On 12/20/2010 05:03 PM, John Fabiani wrote:
> On Monday, December 20, 2010 11:49:02 am marcelo nicolet wrote:
>> 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
>
> I have several questions
> Is each of the array fields fixed in the number of elements?
> Is each element with in the array the same data type?
> Are you going to search on any of the elements?
> Will you be adding elements to the array?
>
>
> Johnf

Yes, they are of fixed size; all elements are integers (in this case, of 
course). The arrays will not change in size once stored.
Regarding query, the arrays will be retrieved always in their entirety; 
if the user request some filtering, it will be done programatically, not 
at the backend level.
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