mail at timgolden
Jun 23, 2008, 11:58 AM
Post #2 of 3
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hwcowan [at] hotmail wrote:
> I have programmed before, but I am new to using Python. I am
> currently using the ArcGIS software which uses Python as its scripting
> language for automating tasks.
>
> The current script that I am working on requires pulling in some
> information from a Microsoft SQL Server.
>
> I was wondering if anyone could suggest the best way of doing this? I
> have looked at the different modules that are specific to SQL server,
> but none of them seem to be active or up to date.
>
> If not, could anyone make any suggestions? Or would it be better to
> go the ODBC route? I am not talking about large amounts of data, so I
> am not concerned about performance so ODBC would be fine to use as
> well.
Have a look at this:
http://ramblings.timgolden.me.uk/2007/09/26/using-mssql-from-within-python-25/
It's hardly comprehensive, but it more-or-less answers
your question.
> Also, being new to Python, I recently read about dictionaries and was
> wondering if there was a quick way to dump a table into a dictionary?
>
> For example, I have a customer list with a customer ID. It would be
> great to have the ID as the "key" and the name as the "data" (or even
> better, have a list as the data element containing all the information
> about the customer).
>
> I am sure that this could be done manually, by looping through each
> record and adding it to the dictionary -- but I was just wondering if
> something like this has already been done (I don't need to reinvent
> the wheel here).
The key phrase you're looking for here is ORM (Object-Relational
Mapper). Again, not an exact match for what you're saying, but
unless you app remains *remarkably* simple, you're going to end
up reinventing an ORM anyway. Probably the front runner these
days is sqlalchemy (which certainly supports MS-SQL):
http://sqlalchemy.org
but just Google for "python orm" for any number of discussions
and comparisons.
TJG
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