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. 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-way-of-indexing-for-Better-performance-tp16092886p16092886.html Sent from the Solr - User mailing list archive at Nabble.com.
