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 getting some heap dumps to see if there is something obvious, but thought I'd ask here as well. The application is using the Postgres dialect. Nothing else was changed besides the SQLAlchemy version. It's running in a Docker container with 8 GB of RAM allocated to it. Anyway, I'll continue digging in more, but just asking in case there is something obvious, Tony -- SQLAlchemy - The Python SQL Toolkit and Object Relational Mapper http://www.sqlalchemy.org/ To post example code, please provide an MCVE: Minimal, Complete, and Verifiable Example. See http://stackoverflow.com/help/mcve for a full description. --- You received this message because you are subscribed to the Google Groups "sqlalchemy" group. To unsubscribe from this group and stop receiving emails from it, send an email to sqlalchemy+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/sqlalchemy/33cc0c20-64b7-4624-af68-737347f18c13n%40googlegroups.com.
