Revision 27723 branches/v2_0_0_prep/libraries/libFMap_dal/src-test/org/gvsig/fmap/dal/feature/BaseTestFeatureStore.java
BaseTestFeatureStore.java | ||
---|---|---|
654 | 654 |
|
655 | 655 |
} |
656 | 656 |
|
657 |
public void testSimpleIteration(DataStoreParameters parameters) { |
|
657 |
public void testSimpleIteration(DataStoreParameters parameters) |
|
658 |
throws Exception { |
|
658 | 659 |
FeatureStore store = null; |
659 |
try { |
|
660 |
store = (FeatureStore) dataManager.createStore(parameters); |
|
660 |
store = (FeatureStore) dataManager.createStore(parameters); |
|
661 | 661 |
|
662 |
this.testSimpleIteration(store);
|
|
662 |
this.testSimpleIteration(store); |
|
663 | 663 |
|
664 |
store.dispose();
|
|
664 |
store.dispose(); |
|
665 | 665 |
|
666 |
} catch (DataException e3) { |
|
667 |
e3.printStackTrace(); |
|
668 |
fail(); |
|
669 |
return; |
|
670 |
} |
|
671 | 666 |
} |
672 | 667 |
|
673 |
public void testIterationFastAndStandart(DataStoreParameters parameters) { |
|
668 |
public void testIterationFastAndStandart(DataStoreParameters parameters) |
|
669 |
throws Exception { |
|
674 | 670 |
FeatureStore store = null; |
675 |
try { |
|
676 |
store = (FeatureStore) dataManager.createStore(parameters); |
|
671 |
store = (FeatureStore) dataManager.createStore(parameters); |
|
677 | 672 |
|
678 |
this.testIterationFastAndStandart(store);
|
|
673 |
this.testIterationFastAndStandart(store); |
|
679 | 674 |
|
680 |
store.dispose();
|
|
675 |
store.dispose(); |
|
681 | 676 |
|
682 |
} catch (DataException e3) { |
|
683 |
e3.printStackTrace(); |
|
684 |
fail(); |
|
685 |
return; |
|
686 |
} |
|
687 | 677 |
} |
688 | 678 |
|
689 | 679 |
/** |
690 | 680 |
* |
691 | 681 |
* @param count |
692 | 682 |
* if (< 0) list.size() >= 1 else list.size() == count |
683 |
* @throws Exception |
|
693 | 684 |
*/ |
694 |
public void testExplorerList(int count) { |
|
685 |
public void testExplorerList(int count) throws Exception {
|
|
695 | 686 |
FeatureStore store = null; |
696 |
try { |
|
697 |
store = (FeatureStore) dataManager.createStore(this |
|
698 |
.getDefaultDataStoreParameters()); |
|
699 |
} catch (Exception e) { |
|
700 |
e.printStackTrace(); |
|
701 |
fail(); |
|
702 |
return; |
|
703 |
} |
|
687 |
store = (FeatureStore) dataManager.createStore(this |
|
688 |
.getDefaultDataStoreParameters()); |
|
704 | 689 |
|
705 | 690 |
DataServerExplorer explorer; |
706 |
try { |
|
707 |
explorer = store.getExplorer(); |
|
708 |
} catch (DataException e) { |
|
709 |
e.printStackTrace(); |
|
710 |
fail(); |
|
711 |
return; |
|
712 |
} |
|
691 |
explorer = store.getExplorer(); |
|
713 | 692 |
|
714 | 693 |
if (count < 0) { |
715 |
try { |
|
716 |
assertTrue(explorer.list().size() >= 1); |
|
717 |
} catch (DataException e) { |
|
718 |
e.printStackTrace(); |
|
719 |
fail(); |
|
720 |
return; |
|
721 |
} |
|
722 |
|
|
694 |
assertTrue(explorer.list().size() >= 1); |
|
723 | 695 |
} else { |
724 |
try { |
|
725 |
assertTrue(explorer.list().size() == count); |
|
726 |
} catch (DataException e) { |
|
727 |
e.printStackTrace(); |
|
728 |
fail(); |
|
729 |
return; |
|
730 |
} |
|
696 |
assertTrue(explorer.list().size() == count); |
|
731 | 697 |
} |
732 | 698 |
|
733 |
try { |
|
734 |
store.dispose(); |
|
735 |
} catch (DataException e) { |
|
736 |
e.printStackTrace(); |
|
737 |
fail(); |
|
738 |
return; |
|
739 |
} |
|
699 |
store.dispose(); |
|
740 | 700 |
|
741 |
try { |
|
742 |
explorer.dispose(); |
|
743 |
} catch (DataException e) { |
|
744 |
e.printStackTrace(); |
|
745 |
fail(); |
|
746 |
return; |
|
747 |
} |
|
701 |
explorer.dispose(); |
|
748 | 702 |
} |
749 | 703 |
|
750 | 704 |
//================================================= |
... | ... | |
753 | 707 |
|
754 | 708 |
|
755 | 709 |
|
756 |
public void testIterationFastAndStandart() { |
|
757 |
try { |
|
758 |
this.testIterationFastAndStandart(this |
|
759 |
.getDefaultDataStoreParameters()); |
|
760 |
} catch (DataException e) { |
|
761 |
e.printStackTrace(); |
|
762 |
fail(); |
|
763 |
} |
|
710 |
public void testIterationFastAndStandart() throws Exception { |
|
711 |
this.testIterationFastAndStandart(this.getDefaultDataStoreParameters()); |
|
764 | 712 |
} |
765 | 713 |
|
766 |
