Query Problem

I am using the query shown below but I am not getting the result I expect. I
want to get "Elected" only when the count of LastName field is 75% or more
of the count of when the "CG" field is equal to "Y". What did I mess up
here?
============================ =iif(Count(Fields!LastName.Value) < Count(( Fields!CG.Value)="Y")*0.75, "Not
Elected", "Elected")
============================================Hi Wayne
Count(( Fields!CG.Value)="Y"), i think you can't do this,the
architecture of the RS is such a way that it calculates all the
aggregations and operations first and then will come to the
conditional Expressions next,
here it is messed up with Expressions first .where you are unable to
get the result
As an alternate you can do this
1) Create an extra column Extra1 by going to dataset-->Fields
it must be a calculated field (not dataset field), give like this
IIF( Fields!CG.Value="Y",1,0)
2)Add another column extra2 with sum(Extra1) .
2)Go to the layout ,add extra column to the right of the column
wherever you want,give the expression like this
=iif(Count(Fields!LastName.Value) <First(Extra2), "Not
> Elected", "Elected")
i am not that much confident that it will work, but readjusting all
this expressions should work
Regards,
Raj Deep.A
Wayne Wengert wrote:
> I am using the query shown below but I am not getting the result I expect. I
> want to get "Elected" only when the count of LastName field is 75% or more
> of the count of when the "CG" field is equal to "Y". What did I mess up
> here?
> ============================> =iif(Count(Fields!LastName.Value) < Count(( Fields!CG.Value)="Y")*0.75, "Not
> Elected", "Elected")
> ============================================|||Thanks for the suggestions. I'll give that a try.
Wayne
"RajDeep" <rajalapati@.gmail.com> wrote in message
news:1160558814.067206.178500@.h48g2000cwc.googlegroups.com...
> Hi Wayne
> Count(( Fields!CG.Value)="Y"), i think you can't do this,the
> architecture of the RS is such a way that it calculates all the
> aggregations and operations first and then will come to the
> conditional Expressions next,
> here it is messed up with Expressions first .where you are unable to
> get the result
> As an alternate you can do this
> 1) Create an extra column Extra1 by going to dataset-->Fields
> it must be a calculated field (not dataset field), give like this
> IIF( Fields!CG.Value="Y",1,0)
> 2)Add another column extra2 with sum(Extra1) .
> 2)Go to the layout ,add extra column to the right of the column
> wherever you want,give the expression like this
> =iif(Count(Fields!LastName.Value) <First(Extra2), "Not
>> Elected", "Elected")
> i am not that much confident that it will work, but readjusting all
> this expressions should work
> Regards,
> Raj Deep.A
>
>
> Wayne Wengert wrote:
>> I am using the query shown below but I am not getting the result I
>> expect. I
>> want to get "Elected" only when the count of LastName field is 75% or
>> more
>> of the count of when the "CG" field is equal to "Y". What did I mess up
>> here?
>> ============================>> =iif(Count(Fields!LastName.Value) < Count(( Fields!CG.Value)="Y")*0.75,
>> "Not
>> Elected", "Elected")
>> ============================================>sql

Query Performance

Hi Gurus,

I have run DBCC SHOWCONTIG statement against the table X as shown below:

DBCC SHOWCONTIG (X)
GO

and received the following result:

DBCC SHOWCONTIG scanning 'X' table...
Table: 'X' (885578193); index ID: 1, database ID: 10
TABLE level scan performed.
- Pages Scanned........................: 1400
- Extents Scanned.......................: 300
- Extent Switches.......................: 300
- Avg. Pages per Extent..................: 4.7
- Scan Density [Best Count:Actual Count]......: 50.00% [200:400]
- Logical Scan Fragmentation ..............: 21.43%
- Extent Scan Fragmentation ...............: 33.33%
- Avg. Bytes Free per Page................: 2107.1
- Avg. Page Density (full)................: 73.97%

Which one of the following is more recommended way to increase query performance against the table X?

A. Run DBCC DBREINDEX statement with high fill factor value to rebuild the clustered index.
B. Run DBCC DBREINDEX statement with low fill factor value to rebuild the clustered index.
C. Drop and re-create the clustered index by using DROP INDEX and CREATE INDEX statements with low fill factor value.
D. Drop and re-create the clustered index by using DROP INDEX and CREATE INDEX statements with high fill factor value.
E. Set the truncate log on checkpoint option for the database which contain the Employee table.

Thank youIf they are asking for high query performance, then you don't want a low fill factor, you want as much data per data page. That being said, I would choose (A). (D) would be OK too but it is one more process as you would drop the clustered, recreate it, then any non-clustereds would be rebuilt, that's three steps instead of two.

HTH|||HTH,

Thanks very much.