Hello SQLAlchemists,
What is (or what do you think is) the load that SQLAlchemy can handle
with the default engine options of pool_size=5 and max_overflow=10?
The application I'm working on has the potential for bursts of
thousands of requests in a few seconds, so I am concerned about load.
Is
I was just looking for the solution to a similar problem...
I think the way you're thinking about it actually does work...at
least, it does for me! See below:
y = select([table]).execute().fetchall()
for x in y:
... print x.__dict__
...
{'_RowProxy__parent':
