Python Paste using Bottle framework Broken Pipe Error

Question

I am using Bottle framework implementing the WSGI Request and response and because of the single thread issue, I changed the server into PythonWSGIServer and tested with Apache bench but the result consist of error broken pipe which is similar with this question How to prevent errno 32 broken pipe?. I have tried the answer but to no avail.

  Traceback (most recent call last):
  File "/Library/Python/2.7/site-packages/paste/httpserver.py", line 1068, in process_request_in_thread
    self.finish_request(request, client_address)
  File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/SocketServer.py", line 323, in finish_request
    self.RequestHandlerClass(request, client_address, self)
  File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/SocketServer.py", line 641, in __init__
    self.finish()
  File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/SocketServer.py", line 694, in finish
    self.wfile.flush()
  File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/socket.py", line 303, in flush
    self._sock.sendall(view[write_offset:write_offset+buffer_size])
error: [Errno 32] Broken pipe

The server code is shown below, and I have no idea how to improve the connection, using thread pool?

from paste import httpserver

    @route('/')
    def index():
        connection = pymongo.MongoClient(connectionString)
        db = connection.test
        collection = db.test
        return str(collection.find_one())

    application = default_app()
    httpserver.serve(application, host='127.0.0.1', port=8082)

Answer 1

The problem is due to WSGIServer is a synchronous server, and it is not applicable for high concurrent users sending requests at the same time. In order to bypass these fallbacks, there are a lot of third-party frameworks can be used. Popular among them are Gevent greenlet libraries, Tornado, and CherryPy. All of them are based on Event-driven and asynchronous methodologies, enabling them to handle multiple concurrent users.