On Fri, Oct 21, 2022, at 12:00 AM, 'Tony Cosentini' via sqlalchemy wrote:
> Hi,
>
> We recently upgraded our application (a Flask web app) from SQLAlchemy 1.3.19
> to 1.4.41.
>
> Overall things are stable, but we have noticed a very large increase in
> memory use:
> Screen Shot 2022-10-21 at
Hi,
We recently upgraded our application (a Flask web app) from SQLAlchemy
1.3.19 to 1.4.41.
Overall things are stable, but we have noticed a very large increase in
memory use:
[image: Screen Shot 2022-10-21 at 11.26.18 AM.png]
Is this from the new query caching feature? I'm planning on
Hello,
I call a function in my template that returns sqlalchemy query result,
(color value from the name of the tag). this is the query function :
*def get_tag_color(name): *
*return db.session.query(Tag.tag_color).filter(Tag.tag_name ==
name).scalar() *
and I call it in my template file:
* {%