public void testSimpleIteration() { |
|
767 |
try { |
|
768 |
this.testSimpleIteration(this.getDefaultDataStoreParameters()); |
|
769 |
} catch (DataException e) { |
|
770 |
e.printStackTrace(); |
|
771 |
fail(); |
|
772 |
} |
|
714 |
public void testSimpleIteration() throws Exception { |
|
715 |
this.testSimpleIteration(this.getDefaultDataStoreParameters()); |
|
773 | 716 |
} |
774 | 717 |
|
775 |
public void testInitializeStore() { |
|
776 |
try { |
|
777 |
FeatureStore store = (FeatureStore) dataManager.createStore(this |
|
778 |
.getDefaultDataStoreParameters()); |
|
779 |
store.dispose(); |
|
780 |
} catch (DataException e) { |
|
781 |
e.printStackTrace(); |
|
782 |
fail(); |
|
783 |
} |
|
718 |
public void testInitializeStore() throws Exception { |
|
719 |
FeatureStore store = (FeatureStore) dataManager.createStore(this |
|
720 |
.getDefaultDataStoreParameters()); |
|
721 |
store.dispose(); |
|
784 | 722 |
} |
785 | 723 |
|
786 | 724 |
|
787 |
public void testExplorer() { |
|
725 |
public void testExplorer() throws Exception {
|
|
788 | 726 |
if (!this.hasExplorer()) { |
789 | 727 |
return; |
790 | 728 |
} |
... | ... | |
792 | 730 |
|
793 | 731 |
} |
794 | 732 |
|
795 |
public void testSelection() { |
|
796 |
try { |
|
797 |
DataStoreParameters parameters = this |
|
798 |
.getDefaultDataStoreParameters(); |
|
733 |
public void testSelection() throws Exception { |
|
734 |
DataStoreParameters parameters = this.getDefaultDataStoreParameters(); |
|
799 | 735 |
|
800 |
FeatureStore store = (FeatureStore) dataManager |
|
801 |
.createStore(parameters); |
|
802 |
FeatureSet set = store.getFeatureSet(); |
|
736 |
FeatureStore store = (FeatureStore) dataManager.createStore(parameters); |
|
737 |
FeatureSet set = store.getFeatureSet(); |
|
803 | 738 |
|
804 |
assertTrue(store.getFeatureSelection().isEmpty());
|
|
805 |
store.setSelection(set);
|
|
806 |
assertFalse(store.getFeatureSelection().isEmpty());
|
|
739 |
assertTrue(store.getFeatureSelection().isEmpty()); |
|
740 |
store.setSelection(set); |
|
741 |
assertFalse(store.getFeatureSelection().isEmpty()); |
|
807 | 742 |
|
808 |
assertEquals(set.getSize(), store.getFeatureSelection().getSize());
|
|
743 |
assertEquals(set.getSize(), store.getFeatureSelection().getSize()); |
|
809 | 744 |
|
810 |
DisposableIterator iter = set.iterator();
|
|
811 |
while (iter.hasNext()) {
|
|
812 |
assertTrue(store.getFeatureSelection().isSelected(
|
|
813 |
(Feature) iter.next()));
|
|
814 |
}
|
|
815 |
iter.dispose();
|
|
745 |
DisposableIterator iter = set.iterator(); |
|
746 |
while (iter.hasNext()) { |
|
747 |
assertTrue(store.getFeatureSelection().isSelected( |
|
748 |
(Feature) iter.next())); |
|
749 |
} |
|
750 |
iter.dispose(); |
|
816 | 751 |
|
817 |
store.getFeatureSelection().reverse();
|
|
818 |
assertTrue(store.getFeatureSelection().isEmpty());
|
|
819 |
assertEquals(0, store.getFeatureSelection().getSize());
|
|
820 |
store.getFeatureSelection().reverse();
|
|
821 |
assertEquals(set.getSize(), store.getFeatureSelection().getSize());
|
|
822 |
assertFalse(store.getFeatureSelection().isEmpty());
|
|
752 |
store.getFeatureSelection().reverse(); |
|
753 |
assertTrue(store.getFeatureSelection().isEmpty()); |
|
754 |
assertEquals(0, store.getFeatureSelection().getSize()); |
|
755 |
store.getFeatureSelection().reverse(); |
|
756 |
assertEquals(set.getSize(), store.getFeatureSelection().getSize()); |
|
757 |
assertFalse(store.getFeatureSelection().isEmpty()); |
|
823 | 758 |
|
824 |
set.dispose();
|
|
759 |
set.dispose(); |
|
825 | 760 |
|
826 |
} catch (DataException e3) { |
|
827 |
e3.printStackTrace(); |
|
828 |
fail(); |
|
829 |
return; |
|
830 |
} |
|
831 |
|
|
832 | 761 |
} |
833 | 762 |
|
834 |
public void testCustomFTypeSet() { |
|
835 |
try { |
|
836 |
DataStoreParameters dbfParameters = this |
|
837 |
.getDefaultDataStoreParameters(); |
|
763 |
public void testCustomFTypeSet() throws Exception { |
|
764 |
DataStoreParameters dbfParameters = this |
|
765 |
.getDefaultDataStoreParameters(); |
|
838 | 766 |
|
839 |
FeatureStore store = (FeatureStore) dataManager
|
|
840 |
.createStore(dbfParameters);
|
|
767 |
FeatureStore store = (FeatureStore) dataManager |
|
768 |
.createStore(dbfParameters); |
