Re: [Pytables-users] Performance of tables vs. arrays (out vs in core?)

[Francesc A. <fa...@py...>]

On 4/25/12 6:13 AM, Alvaro Tejero Cantero wrote:
> Hi,
>
> Thanks for the clarification.
>
> I retried today both with a normal and a completely sorted index on a
> a blosc-compressed table (complevel 5) and could not reproduce the
> putative bug either.

So could you please confirm if you can reproduce the problem with blosc 
level 9?

Thanks!

>
> -á.
>
>
> On Tue, Apr 24, 2012 at 04:39, Anthony Scopatz<sc...@gm...>  wrote:
>> On Mon, Apr 23, 2012 at 9:14 PM, Francesc Alted<fa...@py...>  wrote:
>>> On 4/19/12 8:43 AM, Alvaro Tejero Cantero wrote:
>>>> Some complementary info (I copy the details of the tables below)
>>>>
>>>> timeit vals = numpy.fromiter((x['val'] for x in
>>>> my.root.raw.t0.wtab02.where('val>1')),dtype=np.int16)
>>>> 1 loops, best of 3: 30.4 s per loop
>>>>
>>>>
>>>> Using the compressed and indexed version, it mysteriously does not
>>>> work (output is empty list)
>>>>>>> cvals = np.fromiter((x['val'] for x in wctab02.where('val>1')),
>>>>>>> dtype=np.int16)
>>>>>>> cvals
>>>> array([], dtype=int16)
>>> This smells like a bug, but I cannot reproduce it.  Could you send an
>>> self-contained example reproducing this behavior?
>>
>> I am not able to reproduce this either...
>>
>>>
>>> --
>>> Francesc Alted
>>>
>>>
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-- 
Francesc Alted