I am indexing the documents with Lucene and am trying to apply the SnowballAnalyzer forpunctuation and stopword removal from text .. I keep getting the following er开发者_如何转开发ror :(
Given: 1 database per client (business customer) 5000 clients Clients have between 2 to 2000 users(avg is ~100 users/client)
Is there a way to query a full text index to help determine additional noise words? I would like to add some custom noise words and wondered if theres a way to analyse the index to help开发者_JAVA百科
Currently we are saving files (PDF, DOC) into the database as BLOB fields.I would like to be able to retrieve the raw text of the file to be able to manipulate it for hit-highlighting and other functi
I have a database table which is full-text indexed and i use the CONTAINS-function to perform a search-query on it.
If the itemcount property does not exactly match the number of indexed rows is that a problem? Is there a numerical way I can ensure that I have a complete full-text-index?
I am trying to create an index on a VarBinary(max) field in my SQL Server 2008 database. The steps I am taking are as follows:
I\'ve been going through a bit of the lemur indexing tutorial here: http://www.lemurproject.org/tutorials/begin_indexing-开发者_C百科1.php
To the moment I know that compass may handle this work. But indexing with compass lo开发者_开发百科oks pretty expensive. Is there any lighter alternatives?To be honest, I don\'t know if Lucene will be
I have a sql full text catalog on a cms database (SQL 2005). The database holds the CMS page cont开发者_JAVA技巧ent within a ntext column which is part of the full text catalog.As expected the searchi
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