Have you tried enabling the Multiple Active Result Sets option? I think you
can do so by adding the following to the connection string:
DAL('mssql4://username:password@localhost/test?MARS_Connection=yes', ...)
Note, it may need to be all caps -- MARS_CONNECTION.
Anthony
On Wednesday, January 10, 2018 at 10:48:19 AM UTC-5, Brian M wrote:
>
> I'm attempting to process through record sets from DAL queries that can
> sometimes return hundreds of thousands of records. To try to keep memory
> usage under control I wanted to use iterselect() instead of a plain DAL
> select(). However, the problem I'm running into is that as I process each
> record I need to perform other actions against the same database but when I
> do so I get "Connection is busy with results for another command" because
> of course I haven't finished getting all of the records yet. Is there some
> simple way to deal with this? Seems like it'd be the norm to need to do
> other things with the database while using iterselect().
>
> I'm using a Microsoft SQL Server database with pyodbc. The DAL connection
> is using mssql4n with {SQL Server Native Client 11.0} as an extra driver
> argument.
>
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