On Thu, Mar 5, 2020, at 10:17 AM, Adrien Blin wrote:
> I tried strong referencing the objects stored in the session using :
>
> *def *strong_reference_session(session):
> @event.listens_for(session, "pending_to_persistent")
> @event.listens_for(session, "deleted_to_persistent")
> @ev
I tried strong referencing the objects stored in the session using :
def strong_reference_session(session):
@event.listens_for(session, "pending_to_persistent")
@event.listens_for(session, "deleted_to_persistent")
@event.listens_for(session, "detached_to_persistent")
@event.listens
On Thu, Mar 5, 2020, at 5:17 AM, Adrien Blin wrote:
>
>
> I'll try to recreate the issue for you to test it, but my question really is
> : Is there something I didn't get about memory usage in sqlalchemy, meaning,
> is it normal for it to retain objects in memory, and if so, how can we get
>
I am using memory_profiler (https://pypi.org/project/memory-profiler/) to
measure the memory usage.
I reduced the code to just the request to see ifthe issue only comes from
here :
import gc
import sqlalchemy.orm.session as s
from MyDatabase.model.Table import Table
from memory_profiler impor
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
