/fmap/dal/store/jdbc2/testCreateSource3.csv");
|
| 613 |
JDBCServerExplorer explorer = utils().openServerExplorer(testName); |
| 614 |
utils().initWorkspace(testName); |
| 615 |
|
| 616 |
utils().info_jdbc(explorer); |
| 617 |
|
| 618 |
utils().drop_tables(explorer, tableName); |
| 619 |
utils().create_table_from(explorer, tableName, sourceStore); |
| 620 |
utils().insert_into_from(explorer, tableName, sourceStore, FeatureStore.MODE_APPEND); |
| 621 |
|
| 622 |
JDBCHelper helper = utils().createJDBCHelper(); |
| 623 |
JDBCSQLBuilderBase sqlbuilder = helper.createSQLBuilder(); |
| 624 |
OperationsFactory operations = helper.getOperations(); |
| 625 |
|
| 626 |
TableReference table = operations.createTableReference( |
| 627 |
testName, |
| 628 |
sqlbuilder.default_schema(), |
| 629 |
tableName, |
| 630 |
null
|
| 631 |
); |
| 632 |
|
| 633 |
FeatureStore dbstore = utils().openStore(explorer, tableName); |
| 634 |
dbstore.edit(); |
| 635 |
FeatureType featureType = dbstore.getDefaultFeatureType(); |
| 636 |
EditableFeatureType eFeatureType = featureType.getEditable(); |
| 637 |
EditableFeatureAttributeDescriptor compu1 = eFeatureType.add("Compu1",
|
| 638 |
DataTypes.INTEGER, |
| 639 |
new DefaultFeatureAttributeEmulatorExpression(
|
| 640 |
eFeatureType, |
| 641 |
ExpressionUtils.createExpression("ID*2")
|
| 642 |
)); |
| 643 |
EditableFeatureAttributeDescriptor compu2 = eFeatureType.add("Compu2",
|
| 644 |
DataTypes.INTEGER, |
| 645 |
new DefaultFeatureAttributeEmulatorExpression(
|
| 646 |
eFeatureType, |
| 647 |
ExpressionUtils.createExpression("10000*Long+Compu1")
|
| 648 |
)); |
| 649 |
|
| 650 |
eFeatureType.getAttributeDescriptor("Byte").setAvailableValues(new DynObjectValueItem[]{ |
| 651 |
new DynObjectValueItem(null), |
| 652 |
new DynObjectValueItem(10), |
| 653 |
new DynObjectValueItem(20), |
| 654 |
new DynObjectValueItem(30), |
| 655 |
new DynObjectValueItem(40), |
| 656 |
new DynObjectValueItem(50), |
| 657 |
new DynObjectValueItem(60), |
| 658 |
new DynObjectValueItem(70), |
| 659 |
new DynObjectValueItem(80), |
| 660 |
new DynObjectValueItem(90) |
| 661 |
}); |
| 662 |
dbstore.update(eFeatureType); |
| 663 |
dbstore.finishEditing(); |
| 664 |
|
| 665 |
FeatureQuery query = dbstore.createFeatureQuery(); |
| 666 |
|
| 667 |
EditableFeatureAttributeDescriptor extraColumn1 = query.getExtraColumn().add("Extra1", DataTypes.INTEGER);
|
| 668 |
extraColumn1.setFeatureAttributeEmulator(new DefaultFeatureAttributeEmulatorExpression(featureType, ExpressionUtils.createExpression("Long+10"))); |
| 669 |
EditableFeatureAttributeDescriptor extraColumn2 = query.getExtraColumn().add("Extra2", DataTypes.INTEGER);
|
| 670 |
extraColumn2.setFeatureAttributeEmulator(new DefaultFeatureAttributeEmulatorExpression(featureType, ExpressionUtils.createExpression("20+Byte"))); |
| 671 |
|
| 672 |
DataSwingManager manager = DALSwingLocator.getDataSwingManager(); |
| 673 |
SearchParameters searchParams = manager.createFeatureStoreSearchPanel(dbstore).fetch(null);
