Performance of datatable.select() func against database query orthe xquery

[Mukesh]

Hi all

I am developing a webportal on VS2005 and ASP.NET 2.0
Using MsSQL SERVER 2005.
I have some static records(around 15000) in the database.These contents
never changed while the application is running.

what i m doing is querying the database only once at the
application_start event of the global.asax file and storing the records
in dataset...and further no query to database is done for this data.
wherever I need this data I fetch it from the dataset...through
datatable.select(filter expression) method.this is done several time for
a single page request and the website is high traffic portal.

Is it an efficient way of doing or there is any other better way by
which I can achieve the same..,as the amount of data is very
large...approx 15,000 records.
Plz Suggest me ..........


Thanxxxxxxxxxxxxxx

Regards

Deepti Yadav
Noida

 

[Guest]

OK, I will suggest you. 15,000 rows for a select is a lot of data to display
in an ASP.NET web application. Are your users realistically going to need to
see all 15,000 rows? why not have a more restrictive select with some sort
of paging mechanism if they want to move to the next page of results?

Peter

 

[Walter Wang [MSFT]]

Hi Deepti,

Although you're not directly displaying all 15,000 records to end-user
(used DataTable.Select to filter), it's still not a good idea to cache all
15,000 records at server-side.

I would suggest to optimize at the database side: with careful index
design, I think you should get good performance when frequently selecting
from the table. After all, the database server also does pretty well to
cache data for frequently queried data.

Hope this helps.


Regards,
Walter Wang ([email protected], remove 'online.')
Microsoft Online Community Support

==================================================
When responding to posts, please "Reply to Group" via your newsreader so
that others may learn and benefit from your issue.
==================================================

This posting is provided "AS IS" with no warranties, and confers no rights.