Recently made a nine-Gongge with TableView. Two cell multiplexing problems were encountered during the process.Question one:When you add a Addtarget Click event to a button in a cell, the cell that precedes it overlaps the event of the cell that appears behind it. The code is as follows:C codeStaticNSString *cellwithidentifier =@"Discoverhometableviewcell"; Discoverhometableviewcell*CELL1 =[TableView dequeuereusablecellwithidentifier:cellwithidentifie
1, select, poll a few shortcomingsRecall the interface of select and pollint Select (int Nfds, fd_set *readfds, fd_ Set *writefds, fd_set *exceptfds, struct Timeval *timeout);int Poll (struct POLLFD *fds, nfds_t nfds, int timeout);The two multiplexing implementations are characterized by:
Each call to select and poll sets the set of events that the user cares about (select is the Readfds,writefds,exceptfds collection, poll is the FDS struct
Source: http://www.cnblogs.com/zhuyp1015/p/3560095.htmlIn network programming using I/O multipexing (Network-multiplexing (that is, multiple signals share a single network channel, resulting in network large I/O), it is generally necessary to use a non-blocking network programming style to prevent the server from blocking on a file descriptor when dealing with high-volume connections. For example, a socket has a large amount of data to write, but the
);Input.clear ();try{int bytesread = Socket.read (input);......Activate the thread pool to process these requestRequestHandle (New Request (SOCKET,BTT));.....}catch (Exception e) {}}
Notice in the handler inside again run a attach, so, cover the front acceptor, the next time the handler and the Read event occurs, will trigger the handler directly. This begins the process of reading and writing the data.After the data has been read out, it is possible to make these data processing threads
NetScaler's ultra-high-end port multiplexing helps address tension in the public networkhttp://blog.51cto.com/caojin/1898351Often people ask an IP only 65535 (regardless of the reserved port), from big-IP migration to the NetScaler need not increase the number of IP addresses to cope with large throughput scenarios, especially the application of link load balancing?As we all know, netscaler contrast big-IP has obvious savings in address characteristic
Reading notesI/O multiplexing allows the program to listen to multiple file descriptors at the same time, which is critical to improving the performance of the program.The main system calls for I/O multiplexing under Linux are Select, poll, Epoll.SelectThe user has 3 parameters to each of the readable, writable and abnormal events of interest, and the kernel feeds back the ready events by modifying these pa
"IO refers to the input and output, part refers to the file operation, and partNetwork transport operations, such as SOEKCT, are one of them; multiplexing refers to theUse a mechanism that uses multiple IO simultaneously, such as listening to multiple file sentences simultaneouslyHandle (once the socket object transmits or receives information), once the file handle isNow, the change will immediately perceive‘‘‘1. Enable multi-person simultaneous conn
Introduction and implementation of IO multiplexing (SELECT, poll, Epoll)Io multiplexing includes SELECT, pool, Epoll, which are synchronous and not asynchronousI. Introduction of IO multiplexing1. SelectSelect was first seen in 1983 in 4.2BSD, and it is used by a select () system to monitor arrays of multiple file descriptors, and when select () returns, the ready file descriptor in the array is changed by
(1) The preface has just begun to learn STM32, of course, is lit LED lights, from arm "Hello word" began. Software installation, hardware connection, the previous article has been said, there is no more to say.
(2) Experimental purpose: Use STM32F10C8T6 to complete the function of running lights.
(3) The introduction of the experiment encountered the problem: The program is finished, the lamp is not bright, commissioning for two hours, finally found the reason, leave a suspense, and later.
(4)
Print("running on number:%s"%self.num) Time.sleep (3) if __name__=='__main__': T1= MyThread (1) T2= MyThread (2) T1.start () T2.start ()Thread Lock (lock, Rlock)Because there is a random dispatch between threads, and each thread may execute only N, dirty data may appear when multiple threads modify the same piece of data at the same time, so a thread lock is present-allowing one of the threads to perform the operation at the same time.Unused locks:#!/usr/bin/env python#-*-coding:utf-8-*
This article describes how to implement port multiplexing in Python as follows:
# Coding = utf-8import socketimport sysimport selectimport threadinghost = '2017. 168.99.100 'port = 80 class Thread (threading. thread): def _ init _ (self, buf, sockfd): threading. thread. _ init _ (self) self. buf = buf self. sockfd = sockfd def run (self): if len (self. buf )! = 0: if 'get' in self. buf: # determine whether the data is submitted by the browser. If yes,
thread can be used to process other requests when the request is disposed of immediately. This means fewer threads are needed!What do I do with this information? In that case, which one should you use? In my opinion, with my most loyal advice, everyone should use the worker MPM because it is quite good in concurrency and uses less RAM memory, although if there is a problem with compatibility, you may need to switch back to Prefork.If you are using the latest version of Apache, you can try using
course, it is no problem not to put them here ...... See your personal preferences). The specific SQL statement is as follows:SYS @ ENMOEDU> select name from v $ controlfile; NAME------------------------------/U01/app/oracle/oradata/ENMOEDU/control01.ctl/U01/app/oracle/fast_recovery_area/ENMOEDU/control02.ctlThe path and name of my control file are clearly displayed here. Also, careful readers should find out that I am a very careful person, my control files are in two copies. In this case, if
one thread. Application scenario: When there are a large number of operations in the program that do not require the CPU (IO), it is suitable for the association process;#co-process#From greenlet import Greenlet##def test1 ():#print (All)#Gr2.switch ()#print ($)#Gr2.switch ()##def test2 ():#print (+)#Gr1.switch ()#Print (%)##Gr1 = Greenlet (test1)#GR2 = Greenlet (test2)#Gr1.switch ()# Two development according to the Association process:+IO fromGeventImportmonkey; Monkey.patch_all ()Importgeven
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