# Calculating string difference values with the Levenshtein fuzzy string algorithm (part 2: implementation in t-sql).

**Posted:**24/10/2012

**Filed under:**.net, Algorithm, Sql Server, t-sql |

**Tags:**fuzzy, Levenshtein, sql server, string, t-sql 3 Comments

In this second post i will write about the Levenshtein algorithm and how to implement it in t-sql (in part 1 i have explained the implementation in c#). With this algorithm it is possible to compare two strings and calculate the a difference value of them. Lets asume that we have a table in a database with words in it.

Now if the user overtakes a word we want to suggest the words out of the table words that is the closest. So we need the Levenshtein algorithm to calculate the levenshtein difference between the overtaken word and all words in the table words. Then we take the words with the minimal levenshtein distance and give it the user to choose out of that words if he wants. For example if the user overtakes ‘lay’ the words with the minimal levenshtein distance are ‘lady’ and ‘lacy’. So this are the words we would suggest to the user. To acomplish that we need a function that overtakes the source and the target string and calculates the levenshtein distance.

CREATE FUNCTION dbo.CalculateLevenshteinValue(@source nvarchar(max), @target nvarchar(max)) RETURNS int BEGIN declare @sourceLength int, @targetLength int set @sourceLength = len(@source); set @targetLength = len(@target); declare @array table ( i int, j int, value int); declare @i int, @j int, @result int set @i = 0; set @j = 0; WHILE @i <= @sourceLength BEGIN insert @array( i, j, [value]) values( @i, 0, @i) SET @i = @i + 1; END WHILE @j <= @targetLength BEGIN insert @array ( i, j, [value]) values ( 0, @j, @j) SET @j = @j + 1; END set @i = 1; set @j = 1; declare @equal int, @minInsert int, @minDelete int, declare @minInterchange int, @equalValue int, @insertValue int declare @sourceChar nvarchar(1), @targetChar nvarchar(1) WHILE @i <= @sourceLength BEGIN WHILE @j <= @targetLength BEGIN SET @sourceChar = substring(@source, @i, 1); SET @targetChar = substring(@target, @j, 1); SET @equal = 2; if(@sourceChar = @targetChar) begin SET @equal = 0; end select @minInsert = value + 1 from @array a where a.i = @i - 1 and a.j = @j select @minDelete = value + 1 from @array a where a.i = @i and a.j = @j - 1 select @minInterchange = [value] + @equal from @array a where a.i = @i - 1 and a.j = @j - 1 select @insertValue = dbo.ScalarMinValue(dbo.ScalarMinValue(@minInsert, @minDelete), @minInterchange) insert @array ( i, j, [value]) values ( @i, @j, @insertValue) SET @j = @j + 1; END SET @i = @i + 1; SET @j = 1 END select @result = [value] from @array a where a.i = @sourceLength and a.j = @targetLength RETURN @result; END; CREATE FUNCTION dbo.ScalarMinValue (@Value1 int, @Value2 int) RETURNS int BEGIN declare @return int Select @return = Case When @Value1 < @Value2 Then @Value1 Else @Value2 End return @return END

The calculation is very simmular to the calculation in c# but because the sql server does not support arrays i am using a temptable to store the calculated values. With this function that calculates the difference between two words we can write the stored procedure that takes the source string and select the target strings out of the Words table with the smallest levenshtein distance.

CREATE procedure LevenshteinCalculator @source nvarchar(256) as select dbo.CalculateLevenshteinValue(@source,Word) Levenshtein, Word from Words wout where dbo.CalculateLevenshteinValue(@source,Word) = ( select MIN(m.Levenshtein) from (select dbo.CalculateLevenshteinValue(@source,Word) Levenshtein, Word from Words w) m) go

So if we execute the CalculateLevenshteinValue procedure with ‘lay’ we get the following result.

exec LevenshteinCalculator @source='lay'

So lacy and lady are very close to lay and so we could assume that the user has made typing error and suggest him the two words .

(part1) (part2)