To be honest, I've never dealt with huge data sets but in the cases I have 
dealt with it's never been a problem.

This might be relevant: 
http://dev.mysql.com/doc/refman/5.0/en/is-null-optimization.html

Unless someone shows me pretty compelling stats otherwise, I'll always lean 
to implementing in a way that makes sense logically and worry about 
performance optimizations when they come up. Storing Nulls just make sense 
to achieve the goal so that's what I'd do until there's a reason for me not 
to.

On Tuesday, August 20, 2013 3:46:16 AM UTC-7, Jani Tiainen wrote:
>
> On Mon, 19 Aug 2013 11:14:54 -0700 (PDT) 
> Jason Arnst-Goodrich <good...@gmail.com <javascript:>> wrote: 
>
> > 
> > > 
> > > Problem is that usually databases aren't very fast to search NULL 
> values 
> > > so if you have to for example produce often list of products that you 
> can 
> > > buy "infinite amount", you would like to consider using value(s) that 
> don't 
> > > conflict from valid set of values. 
> > 
> > 
> > I'm pretty sure that's not true. 
>
> My knowledge is limited per implementation but as far as I know, standard 
> implementation is not to include NULL's (since NULL means "does not 
> exist"). 
>
> I think pretty latest PostgreSQL can use indexes to filter NULL values as 
> well (doesn't have facility to store them though). Oracle since 11g has 
> option to include null values in the index. 
>
> MySQL uses table statistics to determine are NULL values indexed or not. 
>
> For the rest I don't have knowledge about. 
>
> That doesn't remove the fact that there will be a limit for ordering one 
> time - though I would be happy to know what "unlimited" amount of ordering 
> would mean and how to actually it would be implemented and what's the real 
> world use case... 
>
> > +1 to store as Null. 
> > 
> > On Monday, August 19, 2013 1:07:27 AM UTC-7, Jani Tiainen wrote: 
> > > 
> > > On Mon, 19 Aug 2013 00:39:09 -0700 (PDT) 
> > > Victor Hooi <victo...@gmail.com <javascript:>> wrote: 
> > > 
> > > > Hi, 
> > > > 
> > > > I have a Django IntegerField that I'm using to store the purchase 
> limit 
> > > for 
> > > > a product. 
> > > > 
> > > > purchase_limit = models.IntegerField() 
> > > > 
> > > > 
> > > > I also need to represent no limit (i.e. infinity) as well in that 
> field. 
> > > > 
> > > > I was thinking of just using NULL to represent no limit. 
> > > > 
> > > > purchase_limit = models.IntegerField(blank=True, null=True) 
> > > > 
> > > > 
> > > > Zero would have a meaning for this field (you can't buy any), 
> however 
> > > > negative numbers don't have any meaning. 
> > > > 
> > > > Hence, another option is just to use say, -1 as the value to 
> represent 
> > > no 
> > > > limit. 
> > > > 
> > > > Any thoughts on either option, or which one is more "correct"? 
> > > 
> > > From mathematical point integers forms an infinite (countable) set. 
> Though 
> > > in computer science interger is usually a finite set. So what you need 
> is 
> > > just define a logic. Note that this also makes impossible to enforce 
> > > "unlimited" amount to buy so there will definitely be some maximum 
> amount 
> > > you can really buy. 
> > > 
> > > NULL is usually interpreted as "no value defined" which would suit 
> well in 
> > > that sense. Problem is that usually databases aren't very fast to 
> search 
> > > NULL values so if you have to for example produce often list of 
> products 
> > > that you can buy "infinite amount", you would like to consider using 
> > > value(s) that don't conflict from valid set of values. 
> > > 
> > > I personally would pick max value while leaving NULL to mean "no value 
> > > defined". 
> > > 
> > > -- 
> > > 
> > > Jani Tiainen 
> > > 
> > 
> > -- 
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