|
| 674 |
|
| 675 |
SearchPostProcessFactory distinctOnFactory = manager.getSearchPostProcess("DistinctOn");
|
| 676 |
DynObject distinctOnParams = distinctOnFactory.createProcessParameters(dbstore, query, searchParams); |
| 677 |
|
| 678 |
distinctOnParams.setDynValue("field", "ID"); |
| 679 |
|
| 680 |
distinctOnParams.setDynValue("ID", getAggregateFunction(eFeatureType, query, "ID", aggregateFunction)); |
| 681 |
distinctOnParams.setDynValue("Byte", getAggregateFunction(eFeatureType, query, "Byte", aggregateFunction)); |
| 682 |
distinctOnParams.setDynValue("Bool1", getAggregateFunction(eFeatureType, query, "Bool1", aggregateFunction)); |
| 683 |
distinctOnParams.setDynValue("Long", getAggregateFunction(eFeatureType, query, "Long", aggregateFunction)); |
| 684 |
distinctOnParams.setDynValue("Timestamp", getAggregateFunction(eFeatureType, query, "Timestamp", aggregateFunction)); |
| 685 |
distinctOnParams.setDynValue("Date", getAggregateFunction(eFeatureType, query, "Date", aggregateFunction)); |
| 686 |
distinctOnParams.setDynValue("Bool2", getAggregateFunction(eFeatureType, query, "Bool2", aggregateFunction)); |
| 687 |
distinctOnParams.setDynValue("String", getAggregateFunction(eFeatureType, query, "String", aggregateFunction)); |
| 688 |
distinctOnParams.setDynValue("Bool3", getAggregateFunction(eFeatureType, query, "Bool3", aggregateFunction)); |
| 689 |
distinctOnParams.setDynValue("Double", getAggregateFunction(eFeatureType, query, "Double", aggregateFunction)); |
| 690 |
distinctOnParams.setDynValue("Bool4", getAggregateFunction(eFeatureType, query, "Bool4", aggregateFunction)); |
| 691 |
distinctOnParams.setDynValue("Float", getAggregateFunction(eFeatureType, query, "Float", aggregateFunction)); |
| 692 |
distinctOnParams.setDynValue("Decimal", getAggregateFunction(eFeatureType, query, "Decimal", aggregateFunction)); |
| 693 |
distinctOnParams.setDynValue("Geometry", getAggregateFunction(eFeatureType, query, "Geometry", aggregateFunction)); |
| 694 |
distinctOnParams.setDynValue("Compu1", getAggregateFunction(eFeatureType, query, "Compu1", aggregateFunction)); |
| 695 |
distinctOnParams.setDynValue("Compu2", getAggregateFunction(eFeatureType, query, "Compu2", aggregateFunction)); |
| 696 |
distinctOnParams.setDynValue("Extra1", getAggregateFunction(eFeatureType, query, "Extra1", aggregateFunction)); |
| 697 |
distinctOnParams.setDynValue("Extra2", getAggregateFunction(eFeatureType, query, "Extra2", aggregateFunction)); |
| 698 |
|
| 699 |
SearchPostProcess distinctOn = distinctOnFactory.createProcess(distinctOnFactory, dbstore, query, distinctOnParams); |
| 700 |
SearchPostProcess.SearchPostProcessResult result = distinctOn.execute(dbstore, query, distinctOnParams, null);
|
| 701 |
|
| 702 |
FeatureStore resultStore = result.getStore(); |
| 703 |
|
| 704 |
List<Feature> features0 = resultStore.getFeatures(query);
|
| 705 |
ArrayList<Feature> features = new ArrayList<>(); |
| 706 |
|
| 707 |
