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Full Text Search

Full Text Search. Some Info. An optional component Much faster and complex than the previous version Allow you to search for words and tokens in binary, char, nchar, varchar, nvarchar. XML, image, text, and varbinary It build indexes on these columns

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Full Text Search

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  1. Full Text Search

  2. Some Info • An optional component • Much faster and complex than the previous version • Allow you to search for words and tokens in binary, char, nchar, varchar, nvarchar. XML, image, text, and varbinary • It build indexes on these columns • Select * from Authors where contains(bio, ‘Oregon’); Not • Select * from Authors where bio like ‘%Oregon%’

  3. Comparing with Like • Full-text search • Is magnitude faster • Can search other data types than text • Can use language features such as searching for ‘take’ gives you ‘took’, takes, and taken as well • However, like can • Search middle of a word,  like ‘&puter’ • Search for sequence  like ‘ab[c,d][1-9]%’ • Faster than full text search with nonclustered index, if you search the entire column or beginning of the column

  4. Few new features • 48 languages • Noise lists, or Stop Words, (of, the, a etc.) • Failover support on mirrored database • Dynamic Management View supports troubleshoot • … …(see page 204)

  5. Architecture • Three key elements • Indexing • Searching • Filter • The column is index per words in the column, not the entire content of a record’s column • Searching uses the indexes • A filter is used if the column is not texted • For example, a XML filter is used for XML data, a MS Word filter is used for MS Word data, etc

  6. Word Breaker • A tool determine how to break words from sentences • For example, FBI will match with F.B.I, but not for fbi. • For example, UK word breaker will understand realise, realising, and realised; while the US breaker will understand realize, realizing, and realized

  7. Search • Contains – more exact matches • FreeText – matches other forms mouse + mice • ContainsTable/FreeTextTable – returns results for ranking • Contains can be more powerful combining with FormsOf, Near, boolean operations, weighted, or * (a wildcard operator)

  8. Hands on • First create the category • Then create indexes • Use the wizards

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