![]() It's not there to search multiple fields. Full text search isn't there to do what you think it does. Sp_BlitzErik's answer hits on a lot of good points, but I don't think that's why you shouldn't use Full Text Search. Querying based on even a non-persisted column gives us a plan that 'uses indexes' and everything :) SELECT COUNT(*) WHEN StopAbusingFeatures LIKE '%Idea%' THEN 1ĬREATE UNIQUE NONCLUSTERED INDEX ix_whatever ON #fulltextindexesarestupid (LessBad, Id) SET StopAbusingFeatures = CASE WHEN Id % 15 = 0 THEN 'Bad'ĪDD LessBad AS CONVERT(BIT, CASE WHEN StopAbusingFeatures LIKE '%Bad%' THEN 1 SELECT TOP 1000000 ROW_NUMBER() OVER (ORDER BY sys.messages AS m Unless you're truly in need of indexing large documents (think email bodies, PDFs, Word docs, etc.), they're overkill (and if we're being honest, I'd take that process out of SQL Server entirely and use Elasticsearch or something similar).įor smaller use-cases, computed columns are generally a better approach.ĬREATE TABLE #fulltextindexesarestupid (Id INT PRIMARY KEY CLUSTERED, StopAbusingFeatures VARCHAR(100)) The query SELECT n IS NULL FROM table transforms to SELECT n.null FROM TABLE.Full text indexes generally aren't a magic bullet, and require additional maintenance, disk space, and fairly intrusive changes to query patterns. With optimize_functions_to_subcolumns = 1 the function reads only null subcolumn instead of reading and processing the whole column data.
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