Thank you, Ed.
In fact, I was reading about the internals of psycopg and the module 
interprets python lists as postgres arrays and the other way.
The only thing I would need, then, is to "present" that list to dabo as 
discrete values.
Where is the appropriate place to do that?
TIA

On 12/20/2010 04:09 PM, Ed Leafe wrote:
> On Dec 19, 2010, at 5:39 PM, marcelo nicolet wrote:
>
>> But it would be nice to take advantage of  the arrays this engine
>> supports. In fact, the business model of the project focuses on a vector
>> of integers, which is very inconvenient to manage in true normalized
>> form, and also as a set of scalars in the same relation.
>> So, I am asking for an example of how to integrate non standard types
>> from the backend into dabo.
>
>       I would assume that you would have to create custom handlers for these 
> data types. I would imagine that psycopg would make the necessary conversion 
> from the PostegreSQL datatype to the nearest Python type (list in this case). 
> I'm not sure how Dabo would handle lists as column values, as I've never 
> tried anything like that. However, if you do try and get errors at the Dabo 
> level, please paste the tracebacks here so that we can see what would have to 
> be improved in order to handle these correctly.
>
>
>
> -- Ed Leafe
>
>
>
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