I did some timing tests.
https://code.djangoproject.com/ticket/18023#comment:5

An order of magnitude difference in JSON serialization time corresponds to
an 8% change in total serialization time for a complex model, and 5 deeply
nested model instances can be serialized in < 2 ms. It might be a little
different depending on how deeply your models are related, but it convinced
me that splitting hairs over the JSON serializer isn't worth it. I had the
idea in my head that serialization might be a bottleneck in the same way
that template rendering is, but I realize now it's very different. Heavily
nested and unoptimized templates thrash the disk and change a 10ms response
into a 100ms response. Shoddy JSON serializers might thrash the heap, or
make the GC work overtime, but it's all in memory so the worst that happens
is that a 10ms response becomes a 12ms response. It's just not worth
worrying about.

Best,
Alex Ogier

On Fri, Mar 30, 2012 at 2:02 PM, Łukasz Rekucki <[email protected]> wrote:

> On 30 March 2012 13:04, Alex Ogier <[email protected]> wrote:
> > At the same time, I want to reiterate my support for option #1: not
> deprecating the
> > module and leaving the shim in for the foreseeable future. If simplejson
> is
> > available on the system, and particularly if it has been compiled with C
> > extensions, then there is a significant performance gain to be had, so
> why
> > not continue to take advantage of that in all the places that django
> > serializes to json?
>
> I agree this is a valid concern and I think it should be mentioned in
> release notes. If you want more performance, then option #3 (anyjson)
> would actually be better, but I don't think it should be Django's
> concern to choose the best JSON package for you (we don't do that for
> XML). Instead, imho, Django should provide an ability to pass a custom
> JSON encode/decoder to all APIs that require it, so you can decide
> about it at the project level.
>
> --
> Łukasz Rekucki
>
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