Hi Michael,

Thank you very much for your response :)

The problem is that numpy requires a list of tuples, just what the
low-level cursor provides.
I just wanted to avoid the conversion to dict and back again to a tuple.

Thank you very much!

2013/4/29 Michael Bayer <[email protected]>

>
> On Apr 29, 2013, at 9:49 AM, Pau Tallada <[email protected]> wrote:
>
> > Hi,
> >
> > I have some very big datasets that we want to process in batches of
> reasonable size.
> > In order to do that, we enable the 'stream_results' execution option
> (available in Postgresql) and we use the fetchmany method to retrieve the
> records in batches.
> > With those records we must build a numpy array, but its constructor
> complains about the RowProxy wrapper.
> >
> > So I tried using the cursor directly to retrieve the selected rows, but
> the cursor skips the first one if 'stream_results' is enabled.
>
> whoaaaaa OK I just looked at what you're doing here, wondering if I was
> crazy or not.   You're doing "rs.cursor.fetchall()" on the second run.
>  You can't do that here; the mechanism of "stream results" requires that
> rows must be buffered, so in this case you're bypassing that mechanism.
>  I copied your test without seeing that detail.
>
> If numpy doesn't recognize the dict interface of a RowProxy, then iterate
> dicts by passing it "(dict(row) for row in result)".
>
>
>
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-- 
----------------------------------
Pau Tallada Crespí
Dep. d'Astrofísica i Cosmologia
Port d'Informació Científica (PIC)
Tel: +34 93 586 8233
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