[](https://travis-ci.org/hunterloftis/stoppable)
npm install stoppable
> Node's server.close() the way you probably expected it to work by default.
``js`
const server = stoppable(http.createServer(handler))
server.stop()
Stoppable stops accepting new connections and closes existing, idle connections (including keep-alives)
without killing requests that are in-flight.
- Node.js v6+
Node.js v4.x is unofficially supported.
`bash`
yarn add stoppable
(or use npm)
constructor
`js`
stoppable(server, grace)
Decorates the server instance with a stop method.
Returns the server instance, so can be chained, or can be run as a standalone statement.
- server: Any HTTP or HTTPS Server instance
- grace: Milliseconds to wait before force-closing connections
grace defaults to Infinity (don't force-close).
If you want to immediately kill all sockets you can use a grace of 0.
stop()
`js`
server.stop(callback)
Closes the server.
- callback: passed along to the existing server.close function to auto-register a 'close' event.
The first agrument is an error, and the second argument is a boolean that indicates whether it stopped gracefully.
- Monkey patching generally sucks, but in this case it's the nicest API. Let's call it "decorating."
- grace could be specified on stop, but it's better to match the existing server.close API.FIN
- Clients should be handled respectfully, so we aren't just destroying sockets, we're sending packets first.stop
- Any solution to this problem requires bookkeeping on every connection and request/response.
We're doing a minimum of work on these "hot" code paths and delaying as much as possible to the actual method.
There's no way to provide this functionality without bookkeeping on connection, disconnection, request, and response.
However, Stoppable strives to do minimal work in hot code paths and to use optimal data structures.
I'd be interested to see real-world performance benchmarks;
the simple loopback artillery benchmark included in the lib shows very little overhead from using a stoppable server:
`plain`
Scenarios launched: 10000
Scenarios completed: 10000
Requests completed: 10000
RPS sent: 939.85
Request latency:
min: 0.5
max: 51.3
median: 2.1
p95: 3.7
p99: 15.3
Scenario duration:
min: 1
max: 60.7
median: 3.6
p95: 7.6
p99: 19
Scenario counts:
0: 10000 (100%)
Codes:
200: 10000
`plain``
Scenarios launched: 10000
Scenarios completed: 10000
Requests completed: 10000
RPS sent: 940.73
Request latency:
min: 0.5
max: 43.4
median: 2.1
p95: 3.8
p99: 15.5
Scenario duration:
min: 1.1
max: 57
median: 3.7
p95: 8
p99: 19.4
Scenario counts:
0: 10000 (100%)
Codes:
200: 10000
MIT