|
841 | 769 |
|
842 |
testCustomFTypeSet(store);
|
|
770 |
testCustomFTypeSet(store); |
|
843 | 771 |
|
844 |
store.dispose(); |
|
845 |
} catch (DataException e3) { |
|
846 |
e3.printStackTrace(); |
|
847 |
fail(); |
|
848 |
return; |
|
849 |
} |
|
772 |
store.dispose(); |
|
850 | 773 |
} |
851 | 774 |
|
852 | 775 |
public void testCustomFTypeSet(FeatureStore store) { |
... | ... | |
932 | 855 |
} |
933 | 856 |
} |
934 | 857 |
|
935 |
public void testPersistence() { |
|
858 |
public void testPersistence() throws Exception {
|
|
936 | 859 |
if ((FeatureStore) ToolsLocator.getPersistenceManager() == null) { |
937 | 860 |
fail("Default Persistence Manager not register"); |
938 | 861 |
} |
939 |
try { |
|
940 |
DataStoreParameters params = this.getDefaultDataStoreParameters(); |
|
862 |
DataStoreParameters params = this.getDefaultDataStoreParameters(); |
|
941 | 863 |
|
942 | 864 |
|
943 |
FeatureStore store = (FeatureStore) dataManager |
|
944 |
.createStore(params); |
|
865 |
FeatureStore store = (FeatureStore) dataManager.createStore(params); |
|
945 | 866 |
|
946 |
testSimpleIteration(store);
|
|
867 |
testSimpleIteration(store); |
|
947 | 868 |
|
948 |
PersistentState state = store.getState();
|
|
869 |
PersistentState state = store.getState(); |
|
949 | 870 |
|
950 |
FeatureStore store2 = (FeatureStore) ToolsLocator
|
|
951 |
.getPersistenceManager().create(state);
|
|
871 |
FeatureStore store2 = (FeatureStore) ToolsLocator |
|
872 |
.getPersistenceManager().create(state); |
|
952 | 873 |
|
953 |
testSimpleIteration(store2);
|
|
874 |
testSimpleIteration(store2); |
|
954 | 875 |
|
955 |
assertTrue(compareStores(store, store2));
|
|
876 |
assertTrue(compareStores(store, store2)); |
|
956 | 877 |
|
957 |
//TODO Compare states
|
|
958 |
// XMLEntityState state2 = (XMLEntityState) store.getState();
|
|
959 |
//
|
|
960 |
// assertEquals(state.getXMLEntity().toString(), state2.getXMLEntity()
|
|
961 |
// .toString());
|
|
962 |
//
|
|
963 |
store.dispose();
|
|
964 |
store2.dispose();
|
|
878 |
// TODO Compare states
|
|
879 |
// XMLEntityState state2 = (XMLEntityState) store.getState();
|
|
880 |
// |
|
881 |
// assertEquals(state.getXMLEntity().toString(), state2.getXMLEntity()
|
|
882 |
// .toString());
|
|
883 |
// |
|
884 |
store.dispose(); |
|
885 |
store2.dispose(); |
|
965 | 886 |
|
966 |
} catch (DataException e3) { |
|
967 |
e3.printStackTrace(); |
|
968 |
fail(); |
|
969 |
return; |
|
970 |
} catch (PersistenceException e) { |
|
971 |
e.printStackTrace(); |
|
972 |
fail(); |
|
973 |
return; |
|
974 |
} |
|
975 | 887 |
|
976 | 888 |
} |
977 | 889 |
|
978 | 890 |
|
979 |
public void testShort() { |
|
980 |
try { |
|
891 |
public void testShort() throws Exception { |
|
892 |
DataStoreParameters dbfParameters = this |
|
893 |
.getDefaultDataStoreParameters(); |
|
981 | 894 |
|
982 |
DataStoreParameters dbfParameters = this
|
|
983 |
.getDefaultDataStoreParameters();
|
|
895 |
FeatureStore store = (FeatureStore) dataManager
|
|
896 |
.createStore(dbfParameters);
|
|
984 | 897 |
|
985 |
FeatureStore store = (FeatureStore) dataManager |
|
986 |
.createStore(dbfParameters); |
|
898 |
testShort(store); |
|
987 | 899 |
|
988 |
testShort(store);
|
|
900 |
store.dispose();
|
|
989 | 901 |
|
990 |
store.dispose(); |
|
991 |
|
|
992 |
} catch (DataException e3) { |
|
993 |
e3.printStackTrace(); |
|
994 |
fail(); |
|
995 |
return; |
|
996 |
} |
|
997 |
|
|
998 |
|
|
999 | 902 |
} |
1000 | 903 |
|
1001 | 904 |
public void testShort(FeatureStore store) { |
... | ... | |
1180 | 1083 |
} |
1181 | 1084 |
|
1182 | 1085 |
|
1183 |
public void testTransformsData() { |
|
1184 |
try { |
|
1185 |
DataStoreParameters dbfParameters = this |
|
1186 |
.getDefaultDataStoreParameters(); |
|
1086 |
public void testTransformsData() throws Exception { |
|
1087 |
DataStoreParameters dbfParameters = this |
|
1088 |
.getDefaultDataStoreParameters(); |
|
1187 | 1089 |
|
1188 |
FeatureStore store = (FeatureStore) dataManager
|
|
1189 |
.createStore(dbfParameters);
|
|
1090 |
FeatureStore store = (FeatureStore) dataManager |
|
1091 |
.createStore(dbfParameters); |
|
1190 | 1092 |
|
1191 |
FeatureStore store1 = (FeatureStore) dataManager
|
|
1192 |
