Interesting list() un-optimization

Dave Angel davea at davea.name
Wed Mar 6 22:38:58 EST 2013


On 03/06/2013 10:20 PM, Roy Smith wrote:
> I stumbled upon an interesting bit of trivia concerning lists and list
> comprehensions today.
>
> We use mongoengine as a database model layer.  A mongoengine query
> returns an iterable object called a QuerySet.  The "obvious" way to
> create a list of the query results would be:
>
>      my_objects = list(my_query_set)
>
> and, indeed, that works.  But, then I found this code:
>
>     my_objects = [obj for obj in my_query_set]
>
> which seemed a bit silly.  I called over the guy who wrote it and asked
> him why he didn't just write it using list().  I was astounded when it
> turned out there's a good reason!
>
> Apparently, list() has an "optimization" where it calls len() on its
> argument to try and discover the number of items it's going to put into
> the list.  Presumably, list() uses this information to pre-allocate the
> right amount of memory the first time, without any resizing.  If len()
> fails, it falls back to just iterating and resizing as needed.
> Normally, this would be a win.
>
> The problem is, QuerySets have a __len__() method.  Calling it is a lot
> faster than iterating over the whole query set and counting the items,
> but it does result in an additional database query, which is a lot
> slower than the list resizing!  Writing the code as a list comprehension
> prevents list() from trying to optimize when it shouldn't!
>

That is very interesting.  list() assumes the __len__() method would be 
very quick.

Perhaps list() should take an optional second argument that specifies 
the initial length to allocate.  That way code that either doesn't want 
__len__() to be used, or that already knows a reasonable number to use, 
can supply the value to preallocate.

-- 
DaveA



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