Hello,
I wanted to start this out with a big thanks to the community,
especially Mike Bayer, Simon King, and Jonathan Vanasco.
A few weeks ago I asked for help on debugging sqlalchemy and was able to
use the combined feedback, tips, and tricks presented to build a handy
little package for debugging flask+sqlalchemy.
The main goal was to get a handle on the number of queries being made by
the orm and the latency involved.
I've just released the 0.2 version of a new package "flask_sqla_debug",
you can find it on pypi (https://pypi.python.org/pypi/flask_sqla_debug)
and github (https://github.com/splbio/flask_sqla_debug).
Right now it can:
1) turn on logging of sql statements for some blocks of code.
2) log/assert if a single query takes too long (~200ms).
3) log/assert if the combined queries inside of a request take too long
(~200ms).
4) log/assert if the number of queries exceeds a threshold. (~20)
Most of these logs/asserts thresholds can be tuned per-endpoint,
although there are handy defaults.
We are using it in our project now and finding all sorts of areas to
optimize. It's been very handy just having it now for a week installed
in our project.
To use it, just "pip install flask_sqla_debug" and then add this code to
your flask app:
flask_app.flask_sql_debug = FlaskSqlaDebug(app=flask_app,
engine=db.engine)
I'd love some feedback on features, documentation or anything else you
have input on.
thanks again folks, this wouldn't have been possible without your help.
-Alfred
--
SQLAlchemy -
The Python SQL Toolkit and Object Relational Mapper
http://www.sqlalchemy.org/
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