python thread pool threadpool usage articles
This article mainly introduces the use of python thread pool threadpool in detail. It has certain reference value. Interested friends can refer to
I am currently working on a video device management project. , devices include (camera, DVR, NVR, etc.), including device information completion, device status push, device stream address push, etc. If a large number of devices are imported at the same time, if a single thread is used for device detection, then due to the large number of devices If there are too many, it will bring a large delay, so consider multi-threading to handle this problem.
You can use python language to implement the thread pool yourself, or you can use the third-party package threadpool thread pool package. This topic mainly introduces the use of threadpool and its specific implementation.
1. Installation
Use installation:
pip installthreadpool
2 , use
(1) Introduce the threadpool module
(2) Define the thread function
(3) Create a thread pool threadpool.ThreadPool()
(4) Create a thread pool that is required The task to be processed is threadpool.makeRequests()
(5) Put the multiple created tasks into the thread pool, threadpool.putRequest
(6) Wait until all tasks are processed theadpool.pool()
import threadpool def ThreadFun(arg1,arg2): pass def main(): device_list=[object1,object2,object3......,objectn]#需要处理的设备个数 task_pool=threadpool.ThreadPool(8)#8是线程池中线程的个数 request_list=[]#存放任务列表 #首先构造任务列表 for device in device_list: request_list.append(threadpool.makeRequests(ThreadFun,[((device, ), {})])) #将每个任务放到线程池中,等待线程池中线程各自读取任务,然后进行处理,使用了map函数,不了解的可以去了解一下。 map(task_pool.putRequest,request_list) #等待所有任务处理完成,则返回,如果没有处理完,则一直阻塞 task_pool.poll() if __name__=="__main__": main()
The above is a specific thread pool usage process
The specific definition of threadpool is as follows:
class ThreadPool: """A thread pool, distributing work requests and collecting results. See the module docstring for more information. """ def __init__(self, num_workers, q_size=0, resq_size=0, poll_timeout=5): pass def createWorkers(self, num_workers, poll_timeout=5): pass def dismissWorkers(self, num_workers, do_join=False): pass def joinAllDismissedWorkers(self): pass def putRequest(self, request, block=True, timeout=None): pass def poll(self, block=False): pass def wait(self): pass
The next section will introduce the above entire process and each function in detail: python thread pool threadpool (implementation)
Related recommendations:
Implementation of python thread pool threadpool
The above is the detailed content of python thread pool threadpool usage articles. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



PHP and Python each have their own advantages, and choose according to project requirements. 1.PHP is suitable for web development, especially for rapid development and maintenance of websites. 2. Python is suitable for data science, machine learning and artificial intelligence, with concise syntax and suitable for beginners.

The readdir function in the Debian system is a system call used to read directory contents and is often used in C programming. This article will explain how to integrate readdir with other tools to enhance its functionality. Method 1: Combining C language program and pipeline First, write a C program to call the readdir function and output the result: #include#include#include#includeintmain(intargc,char*argv[]){DIR*dir;structdirent*entry;if(argc!=2){

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Configuring an HTTPS server on a Debian system involves several steps, including installing the necessary software, generating an SSL certificate, and configuring a web server (such as Apache or Nginx) to use an SSL certificate. Here is a basic guide, assuming you are using an ApacheWeb server. 1. Install the necessary software First, make sure your system is up to date and install Apache and OpenSSL: sudoaptupdatesudoaptupgradesudoaptinsta

This article will guide you on how to update your NginxSSL certificate on your Debian system. Step 1: Install Certbot First, make sure your system has certbot and python3-certbot-nginx packages installed. If not installed, please execute the following command: sudoapt-getupdatesudoapt-getinstallcertbotpython3-certbot-nginx Step 2: Obtain and configure the certificate Use the certbot command to obtain the Let'sEncrypt certificate and configure Nginx: sudocertbot--nginx Follow the prompts to select

Developing a GitLab plugin on Debian requires some specific steps and knowledge. Here is a basic guide to help you get started with this process. Installing GitLab First, you need to install GitLab on your Debian system. You can refer to the official installation manual of GitLab. Get API access token Before performing API integration, you need to get GitLab's API access token first. Open the GitLab dashboard, find the "AccessTokens" option in the user settings, and generate a new access token. Will be generated

Apache is the hero behind the Internet. It is not only a web server, but also a powerful platform that supports huge traffic and provides dynamic content. It provides extremely high flexibility through a modular design, allowing for the expansion of various functions as needed. However, modularity also presents configuration and performance challenges that require careful management. Apache is suitable for server scenarios that require highly customizable and meet complex needs.

Apache is written in C. The language provides speed, stability, portability, and direct hardware access, making it ideal for web server development.