.createStore(dbfParameters);
|
|
1093 |
FeatureStore store1 = (FeatureStore) dataManager |
|
1094 |
.createStore(dbfParameters); |
|
1193 | 1095 |
|
1194 |
FeatureStoreTransform transform = new StringsToLowerTransform();
|
|
1195 |
transform.setFeatureStore(store);
|
|
1096 |
FeatureStoreTransform transform = new StringsToLowerTransform(); |
|
1097 |
transform.setFeatureStore(store); |
|
1196 | 1098 |
|
1197 |
store.getTransforms().add(transform);
|
|
1099 |
store.getTransforms().add(transform); |
|
1198 | 1100 |
|
1199 |
FeatureSet set, set1;
|
|
1200 |
DisposableIterator iter, iter1;
|
|
1201 |
Iterator iterAttr;
|
|
1202 |
FeatureAttributeDescriptor attr;
|
|
1203 |
Feature feature, feature1;
|
|
1204 |
int i, ntimes;
|
|
1205 |
Object v1,v2;
|
|
1101 |
FeatureSet set, set1; |
|
1102 |
DisposableIterator iter, iter1; |
|
1103 |
Iterator iterAttr; |
|
1104 |
FeatureAttributeDescriptor attr; |
|
1105 |
Feature feature, feature1; |
|
1106 |
int i, ntimes; |
|
1107 |
Object v1, v2;
|
|
1206 | 1108 |
|
1207 | 1109 |
|
1208 |
fullStoreIteratorTest(store);
|
|
1110 |
fullStoreIteratorTest(store); |
|
1209 | 1111 |
|
1210 |
set = store.getFeatureSet();
|
|
1211 |
set1 = store1.getFeatureSet();
|
|
1212 |
ntimes = getRandom().nextInt(3) + 1;
|
|
1213 |
for (i=0;i<ntimes;i++){
|
|
1214 |
if (getRandom().nextBoolean()) {
|
|
1215 |
iter = set.fastIterator();
|
|
1216 |
} else {
|
|
1217 |
iter = set.iterator();
|
|
1218 |
}
|
|
1219 |
if (getRandom().nextBoolean()) {
|
|
1220 |
iter1 = set1.fastIterator();
|
|
1221 |
} else {
|
|
1222 |
iter1 = set1.iterator();
|
|
1223 |
}
|
|
1224 |
while (iter.hasNext()) {
|
|
1225 |
feature = (Feature) iter.next();
|
|
1226 |
feature1 = (Feature) iter1.next();
|
|
1112 |
set = store.getFeatureSet(); |
|
1113 |
set1 = store1.getFeatureSet(); |
|
1114 |
ntimes = getRandom().nextInt(3) + 1; |
|
1115 |
for (i = 0; i < ntimes; i++) {
|
|
1116 |
if (getRandom().nextBoolean()) { |
|
1117 |
iter = set.fastIterator(); |
|
1118 |
} else { |
|
1119 |
iter = set.iterator(); |
|
1120 |
} |
|
1121 |
if (getRandom().nextBoolean()) { |
|
1122 |
iter1 = set1.fastIterator(); |
|
1123 |
} else { |
|
1124 |
iter1 = set1.iterator(); |
|
1125 |
} |
|
1126 |
while (iter.hasNext()) { |
|
1127 |
feature = (Feature) iter.next(); |
|
1128 |
feature1 = (Feature) iter1.next(); |
|
1227 | 1129 |
|
1228 |
iterAttr = set.getDefaultFeatureType().iterator(); |
|
1229 |
while (iterAttr.hasNext()) { |
|
1230 |
attr = (FeatureAttributeDescriptor) iterAttr.next(); |
|
1231 |
v1 = feature.get(attr.getIndex()); |
|
1232 |
v2 = feature1.get(attr.getIndex()); |
|
1233 |
if (attr.getDataType() == DataTypes.STRING) { |
|
1234 |
if (v1 != null) { |
|
1235 |
v1 = ((String) v1).toLowerCase(); |
|
1236 |
} |
|
1237 |
|
|
1130 |
iterAttr = set.getDefaultFeatureType().iterator(); |
|
1131 |
while (iterAttr.hasNext()) { |
|
1132 |
attr = (FeatureAttributeDescriptor) iterAttr.next(); |
|
1133 |
v1 = feature.get(attr.getIndex()); |
|
1134 |
v2 = feature1.get(attr.getIndex()); |
|
1135 |
if (attr.getDataType() == DataTypes.STRING) { |
|
1136 |
if (v1 != null) { |
|
1137 |
v1 = ((String) v1).toLowerCase(); |
|
1238 | 1138 |
} |
1239 |
compareFeatureValue(v1, v2, attr); |
|
1139 |
|
|
1240 | 1140 |
} |
1141 |
compareFeatureValue(v1, v2, attr); |
|
1241 | 1142 |
} |
1242 |
assertFalse(iter1.hasNext()); |
|
1243 |
iter.dispose(); |
|
1244 |
iter1.dispose(); |
|
1245 | 1143 |
} |
1144 |
assertFalse(iter1.hasNext()); |
|
1145 |
iter.dispose(); |
|
1146 |
iter1.dispose(); |
|
1147 |
} |
|
1246 | 1148 |
|
1247 | 1149 |
|
1248 |
set.dispose();
|
|
1249 |
set1.dispose();
|
|
1150 |
set.dispose(); |
|
1151 |
set1.dispose(); |
|
1250 | 1152 |
|
1251 | 1153 |
|
1252 |
transform = new StringsToUpperTransform();
|
|
1253 |
transform.setFeatureStore(store);
|
|
1154 |
transform = new StringsToUpperTransform(); |
|
1155 |
transform.setFeatureStore(store); |
|
1254 | 1156 |
|
1255 |
store.getTransforms().add(transform);
|
|
1157 |
store.getTransforms().add(transform); |
|
1256 | 1158 |
|
1257 |
fullStoreIteratorTest(store);
|
|
1159 |
fullStoreIteratorTest(store); |
|
1258 | 1160 |
|
1259 |
set = store.getFeatureSet();
|
|
1260 |
set1 = store1.getFeatureSet();
|
|
1261 |