ArrayList<String[]> expected_values = new ArrayList<>(); |
| 708 |
expected_values.add(new String[]{"0","","","","","","","","","","","","","true","","","0","","",""}); |
| 709 |
expected_values.add(new String[]{"1","10","true"," 1000","12/29/2019 12:13:14 PM","12/29/2019","12:13:14 PM","true","Yo yo1","false","12345,543","true","123,210","true","456,123","POINT (-3.8945156972987958 42.01053743584765)","2","10000002","1010","30"}); |
| 710 |
expected_values.add(new String[]{"2","20","true"," 2000","11/29/2019 12:13:14 PM","11/29/2019","1:13:14 PM","true","Yo yo2","false","12100,543","true","100,210","true","456,123","POINT (-2.1079618220646115 41.983079082675474)","4","20000004","2010","40"}); |
| 711 |
expected_values.add(new String[]{"3","30","true"," 3000","10/29/2019 12:13:14 PM","10/29/2019","2:13:14 PM","true","Yo yo3","false","12101,543","true","101,210","true","456,123","POINT (-2.57249737803327 41.35372113353277)","6","30000006","3010","50"}); |
| 712 |
expected_values.add(new String[]{"4","40","true"," 4000","09/29/2019 12:13:14 PM","09/29/2019","3:13:14 PM","true","Yo yo4","false","12102,543","true","102,210","true","456,123","POINT (-4.061822048036304 41.35877680235475)","8","40000008","4010","60"}); |
| 713 |
expected_values.add(new String[]{"5","50","true"," 5000","08/29/2019 12:13:14 PM","08/29/2019","4:13:14 PM","true","Yo yo5","false","12103,543","true","103,210","true","456,123","POINT (-3.974317066986988 40.78701209315094)","10","50000010","5010","70"}); |
| 714 |
expected_values.add(new String[]{"6","60","true"," 6000","07/29/2019 12:13:14 PM","07/29/2019","5:13:14 PM","true","Yo yo6","false","12104,543","true","104,210","true","456,123","POINT (-2.510509736717547 40.69847453392384)","12","60000012","6010","80"}); |
| 715 |
expected_values.add(new String[]{"7","70","true"," 7000","06/29/2019 12:13:14 PM","06/29/2019","6:13:14 PM","true","Yo yo7","false","12105,543","true","105,210","true","456,123","POINT (-0.5317736981843011 40.66396082637622)","14","70000014","7010","90"}); |
| 716 |
expected_values.add(new String[]{"8","80","true"," 8000","05/29/2019 12:13:14 PM","05/29/2019","7:13:14 PM","true","Yo yo8","false","12106,543","true","106,210","true","456,123","POINT (-0.3626917259170671 41.13652386601604)","16","80000016","8010","100"}); |
| 717 |
expected_values.add(new String[]{"9","90","true"," 9000","04/29/2019 12:13:14 PM","04/29/2019","8:13:14 PM","true","Yo yo9","false","12107,543","true","107,210","true","456,123","POINT (-1.2461823078608523 41.84950010180092)","18","90000018","9010","110"}); |
| 718 |
|
| 719 |
for (int i = 0; i < features0.size(); i++) { |
| 720 |
Feature feature = features0.get(i); |
| 721 |
if( i==0 ) { |
| 722 |
System.out.println("Expected values:"); |
| 723 |
for (Object[] expected_line : expected_values) { |
| 724 |
for (Object cell : expected_line) { |
| 725 |
System.out.print(cell);
|
| 726 |
System.out.print(", "); |
| 727 |
} |
| 728 |
System.out.println();
|
| 729 |
} |
| 730 |
