If you have multiple repetitive queries to run on same db, consider writing
them to a working table on that server's db and then running

exec ProccessMyBatch

Of course, you have to create the sproc of ProcessMyBatch there as well.  I
have no idea what the return of the initial process is so this may be a
good idea or not.

The point I am making is to do the most work where it is fastest and then
query the results a tiny bit later.

We are implementing this in a rewrite of our pricing update that runs every
month to do likewise right now.



On Thu, Mar 29, 2018 at 1:58 PM, Paul H. Tarver <[email protected]> wrote:

> I'm working on a project which involves issuing multiple queries across
> several SQL databases and servers. At this point, I'm polling about 30
> databases and retrieving data from four tables from each database.
>
>
>
> I really have no reason to complain as my procedure including retrieving
> the
> data synchronously over a VPN, processing results locally and then
> exporting
> the data to local files only takes about 6 minutes.
>
>
>
> However, I see this as an opportunity to tune my sql back-end connection
> and
> was wondering if anyone had any suggestions say for setting the PacketSize
> or other changes that might optimize the retrieval of data from the
> server(s).
>
>
>
> Thanks in advance!
>
>
>
> Paul
>
>
>
>
>
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[excessive quoting removed by server]

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