修改Python的pyxmpp2中的主循環(huán)使其提高性能
引子
之前clubot使用的pyxmpp2的默認mainloop也就是一個poll的主循環(huán),但是clubot上線后資源占用非常厲害,使用strace跟蹤發(fā)現(xiàn)clubot在不停的poll,查看pyxmpp2代碼發(fā)現(xiàn)pyxmpp2的poll在使用超時阻塞時使用最小超時時間,而最小超時時間一直是0,所以會變成一個沒有超時的非阻塞poll很浪費資源,不打算更改庫代碼,所以自己仿照poll的mainloop寫了一個更加高效的epoll的mainloop
實現(xiàn)
#!/usr/bin/env python
# -*- coding:utf-8 -*-
#
# Author : cold
# E-mail : wh_linux@126.com
# Date : 13/01/06 10:41:31
# Desc : Clubot epoll mainloop
#
from __future__ import absolute_import, division
import select
from pyxmpp2.mainloop.interfaces import HandlerReady, PrepareAgain
from pyxmpp2.mainloop.base import MainLoopBase
from plugin.util import get_logger
class EpollMainLoop(MainLoopBase):
""" Main event loop based on the epoll() syscall on Linux system """
READ_ONLY = (select.EPOLLIN | select.EPOLLPRI | select.EPOLLHUP |
select.EPOLLERR |select.EPOLLET)
READ_WRITE = READ_ONLY | select.EPOLLOUT
def __init__(self, settings = None, handlers= None):
self.epoll = select.epoll()
self._handlers = {}
self._unprepared_handlers = {}
self._timeout = None
self._exists_fd = {}
self.logger = get_logger()
MainLoopBase.__init__(self, settings, handlers)
return
def _add_io_handler(self, handler):
self._unprepared_handlers[handler] = None
self._configure_io_handler(handler)
def _configure_io_handler(self, handler):
if self.check_events():
return
if handler in self._unprepared_handlers:
old_fileno = self._unprepared_handlers[handler]
prepared = self._prepare_io_handler(handler)
else:
old_fileno = None
prepared = True
fileno = handler.fileno()
if old_fileno is not None and fileno != old_fileno:
del self._handlers[old_fileno]
self._exists.pop(old_fileno, None)
self.epoll.unregister(old_fileno)
if not prepared:
self._unprepared_handlers[handler] = fileno
if not fileno:
return
self._handlers[fileno] = handler
events = 0
if handler.is_readable():
events |= self.READ_ONLY
if handler.is_writable():
events |= self.READ_WRITE
if events:
if fileno in self._exists_fd:
self.epoll.modify(fileno, events)
else:
self._exists_fd.update({fileno:1})
self.epoll.register(fileno, events)
def _prepare_io_handler(self, handler):
ret = handler.prepare()
if isinstance(ret, HandlerReady):
del self._unprepared_handlers[handler]
prepared = True
elif isinstance(ret, PrepareAgain):
if ret.timeout is not None:
if self._timeout is not None:
self._timeout = min(self._timeout, ret.timeout)
else:
self._timeout = ret.timeout
prepared = False
else:
raise TypeError("Unexpected result from prepare()")
return prepared
def _remove_io_handler(self, handler):
if handler in self._unprepared_handlers:
old_fileno = self._unprepared_handlers[handler]
del self._unprepared_handlers[handler]
else:
old_fileno = handler.fileno()
if old_fileno is not None:
try:
del self._handlers[old_fileno]
self._exists.pop(old_fileno, None)
self.epoll.unregister(old_fileno)
except KeyError:
pass
def loop_iteration(self, timeout = 60):
next_timeout, sources_handled = self._call_timeout_handlers()
if self.check_events():
return
if self._quit:
return sources_handled
for handler in list(self._unprepared_handlers):
self._configure_io_handler(handler)
if self._timeout is not None:
timeout = min(timeout, self._timeout)
if next_timeout is not None:
timeout = min(next_timeout, timeout)
if timeout == 0:
timeout += 1 # 帶有超時的非阻塞,解約資源
events = self.epoll.poll(timeout)
for fd, flag in events:
if flag & (select.EPOLLIN | select.EPOLLPRI | select.EPOLLET):
self._handlers[fd].handle_read()
if flag & (select.EPOLLOUT|select.EPOLLET):
self._handlers[fd].handle_write()
if flag & (select.EPOLLERR | select.EPOLLET):
self._handlers[fd].handle_err()
if flag & (select.EPOLLHUP | select.EPOLLET):
self._handlers[fd].handle_hup()
#if flag & select.EPOLLNVAL:
#self._handlers[fd].handle_nval()
sources_handled += 1
self._configure_io_handler(self._handlers[fd])
return sources_handled
使用
如何使用新的mainloop?只需在實例化Client時傳入
mainloop = EpollMainLoop(settings) client = Client(my_jid, [self, version_provider], settings, mainloop)
這樣就會使用epoll作為mainloop
注意
epoll僅僅在Linux下支持
相關文章
Python?pycryptodome庫實現(xiàn)RSA加密解密消息
本文為大家介紹了如何在?Python?中使用?RSA?公鑰加密技術來加密和解密消息,并使用?pycryptodome?庫進行實現(xiàn),有需要的朋友可以借鑒參考下,希望能夠有所幫助2024-02-02
教你怎么用PyCharm為同一服務器配置多個python解釋器
當我們在服務器上創(chuàng)建了多個虛擬環(huán)境時,也可以在 PyCharm 中配置這些虛擬環(huán)境,方便不同的項目使用不同的環(huán)境,然而按照網(wǎng)上教程添加多個python解釋器后,PyCharm會自動幫我們創(chuàng)建多個重復的服務器,本文主要給出該問題的解決方法,同時也對添加解釋器做一個詳細的講解2021-05-05
python+requests接口壓力測試500次,查看響應時間的實例
這篇文章主要介紹了python+requests接口壓力測試500次,查看響應時間的實例,具有很好的參考價值,希望對大家有所幫助。一起跟隨小編過來看看吧2020-04-04
Python文件基本操作open函數(shù)應用與示例詳解
這篇文章主要為大家介紹了Python文件基本操作open函數(shù)應用與示例詳解,有需要的朋友可以借鑒參考下,希望能夠有所幫助,祝大家多多進步,早日升職加薪2023-12-12
python利用winreg生成桌面路徑及實現(xiàn)掃描二維碼圖片返回相關信息
這篇文章主要介紹了python生成桌面路徑及實現(xiàn)掃描二維碼圖片返回相關信息,winreg是python的一個標準庫,用來對windows注冊表的操作,更多相關內(nèi)容需要的小伙伴可以參考一下2022-06-06
Python虛擬環(huán)境virtualenv的安裝與使用詳解
virtualenv可以用來管理互不干擾的獨立python虛擬環(huán)境,在有些場景下非常有用,下面這篇文章主要給大家介紹了Python虛擬環(huán)境virtualenv安裝與使用的相關資料,需要的朋友可以參考借鑒,下面來一起看看吧。2017-05-05

