Migrations are very slow, so I don't run them during test runs, and run
tests with --keepdb even in CI/CD.  This is required for my environment
anyway, because we use Oracle heavily, a "schema" is the same thing as a
"user", and is what I used to think of as a "database" coming from MySQL
and PostgreSQL.

To make migrations testable, I wrote a management command "clearschema"
which can clear the schema of any database alias, or its test analog.  This
"clearschema" command is in a framework app that all the apps at my
workplace include, but I think only I and a couple other projects use it.

Anyway, it seems that if --keepdb is so necessary, that anything we can do
to speed up migrations during tests and during deployment would be
worthwhile, but we have to be very careful to make sure that migrations are
imported once, and that any caching scheme is idempotent - e.g. we can
throw away the cached data.

On Mon, May 20, 2019 at 11:26 PM Raphael Gaschignard <raph...@makeleaps.com>
wrote:

> Hi Markus, Simon,
>
>   Both of you, thank you for the detailed replies and status report on
> this sort of stuff.
>
> > Did you look into squashing these 500 migrations by any chance?
>
> Yeah so I'll go in and squash things, though (partly because effective
> squashing requires moving models around, though we're still at Django
> 1.11 so it might become easier, partly because of cross-app references)
> it's a decent amount of work.
>
> I do like the idea of reusing a "effectively production DB" for things,
> not least because it's actually acurate.
>
> OK so the Operation API is effectively documented. I am tempted to try
> modifying the `database_forwards` and `database_backwards` to not
> require `from_state` (probably through adding a hook that gets called
> _before_ `state_forwards` to allow capturing the small details of the
> old state). It might actually be possible to make this backwards
> compatible by porting Django migrations to use an `apps`-free workflow,
> but falling back to the old "re-render the universe" mechanism for
> operations that don't apply it.
>
> This is very "that xkcd comic about time spent versus time saved"....
>
>  > will cause trouble with RunSQL and other operations that use related
> field or model attributes
>
> So one thing I felt like was an invariant in this code was that field
> sharing was expected? From the docstring of ModelState:
>
>      Note that while you are allowed to mutate .fields, you are not allowed
>      to mutate the Field instances inside there themselves - you must
> instead
>      assign new ones, as these are not detached during a clone.
>
> Also maybe you meant to refer to RunPython instead of RunSQL. But I get
> your point in general here. Related models can be a problem
>
> One throwaway idea would be to not allow related model/related field
> access in these models? There's already a lot of documentation related
> to not allowing general model methods (effectively establishing that
> "migration models are _not_ normal models"), so there's a bit of
> precedent. But beyond the general backwards incompatability, it might
> not actually even be obvious how one would implement this. And you kinda
> need this info for foreign keys and the like anyways.
>
>
> Working directly off of `ModelState` is interesting, and I think there
> might be a backwards-compatible way forward there, where we still allow
> for rendering on certain operations but hold off on it on the basic
> ones. Even in our large project, most of our migration operatiosn are
> dirt-simple, so if the core django migrations could work off of
> `ModelState` then we could get a fast path through there.
>
> Thanks for your input, both of you. I have a couple ideas now that I'm
> pretty tempted to try out, mainly around the "fast path and slow path"
> strategies that should offer backwards compatibility.
>
>   Raphael
>
> Markus Holtermann wrote on 2019/05/21 2:26:
> > Thanks Raphael for bringing this topic up and Simon for your input
> already.
> >
> > I just left a note on your PR:
> https://github.com/django/django/pull/11388#issuecomment-494076750 . I'll
> quote it here for ease of readability:
> >
> > As far as I can see right now, a similar caching happened as a first
> approach to the Django 1.8 release but cause significant problems,
> specifically with regards to relational fields. Relational fields
> (ForeignKey, OneToOneField, ManyToManyField) keep an instance reference to
> the related model in `.related_model` or the related fields in
> `.related_fields`. The problem now is, if you reuse a field (and you do
> because you're only calling `list()` on `self.fields` to copy but not
> deepcopy the list), you're screwing up references between the models that
> _will_ cause trouble with `RunSQL` and other operations that use related
> field or model attributes.
> >
> >
> https://github.com/django/django/blob/1d0bab0bfd77edcf1228d45bf654457a8ff1890d/django/db/models/fields/__init__.py#L495-L499
> >
> >  From my work on migrations, I see essentially 2 approaches that are
> viable and would lead to significant performance improvements:
> >
> > ## 1. Make the schema editor work with model states
> >
> > There's a _very old_ branch on my fork that tries to implement this
> approach:
> https://github.com/MarkusH/django/commits/schemaeditor-modelstate
> >
> > I lost interest and eventually also didn't have the time to pursue this
> approach further. I think that's the better of the two approaches, as it
> gets rid of the piece of code that actually _causes_ the slow behavior:
> turning a model state into a model class to be used in the schema editor.
> >
> > However, making the schema editor backward compatible has been proven
> difficult and to be a huge pain (just check out the commits :wink: )
> >
> > ## 2. Don't resolve models/fields to instances but rely on string
> references.
> >
> > This approach is IMO merely a workaround as it would allow us to cache
> the fields and models as you're doing in your PR.
> `model._meta.get_field("author").related_model` would not return `<class
> 'myapp.models.Author'>` but `"myapp.Author"`. However, as far as I can
