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statsd-client
Advanced tools
Node.js client for statsd.
var sdc = new require('statsd-client')({host: 'statsd.example.com'});
var timer = new Date();
sdc.increment('some.counter'); // Increment by one.
sdc.gauge('some.gauge', 10); // Set gauge to 10
sdc.timing('some.timer', timer); // Calculates time diff
sdc.close(); // Optional - stop NOW
var SDC = require('statsd-client'),
sdc = new SDC({host: 'statsd.example.com', port: 8124, debug: true});
Available options:
host
: Where to send the stats (default localhost
).debug
: Print what is being sent to stderr (default false
).port
: Port to contact the statsd-daemon on (default 8125
).prefix
: Prefix all stats with this value (default ""
).socketTimeout
: Auto-closes the socket after this long without activity
(default 1000 ms; 0 disables this).Counters are supported, both as raw .counter(metric, delta)
and with the
shortcuts .increment(metric, [delta=1])
and .decrement(metric, [delta=-1])
:
sdc.increment('systemname.subsystem.value'); // Increment by one
sdc.decrement('systemname.subsystem.value', -10); // Decrement by 10
sdc.counter('systemname.subsystem.value', 100); // Indrement by 100
Sends an arbitrary number to the back-end:
sdc.gauge('what.you.gauge', 100);
Send unique occurences of events between flushes to the back-end:
sdc.set('your.set', 200);
Keep track of how fast (or slow) your stuff is:
var start = new Date();
setTimeout(function () {
sdc.timing('random.timeout', start);
}, 100 * Math.random());
If it is given a Date
, it will calculate the difference, and anything else
will be passed straight through.
And don't let the name (or nifty interface) fool you - it can measure any kind of number, where you want to see the distribution (content lengths, list items, query sizes, ...)
There's also a helper for measuring stuff in Express.js via middleware:
var app = express();
sdc = new StatsDClient({...});
app.use(sdc.helpers.getExpressMiddleware('somePrefix'));
// or
app.get('/',
sdc.helpers.getExpressMiddleware('otherPrefix'),
function (req, res, next) { req.pipe(res); });
app.listen(3000);
This will count responses by status-code (prefix.<statuscode>
) and the
overall response-times.
It can also measure per-URL (e.g. PUT to /:user/:thing
will become
PUT_user_thing
by setting the timeByUrl: true
in the options
-object:
app.use(sdc.helpers.getExpressMiddleware('prefix', { timeByUrl: true }));
As the names can become rather odd in corner-cases (esp. regexes and non-REST
interfaces), you can specify another value by setting res.locals.statsdUrlKey
at a later point.
By default, the socket is closed if it hasn't been used for a second (see
socketTimeout
in the init-options), but it can also be force-closed with
.close()
:
var start = new Date();
setTimeout(function () {
sdc.timing('random.timeout', start); // 2 - implicitly re-creates socket.
sdc.close(); // 3 - Closes socket after last use.
}, 100 * Math.random());
sdc.close(); // 1 - Closes socket early.
The call is idempotent, so you can call it "just to be sure". And if you submit new metrics later, the socket will automatically be re-created, and a new timeout-timer started.
The library supports getting "child" clients with extra prefixes, to help with making sane name-spacing in apps:
// Create generic client
var sdc = new StatsDClient({host: 'statsd.example.com', prefix: 'systemname');
sdc.increment('foo'); // Increments 'systemname.foo'
... do great stuff ...
// Subsystem A
var sdcA = sdc.getChildClient('a');
sdcA.increment('foo'); // Increments 'systemname.a.foo'
// Subsystem B
var sdcB = sdc.getChildClient('b');
sdcB.increment('foo'); // Increments 'systemname.b.foo'
Internally, they all use the same socket, so calling .close()
on any of them
will allow the entire program to stop gracefully.
Check the GitHub issues.
ISC - see LICENSE.
FAQs
Yet another client for Etsy's statsd
We found that statsd-client demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 2 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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