On Nov 12, 2009, at 8:55 AM, Rakhi Khatwani wrote: > Hi, > I am using solr 1.3 and i hv inserted some data in my comment > field. > for example: > > for document1: > <str name="comment"> > The iPhone 3GS finally adds common cell phone features like multimedia > messaging, video recording, and voice dialing. It runs faster; its promised > battery life is longer; and the multimedia quality continues to shine. > > > The iPhone 3GS' call quality shows no improvements and the 3G signal > reception remains uneven. We still don't get Flash Lite, USB transfer and > storage, or multitasking. > </str> > > > for document2: > <str name="comment"> > Sony Ericsson c510 has 3.2MP cybershot camera with smile detectino. Amazing > phone, faster than Sony Ericsson w580iSony Ericcsion w580i camera is only > 2MP with no autofocus and smile detection. it doesnot even have a flash > leading to poor quality pictures > </str> > > A] > > now when i apply the following queries, i get 0 hits: > 1.comment:iph*e > 2.comment:iph?ne
What field type are you using? This is in your schema.xml > > B] Can i apply range queries on part of the content? > > C] Can i apply more the one wildcard in a query?? for example comment:ip*h* > (this command works but its equivalent to just using 1ipho*) Yes. > > D] for fuzzy queries: > content:iphone~0.7 returns both the documents. > content:iphone~0.8 returns no documents (similarly for 0.9). > The fuzz factor there incorporates the edit distance. I gather the first Sony doc has a match on phone and the score is between 0.7 and 0.8. You can add &debugQuery=true to see the explains. > However if i change it to iPhone, > content:iPhone~0.7 returns 0 documents > content:iPhone~0.5 returns both the documents. > > Is fuzzy search case sensitive? even if it is, why am i not able to retrieve > unexpected results. Again, this all comes back to how you analyze the documents based on what Field Type you are using? -------------------------- Grant Ingersoll http://www.lucidimagination.com/ Search the Lucene ecosystem (Lucene/Solr/Nutch/Mahout/Tika/Droids) using Solr/Lucene: http://www.lucidimagination.com/search
