Python logging question

koranthala at koranthala at
Fri Jan 2 14:38:41 CET 2009

On Jan 2, 6:21 pm, Vinay Sajip <vinay_sa... at> wrote:
> On Jan 2, 11:31 am, koranth... at wrote:
> >     I am confused reading both together. I will try to explain my
> > confusion with an example:
> > basicLogger =logging.getLogger("basic")
> > Class A():
> >   def __init__(self):
> >      self.logger =logging.getLogger("basic.class_a")
> >    Now, I make say 10 instances of A and then delete one by one.
> > My understanding was that since the same name is used, a single
> > basic.class_a logger object is created inside theloggingsystem, and
> > any calls to getLogger("basic.class_a") would return the same object
> > everytime.
> That is correct. The logger instances stay around for the life of the
> process, and are not garbage collected.
> > So, my confusion is based on the second tutorial item I mentioned -
> > why is it not a good idea to create logger instances on a per-instance
> > basis? We are not creating new instances, right? And, if I create an
> > instance of A, it will be garbage collected later, right?
> It's not a problem to create loggers per *class*, as in your example.
> It can be a bad idea to create different logger per class *instances*.
> The second example in the docs talks about creating loggers on a per-
> connection basis in a networked app. This is not per connection class,
> mind you, but per connection instance. You would typically have only a
> few dozen classes, but you might have hundreds of thousands of
> connection instances created in a long-lived server app. If you
> created a unique logger for each connection, for example based on the
> time the connection was instantiated - e.g. with name "connection.
> 20090102123456543", this would create hundreds of thousands of unique
> logger instances and have a potentially adverse impact on process
> memory. That's when you use LoggerAdapters.
> I hope that's clearer.
> Regards,
> Vinay Sajip

Thank you very much Vinay.
I was confused by the way it was mentioned in the tutorial.
Again, Thank you

More information about the Python-list mailing list