General Optimization Doubt

Jan 3, 2008

let me explain the scenario first

say table1 has columns col1, col2 and col3
where col1 and col2 together is PK

and col1 is same for for entire table and col2 is unique (well some may get doubt why to use col+col2 for pk when col2 alone is unique, to clarify this doubt, we have two dbs where in one db col1 does not repeat (in other words there are multiple dbs created based on this col1) and in other db it repeats (all dbs merged together))

sample data
col1--col2
==========
a--1
a--2
a--3
a--4
a--5
a--6
a--7
.
.
. so on

now my question, does both of the below queries takes same time

ex1:
select * from tabel1
select * from tabel1 where col1 = 'a'

in other words, does WHERE clause has any effect in performance when the column used in the query will always the same value with what it is compared?

does it has any effect when i join also?

ex2:
select a.*
from tabel1
inner join tabel2 a
on a.col1 = b.col1
and a.col2 = b.col2

select a.*
from tabel1
inner join tabel2 a
on a.col2 = b.col2 -- note: col1 is not used in join

and please explain how it is same/different

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Table Data Retrieval And Optimization Optimization Help

Apr 10, 2008

Hello Everybody,

I have a small tricky problem here...need help of all you experts.

Let me explain in detail. I have three tables

1. Emp Table: Columns-> EMPID and DeptID
2. Dept Table: Columns-> DeptName and DeptID
3. Team table : Columns -> Date, EmpID1, EmpID2, DeptNo.

There is a stored procedure which runs every day, and for "EVERY" deptID that exists in the dept table, selects two employee from emp table and puts them in the team table. Now assuming that there are several thousands of departments in the dept table, the amount of data entered in Team table is tremendous every day.

If I continue to run the stored proc for 1 month, the team table will have lots of rows in it and I have to retain all the records.

The real problem is when I want to retrive data for a employee(empid1 or empid2) from Team table and view the related details like date, deptno and empid1 or empid2 from emp table.
HOw do we optimise the data retrieval and storage for the table Team. I cannot use partitions as I have SQL server 2005 standard edition.

Please help me to optimize the query and data retrieval time from Team table.


Thanks,
Ganesh

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May 3, 2008

 frenz:
i have the following procedure:while running


EMP_SP_EmpDetails_Display 'FirstName', 'ASC'

i got the error like this: Msg 170, Level 15, State 1, Line 1
Line 1: Incorrect syntax near '.'.

plz can any one solve this problem.




My procedure:


set ANSI_NULLS ON
set QUOTED_IDENTIFIER ON
GO
-- =============================================
-- Author:
-- Create date:
-- Description:
-- =============================================
ALTER procedure [dbo].[EMP_SP_EmpDetails_Display]
-- Add the parameters for the stored procedure here
(@colum as varchar(50),@order as varchar(50))
AS
BEGIN
-- SET NOCOUNT ON added to prevent extra result sets from
-- interfering with SELECT statements.
SET NOCOUNT ON;

declare @sqlexec varchar(1500)


-- Insert statements for procedure here
set @sqlexec=''
set @sqlexec=@sqlexec + 'SELECT EL.UserName,EL.Password, E.EmpID, E.FirstName, E.LastName, E.DesignationID, E.DepartmentID, E.Sex '
set @sqlexec=@sqlexec + 'E.DOB, E.Age, E.Address, E.Email, H.Hobby,'
set @sqlexec=@sqlexec + 'ContactNo=Case When E.phone is not null Then E.phone '
set @sqlexec=@sqlexec + 'When E.phone is null Then E.Mobile End, '
set @sqlexec=@sqlexec + 'E.DateOfjoining, D.Designation, DE.Department '
set @sqlexec=@sqlexec + 'From dbo.EMP_Tbl_Employee E '
set @sqlexec=@sqlexec + 'Inner Join dbo.EMP_Tbl_Designation D On E.DesignationID=D.DesignationID '
set @sqlexec=@sqlexec + 'Inner Join dbo.EMP_Tbl_Department DE On E.DepartmentID=DE.DepartmentID '
set @sqlexec=@sqlexec + 'Inner Join dbo.EMP_Tbl_EmployeeHobbies EH On E.EmpID=EH.EmpID '
set @sqlexec=@sqlexec + 'Inner Join dbo.EMP_Tbl_Hobby H On E.Sno=H.Sno '
set @sqlexec=@sqlexec + 'Inner Join dbo.EMP_Tbl_EmployeeLogin EL On E.Sno=EL.Sno order by '+@colum+' '+@order+''

exec(@sqlexec)

END

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ok
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