Yerraguntla, Which approaches have you tried so far? You want a query for "walmart" to match a document that, in its original input form contains "wal mart"? It sounds like you may want to try the n-gram approach with one of the NGram analyzers/factories.
Otis -- Sematext -- http://sematext.com/ -- Lucene - Solr - Nutch ----- Original Message ---- From: Yerraguntla <[EMAIL PROTECTED]> To: solr-user@lucene.apache.org Sent: Tuesday, March 18, 2008 10:43:07 AM Subject: Smart Indexing for Better performance and functionality ?? Hi, I have the following use case. I could implement the solution but performance is affected. I need some smart ways of doing this. Use Case : Incoming data has two fields which have values like 'WAL MART STORES INC' and 'wal-mart-stores-inc'. Users can search the data either in 'walmart' 'wal mart' or 'wal-mart' also partially on any part of the name from the start of word like 'wal', 'walm' 'wal m' etc . I could get the solution by using two indexes, one as text field for the first field (wal mart ) column and sub word wal-mart-stores (with WordDelimiterFilterFactory filter). Is there a smart way of doing or any other techniques to boost the performance? I need to use them for a high traffic application where the response requirements are around 50 milli seconds. I have some control on modifying the incoming data and data set is around 100K records. Can someone suggest better ways of implementing. I can provide more information the tokens and filters I am using. Thanks Ravi -- View this message in context: http://www.nabble.com/Smart-Indexing-for-Better-performance-and-functionality----tp16121987p16121987.html Sent from the Solr - User mailing list archive at Nabble.com.
