A couple of things would help us help you....
1> tell us what you're trying to do. What's the point of your code?
Offhand, I can't tell what it is you're really after.
2> post an example of query.toString(); along with your sample
for one of the offending queries.
3> Post the query string itself from above.
TooManyClauses really means that the underlying expansion
of the query finds more than the limit (1024 by default) that
match your wildcard. For instance, s* would match
s, sat, sent, sight, s...... So this expansion would barf if your
index contains more than 1024 (or whatever) terms that start
with 's'. And you're compounding your problem by adding multiple
clauses that are single-letter wildcards.
I suspect (going back to <1>) that people would have better
suggestions if you outlined your purpose....
Best
Erick
On 7/4/07, emmettwalsh <[EMAIL PROTECTED]> wrote:
Hi,
:
: lucene documentation seems to be very confusing... here is my
predicament
:
: I have an object like the following:
:
: public class PropertyImpl implements Property {
:
: String id;
:
: List<String> names = new ArrayList<String>();
:
: String address = "";
:
: String city = "";
:
: String street = "";
:
: String state = "";
:
: String cachedMatchingString;
:
: ...
:
: ..
: public String toString() {
: // save some time
: if (cachedMatchingString == null) {
:
: StringBuffer buf = new StringBuffer();
:
: for (String name : names) {
: //buf.append(name + ",");
: buf.append(name + " ");
: }
:
: if (address != null) {
: //buf.append(address + ",");
: buf.append(address + " ");
: }
: if (city != null) {
: //buf.append(city + ",");
: buf.append(city + " ");
: }
: if (street != null) {
: //buf.append(street + ",");
: buf.append(street + " ");
: }
: if (state != null) {
: //buf.append(state);
: buf.append(state);
: }
:
: // get rid of any spaces
: //cachedMatchingString = buf.toString().replace(" ", "");
: cachedMatchingString = buf.toString();
: }
: return cachedMatchingString;
: }
:
:
: A typical instance of this object would have the following data
:
: id=123134
: names= {'Emmett Walsh', 'John Walsh'}
: address="Milltown."
: city="Dublin"
: street="Bankside Cottages"
: state="Ireland"
: cachedMatchingString="Emmett Walsh John Walsh Milltown Dublin Bankside
: Cottages Ireland"
:
:
:
: I have about 8000 of these objects which I store in a hashmap for direct
: access based on there id. It is the id(s) that I need lucene to return
to
me
: so that I can retireve the desired object(s) from the hashmap.
:
: The cachedMatchingString string is what I use when indexing the
information
: like following:
:
: e.g. so for each of the 8000 objects i do the following to build the
index
:
: idxWriter.addDocument(createDocument(prop));
:
:
: private static Document createDocument(Property prop) {
: Document doc = new Document();
:
: Field field = new Field("id", prop.getId(), Store.YES, Index.NO);
: doc.add(field);
:
: Field field2 = new Field("content", prop.toString(), Store.NO,
: Index.TOKENIZED); //will tokenise our long string
: doc.add(field2);
:
: return doc;
: }
:
:
:
: Searching
: I have a text field in my app that typically would take in a strings
like
:
: "Main s" , which
: would end up in a query like "Main AND s*" like follows
:
: "B", which would end up in a query like "b*"
:
: queryString = queryString.trim(); //the string
: taken in from textbox
:
:
: String[] strings = queryString.split(" ");
: int numStrings = strings.length;
:
: StringBuffer luceneQuery = new StringBuffer();
:
: for(int i=0;i<numStrings;i++){
: String aString = strings[i];
: if(aString.equals("")){
: continue;
: }
: luceneQuery.append(aString);
: if((i+1) != numStrings){
: luceneQuery.append(" AND ");
: }else{
: luceneQuery.append("*");
: }
: }
:
: //BooleanQuery.setMaxClauseCount(2*1024);
:
:
: QueryParser parser = new QueryParser("content",
: new StandardAnalyzer());
:
:
: org.apache.lucene.search.Query query =
: parser.parse(luceneQuery.toString());
:
: // Search for the query
: Hits hits = searcher.search(query);
:
:
: but i keep getting Toomanyclausesexceptions
:
: Any suggestions on how to index or search better ?
--
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