System.out.println("ID,Byte,Bool1,Long,Timestamp,Date,Time,Bool2,String,Bool3,Double,Bool4,Float,Bool5,Decimal,Geometry,Compu1,Compu2,Extra1,Extra2"); |
| 731 |
} |
| 732 |
features.add(feature.getCopy()); |
| 733 |
} |
| 734 |
System.out.println("ID,Byte,Bool1,Long,Timestamp,Date,Time,Bool2,String,Bool3,Double,Bool4,Float,Bool5,Decimal,Geometry,Compu1,Compu2,Extra1,Extra2"); |
| 735 |
|
| 736 |
features0 = null;
|
| 737 |
String[] header = new String[]{"ID","Byte","Bool1","Long","Timestamp","Date","Time","Bool2","String","Bool3","Double","Bool4","Float","Bool5","Decimal","Geometry","Compu1","Compu2","Extra1","Extra2"}; |
| 738 |
for (int i = 0; i < features.size(); i++) { |
| 739 |
for (int j = 0; j < header.length; j++) { |
| 740 |
assertEquals("feature[" + i + "][" + header[j] + "]:", expected_values.get(i)[j], features.get(i).format(header[j])); |
| 741 |
} |
| 742 |
} |
| 743 |
|
| 744 |
|
| 745 |
FeatureType resultType = resultStore.getDefaultFeatureType(); |
| 746 |
FeatureAttributeDescriptor attr = resultType.getAttributeDescriptor("ID");
|
| 747 |
assertEquals(DataTypes.INTEGER, attr.getType()); |
| 748 |
|
| 749 |
attr = resultType.getAttributeDescriptor("Byte");
|
| 750 |
assertEquals(DataTypes.BYTE, attr.getType()); |
| 751 |
assertNotNull(attr.getAvailableValues()); |
| 752 |
assertEquals("%2d", attr.getDefaultFormat());
|
| 753 |
|
| 754 |
attr = resultType.getAttributeDescriptor("Long");
|
| 755 |
assertEquals(DataTypes.LONG, attr.getType()); |
| 756 |
assertEquals("%6d", attr.getDefaultFormat());
|
| 757 |
|
| 758 |
attr = resultType.getAttributeDescriptor("Double");
|
| 759 |
assertEquals(DataTypes.DOUBLE, attr.getType()); |
| 760 |
assertEquals("%6.3f", attr.getDefaultFormat());
|
| 761 |
|
| 762 |
attr = resultType.getAttributeDescriptor("Float");
|
| 763 |
assertEquals(DataTypes.FLOAT, attr.getType()); |
| 764 |
assertEquals("%6.3f", attr.getDefaultFormat());
|
| 765 |
|
| 766 |
attr = resultType.getAttributeDescriptor("Decimal");
|
| 767 |
assertEquals(DataTypes.DECIMAL, attr.getType()); |
| 768 |
assertEquals("%6.3f", attr.getDefaultFormat());
|
| 769 |
|
| 770 |
DisposeUtils.dispose(dbstore); |
| 771 |
} catch (Throwable th) { |
| 772 |
LOGGER.warn("", th);
|
| 773 |
th.printStackTrace(); |
| 774 |
throw th;
|
| 775 |
} |
| 776 |
} |
| 777 |
|
| 778 |
protected void testAggregatesSum() throws Exception { |
| 779 |
try {
|
| 780 |
if (!utils().isTheDatabaseAvailable()) {
|
| 781 |
return;
|
| 782 |
} |
| 783 |
String tableName = "testAggregatesSum"; //Change for each test |
| 784 |
String testName = "testAggregatesSum"; //Change for each test |
| 785 |
AggregateOperationFactory aggregateFunction = DistinctOn.getAggregatesOperationFactory( |
| 786 |
SumAggregateOperationFactory.NAME //Change for each test
|
| 787 |
); |
| 788 |
|
| 789 |
FeatureStore sourceStore = utils().openCSVStore("/org/gvsig/fmap/dal/store/jdbc2/testCreateSource3.csv");
|
| 790 |
JDBCServerExplorer explorer = utils().openServerExplorer(testName); |
| 791 |
