API Reference
The StatsClient provides accessors for all the types of data the
statsd server supports.
Note
Each public API method supports a rate parameter, but statsd
doesn’t always use it the same way. See the Data Types for
more information.
StatsClient
StatsClient(host='localhost', port=8125, prefix=None)
Create a new StatsClient instance with the appropriate connection
and prefix information.
- host: the hostname or IPv4 address of the statsd server.
- port: the port of the statsd server.
- prefix: a prefix to distinguish and group stats from an
application or environment.
incr
StatsClient().incr(stat, count=1, rate=1)
Increment a counter.
- stat: the name of the counter to increment.
- count: the amount to increment by. Typically an integer. May be
negative, but see also decr.
- rate: a sample rate, a float between 0 and 1. Will only send data
this percentage of the time. The statsd server will take the sample
rate into account for counters.
decr
StatsClient().decr(stat, count=1, rate=1)
Decrement a counter.
- stat: the name of the counter to decrement.
- count: the amount to decrement by. Typically an integer. May be
negative but that will have the impact of incrementing the counter.
See also incr.
- rate: a sample rate, a float between 0 and 1. Will only send data
this percentage of the time. The statsd server will take the sample
rate into account for counters.
gauge
StatsClient().gauge(stat, value, rate=1, delta=False)
Set a gauge value.
- stat: the name of the gauge to set.
- value: the current value of the gauge.
- rate: a sample rate, a float between 0 and 1. Will only send data
this percentage of the time. The statsd server does not take the
sample rate into account for gauges. Use with care.
- delta: whether or not to consider this a delta value or an
absolute value. See the gauge type for more
detail.
Note
Gauges were added to the statsd server in commit 0ed78be. If you try
to use this method with an older version of the server, the data will
not be recorded.
set
StatsClient().set(stat, value, rate=1)
Increment a set value.
- stat: the name of the set to update.
- value: the unique value to count.
- rate: a sample rate, a float between 0 and 1. Will only send data
this percentage of the time. The statsd server does not take the
sample rate into account for sets. Use with care.
Note
Sets were added to the statsd server in commit 1c10cfc0ac_. If you
try to use this method with an older version of the server, the
data will not be recorded.
timing
StatsClient().timing(stat, delta, rate=1)
Record timer information.
- stat: the name of the timer to use.
- delta: the number of milliseconds whatever action took. Should
always be milliseconds.
- rate: a sample rate, a float between 0 and 1. Will only send data
this percentage of the time. The statsd server does not take the
sample rate into account for timers.
timer
with StatsClient().timer(stat, rate=1):
pass
@StatsClient().timer(stat, rate=1)
def foo():
pass
timer = StatsClient().timer('foo', rate=1)
Automatically record timing information for a managed block or function
call. See also the chapter on timing.
- stat: the name of the timer to use.
- rate: a sample rate, a float between 0 and 1. Will only send data
this percentage of the time. The statsd server does not take the
sample rate into account for timers.
start
StatsClient().timer('foo').start()
Causes a timer object to start counting. Called automatically when the
object is used as a decorator or context manager. Returns the timer
object for simplicity.
stop
timer = StatsClient().timer('foo').start()
timer.stop()
Causes the timer object to stop timing and send the results to statsd.
Can be called with send=False to prevent immediate sending
immediately, and use send(). Called automatically when the object is
used as a decorator or context manager. Returns the timer object.
If stop() is called before start(), a RuntimeError is
raised.
send
timer = StatsClient().timer('foo').start()
timer.stop(send=False)
timer.send()
Causes the timer to send any unsent data. If the data has already been
sent, or has not yet been recorded, a RuntimeError is raised.
pipeline
Returns a Pipeline object for collecting
several stats. Can also be used as a context manager:
with StatsClient().pipeline() as pipe:
pipe.incr('foo')
send
pipe = StatsClient().pipeline()
pipe.incr('foo')
pipe.send()
Causes a Pipeline object to send all batched
stats.
Note
This method is not implemented on the base StatsClient class.