German, What I need is similar to the your site http://listados.deremate.com.ar/panaderia . I have many results of search, but I show any result (for example: first 10 for first page) , but for create the options of filter of location I need read all results fof search. The problem of performance is when I have 30.000 results.
How you get the filter the "ubication" ? You need read all results ? thanks On Nov 19, 2007 12:05 PM, Grant Ingersoll <[EMAIL PROTECTED]> wrote: > I think, based on your previous question, that you just need to use > the search() method that returns TopDocs, not the lower-level > HitCollector method. From the TopDocs, you can then access the > ScoreDoc, which will give you info about the doc and the score. See > http://www.lucenebootcamp.com/LuceneBootCamp/training/src/test/java/com/lucenebootcamp/training/basic/TopDocsTest.java > from my Lucene Boot Camp training class for a really simple example. > > -Grant > > > On Nov 19, 2007, at 9:12 AM, Haroldo Nascimento wrote: > > > Mark, > > > > How I can get the information of Document. I think that is in the > > implementation do method abstract collect. How I can get it . > > > > Below is the example of javadoc the Lucene. > > > > Searcher searcher = new IndexSearcher(indexReader); > > final BitSet bits = new BitSet(indexReader.maxDoc()); > > searcher.search(query, new HitCollector() { > > public void collect(int doc, float score) { > > bits.set(doc); > > } > > }); > > > > Thanks > > > > > > On Nov 18, 2007 8:09 PM, Mark Miller <[EMAIL PROTECTED]> wrote: > >> Hey Haroldo. > >> > >> First thing you need to do is *stop* using Hits in your searches. > >> Hits > >> is optimized for some pretty specific use cases and you will get > >> along > >> much better by using a HitCollector. > >> > >> Hits has three main functions: > >> > >> It caches documents, normalizes scores, and stores ids associated > >> with > >> scores (a HitDoc). If you attempt to retrieve a HitDoc past the first > >> 100 from Hits, a new search will be issued to grab double the > >> required > >> HitDocs needed to satisfy your HitDoc retrieval attempt. This will be > >> repeated everytime you ask for a HitDoc beyond the current cache > >> (which > >> began at 100). This means that if you need to get a HitDoc beyond > >> 100, > >> Hits is not a great choice for you. You will want to use the > >> HitCollector instead...but remember that you are losing the > >> normalized > >> scores (simple to copy code if you still want it) and the document > >> caching (I rarely want that anyway). > >> > >> An issue to watch out for: with Hits, you do not have to ask for how > >> many docs to get back, but with a HitCollector solution you will need > >> to. This is a minor dilema if you want to go over all of the hits no > >> matter what. You can pass a huge number to ensure you get everything, > >> but you will be creating large data structures if you do this, as > >> structure sizes may be initialized by the number you pass. Also, > >> passing > >> the maximum integer will cause an error (negative init size) as > >> Lucene > >> initializes a data structure to hold the hits as n+1. > >> > >> - Mark > >> > >> > >> Haroldo Nascimento wrote: > >>> I have a problem of performance when I need group the result do > >>> search > >>> > >>> I have the code below: > >>> > >>> for (int i = 0; i < hits.length(); i++) { > >>> doc = hits.doc(i); > >>> > >>> obj1 = doc.get(Constants.STATE_DESC_FIELD_LABEL); > >>> obj2 = doc.get(xxx); > >>> ... > >>> } > >>> > >>> I work with volume of data very big. The search process in 0.300 > >>> seconds but when the object hits have much results, the time for get > >>> all objects is very big. The command hits.doc(i) is processed in 2 > >>> second. > >>> > >>> Por exemplo. For hits.length() equals the 25.000 results, the time > >>> of "pos search" is 7 seconds. > >>> > >>> I get all result because I need group the result (remove the > >>> duplicate results). > >>> > >>> Is there any form in Lucene that group the result. I need of > >>> anything as the command "group by" of sql. > >>> > >>> Thanks. > >>> > >> > >>> --------------------------------------------------------------------- > >>> To unsubscribe, e-mail: [EMAIL PROTECTED] > >>> For additional commands, e-mail: [EMAIL PROTECTED] > >>> > >>> > >>> > >> > >> --------------------------------------------------------------------- > >> To unsubscribe, e-mail: [EMAIL PROTECTED] > >> For additional commands, e-mail: [EMAIL PROTECTED] > >> > >> > > > > --------------------------------------------------------------------- > > To unsubscribe, e-mail: [EMAIL PROTECTED] > > For additional commands, e-mail: [EMAIL PROTECTED] > > > > -------------------------- > Grant Ingersoll > http://lucene.grantingersoll.com > > Lucene Helpful Hints: > http://wiki.apache.org/lucene-java/BasicsOfPerformance > http://wiki.apache.org/lucene-java/LuceneFAQ > > > > > > --------------------------------------------------------------------- > To unsubscribe, e-mail: [EMAIL PROTECTED] > For additional commands, e-mail: [EMAIL PROTECTED] > > --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
