I am looking for some advice/comments on what the best replication model
would be in the following situation:
We have a series of complex (slow) stored procedures that do lots of
calculations but produce relatively few changes in the database. These
stored procedures were written such that they process chunks of data
based on passed in parameters, and it is possible to run the same stored
procedure simultaneously with different parameters without them stepping
on each other's toes. The problem is that it is very CPU intensive.
We were thinking of using replication to replicate the data to several
servers and spreading the processing load between them. Then any
updates to the db produced would get replicated back to all the other
databases. All the databases must be in sync, but some latency is ok.
Would replication be appropriate in this situation? What is the best
replication model here? I was thinking Queued Updating Transactional.
Would welcome any thoughts/comments.
Thanks,
Alek
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I think you should look at extended stored procedures or even the CLR
functionality which ships with Yukon.
Queued Updating will probably work for this, as long as you have less than
10 subscribers, and the majority of your updates occur on your publisher.
The reason that most updates should occur on your publisher is to minimize
the possibilities of conflicts. If you can guarantee that you won't get
conflicts queued should work.
Hilary Cotter
Looking for a SQL Server replication book?
http://www.nwsu.com/0974973602.html
"Alek B" <developersdex.10.alekb@.spamgourmet.com> wrote in message
news:O8LrOkQ7EHA.2192@.TK2MSFTNGP14.phx.gbl...
>I am looking for some advice/comments on what the best replication model
> would be in the following situation:
> We have a series of complex (slow) stored procedures that do lots of
> calculations but produce relatively few changes in the database. These
> stored procedures were written such that they process chunks of data
> based on passed in parameters, and it is possible to run the same stored
> procedure simultaneously with different parameters without them stepping
> on each other's toes. The problem is that it is very CPU intensive.
> We were thinking of using replication to replicate the data to several
> servers and spreading the processing load between them. Then any
> updates to the db produced would get replicated back to all the other
> databases. All the databases must be in sync, but some latency is ok.
> Would replication be appropriate in this situation? What is the best
> replication model here? I was thinking Queued Updating Transactional.
> Would welcome any thoughts/comments.
> Thanks,
> Alek
> *** Sent via Developersdex http://www.codecomments.com ***
> Don't just participate in USENET...get rewarded for it!
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