Merge pull request #644 from kszucs/master

Example to use dask distibuted

examples/dask_distributed.py

@@ -0,0 +1,41 @@
+from sanic import Sanic
+from sanic import response
+
+from tornado.platform.asyncio import BaseAsyncIOLoop, to_asyncio_future
+from distributed import LocalCluster, Client
+
+
+app = Sanic(__name__)
+
+
+def square(x):
+    return x**2
+
+
+@app.listener('after_server_start')
+async def setup(app, loop):
+    # configure tornado use asyncio's loop
+    ioloop = BaseAsyncIOLoop(loop)
+
+    # init distributed client
+    app.client = Client('tcp://localhost:8786', loop=ioloop, start=False)
+    await to_asyncio_future(app.client._start())
+
+
+@app.listener('before_server_stop')
+async def stop(app, loop):
+    await to_asyncio_future(app.client._shutdown())
+
+
+@app.route('/<value:int>')
+async def test(request, value):
+    future = app.client.submit(square, value)
+    result = await to_asyncio_future(future._result())
+    return response.text(f'The square of {value} is {result}')
+
+
+if __name__ == '__main__':
+    # Distributed cluster should run somewhere else
+    with LocalCluster(scheduler_port=8786, nanny=False, n_workers=2,
+                      threads_per_worker=1) as cluster:
+        app.run(host="0.0.0.0", port=8000)