utils().initWorkspace(testName); |
| 792 |
|
| 793 |
utils().info_jdbc(explorer); |
| 794 |
|
| 795 |
utils().drop_tables(explorer, tableName); |
| 796 |
utils().create_table_from(explorer, tableName, sourceStore); |
| 797 |
utils().insert_into_from(explorer, tableName, sourceStore, FeatureStore.MODE_APPEND); |
| 798 |
|
| 799 |
JDBCHelper helper = utils().createJDBCHelper(); |
| 800 |
JDBCSQLBuilderBase sqlbuilder = helper.createSQLBuilder(); |
| 801 |
OperationsFactory operations = helper.getOperations(); |
| 802 |
|
| 803 |
TableReference table = operations.createTableReference( |
| 804 |
testName, |
| 805 |
sqlbuilder.default_schema(), |
| 806 |
tableName, |
| 807 |
null
|
| 808 |
); |
| 809 |
|
| 810 |
FeatureStore dbstore = utils().openStore(explorer, tableName); |
| 811 |
dbstore.edit(); |
| 812 |
FeatureType featureType = dbstore.getDefaultFeatureType(); |
| 813 |
EditableFeatureType eFeatureType = featureType.getEditable(); |
| 814 |
EditableFeatureAttributeDescriptor compu1 = eFeatureType.add("Compu1",
|
| 815 |
DataTypes.INTEGER, |
| 816 |
new DefaultFeatureAttributeEmulatorExpression(
|
| 817 |
eFeatureType, |
| 818 |
ExpressionUtils.createExpression("ID*2")
|
| 819 |
)); |
| 820 |
EditableFeatureAttributeDescriptor compu2 = eFeatureType.add("Compu2",
|
| 821 |
DataTypes.INTEGER, |
| 822 |
new DefaultFeatureAttributeEmulatorExpression(
|
| 823 |
eFeatureType, |
| 824 |
ExpressionUtils.createExpression("10000*Long+Compu1")
|
| 825 |
)); |
| 826 |
|
| 827 |
eFeatureType.getAttributeDescriptor("Byte").setAvailableValues(new DynObjectValueItem[]{ |
| 828 |
new DynObjectValueItem(null), |
| 829 |
new DynObjectValueItem(10), |
| 830 |
new DynObjectValueItem(20), |
| 831 |
new DynObjectValueItem(30), |
| 832 |
new DynObjectValueItem(40), |
| 833 |
new DynObjectValueItem(50), |
| 834 |
new DynObjectValueItem(60), |
| 835 |
new DynObjectValueItem(70), |
| 836 |
new DynObjectValueItem(80), |
| 837 |
new DynObjectValueItem(90) |
| 838 |
}); |
| 839 |
dbstore.update(eFeatureType); |
| 840 |
dbstore.finishEditing(); |
| 841 |
|
| 842 |
FeatureQuery query = dbstore.createFeatureQuery(); |
| 843 |
|
| 844 |
EditableFeatureAttributeDescriptor extraColumn1 = query.getExtraColumn().add("Extra1", DataTypes.INTEGER);
|
| 845 |
extraColumn1.setFeatureAttributeEmulator(new DefaultFeatureAttributeEmulatorExpression(featureType, ExpressionUtils.createExpression("Long+10"))); |
| 846 |
EditableFeatureAttributeDescriptor extraColumn2 = query.getExtraColumn().add("Extra2", DataTypes.INTEGER);
|
| 847 |
extraColumn2.setFeatureAttributeEmulator(new DefaultFeatureAttributeEmulatorExpression(featureType, ExpressionUtils.createExpression("20+Byte"))); |
| 848 |
|
| 849 |
DataSwingManager manager = DALSwingLocator.getDataSwingManager(); |
| 850 |
SearchParameters searchParams = manager.createFeatureStoreSearchPanel(dbstore).fetch(null);
|
| 851 |
|
| 852 |
SearchPostProcessFactory distinctOnFactory = manager.getSearchPostProcess("DistinctOn");
|
| 853 |
