Let\'s say you have a stored procedure, and it takes an optional parameter. You want to use this optional parameter in the SQL query. Typically this is how I\'ve seen it don
You're using "OR" clause (implicitly and explicitly) on the first two SQL statements. Last one is an "AND" criteria. "OR" is always more expensive than "AND" criteria. No you're not crazy, should be expected.
Change from using the "or" syntax to a two query approach, you'll see 2 different plans that should keep your logical read count as low as possible:
IF @MyOptionalParam is null
BEGIN
SELECT *
FROM dbo.MyTableName t1
END
ELSE
BEGIN
SELECT *
FROM dbo.MyTableName t1
WHERE t1.MyField = @MyOptionalParam
END
You need to fight your programmer's urge to reduce duplication here. Realize you are asking for two fundamentally different execution plans and require two queries to produce two plans.
If we convert the SQL to a string, then call sp_ExecuteSQL on it, the reads are almost nil...
Excellent resource: The Curse & Blessing of Dynamic SQL
As long as you are using parameterized queries, you should safe from SQL Injection attacks.
EDIT: Adding link to similar question/answer with context as to why the union / if...else approach works better than OR logic (FYI, Remus, the answerer in this link, used to work on the SQL Server team developing service broker and other technologies)
Change from using the "or" syntax to a union approach, you'll see 2 seeks that should keep your logical read count as low as possible:
SELECT * FROM dbo.MyTableName t1
WHERE t1.ThisField = 'test'
AND @MyOptionalParam IS NULL
union all
SELECT * FROM dbo.MyTableName t1
WHERE t1.ThisField = 'test'
AND t1.MyField = @MyOptionalParam
If you want to de-duplicate the results, use a "union" instead of "union all".
EDIT: Demo showing that the optimizer is smart enough to rule out scan with a null variable value in UNION:
if object_id('tempdb..#data') > 0
drop table #data
go
-- Put in some data
select top 1000000
cast(a.name as varchar(100)) as thisField, cast(newid() as varchar(50)) as myField
into #data
from sys.columns a
cross join sys.columns b
cross join sys.columns c;
go
-- Shwo count
select count(*) from #data;
go
-- Index on thisField
create clustered index ixc__blah__temp on #data (thisField);
go
set statistics io on;
go
-- Query with a null parameter value
declare @MyOptionalParam varchar(50);
select *
from #data d
where d.thisField = 'test'
and @MyOptionalParam is null;
go
-- Union query
declare @MyOptionalParam varchar(50);
select *
from #data d
where d.thisField = 'test'
and @MyOptionalParam is null
union all
select *
from #data d
where d.thisField = 'test'
and d.myField = '5D25E9F8-EA23-47EE-A954-9D290908EE3E';
go
-- Union query with value
declare @MyOptionalParam varchar(50);
select @MyOptionalParam = '5D25E9F8-EA23-47EE-A954-9D290908EE3E'
select *
from #data d
where d.thisField = 'test'
and @MyOptionalParam is null
union all
select *
from #data d
where d.thisField = 'test'
and d.myField = '5D25E9F8-EA23-47EE-A954-9D290908EE3E';
go
if object_id('tempdb..#data') > 0
drop table #data
go
This is another variation on the optional parameter technique:
SELECT * FROM dbo.MyTableName t1
WHERE t1.ThisField = 'test'
AND t1.MyField = COALESCE(@MyOptionalParam, t1.MyField)
I'm pretty sure it will have the same performance problem though. If performance is #1 then you'll probably be stuck with forking logic and near duplicate queries or building strings which is equally painful in TSQL.