Re: Native JIT compiler for Django?

Django-hotsauce is a high-performance toolkit for Django. Using Cython under the hood is really a good method to optimize standard Django applications, but I want to investigate how JIT and PyPy can further improve performances beyond Cython.

 

Le 2018-01-28 à 11:14, Jani Tiainen a écrit :

So whats the whole fuzz about JIT and all that if you're happy with Django as is and how it works with Python..? :-o

On Sun, Jan 28, 2018 at 3:45 PM, Etienne Robillard <tkadm30@yandex.com> wrote:

Hi Jani,

I agree.

I'm really not interesting in "fixing" bad code. I work with open-source grade only softwares like Django. :)

Cheers,

Etienne

Le 2018-01-28 à 08:30, Jani Tiainen a écrit :

Hi.

28.1.2018 3.10 ip. "Etienne Robillard" <tkadm30@yandex.com> kirjoitti:

Hi Jason,

Please don't read me wrong. I want to allow my users to optimize the efficiency of Python/Django web applications using JIT.  

And thats the catch. You can easily write code that is slow and no language, no JIT or tool can fix.

For example many times problem with Django is poorly written ORM code. By doing unnecessary database queries. 

Also to back up your claims how you can be sure that using tool X over normal Python is faster?

What if your tool actally is slower?

Also you have to note that Django is only one part of whole stack of tools used to run Django web app.

Cheers,

Etienne

Le 2018-01-28 à 07:55, Jason a écrit :

What I get from you, Etienne, is that you think this is a cool area to look into, but don't have anything else aside from that suspect coolness factor to apply to your proposal.  Besides, this thing you said above

I don't want to optimize my code manually except with machine-compiled instructions.

makes me extremely concerned that you're in the middle of an X-Y Problem and are avoiding the core issue because you don't feel its your responsibility to practice good design, execute profiling to benchmark performance and implement what optimizations are available for the bottlenecks identified.

 

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Jani Tiainen

- Well planned is half done, and a half done has been sufficient before...

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