DynObject distinctOnParams = distinctOnFactory.createProcessParameters(dbstore, query, searchParams); |
| 854 |
|
| 855 |
distinctOnParams.setDynValue("field", "ID"); |
| 856 |
|
| 857 |
distinctOnParams.setDynValue("ID", getAggregateFunction(eFeatureType, query, "ID", aggregateFunction)); |
| 858 |
distinctOnParams.setDynValue("Byte", getAggregateFunction(eFeatureType, query, "Byte", aggregateFunction)); |
| 859 |
distinctOnParams.setDynValue("Bool1", getAggregateFunction(eFeatureType, query, "Bool1", aggregateFunction)); |
| 860 |
distinctOnParams.setDynValue("Long", getAggregateFunction(eFeatureType, query, "Long", aggregateFunction)); |
| 861 |
distinctOnParams.setDynValue("Timestamp", getAggregateFunction(eFeatureType, query, "Timestamp", aggregateFunction)); |
| 862 |
distinctOnParams.setDynValue("Date", getAggregateFunction(eFeatureType, query, "Date", aggregateFunction)); |
| 863 |
distinctOnParams.setDynValue("Bool2", getAggregateFunction(eFeatureType, query, "Bool2", aggregateFunction)); |
| 864 |
distinctOnParams.setDynValue("String", getAggregateFunction(eFeatureType, query, "String", aggregateFunction)); |
| 865 |
distinctOnParams.setDynValue("Bool3", getAggregateFunction(eFeatureType, query, "Bool3", aggregateFunction)); |
| 866 |
distinctOnParams.setDynValue("Double", getAggregateFunction(eFeatureType, query, "Double", aggregateFunction)); |
| 867 |
distinctOnParams.setDynValue("Bool4", getAggregateFunction(eFeatureType, query, "Bool4", aggregateFunction)); |
| 868 |
distinctOnParams.setDynValue("Float", getAggregateFunction(eFeatureType, query, "Float", aggregateFunction)); |
| 869 |
distinctOnParams.setDynValue("Decimal", getAggregateFunction(eFeatureType, query, "Decimal", aggregateFunction)); |
| 870 |
distinctOnParams.setDynValue("Geometry", getAggregateFunction(eFeatureType, query, "Geometry", aggregateFunction)); |
| 871 |
distinctOnParams.setDynValue("Compu1", getAggregateFunction(eFeatureType, query, "Compu1", aggregateFunction)); |
| 872 |
distinctOnParams.setDynValue("Compu2", getAggregateFunction(eFeatureType, query, "Compu2", aggregateFunction)); |
| 873 |
distinctOnParams.setDynValue("Extra1", getAggregateFunction(eFeatureType, query, "Extra1", aggregateFunction)); |
| 874 |
distinctOnParams.setDynValue("Extra2", getAggregateFunction(eFeatureType, query, "Extra2", aggregateFunction)); |
| 875 |
|
| 876 |
SearchPostProcess distinctOn = distinctOnFactory.createProcess(distinctOnFactory, dbstore, query, distinctOnParams); |
| 877 |
SearchPostProcess.SearchPostProcessResult result = distinctOn.execute(dbstore, query, distinctOnParams, null);
|
| 878 |
|
| 879 |
FeatureStore resultStore = result.getStore(); |
| 880 |
|
| 881 |
List<Feature> features0 = resultStore.getFeatures(query);
|
| 882 |
ArrayList<Feature> features = new ArrayList<>(); |
| 883 |
|
| 884 |
ArrayList<String[]> expected_values = new ArrayList<>(); |
| 885 |
expected_values.add(new String[]{"0", "0", "", "0", "", "", "", "", "", "", "0,000000", "","0,000000","true","0,000000", "","0", "0", "0", "0"}); |