ntimes = getRandom().nextInt(3) + 1;
|
|
1262 |
for (i = 0; i < ntimes; i++) {
|
|
1263 |
if (getRandom().nextBoolean()) {
|
|
1264 |
iter = set.fastIterator();
|
|
1265 |
} else {
|
|
1266 |
iter = set.iterator();
|
|
1267 |
}
|
|
1268 |
if (getRandom().nextBoolean()) {
|
|
1269 |
iter1 = set1.fastIterator();
|
|
1270 |
} else {
|
|
1271 |
iter1 = set1.iterator();
|
|
1272 |
}
|
|
1273 |
while (iter.hasNext()) {
|
|
1274 |
feature = (Feature) iter.next();
|
|
1275 |
feature1 = (Feature) iter1.next();
|
|
1161 |
set = store.getFeatureSet(); |
|
1162 |
set1 = store1.getFeatureSet(); |
|
1163 |
ntimes = getRandom().nextInt(3) + 1; |
|
1164 |
for (i = 0; i < ntimes; i++) { |
|
1165 |
if (getRandom().nextBoolean()) { |
|
1166 |
iter = set.fastIterator(); |
|
1167 |
} else { |
|
1168 |
iter = set.iterator(); |
|
1169 |
} |
|
1170 |
if (getRandom().nextBoolean()) { |
|
1171 |
iter1 = set1.fastIterator(); |
|
1172 |
} else { |
|
1173 |
iter1 = set1.iterator(); |
|
1174 |
} |
|
1175 |
while (iter.hasNext()) { |
|
1176 |
feature = (Feature) iter.next(); |
|
1177 |
feature1 = (Feature) iter1.next(); |
|
1276 | 1178 |
|
1277 |
iterAttr = set.getDefaultFeatureType().iterator(); |
|
1278 |
while (iterAttr.hasNext()) { |
|
1279 |
attr = (FeatureAttributeDescriptor) iterAttr.next(); |
|
1280 |
v1 = feature.get(attr.getIndex()); |
|
1281 |
v2 = feature1.get(attr.getIndex()); |
|
1282 |
if (attr.getDataType() == DataTypes.STRING) { |
|
1283 |
if (v1 != null) { |
|
1284 |
v1 = ((String) v1).toUpperCase(); |
|
1285 |
} |
|
1286 |
|
|
1179 |
iterAttr = set.getDefaultFeatureType().iterator(); |
|
1180 |
while (iterAttr.hasNext()) { |
|
1181 |
attr = (FeatureAttributeDescriptor) iterAttr.next(); |
|
1182 |
v1 = feature.get(attr.getIndex()); |
|
1183 |
v2 = feature1.get(attr.getIndex()); |
|
1184 |
if (attr.getDataType() == DataTypes.STRING) { |
|
1185 |
if (v1 != null) { |
|
1186 |
v1 = ((String) v1).toUpperCase(); |
|
1287 | 1187 |
} |
1288 |
compareFeatureValue(v1, v2, attr); |
|
1188 |
|
|
1289 | 1189 |
} |
1190 |
compareFeatureValue(v1, v2, attr); |
|
1290 | 1191 |
} |
1291 |
assertFalse(iter1.hasNext()); |
|
1292 |
iter.dispose(); |
|
1293 |
iter1.dispose(); |
|
1294 | 1192 |
} |
1295 |
set.dispose(); |
|
1296 |
set1.dispose(); |
|
1193 |
assertFalse(iter1.hasNext()); |
|
1194 |
iter.dispose(); |
|
1195 |
iter1.dispose(); |
|
1196 |
} |
|
1197 |
set.dispose(); |
|
1198 |
set1.dispose(); |
|
1297 | 1199 |
|
1298 | 1200 |
|
1299 |
transform = new AddPrefixAttributeName("_");
|
|
1300 |
transform.setFeatureStore(store);
|
|
1201 |
transform = new AddPrefixAttributeName("_"); |
|
1202 |
transform.setFeatureStore(store); |
|
1301 | 1203 |
|
1302 |
store.getTransforms().add(transform);
|
|
1204 |
store.getTransforms().add(transform); |
|
1303 | 1205 |
|
1304 |
fullStoreIteratorTest(store);
|
|
1206 |
fullStoreIteratorTest(store); |
|
1305 | 1207 |
|
1306 |
set = store.getFeatureSet();
|
|
1307 |
set1 = store1.getFeatureSet();
|
|
1308 |
ntimes = getRandom().nextInt(3) + 1;
|
|
1309 |
for (i = 0; i < ntimes; i++) {
|
|
1310 |
if (getRandom().nextBoolean()) {
|
|
1311 |
iter = set.fastIterator();
|
|
1312 |
} else {
|
|
1313 |
iter = set.iterator();
|
|
1314 |
}
|
|
1315 |
if (getRandom().nextBoolean()) {
|
|
1316 |
iter1 = set1.fastIterator();
|
|
1317 |
} else {
|
|
1318 |
iter1 = set1.iterator();
|
|
1319 |
}
|
|
1320 |
while (iter.hasNext()) {
|
|
1321 |
feature = (Feature) iter.next();
|
|
1322 |
feature1 = (Feature) iter1.next();
|
|
1208 |
set = store.getFeatureSet(); |
|
1209 |
set1 = store1.getFeatureSet(); |
|
1210 |
ntimes = getRandom().nextInt(3) + 1; |
|
1211 |
for (i = 0; i < ntimes; i++) { |
|
1212 |
if (getRandom().nextBoolean()) { |
|
1213 |
iter = set.fastIterator(); |
|
1214 |
} else { |
|
1215 |
iter = set.iterator(); |
|
1216 |
} |
|
1217 |
if (getRandom().nextBoolean()) { |
|
1218 |
iter1 = set1.fastIterator(); |
|
1219 |
} else { |
|
1220 |
iter1 = set1.iterator(); |
|
1221 |
} |
|
1222 |
while (iter.hasNext()) { |
|
1223 |
feature = (Feature) iter.next(); |
|
1224 |
feature1 = (Feature) iter1.next(); |
|
1323 | 1225 |
|
1324 |
iterAttr = set1.getDefaultFeatureType().iterator(); |
|
1325 |
while (iterAttr.hasNext()) { |
|
1326 |
