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with statsd.timer('foo'):
for i in xrange(0, 100000):
i ** 2
statsd.gauge('foo', 70) # Set the 'foo' gauge to 70.
statsd.gauge('foo', 1, delta=True) # Set 'foo' to 71.
statsd.gauge('foo', -3, delta=True) # Set 'foo' to 68.
statsd.incr('some.event')
statsd.incr('some.other.event', 10)
statsd.incr('some.third.event', rate=0.1)
statsd.set('users', userid)
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from functools import wraps
from statsd import StatsClient
from time import sleep
statsd = StatsClient('127.0.0.1', 8125)
class Metric(object):
def __init__(self, metric):
self.metric = metric
def __call__(self, f):
@wraps(f)
def decorated(*args, **kwargs):
with statsd.timer(self.metric):
return f(*args, **kwargs)
return decorated
@Metric('test')
def test():
sleep(5)
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from flask import Flask
from time import sleep
app = Flask(__name__)
@app.route('/login/')
@Metric('view.login')
def login(username):
if not username:
statsd.incr('login.failed')
return 'Login failed
sleep(1)
statsd.incr('login.success')
return 'Login success'
if __name__ == '__main__':
app.run()
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from django.core.urlresolvers import resolve
from statsd.defaults.env import statsd
class Statsd(object):
def process_request(self, request):
self.current_view = resolve(request.path).url_name
statsd.incr('view.stats.{0}'.format(self.current_view))
self.timer = statsd.timer('view.{0}'.format(self.current_view))
self.timer.start()
def process_response(self, request, response):
self.timer.stop()
return response
def process_exception(self, request, exception):
statsd.incr('view.exceptions.{0}'.format(self.current_view))
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[server]
….
[[StatsdHandler]]
host = statsd.example.com
port = 8125
[collectors]
[[default]]
[[CPUCollector]]
enabled = True
[[DiskSpaceCollector]]
enabled = True
[[DiskUsageCollector]]
enabled = True
[[LoadAverageCollector]]
enabled = True
…
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$ curl -X POST \
-d '[{"name":"foo","columns":["val"],"points":[[23]]}]' \
'http://localhost:8086/db/demo/series?u=root&p=root'
$ curl -G 'http://localhost:8086/db/demo/series?u=root&p=root' \
--data-urlencode "q=select * from foo limit 1"
#Result
[{
"name": "foo",
"columns": [
"time", "sequence_number", "val"
],
"points": [
[
1428909579501, 25996840001, 23
]
]
}]
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select
value
from "view.choicelist.timer.mean"
where time > now() - 1h
limit 1000;
select
mean(value)
from "view.choicelist.timer.mean"
where time > now() - 2h
group by time(10m);
select
max(value)
from "view.choicelist.timer.mean"
where time > now() - 2h
group by time(10m);
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