Add support for distribution context manager and decorator #581
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dnlserrano
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Is it possible to get a review here @hush-hush? 🙏 |
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Jul 20, 2020
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A decorator or context manager that will measure the distribution of a
function's/context's run time using custom metric DISTRIBUTION.
E.g. of usage follows:
@statsd.distributed('user.query.time', sample_rate=0.5)
def get_user(user_id):
# Do what you need to ...
pass
# Is equivalent to ...
with statsd.distributed('user.query.time', sample_rate=0.5):
# Do what you need to ...
pass
# Is equivalent to ...
start = time.time()
try:
get_user(user_id)
finally:
statsd.distribution('user.query.time', time.time() - start)
Closes DataDog#563
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Jul 21, 2020
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/azp run |
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Azure Pipelines successfully started running 2 pipeline(s). |
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Thanks @dnlserrano for the PR ! |
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What does this PR do?
Takes a stab at #563.
Introduces the ability to use a context manager or decorator for the custom
DISTRIBUTIONmetric.Description of the Change
Introduces new
DistributedContextManagerDecoratorwhich allows one to use a new context manager or decorator (e.g.,statsd.distributed). It does the same asTimedContextManagerDecorator(it is a subclass of it afterall), but changes the timing metric to usestatsd.distributioninstead ofstatsd.timing.Thinking ahead, we do it by re-defining the
self.timing_funcused, which may later be passed in as an option tostatsd.timer, as discussed here.Alternate Designs
We could have gone with the global switch from the get go, but decided to be more conservative from the start following @hush-hush's comment.
Possible Drawbacks
Not sure if we can afford doing this change at the level of the general
context.py. I'm not aware if this is used for Statsd-compatible metrics only or if it allows for changes regarding custom metrics, which is the case forDISTRIBUTION, as far as I'm aware. Appreciate any inputs there.Verification Process
Ran test with both
tox -e flake8andtox -e py36locally. Also experimented with the context manager after installing the changes locally usingpip install -e <path_to_cloned_project_dir>, following yourDEVELOPMENTguide. Usedjimf/statsd-loggerfor quick-and-dirty experiment.Additional Notes
Python noob here, so please bear with. 🐻
Release Notes
Should be backwards compatible since it only introduces new behaviour, it does not break previous usage. Please double-check.
Review checklist (to be filled by reviewers)
changelog/label attached. If applicable it should have thebackward-incompatiblelabel attached.do-not-merge/label attached.kind/andseverity/labels attached at least.