attr = (FeatureAttributeDescriptor) iterAttr.next(); |
|
1327 |
v1 = feature.get("_" + attr.getName()); |
|
1328 |
v2 = feature1.get(attr.getIndex()); |
|
1329 |
if (attr.getDataType() == DataTypes.STRING) { |
|
1330 |
if (v1 != null) { |
|
1331 |
v1 = ((String) v1).toUpperCase(); |
|
1332 |
} |
|
1333 |
|
|
1226 |
iterAttr = set1.getDefaultFeatureType().iterator(); |
|
1227 |
while (iterAttr.hasNext()) { |
|
1228 |
attr = (FeatureAttributeDescriptor) iterAttr.next(); |
|
1229 |
v1 = feature.get("_" + attr.getName()); |
|
1230 |
v2 = feature1.get(attr.getIndex()); |
|
1231 |
if (attr.getDataType() == DataTypes.STRING) { |
|
1232 |
if (v1 != null) { |
|
1233 |
v1 = ((String) v1).toUpperCase(); |
|
1334 | 1234 |
} |
1335 |
compareFeatureValue(v1, v2, attr); |
|
1235 |
|
|
1336 | 1236 |
} |
1237 |
compareFeatureValue(v1, v2, attr); |
|
1337 | 1238 |
} |
1338 |
assertFalse(iter1.hasNext()); |
|
1339 |
iter.dispose(); |
|
1340 |
iter1.dispose(); |
|
1341 | 1239 |
} |
1342 |
set.dispose(); |
|
1343 |
set1.dispose(); |
|
1240 |
assertFalse(iter1.hasNext()); |
|
1241 |
iter.dispose(); |
|
1242 |
iter1.dispose(); |
|
1243 |
} |
|
1244 |
set.dispose(); |
|
1245 |
set1.dispose(); |
|
1344 | 1246 |
|
1345 |
transform = new AddAttribute("__new__", DataTypes.STRING, "$$OK$$", |
|
1346 |
10); |
|
1347 |
transform.setFeatureStore(store); |
|
1247 |
transform = new AddAttribute("__new__", DataTypes.STRING, "$$OK$$", 10); |
|
1248 |
transform.setFeatureStore(store); |
|
1348 | 1249 |
|
1349 |
store.getTransforms().add(transform);
|
|
1250 |
store.getTransforms().add(transform); |
|
1350 | 1251 |
|
1351 |
fullStoreIteratorTest(store);
|
|
1252 |
fullStoreIteratorTest(store); |
|
1352 | 1253 |
|
1353 |
set = store.getFeatureSet();
|
|
1354 |
set1 = store1.getFeatureSet();
|
|
1355 |
ntimes = getRandom().nextInt(3) + 1;
|
|
1356 |
for (i = 0; i < ntimes; i++) {
|
|
1357 |
if (getRandom().nextBoolean()) {
|
|
1358 |
iter = set.fastIterator();
|
|
1359 |
} else {
|
|
1360 |
iter = set.iterator();
|
|
1361 |
}
|
|
1362 |
if (getRandom().nextBoolean()) {
|
|
1363 |
iter1 = set1.fastIterator();
|
|
1364 |
} else {
|
|
1365 |
iter1 = set1.iterator();
|
|
1366 |
}
|
|
1367 |
while (iter.hasNext()) {
|
|
1368 |
feature = (Feature) iter.next();
|
|
1369 |
feature1 = (Feature) iter1.next();
|
|
1254 |
set = store.getFeatureSet(); |
|
1255 |
set1 = store1.getFeatureSet(); |
|
1256 |
ntimes = getRandom().nextInt(3) + 1; |
|
1257 |
for (i = 0; i < ntimes; i++) { |
|
1258 |
if (getRandom().nextBoolean()) { |
|
1259 |
iter = set.fastIterator(); |
|
1260 |
} else { |
|
1261 |
iter = set.iterator(); |
|
1262 |
} |
|
1263 |
if (getRandom().nextBoolean()) { |
|
1264 |
iter1 = set1.fastIterator(); |
|
1265 |
} else { |
|
1266 |
iter1 = set1.iterator(); |
|
1267 |
} |
|
1268 |
while (iter.hasNext()) { |
|
1269 |
feature = (Feature) iter.next(); |
|
1270 |
feature1 = (Feature) iter1.next(); |
|
1370 | 1271 |
|
1371 |
iterAttr = set1.getDefaultFeatureType().iterator(); |
|
1372 |
while (iterAttr.hasNext()) { |
|
1373 |
attr = (FeatureAttributeDescriptor) iterAttr.next(); |
|
1374 |
v1 = feature.get("_" + attr.getName()); |
|
1375 |
v2 = feature1.get(attr.getIndex()); |
|
1376 |
if (attr.getDataType() == DataTypes.STRING) { |
|
1377 |
if (v1 != null) { |
|
1378 |
v1 = ((String) v1).toUpperCase(); |
|
1379 |
} |
|
1380 |
|
|
1272 |
iterAttr = set1.getDefaultFeatureType().iterator(); |
|
1273 |
while (iterAttr.hasNext()) { |
|
1274 |
attr = (FeatureAttributeDescriptor) iterAttr.next(); |
|
1275 |
v1 = feature.get("_" + attr.getName()); |
|
1276 |
v2 = feature1.get(attr.getIndex()); |
|
1277 |
if (attr.getDataType() == DataTypes.STRING) { |
|
1278 |
if (v1 != null) { |
|
1279 |
v1 = ((String) v1).toUpperCase(); |
|
1381 | 1280 |
} |
1382 |
compareFeatureValue(v1, v2, attr); |
|
1281 |
|
|
1383 | 1282 |
} |
1384 |
compareFeatureValue(feature.get("__new__"), "$$OK$$", set1 |
|
1385 |
.getDefaultFeatureType().getAttributeDescriptor( |
|
1386 |
"__new__")); |
|
1283 |
compareFeatureValue(v1, v2, attr); |
|
1387 | 1284 |
} |
1388 |
assertFalse(iter1.hasNext());
|
|
1389 |
iter.dispose();
|
|
1390 |
iter1.dispose();
|
|
1285 |
compareFeatureValue(feature.get("__new__"), "$$OK$$", set1
|
|
1286 |
