Re: Slow Phrase Queries

2009-10-21 Thread DHast
that's what my use case has shown, but i havent done enough experimenting to know for sure. the reason the field is untokenized is because i need the full value of an authors name, example: "smith, jones", if it was tokenized and faceted it would be jones and another entry for smith. i am runni

Re: Slow Phrase Queries

2009-10-21 Thread Lance Norskog
Are you saying that faceting is faster on a tokenized field? Is this true? On Tue, Oct 20, 2009 at 2:02 PM, DHast wrote: ... , removing > that facet worked since the field was untokenizd and slow considering how > many values tehre were. ... > View this message in context: > http://www.nabble.c

Re: Slow Phrase Queries

2009-10-20 Thread DHast
ah, it turns out it was one of my 6 facets, the author. in the data pool tehre are over 1.9 million documents, and about 800,000 authors, removing that facet worked since the field was untokenizd and slow considering how many values tehre were. Solr is definitely faster, and as fast and or faste

Re: Slow Phrase Queries

2009-10-20 Thread Yonik Seeley
Solr just uses a stock lucene phrase query. What version of Lucene and Solr are you comparing? Do the queries match the same number of documents? -Yonik http://www.lucidimagination.com On Tue, Oct 20, 2009 at 2:18 PM, DHast wrote: > > Hello, > I have recently installed Solr as an alternative to

Re: Slow Phrase Queries

2009-10-20 Thread Tom Burton-West
You might try a couple tests in the Solr admin interface to make sure the query is being processed the same in both Solr and raw lucene. 1) use the analysis panel to determine if the Solr filter chain is doing something unexpected compared to your lucene filter chain 2) try running a debug query