> tell, that's highly backward incompatible. And at this point, I also don't
> see a way to make this backward compatible.
> >
> > Cheers,
> >
> > Markus
> >
> > On Mon, May 20, 2019, at 5:26 PM, charettes wrote:
> >> Hello Raphael,
> >>
> >>> Have there ever been any surveys about how the size of Django
> projects? I don't know the value of investigating this further except for
> our own usage.
> >> I'm not aware of any similar surveys in the recent years but I would
> >> say *240 models across 90 apps, with roughly 500 migrations* would be
> >> considered a really large project in my experience. Did you look into
> >> squashing these 500 migrations by any chance? Something we did at
> >> $DAYJOB to speed up the test bootstraping process is to prebuild
> >> containers with migrations already applied in production so CI running
> >> PRs only applies new migrations on top of them.
> >>
> >>> Does the caching of ModelState.render as done in this PR (still need
> to work through a couple failing tests) sound reasonable? Or is this
> veering too far in the performance/safety guarantee tradeoff?
> >> While the layer you added seems to yield significant benefits I would
> >> argue that it complicates an already too complex apps rendering caching
> >> layer. As you'll probably come to discover while trying to resolve the
> >> currently failing tests model.Fields equality is not implemented how
> >> you'd expect it to be[0] and thus require costly deconstruction to be
> >> used as a cache staleness predicate[1].
> >>
> >>> Is the migration operation infrastructure considered a public API? As
> in, would changing the Operation model API (potentially breaking
> subclasses) be considered a major undertaking? Or would it be an acceptable
> cost to pay for some performance improvements?
> >> Given the large adoption of migrations and the fact the Operation API
> >> is publicly documented[2] I would say the performance benefits would
> >> need to be quite substantial to break backward compatibility. In my
> >> opinion, and I think that's something Markus Holtermann who also worked
> >> a lot on speeding up migrations would agree on, we should focus our
> >> efforts on avoiding model rendering at all cost. We've already made all
> >> state mutation (Operation.state_forwards) avoid all accesses to .apps
> >> and I think the next step would be to make `database_forwards` and
> >> `database_backwards` do the same. This is something Markus worked on a
> >> few years ago[3].
> >>
> >> Cheers,
> >> Simon
> >>
> >> [0]
> >>
> https://github.com/django/django/blob/1d0bab0bfd77edcf1228d45bf654457a8ff1890d/django/db/models/fields/__init__.py#L495-L499
> >> [1]
> >>
> https://github.com/django/django/blob/1d0bab0bfd77edcf1228d45bf654457a8ff1890d/django/db/migrations/autodetector.py#L49-L87
> >> [2]
> >>
> https://docs.djangoproject.com/en/2.2/ref/migration-operations/#writing-your-own
> >> [3]
> >>
> https://github.com/django/django/compare/master...MarkusH:schemaeditor-modelstate
> >>
> >> Le dimanche 19 mai 2019 22:13:03 UTC-4, Raphael Gaschignard a écrit :
> >>> Hi Developers,
> >>>
> >>>   We have a decently-sized "large project", around 240 models across
> 90 apps, with roughly 500 migrations to work off of. We do periodically
> squash migrations to keep the migration count under control, but because of
> all this migrations in our testing server take 3-5 minutes to run to
> completion.
> >>>
> >>> I am not sure about what the size of a typical Django project is (or
> rather, a typical "large project") so it's hard for me to quantify how big
> of an issue this is.
> >>>
> >>> Looking through the migration code and some profiling I found a place
> where caching was possible (on the ModelState -> Model rendering, based on
> some of the invariants stated in ModelState code), which would cut *our*
> full migration from 230 seconds to 50 seconds (on my machine at least). On
> the specific caching I did, I was hitting a 90% cache hit rate on our full
> migration run.
> >>>
> >>> Caching is always a bit scary, though, and there are a *lot* of places
> in the apps registry code/model registration code in particular where
> caches are constantly being wiped. So this stuff scares me quite a bit. In
> my personal ideal, I would love to be able to check in my caching thing but
> have it be behind some MIGRATIONS_FASTER_BUT_MAYBE_UNSAFE flag. I am not
> recommending this for Django because it's not how the project tends to do
> things, this is just my personal feeling. After all, you're rarely running
> all your migrations in production, so this is a testing problem more than
> anything.
> >>>
> >>> I do think there would be an alternative way to move forward though.
> Currently the migrations Operation class relies on having the from_state
> and to_state for DB operations in particular. But I think that we could
> change up this API based on how these properties are used in
> Django-provided Operation classes to avoid having to copy the state to
> provide from_state and to_state. I haven't gone through with this
> investigation too much yet but I think this would improve things a bit.
> >>>
> >>> So this is a multi-pronged question:
> >>>
> >>> - Have there ever been any surveys about how the size of Django
> projects? I don't know the value of investigating this further except for
> our own usage.
> >>>
> >>> - Does the caching of ModelState.render as done in this PR <
> https://github.com/django/django/pull/11388> (still need to work through
> a couple failing tests) sound reasonable? Or is this veering too far in the
> performance/safety guarantee tradeoff?
> >>> - Is the migration operation infrastructure considered a public API?
> As in, would changing the Operation model API (potentially breaking
> subclasses) be considered a major undertaking? Or would it be an acceptable
> cost to pay for some performance improvements?
> >>>
> >>> I am still trying to wrap my head around some of this problem space,
> so any insight will be very appreciated
> >>>
> >>> Thanks,
> >>>   Raphael
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