You might be talking about modifying the similarity object to modify scoring formula in Lucene!
$searcher->setSimilarity($similarity); $writer->setSimilarity($similarity); This can very well be done in Solr as SolrIndexWriter inherits from Lucene IndexWriter class. You might want to download the Solr Source code and take a look at the SolrIndexWriter to begin with! It's in the package - org.apache.solr.update Thanks Rajan On Wed, Sep 16, 2009 at 5:42 PM, Shashikant Kore <shashik...@gmail.com>wrote: > Thanks, Abhay. > > Can someone please throw light on how to disable scoring? > > --shashi > > On Wed, Sep 16, 2009 at 11:55 AM, abhay kumar <abhay...@gmail.com> wrote: > > Hi, > > > > 1)Solr has various type of caches . We can specify how many documents > cache > > can have at a time. > > e.g. if windowsize=50 > > 50 results will be cached in queryResult Cache. > > if user makes a new request to server for results after 50 > > documents a new request will be sent to the server & server will retrieve > > next 50 results in the cache. > > http://wiki.apache.org/solr/SolrCaching > > Yes, solr looks into the cache to retrieve the fields to be > returned. > > > > 2) Yes, we can have different tokenizers or filters for index & search. > We > > need not create a different fieldtype. We need to configure the same > > fieldtype (datatype) for index & search analyzers sections differently. > > > > e.g. > > > > <fieldType name="textSpell" class="solr.TextField" > > positionIncrementGap="100" stored="false" multiValued="true"> > > *<analyzer type="index">* > > <tokenizer class="solr.StandardTokenizerFactory"/> > > <filter class="solr.LowerCaseFilterFactory"/> > > > > <!--<filter class="solr.SynonymFilterFactory" > > synonyms="Synonyms.txt" ignoreCase="true" expand="false"/>--> > > <filter class="solr.StopFilterFactory" ignoreCase="true" > > words="stopwords.txt"/> > > <filter class="solr.StandardFilterFactory"/> > > <filter class="solr.RemoveDuplicatesTokenFilterFactory"/> > > </analyzer> > > * <analyzer type="query">* > > <tokenizer class="solr.StandardTokenizerFactory"/> > > <filter class="solr.LowerCaseFilterFactory"/> > > > > <filter class="solr.StandardFilterFactory"/> > > <filter class="solr.RemoveDuplicatesTokenFilterFactory"/> > > </analyzer> > > </fieldType> > > > > > > > > Regards, > > Abhay > > > > On Tue, Sep 15, 2009 at 6:41 PM, Shashikant Kore <shashik...@gmail.com > >wrote: > > > >> Hi, > >> > >> I am familiar with Lucene and trying out Solr. > >> > >> I have index which was created outside solr. The index is fairly > >> simple with two field - document_id & content. The query result needs > >> to return all the document IDs. The result need not be ordered by the > >> score. For this, in Lucene, I use custom hit collector with search to > >> get results quickly. The index has a few million documents and queries > >> returning hundreds of thousands of documents are not uncommon. So, the > >> speed is crucial here. > >> > >> Since retrieving the document_id for each document is slow, I am using > >> FileldCache to store the values of document_id. For all the results > >> collected (in a bitset) with hit collector, document_id field is > >> retrieved from the fieldcache. > >> > >> 1. How can I effectively disable scoring? I have read that > >> ConstantScoreQuery is quite fast, but from the code, I see that it is > >> used only for wildcard queries. How can I use ConstantScoreQuery for > >> all the queries (boolean, term, phrase, ..)? Also, is > >> ConstantScoreQuery as fast as a custom hit collector? > >> > >> 2. How can Solr take advantage of the fieldcache while returning the > >> field document_id? The documentation says, fieldcache can be > >> explicitly auto warmed with Solr. If fieldcache is available and > >> initialized at the beginning, will solr look into the cache to > >> retrieve the fields to be returned? > >> > >> 3. If there is an additional field for stemmed_content on which search > >> needs to use different analyzer, I suppose, that could be specified by > >> fieldType attribute in the schema. > >> > >> Thank you, > >> > >> --shashi > >> > > >
