March 6, 2009 at 12:37 pm
select proemail
from pro
join res on pro.proln=res.resln and
pro.profn=res.resfn and
pro.Promi=res.resmi
where (contains (resnar, '"ts/sci"
and "top secret"
and "clearance"'))
and ProEmail like '%@%'
and Prodt = '2009/03/06'
group by proemail
order by proemail
Thanks
March 6, 2009 at 1:35 pm
This will lead to table or index scans
and ProEmail like '%@%'
"The credit belongs to the man who is actually in the arena, whose face is marred by dust and sweat and blood"
- Theodore Roosevelt
Author of:
SQL Server Execution Plans
SQL Server Query Performance Tuning
March 6, 2009 at 1:54 pm
The 'PRO' table is not FTI.
Is it worth making it FTI to swap the 'like' to a 'contains' ?
Thanks for the feedback !
March 6, 2009 at 2:09 pm
Unfortunately there is not a concrete answer on that as it really depends on the size of the table. If you are looking at a relatively small table my guess is that you will find that the FTI will not bring any added performance. That changes when the numbers get larger. What that point is? I don't know honestly but it is worth testing.
David
@SQLTentmaker“He is no fool who gives what he cannot keep to gain that which he cannot lose” - Jim Elliot
March 6, 2009 at 2:13 pm
At the moment, i have about 1 million records and the search takes under 5 seconds, using '%like%'.
March 6, 2009 at 2:17 pm
My guess is that the FTI will perform better, and I believe you would limit those reads a bit as well. 🙂
David
@SQLTentmaker“He is no fool who gives what he cannot keep to gain that which he cannot lose” - Jim Elliot
March 6, 2009 at 5:06 pm
DavidB (3/6/2009)
My guess is that the FTI will perform better, and I believe you would limit those reads a bit as well. 🙂
Quite likely, but I'd test it very thoroughly. Have you looked at the execution plan? Are you getting scans?
"The credit belongs to the man who is actually in the arena, whose face is marred by dust and sweat and blood"
- Theodore Roosevelt
Author of:
SQL Server Execution Plans
SQL Server Query Performance Tuning
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