Revision 3225
Added by Jing Tao over 17 years ago
| src/edu/ucsb/nceas/metacat/QueryGroup.java | ||
|---|---|---|
| 44 | 44 |
private String operator = null; // indicates how query terms are combined |
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private Vector children = null; // the list of query terms and groups |
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private int countPercentageSearchItem = 0; |
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private Vector queryTermsWithSameValue = null;//this two dimension vectors. |
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//will hold query terms which has same search value. |
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private Vector queryTerms = null;//this vector only holds query terms without same search value. |
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private static Logger logMetacat = Logger.getLogger(QueryGroup.class); |
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/** |
| ... | ... | |
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public QueryGroup(String operator) {
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this.operator = operator; |
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children = new Vector(); |
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queryTermsWithSameValue = new Vector(); |
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queryTerms = new Vector(); |
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} |
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/** |
| ... | ... | |
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*/ |
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public void addChild(QueryTerm qterm) {
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children.add((Object)qterm); |
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handleNewQueryTerms(qterm); |
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} |
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/** |
| ... | ... | |
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self.append(" )\n");
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return self.toString(); |
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} |
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/* |
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* When a new QueryTerm come, first we need to compare it to |
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* the queryTerm vector, which contains queryTerm that doesn't |
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* have same search value to any other queryTerm. Here is algorithm. |
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* 1) If new QueryTerm find a QueryTerm in queryTerms which has same search value, |
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* them create a new vector which contain both QueryTerms and add the new vector |
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* to two-dimention vector queryTermsWithSameValue, and remove the QueryTerm which |
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* was in queryTerm. |
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* 2) If new QueryTerm couldn't find a QueryTerm in queryTerms which has same search value, |
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* then search queryTermsWithSameValue, to see if this vector already has the search value. |
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* 2.1) if has the search value, add the new QueryTerm to the queryTermsWithSameValue. |
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* 2.2) if hasn't, add the new QueryTerm to queryTerms vector. |
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*/ |
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private void handleNewQueryTerms(QueryTerm newTerm) |
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{
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if (newTerm != null) |
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{
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for (int i=0; i<queryTerms.size(); i++) |
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{
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QueryTerm term = (QueryTerm)queryTerms.elementAt(i); |
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if (term != null && term.hasSameSearchValue(newTerm)) |
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{
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// find a target which has same search value |
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Vector newSameValueVector = new Vector(); |
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newSameValueVector.add(term); |
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newSameValueVector.addElement(newTerm); |
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queryTermsWithSameValue.add(newSameValueVector); |
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queryTerms.remove(i); |
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return; |
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} |
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} |
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// no same search value was found in queryTerms. |
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// then we need search queryTermsWithSameValue |
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for (int i=0; i<queryTermsWithSameValue.size(); i++) |
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{
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Vector sameValueVec = (Vector)queryTermsWithSameValue.elementAt(i); |
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// we only compare the first query term |
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QueryTerm term = (QueryTerm)sameValueVec.elementAt(0); |
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if (term != null && term.hasSameSearchValue(newTerm)) |
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{
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sameValueVec.add(newTerm); |
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return; |
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} |
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} |
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// both queryTerms and queryTermsWithSameValue don't have the search value, |
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// add this newTerm to queryTerms |
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queryTerms.add(newTerm); |
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} |
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} |
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} |
Also available in: Unified diff
Add new data structure and method to handle query terms which have same search value.