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.
Warning
Decorators are not thread-safe and may cause errors when decorated functions are called concurrently. Use context managers or raw timers instead.
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.
Note
See the note abbout timer objects and pipelines.