Revision 25747 branches/v2_0_0_prep/libraries/libFMap_dal/src/org/gvsig/fmap/dal/feature/impl/DefaultFeatureIndexes.java

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DefaultFeatureIndexes.java
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import org.gvsig.fmap.dal.exception.DataException;
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import org.gvsig.fmap.dal.feature.FeatureIndex;
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import org.gvsig.fmap.dal.feature.FeatureIndexes;
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import org.gvsig.fmap.dal.feature.FeatureSet;
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import org.gvsig.fmap.dal.feature.exception.FeatureIndexException;
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import org.gvsig.fmap.dal.feature.spi.FeatureSetProvider;
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import org.gvsig.fmap.dal.feature.spi.index.FeatureIndexProviderServices;
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import org.gvsig.tools.evaluator.Evaluator;
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import org.gvsig.tools.evaluator.EvaluatorFieldValue;
......
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	 * returns null
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	 *
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	 * @param evaluator
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	 * @return FeatureSetProvider or null if could not find any appropriate
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	 * @return FeatureSet or null if could not find any appropriate
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	 *         index.
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	 *
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	 */
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	public FeatureSetProvider getFeatureSet(Evaluator evaluator) {
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	public FeatureSet getFeatureSet(Evaluator evaluator) {
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		class ApplyIndex {


  		




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			DefaultFeatureIndex index;


  		




  ......




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			 * @return FeatureSet with the result


  		




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			 * @throws FeatureIndexException


  		




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			 */


  		




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			FeatureSetProvider apply() throws FeatureIndexException {


  		




  
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			IndexFeatureSet apply() throws FeatureIndexException {


  		




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				// Trick: we know DefaultIndexProvider returns an IndexFeatureSet, 


  		




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				// which implements both FeatureSetProvider and FeatureSet.


  		




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				switch (data[0].getType()) {


  		




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				case EvaluatorFieldValue.MATCH:


  		




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					return (FeatureSetProvider) index.getMatchFeatureSet(


  		




  
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					return (IndexFeatureSet) index.getMatchFeatureSet(


  		




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							data[0].getValue());


  		




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				case EvaluatorFieldValue.RANGE:


  		




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					return (FeatureSetProvider) index.getRangeFeatureSet(


  		




  
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					return (IndexFeatureSet) index.getRangeFeatureSet(


  		




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							data[0].getValue1(), data[0].getValue2());


  		




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				case EvaluatorFieldValue.NEAREST:


  		




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					if ((data[0].getTolerance() == -1) || (!isSupported())) {


  		




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						return (FeatureSetProvider) index.getNearestFeatureSet(data[0].getCount(),


  		




  
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						return (IndexFeatureSet) index.getNearestFeatureSet(data[0].getCount(),


  		




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										data[0].getValue());


  		




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					} else {


  		




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						return (FeatureSetProvider) index.getNearestFeatureSet(data[0].getCount(),


  		




  
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						return (IndexFeatureSet) index.getNearestFeatureSet(data[0].getCount(),


  		




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										data[0].getValue(),


  		




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										data[0].getTolerance());


  		




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					}


  		












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