You might want to look at the answer to this similar question here:
We've found that a SPROC which takes in a bunch of optional parameters and implements the filter like this :
CREATE PROC MyProc (@optionalParam1 NVARCHAR(50)=NULL, @optionalParam2 INT=NULL)
SELECT field1, field2, ... FROM [Table]
(@optionalParam1 IS NULL OR MyColumn1 = @optionalParam1)
AND (@optionalParam2 IS NULL OR MyColumn2 = @optionalParam2)
will cache the first execution plan it is run with (e.g.
@optionalParam1 = 'Hello World', @optionalParam2 = NULL) but then perform miserably if we pass it a different set of optional parameters (e.g.
@optionalParam1 = NULL, @optionalParam2 = 42). (And obviously we want the performance of the cached plan, so
WITH RECOMPILE is out)
The exception here is that if there is ALSO at least one MANDATORY filter on the query which is HIGHLY selective and properly indexed, in addition to the optional parameters, then the above PROC will perform fine.
However, if ALL the filters are optional, the rather awful truth is that parameterized dynamic sql actually performs better (unless you write N! different static PROCS for each permutation of optional parameters).
Dynamic SQL like the below will create and cache a different plan for each permutation of the Query parameters, but at least each plan will be 'tailored' to the specific query (it doesn't matter whether it is a PROC or Adhoc SQL - as long as they are parameterized queries, they will be cached)
So hence my preference for :
DECLARE @SQL NVARCHAR(MAX)
-- Mandatory / Static part of the Query here
SET @SQL = N'SELECT * FROM [table] WHERE 1 = 1'
IF @OptionalParam1 IS NOT NULL
SET @SQL = @SQL + N' AND MyColumn1 = @optionalParam1'
IF @OptionalParam2 IS NOT NULL
SET @SQL = @SQL + N' AND MyColumn2 = @optionalParam2'
EXEC sp_executesql @SQL,
,@optionalParam1 = @optionalParam1
,@optionalParam2 = @optionalParam2
etc. It doesn't matter if we pass in redundant parameters into sp_executesql - they are ignored.
It is worth noting that ORM's like Linq2SQL and EF use parameterized dynamic sql in a similar way.