Contents
When to expect fuzzy searches in SQL Server?
When the database must find relevant material from search terms entered by users, the database must learn to expect, and deal with, both expected and unexpected When an application searches for specific text data, you can generally rely on it to get the search term right.
How does a full text search work in SQL Server?
The SQL Server process uses the following components for full-text search: User tables. These tables contain the data to be full-text indexed. Full-text gatherer. The full-text gatherer works with the full-text crawl threads.
Is there a fuzzy matching function in SQL Server?
I’ve found that the stuff SQL Server gives you to do fuzzy matching is pretty clunky. I’ve had really good luck with my own CLR functions using the Levenshtein distance algorithm and some weighting. Using that algorithm, I’ve then made a UDF called GetSimilarityScore that takes two strings and returns a score between 0.0 and 1.0.
What’s the best way to do a fuzzy search?
The best approach is to limit the search to strings that are two edit differences away; anything further is pretty pointless for finding similar strings because at three edit-differences away, they just aren’t similar!
Can a fuzzy search be done in a relational database?
A series of arguments with developers who insist that fuzzy searches or spell-checking be done within the application rather then a relational database inspired Phil Factor to show how it is done.
Do you need a reference table for a fuzzy lookup?
The reference data source must be a table in a SQL Server database. The match between the value in an input column and the value in the reference table can be an exact match or a fuzzy match. However, the transformation requires at least one column match to be configured for fuzzy matching.
What’s the difference between a lookup and a fuzzy lookup transformation?
The Fuzzy Lookup transformation differs from the Lookup transformation in its use of fuzzy matching. The Lookup transformation uses an equi-join to locate matching records in the reference table.