how are you measuring memory ? is that a Python memory profiler? note that the
Python interpreter on the outside is not very consistent about returning memory
to the OS. if this is within Python then you'd just have a garbage collection
issue and you'd want to look at GC debugging. as always, th
Hello,
I'm having troubles understanding how to deal with memory management with
sqlalchemy.
Here is my issue. I have a big script requesting data from a PostgreSQL DB.
I process this data, and insert the generated data in my DB.
On the beggining of the process, I request an object from my DB
produce a script that reproduces the same results and share it here. this means
writing a small script that looks like the same thing you are doing, but
without your whole environment. if it does not leak memory, then you have to
slowly change one element at a time until it looks more and more l
the pool might be trying to emit an info message, not really sure, there is
some complex process by which Python logging either auto-configures itself, or
doesnt. Since Alembic has the env.py call upon fileConfig(), that would be the
logging config here. Add a logging config for it to your alemb
I tried the obj.expire(obj) and it did unfortunately not change anything. I
still have accumulating used memory for whatever reason. When I did profile
the code I saw that sometime engine objects use memory and sometimes
session.
Do any of you guys have any other suggestions
Le jeudi 27 févri