.getDefaultFeatureType().getAttributeDescriptor(
|
|
1287 |
"__new__"));
|
|
1391 | 1288 |
} |
1392 |
set.dispose(); |
|
1393 |
set1.dispose(); |
|
1289 |
assertFalse(iter1.hasNext()); |
|
1290 |
iter.dispose(); |
|
1291 |
iter1.dispose(); |
|
1292 |
} |
|
1293 |
set.dispose(); |
|
1294 |
set1.dispose(); |
|
1394 | 1295 |
|
1395 | 1296 |
|
1396 |
transform = new RemoveAttribute("__new__");
|
|
1397 |
transform.setFeatureStore(store);
|
|
1297 |
transform = new RemoveAttribute("__new__"); |
|
1298 |
transform.setFeatureStore(store); |
|
1398 | 1299 |
|
1399 |
store.getTransforms().add(transform);
|
|
1300 |
store.getTransforms().add(transform); |
|
1400 | 1301 |
|
1401 |
fullStoreIteratorTest(store);
|
|
1302 |
fullStoreIteratorTest(store); |
|
1402 | 1303 |
|
1403 |
set = store.getFeatureSet();
|
|
1404 |
set1 = store1.getFeatureSet();
|
|
1405 |
ntimes = getRandom().nextInt(3) + 1;
|
|
1406 |
for (i = 0; i < ntimes; i++) {
|
|
1407 |
if (getRandom().nextBoolean()) {
|
|
1408 |
iter = set.fastIterator();
|
|
1409 |
} else {
|
|
1410 |
iter = set.iterator();
|
|
1411 |
}
|
|
1412 |
if (getRandom().nextBoolean()) {
|
|
1413 |
iter1 = set1.fastIterator();
|
|
1414 |
} else {
|
|
1415 |
iter1 = set1.iterator();
|
|
1416 |
}
|
|
1417 |
while (iter.hasNext()) {
|
|
1418 |
feature = (Feature) iter.next();
|
|
1419 |
feature1 = (Feature) iter1.next();
|
|
1304 |
set = store.getFeatureSet(); |
|
1305 |
set1 = store1.getFeatureSet(); |
|
1306 |
ntimes = getRandom().nextInt(3) + 1; |
|
1307 |
for (i = 0; i < ntimes; i++) { |
|
1308 |
if (getRandom().nextBoolean()) { |
|
1309 |
iter = set.fastIterator(); |
|
1310 |
} else { |
|
1311 |
iter = set.iterator(); |
|
1312 |
} |
|
1313 |
if (getRandom().nextBoolean()) { |
|
1314 |
iter1 = set1.fastIterator(); |
|
1315 |
} else { |
|
1316 |
iter1 = set1.iterator(); |
|
1317 |
} |
|
1318 |
while (iter.hasNext()) { |
|
1319 |
feature = (Feature) iter.next(); |
|
1320 |
feature1 = (Feature) iter1.next(); |
|
1420 | 1321 |
|
1421 |
iterAttr = set1.getDefaultFeatureType().iterator(); |
|
1422 |
while (iterAttr.hasNext()) { |
|
1423 |
attr = (FeatureAttributeDescriptor) iterAttr.next(); |
|
1424 |
v1 = feature.get("_" + attr.getName()); |
|
1425 |
v2 = feature1.get(attr.getIndex()); |
|
1426 |
if (attr.getDataType() == DataTypes.STRING) { |
|
1427 |
if (v1 != null) { |
|
1428 |
v1 = ((String) v1).toUpperCase(); |
|
1429 |
} |
|
1430 |
|
|
1322 |
iterAttr = set1.getDefaultFeatureType().iterator(); |
|
1323 |
while (iterAttr.hasNext()) { |
|
1324 |
attr = (FeatureAttributeDescriptor) iterAttr.next(); |
|
1325 |
v1 = feature.get("_" + attr.getName()); |
|
1326 |
v2 = feature1.get(attr.getIndex()); |
|
1327 |
if (attr.getDataType() == DataTypes.STRING) { |
|
1328 |
if (v1 != null) { |
|
1329 |
v1 = ((String) v1).toUpperCase(); |
|
1431 | 1330 |
} |
1432 |
compareFeatureValue(v1, v2, attr); |
|
1331 |
|
|
1433 | 1332 |
} |
1434 |
assertNull(feature.getType().getAttributeDescriptor( |
|
1435 |
"__new__")); |
|
1333 |
compareFeatureValue(v1, v2, attr); |
|
1436 | 1334 |
} |
1437 |
assertFalse(iter1.hasNext()); |
|
1438 |
iter.dispose(); |
|
1439 |
iter1.dispose(); |
|
1335 |
assertNull(feature.getType().getAttributeDescriptor("__new__")); |
|
1440 | 1336 |
} |
1441 |
set.dispose(); |
|
1442 |
set1.dispose(); |
|
1337 |
assertFalse(iter1.hasNext()); |
|
1338 |
iter.dispose(); |
|
1339 |
iter1.dispose(); |
|
1340 |
} |
|
1341 |
set.dispose(); |
|
1342 |
set1.dispose(); |
|
1443 | 1343 |
|
1444 |
store.getTransforms().clear();
|
|
1344 |
store.getTransforms().clear(); |
|
1445 | 1345 |
|
1446 |
compareStores(store, store1);
|
|
1346 |
compareStores(store, store1); |
|
1447 | 1347 |
|
1448 | 1348 |
|
1449 |
store.dispose(); |
|
1450 |
store1.dispose(); |
|
1451 |
} catch (DataException e3) { |
|
1452 |
e3.printStackTrace(); |
|
1453 |
fail(); |
|
1454 |
return; |
|
1455 |
} |
|
1349 |
store.dispose(); |
|
1350 |
store1.dispose(); |
|
1456 | 1351 |
} |
1457 | 1352 |
|
1458 | 1353 |
abstract class myTransform implements FeatureStoreTransform { |
... | ... | |
1895 | 1790 |
} |
1896 | 1791 |
|
1897 | 1792 |
|
1898 |
public void testFeatureReference() { |
|
1793 |
public void testFeatureReference() throws Exception { |
|
1794 |
