Hi Dhananjaya,
This very much depends on the implementation of your code. (My guess is
that you are not comparing apples to apples.)
Could you please send code samples of the Python version and the C version
so that we can review.
Be Well
Anthony
On Tue, Mar 15, 2011 at 7:09 PM, Dhananjaya <dhanush...@yahoo.com> wrote:
>
>
> Hi,
>
> I am very new to Pytables, i was enthralled after looking into pytables
> website.
> We use HDF5 C API's to organize our sampling data. After knowing about
> PyTables
> i downloaded and installed it and try to evaluate against HDF5 C API's.
> No doubt the lines of code reduced drastically using python and pytables,
> but
> the applications is very slow compared to our previous HDF5 C API's.
> After using Pytables it executes almost 15x times slower than C API's.
>
>
> Is there any way/method to increase or fine tune the performance ? right
> now i
> have tried numpy, chunking and non-compression way but no marginal increase
> in
> performance. Can somebody guide me through this ?
>
> The scenario is :
> C HDF5 APIS take around 11 seconds to create 30,000 dataset ( 194 MB H5
> file)
> Pytables take around 160 seconds to create 30,000 datasets ( 303 MB H5 file
> )
>
>
>
>
> Regards
> Dhananjaya
>
>
>
>
>
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