Hi,

I'd be very careful about calling it bulk_save(), since calling
it something with save() very strongly suggests that it calls pre_save
or post_save signals.

Best
Raphael


Am Fri, 14 Sep 2018 07:56:38 -0700 (PDT)
schrieb Tim Graham <timogra...@gmail.com>:

>  
> 
> I wanted to ask about naming of the new method. Currently the
> proposed name is "QuerySet.bulk_save()" but I think it's a bit
> confusing since it uses QuerySet.update(), not Model.save(). It works
> similarly to QuerySet.bulk_update() from
> https://github.com/aykut/django-bulk-update but the arguments are a
> bit different.
> 
> 
> Josh's comment on the PR: "Since this only works for instances with
> an pk, do you think that bulk_update would be a better name? The
> regular save() method can either create or update depending on pk
> status which may confuse users here."
> 
> And Tom's reply: "I considered this, but queryset.update() is the
> best 'bulk update' method. I didn't want to confuse the two, this is
> more about saving multiple model fields with multiple differing
> values, gene bulk_save. Open to changing it though."
> 
> 
> On Tuesday, January 23, 2018 at 7:38:18 AM UTC-5, Neal Todd wrote:
> >
> > Hi Tom,
> >
> > That's great, should be a helpful addition to core. Will follow the
> > ticket and PR.
> >
> > Neal
> >
> > (Apologies - I hadn't spotted that you'd already referenced 
> > django-bulk-update in your ticket when I left my drive-by comment!)
> >
> > On Monday, January 22, 2018 at 7:41:11 PM UTC, Tom Forbes wrote:  
> >>
> >> Hey Neal,
> >>
> >> Thank you very much for pointing that out, I actually found out
> >> about this package as I was researching the ticket - I wish I had
> >> known about this a couple of years ago as it would have saved me a
> >> fair bit of CPU and brain time!
> >>
> >> I think that module is a good starting point and proves that it’s 
> >> possible, however I think the implementation can be improved upon
> >> if we bring it inside core. I worked on a small PR to add this 
> >> <https://github.com/django/django/pull/9606/files#diff-5b0dda5eb9a242c15879dc9cd2121379R473>
> >>  
> >> and the implementation was refreshingly simple. It still needs
> >> docs, a couple more tests and to fix a strange error with sqlite
> >> on Windows, but overall it seems like a lot of gain for a small
> >> amount of code.
> >>
> >> Tom 
> >>
> >>
> >> On 22 January 2018 at 15:10:53, Neal Todd (ne...@torchbox.com)
> >> wrote:
> >>
> >> Hi Tom,
> >>
> >> A built-in bulk save that's more flexible than update would
> >> certainly be nice. Just in case you haven't come across it though,
> >> there is a package called django-bulk-update:
> >>
> >> https://github.com/aykut/django-bulk-update
> >>
> >> I've found it very useful on a number of occassions where update
> >> isn't quite enough but the loop-edit-save pattern is too slow to
> >> be convenient.
> >>
> >> Probably some useful things in there when considering the API and 
> >> approach.
> >>
> >> Cheers, Neal 
> >>
> >> On Friday, January 19, 2018 at 5:49:48 PM UTC, Tom Forbes wrote:   
> >>>
> >>> Hello all,
> >>>
> >>> I’d love for some feedback on an idea I’ve been mulling around
> >>> lately, namely adding a bulk_save method to Dango.
> >>>
> >>> A somewhat common pattern for some applications is to loop over a
> >>> list of models, set an attribute and call save on them. This
> >>> unfortunately can issue a lot of database queries which can be a
> >>> significant slowdown. You can work around this by using
> >>> ‘.update()’ in some cases, but not all.
> >>>
> >>> It seems it would be possible to use a CASE statement in SQL to
> >>> handle bulk-updating many rows with differing values. For example:
> >>>
> >>> SomeModel.object.filter(id__in=[1,2]).update(
> >>>     some_field=Case(
> >>>         When(id=1, then=Value('Field value for ID=1')),
> >>>         When(id=2, then=Value('Field value for ID=2'))
> >>>     )
> >>> )
> >>>
> >>> I’ve made a ticket for this here: 
> >>> https://code.djangoproject.com/ticket/29037
> >>>
> >>> I managed to get a 70x performance increase using this technique
> >>> on a fairly large table, and it seems it could be applicable to
> >>> many projects just like bulk_create.
> >>>
> >>> The downsides to this is that it can produce very large SQL
> >>> statements when updating many rows (I had MySQL complain about a
> >>> 10MB statement once), but this can be overcome with batching and
> >>> other optimisations (i.e the same values can use WHEN id IN (x,
> >>> y, z) rather than 3 individual WHEN statements).
> >>>
> >>> I’m imagining an API very similar to bulk_create, but spend any
> >>> time on a patch I thought I would ask if anyone have any feedback
> >>> on this suggestion. Would this be a good addition to Dango?
> >>>
> >>>
> >>> --  
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