On Tue, Dec 1, 2020 at 7:42 PM Mike Bayer <[email protected]> wrote:

> do your "tests" each run in separate processes?
>
>
> Heh, is "tests" surrounding in quotes because we're constructing our
> entire data model for each test? FWIW, we call them integration tests, and
> we aren't under the illusion that they are unit tests. To answer your
> question, when we run the entire test suite, we parallelize ≈13k tests
> across tens of processes, and it takes 10-25 minutes.
>
> right I asked earlier if that's what you were doing.   this is not unlike
> starting and stopping the database for each test, which would also make
> tests take many seconds each so it's better to create the datamodel just
> once per process and have it used among many tests (unless a single test is
> just one process?)
>

Yes, this makes sense. When we run the entire test suite, we create the
data model just once (per parallelized process), and this part is clear to
me. Thank you.

or is the use case when you are working on something and just want to run
> one test?
>
>
> Yes, this is the use case I'm trying to optimize for.
>
> for now you'd have to try to limit the import scope or otherwise perhaps
> identify if some element of the model is taking a particularly long time to
> initialize in which case we can take a look.
>

Makes sense, thanks. FWIW, I'll link this older issue where you helped our
slow test performance problems by updating SQLAlchemy's accessing of an
enum's `__members__`:

https://github.com/sqlalchemy/sqlalchemy/issues/4758

Obviously, that problem has been addressed, but I wanted to say thank you!

Bill


>
>
> Bill
>
>
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http://www.sqlalchemy.org/

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