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 :ref:`types-chapter` for
more information.
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.
StatsClient().incr(stat, count=1, rate=1)
Increment a :ref:`counter <counter-type>`.
stat: the name of the counter to increment.count: the amount to increment by. Typically an integer. May be negative, but see also :ref:`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.
StatsClient().decr(stat, count=1, rate=1)
Decrement a :ref:`counter <counter-type>`.
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 :ref:`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.
StatsClient().timing(stat, delta, rate=1)
Record :ref:`timer <timer-type>` 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.
with StatsClient().timer(stat, rate=1):
pass
@StatsClient().timer(stat, rate=1)
def foo():
pass
Automatically record timing information for a managed block or function call. See also the :ref:`chapter on timing <timing-chapter>`.
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.
StatsClient().gauge(stat, value, rate=1, delta=False)
Set a :ref:`gauge <gauge-type>` 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 :ref:`gauge <gauge-type>` 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.
StatsClient().set(stat, value, rate=1)
Increment a :ref:`set <set-type>` 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.
StatsClient().pipeline()
Returns a :ref:`Pipeline <pipeline-chapter>` object for collecting several stats. Can also be used as a context manager:
with StatsClient().pipeline() as pipe:
pipe.incr('foo')
pipe = StatsClient().pipeline()
pipe.incr('foo')
pipe.send()
Causes a :ref:`Pipeline <pipeline-chapter>` object to send all batched stats.
Note
This method is not implemented on the base StatsClient class.