A simple statsd client.
>>> import statsd >>> c = statsd.StatsClient('localhost', 8125) >>> c.incr('foo') # Increment the 'foo' counter. >>> c.timing('stats.timed', 320) # Record a 320ms 'stats.timed'.
If you’re lucky enough to be using statsd in Django, you can configure a default client in your settings module with two values. The defaults are:
STATSD_HOST = 'localhost' STATSD_PORT = 8125
Then instead of instantiating a new client every time, you can just grab:
>>> from statsd import statsd >>> statsd.incr('foo')
You can use a StatsClient instance as a context manager to easily time sections of code with the timer() method:
>>> from statsd import statsd >>> with statsd.timer('bar'): ... func() ... func()
When the managed block exits, the client will automatically send the time it took to statsd.
You can also use a StatsClient instance as a decorator, also with the timer() method:
>>> from statsd import statsd >>> @statsd.timer('bar') ... def foo(): ... pass
Every time foo() is called, timing information will be sent to the stat bar.
All methods support an optional rate (kw)arg. This is a float between 0 and 1 that specifies what fraction of data to send through (for a specific call). Sample rates are recorded by statsd.
For example, here foo will be incremented approximately 50% of the time:
>>> from statsd import statsd >>> statsd.incr('foo', 1, rate=0.5)
Statsd understands that this is a 50% sample rate and will adjust accordingly.
Similarly with decr() and timings:
>>> from statsd import statsd >>> statsd.decr('foo', 1, rate=0.5) >>> statsd.timing('foo', 320, rate=0.25) >>> with statsd.timer('bar', rate=0.1): ... pass >>> @statsd.timer('bar', rate=0.5) ... def foo(): ... pass
Release history Release notifications
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size statsd-0.2.0.tar.gz (4.6 kB)||File type Source||Python version None||Upload date||Hashes View|