| 886 |
expected_values.add(new String[]{"1","10","true","1000","12/29/2019 12:13:14 PM","12/29/2019","12:13:14 PM","true","Yo yo1","false","12345,543210","true","123,209999","true","456,123000","POINT (-3.8945156972987958 42.01053743584765)" ,"2","10000002","1010","30"}); |
| 887 |
expected_values.add(new String[]{"2","20","true","2000","11/29/2019 12:13:14 PM","11/29/2019","1:13:14 PM" ,"true","Yo yo2","false","12100,543210","true","100,209999","true","456,123000","POINT (-2.1079618220646115 41.983079082675474)" ,"4","20000004","2010","40"}); |
| 888 |
expected_values.add(new String[]{"3","30","true","3000","10/29/2019 12:13:14 PM","10/29/2019","2:13:14 PM" ,"true","Yo yo3","false","12101,543210","true","101,209999","true","456,123000","POINT (-2.57249737803327 41.35372113353277)" ,"6","30000006","3010","50"}); |
| 889 |
expected_values.add(new String[]{"4","40","true","4000","09/29/2019 12:13:14 PM","09/29/2019","3:13:14 PM" ,"true","Yo yo4","false","12102,543210","true","102,209999","true","456,123000","POINT (-4.061822048036304 41.35877680235475)" ,"8","40000008","4010","60"}); |
| 890 |
expected_values.add(new String[]{"5","50","true","5000","08/29/2019 12:13:14 PM","08/29/2019","4:13:14 PM" ,"true","Yo yo5","false","12103,543210","true","103,209999","true","456,123000","POINT (-3.974317066986988 40.78701209315094)" ,"10","50000010","5010","70"}); |
| 891 |
expected_values.add(new String[]{"6","60","true","6000","07/29/2019 12:13:14 PM","07/29/2019","5:13:14 PM" ,"true","Yo yo6","false","12104,543210","true","104,209999","true","456,123000","POINT (-2.510509736717547 40.69847453392384)" ,"12","60000012","6010","80"}); |
| 892 |
expected_values.add(new String[]{"7","70","true","7000","06/29/2019 12:13:14 PM","06/29/2019","6:13:14 PM" ,"true","Yo yo7","false","12105,543210","true","105,209999","true","456,123000","POINT (-0.5317736981843011 40.66396082637622)" ,"14","70000014","7010","90"}); |
| 893 |
expected_values.add(new String[]{"8","80","true","8000","05/29/2019 12:13:14 PM","05/29/2019","7:13:14 PM" ,"true","Yo yo8","false","12106,543210","true","106,209999","true","456,123000","POINT (-0.3626917259170671 41.13652386601604)" ,"16","80000016","8010","100"}); |
| 894 |
expected_values.add(new String[]{"9","90","true","9000","04/29/2019 12:13:14 PM","04/29/2019","8:13:14 PM" ,"true","Yo yo9","false","12107,543210","true","107,209999","true","456,123000","POINT (-1.2461823078608523 41.84950010180092)" ,"18","90000018","9010","110"}); |
| 895 |
|
| 896 |
for (int i = 0; i < features0.size(); i++) { |
| 897 |
Feature feature = features0.get(i); |
| 898 |
if( i==0 ) { |
| 899 |
System.out.println("Expected values:"); |
| 900 |
for (Object[] expected_line : expected_values) { |
| 901 |
for (Object cell : expected_line) { |
| 902 |
System.out.print(cell);
|
| 903 |
System.out.print(", "); |
| 904 |
} |
| 905 |
System.out.println();
|
| 906 |
} |
| 907 |