DataStoreParameters dbfParameters = this |
|
1795 |
.getDefaultDataStoreParameters(); |
|
1899 | 1796 |
|
1900 |
try { |
|
1901 |
DataStoreParameters dbfParameters = this |
|
1902 |
.getDefaultDataStoreParameters(); |
|
1797 |
FeatureStore store = (FeatureStore) dataManager |
|
1798 |
.createStore(dbfParameters); |
|
1903 | 1799 |
|
1904 |
FeatureStore store = (FeatureStore) dataManager |
|
1905 |
.createStore(dbfParameters); |
|
1800 |
Feature feature, refered; |
|
1801 |
FeatureSet set; |
|
1802 |
int nTimes2 = getRandom().nextInt(2) + 1; |
|
1906 | 1803 |
|
1907 |
Feature feature, refered;
|
|
1908 |
FeatureSet set;
|
|
1909 |
int nTimes2 = getRandom().nextInt(2) + 1;
|
|
1804 |
for (int j = 0; j < nTimes2; j++) {
|
|
1805 |
set = store.getFeatureSet();
|
|
1806 |
DisposableIterator iter;
|
|
1910 | 1807 |
|
1911 |
for (int j = 0; j < nTimes2; j++) { |
|
1912 |
set = store.getFeatureSet(); |
|
1913 |
DisposableIterator iter; |
|
1914 |
|
|
1915 |
int nTimes = getRandom().nextInt(2) + 3; |
|
1916 |
for (int i = 0; i < nTimes; i++) { |
|
1917 |
if (getRandom().nextBoolean()) { |
|
1918 |
iter = set.fastIterator(); |
|
1919 |
} else { |
|
1920 |
iter = set.fastIterator(); |
|
1921 |
} |
|
1922 |
while (iter.hasNext()) { |
|
1923 |
feature = (Feature) iter.next(); |
|
1924 |
refered = feature.getReference().getFeature(); |
|
1925 |
compareFeatures(feature, refered); |
|
1926 |
} |
|
1927 |
iter.dispose(); |
|
1808 |
int nTimes = getRandom().nextInt(2) + 3; |
|
1809 |
for (int i = 0; i < nTimes; i++) { |
|
1810 |
if (getRandom().nextBoolean()) { |
|
1811 |
iter = set.fastIterator(); |
|
1812 |
} else { |
|
1813 |
iter = set.fastIterator(); |
|
1928 | 1814 |
} |
1929 |
|
|
1930 |
set.dispose(); |
|
1815 |
while (iter.hasNext()) { |
|
1816 |
feature = (Feature) iter.next(); |
|
1817 |
refered = feature.getReference().getFeature(); |
|
1818 |
compareFeatures(feature, refered); |
|
1819 |
} |
|
1820 |
iter.dispose(); |
|
1931 | 1821 |
} |
1932 | 1822 |
|
1933 |
nTimes2 = getRandom().nextInt(5) + 2;
|
|
1934 |
FeatureQuery query = store.createFeatureQuery();
|
|
1823 |
set.dispose();
|
|
1824 |
}
|
|
1935 | 1825 |
|
1936 |
for (int j = 0; j < nTimes2; j++) {
|
|
1937 |
DisposableIterator iter;
|
|
1826 |
nTimes2 = getRandom().nextInt(5) + 2;
|
|
1827 |
FeatureQuery query = store.createFeatureQuery();
|
|
1938 | 1828 |
|
1939 |
query.setAttributeNames(getRandomAttibuteList(store |
|
1940 |
.getDefaultFeatureType())); |
|
1941 |
set = store.getFeatureSet(query); |
|
1829 |
for (int j = 0; j < nTimes2; j++) { |
|
1830 |
DisposableIterator iter; |
|
1942 | 1831 |
|
1943 |
int nTimes = getRandom().nextInt(3) + 3; |
|
1944 |
for (int i = 0; i < nTimes; i++) { |
|
1945 |
if (getRandom().nextBoolean()) { |
|
1946 |
iter = set.fastIterator(); |
|
1947 |
} else { |
|
1948 |
iter = set.fastIterator(); |
|
1949 |
} |
|
1950 |
while (iter.hasNext()) { |
|
1951 |
feature = (Feature) iter.next(); |
|
1952 |
refered = feature.getReference().getFeature( |
|
1953 |
set.getDefaultFeatureType()); |
|
1954 |
compareFeatures(feature, refered); |
|
1955 |
} |
|
1956 |
iter.dispose(); |
|
1957 |
} |
|
1832 |
query.setAttributeNames(getRandomAttibuteList(store |
|
1833 |
.getDefaultFeatureType())); |
|
1834 |
set = store.getFeatureSet(query); |
|
1958 | 1835 |
|
1959 |
set.dispose(); |
|
1836 |
int nTimes = getRandom().nextInt(3) + 3; |
|
1837 |
for (int i = 0; i < nTimes; i++) { |
|
1838 |
if (getRandom().nextBoolean()) { |
|
1839 |
iter = set.fastIterator(); |
|
1840 |
} else { |
|
1841 |
iter = set.fastIterator(); |
|
1842 |
} |
|
1843 |
while (iter.hasNext()) { |
|
1844 |
feature = (Feature) iter.next(); |
|
1845 |
refered = feature.getReference().getFeature( |
|
1846 |
set.getDefaultFeatureType()); |
|
1847 |
compareFeatures(feature, refered); |
|
1848 |
} |
|
1849 |
iter.dispose(); |
|
1960 | 1850 |
} |
1961 | 1851 |
|
1852 |
set.dispose(); |
|
1853 |
} |
|
1962 | 1854 |
|
1963 | 1855 |
|
1964 |
store.dispose(); |
|
1965 |
} catch (DataException e3) { |
|
1966 |
e3.printStackTrace(); |
|
1967 |
fail(); |
|
1968 |
return; |
|
1969 |
} |
|
1970 | 1856 |
|
1857 |
store.dispose(); |
|
1858 |
|
|
1971 | 1859 |
} |
1972 | 1860 |
} |
Also available in: Unified diff