System.out.println("ID,Byte,Bool1,Long,Timestamp,Date,Time,Bool2,String,Bool3,Double,Bool4,Float,Bool5,Decimal,Geometry,Compu1,Compu2,Extra1,Extra2"); |
| 908 |
} |
| 909 |
features.add(feature.getCopy()); |
| 910 |
} |
| 911 |
System.out.println("ID,Byte,Bool1,Long,Timestamp,Date,Time,Bool2,String,Bool3,Double,Bool4,Float,Bool5,Decimal,Geometry,Compu1,Compu2,Extra1,Extra2"); |
| 912 |
|
| 913 |
features0 = null;
|
| 914 |
String[] header = new String[]{"ID","Byte","Bool1","Long","Timestamp","Date","Time","Bool2","String","Bool3","Double","Bool4","Float","Bool5","Decimal","Geometry","Compu1","Compu2","Extra1","Extra2"}; |
| 915 |
for (int i = 0; i < features.size(); i++) { |
| 916 |
for (int j = 0; j < header.length; j++) { |
| 917 |
assertEquals("feature[" + i + "][" + header[j] + "]:", expected_values.get(i)[j], features.get(i).format(header[j])); |
| 918 |
} |
| 919 |
} |
| 920 |
|
| 921 |
|
| 922 |
FeatureType resultType = resultStore.getDefaultFeatureType(); |
| 923 |
FeatureAttributeDescriptor attr = resultType.getAttributeDescriptor("ID");
|
| 924 |
assertEquals(DataTypes.LONG, attr.getType()); |
| 925 |
|
| 926 |
attr = resultType.getAttributeDescriptor("Byte");
|
| 927 |
assertEquals(DataTypes.LONG, attr.getType()); |
| 928 |
assertNull(attr.getAvailableValues()); |
| 929 |
assertEquals("%d", attr.getDefaultFormat());
|
| 930 |
|
| 931 |
attr = resultType.getAttributeDescriptor("Long");
|
| 932 |
assertEquals(DataTypes.LONG, attr.getType()); |
| 933 |
assertEquals("%d", attr.getDefaultFormat());
|
| 934 |
|
| 935 |
attr = resultType.getAttributeDescriptor("Double");
|
| 936 |
assertEquals(DataTypes.DOUBLE, attr.getType()); |
| 937 |
assertEquals("%f", attr.getDefaultFormat());
|
| 938 |
|
| 939 |
attr = resultType.getAttributeDescriptor("Float");
|
| 940 |
assertEquals(DataTypes.DOUBLE, attr.getType()); |
| 941 |
assertEquals("%f", attr.getDefaultFormat());
|
| 942 |
|
| 943 |
attr = resultType.getAttributeDescriptor("Decimal");
|
| 944 |
assertEquals(DataTypes.DOUBLE, attr.getType()); |
| 945 |
assertEquals("%f", attr.getDefaultFormat());
|
| 946 |
|
| 947 |
DisposeUtils.dispose(dbstore); |
| 948 |
} catch (Throwable th) { |
| 949 |
LOGGER.warn("", th);
|
| 950 |
th.printStackTrace(); |
| 951 |
throw th;
|
| 952 |
} |
| 953 |
} |
| 954 |
|
| 955 |
private String getAggregateFunction(FeatureType type, FeatureQuery query, String attrName, AggregateOperationFactory aggregate){ |
| 956 |
|
| 957 |
FeatureAttributeDescriptor attr = type.getAttributeDescriptor(attrName); |
| 958 |
if(attr == null){ |
| 959 |
attr = query.getExtraColumns().get(attrName); |
| 960 |
} |
| 961 |
LOGGER.info(attrName); |
| 962 |
if(aggregate.isApplicable(attr.getObjectClass())){
|
| 963 |
LOGGER.info(attrName+", "+ aggregate.getName());
|
| 964 |
return aggregate.getName();
|
| 965 |
} else {
|
| 966 |
LOGGER.info(attrName+", "+ FirstAggregateOperationFactory.NAME);
|
| 967 |
return FirstAggregateOperationFactory.NAME;
|
| 968 |
} |
| 969 |
|
| 970 |
|
| 971 |
|
| 972 |
} |
| 973 |
|
| 974 |
} |