Table of Contents
Example
Output
Home Backend Development Python Tutorial How to distribute work to a set of worker threads in Python?

How to distribute work to a set of worker threads in Python?

Aug 26, 2023 pm 04:17 PM
multithreading task allocation worker threads

How to distribute work to a set of worker threads in Python?

To distribute work among a bunch of worker threads, use the concurrent.futures module, specifically ThreadPoolExecutor class.

With this alternative, you can manually write your own logic if you want fine control over the scheduling algorithm. Use the queue module to create a queue containing a list of jobs. The Queue class maintains a list of objects and has a .put(obj) method that adds items to the queue and a .get() method that returns an item. This class will take care of the necessary locking to ensure that each job is only distributed once.

Example

The following is an example -

import threading, queue, time

# The worker thread gets jobs off the queue. When the queue is empty, it
# assumes there will be no more work and exits.
def worker():
   print('Running worker')
   time.sleep(0.1)
   while True:
      try:
         arg = q.get(block=False)
      except queue.Empty:
         print('Worker', threading.current_thread(), end=' ')
         print('queue empty')
         break
      else:
         print('Worker', threading.current_thread(), end=' ')
         print('running with argument', arg)
         time.sleep(0.5)

# Create a queue
q = queue.Queue()

# Start a pool of 5 workers
for i in range(5):
   t = threading.Thread(target=worker, name='worker %i' % (i+1))
   t.start()

# Begin adding work to the queue
for i in range(50):
   q.put(i)

# Give threads time to run
print('Main thread sleeping')
time.sleep(5)
Copy after login

Output

Running worker
Running worker
Running worker
Running worker
Running worker
Main thread sleeping
Worker  running with argument 0
Worker  running with argument 1
Worker  running with argument 2
Worker  running with argument 3
Worker  running with argument 4
Worker  running with argument 5
Worker  running with argument 6
Worker  running with argument 7
Worker  running with argument 8
Worker  running with argument 9
Worker  running with argument 10
Worker  running with argument 11
Worker  running with argument 12
Worker  running with argument 13
Worker  running with argument 14
Worker  running with argument 15
Worker  running with argument 16
Worker  running with argument 17
Worker  running with argument 18
Worker  running with argument 19
Worker  running with argument 20
Worker  running with argument 21
Worker  running with argument 22
Worker  running with argument 23
Worker  running with argument 24
Worker  running with argument 25
Worker  running with argument 26
Worker  running with argument 28
Worker  running with argument 29
Worker  running with argument 27
Worker  running with argument 30
Worker  running with argument 31
Worker  running with argument 32
Worker  running with argument 33
Worker  running with argument 34
Worker  running with argument 35
Worker  running with argument 36
Worker  running with argument 37
Worker  running with argument 38
Worker  running with argument 39
Worker  running with argument 40
Worker  running with argument 41
Worker  running with argument 42
Worker  running with argument 43
Worker  running with argument 44
Worker  running with argument 45
Worker  running with argument 46
Worker  running with argument 47
Worker  running with argument 48
Worker  running with argument 49
Worker  queue empty
Worker  queue empty
Worker  queue empty
Worker  queue empty
Worker  queue empty
Copy after login

The above is the detailed content of How to distribute work to a set of worker threads in Python?. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. How to Fix Audio if You Can't Hear Anyone
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

How Do I Use Beautiful Soup to Parse HTML? How Do I Use Beautiful Soup to Parse HTML? Mar 10, 2025 pm 06:54 PM

This article explains how to use Beautiful Soup, a Python library, to parse HTML. It details common methods like find(), find_all(), select(), and get_text() for data extraction, handling of diverse HTML structures and errors, and alternatives (Sel

How to solve the permissions problem encountered when viewing Python version in Linux terminal? How to solve the permissions problem encountered when viewing Python version in Linux terminal? Apr 01, 2025 pm 05:09 PM

Solution to permission issues when viewing Python version in Linux terminal When you try to view Python version in Linux terminal, enter python...

Serialization and Deserialization of Python Objects: Part 1 Serialization and Deserialization of Python Objects: Part 1 Mar 08, 2025 am 09:39 AM

Serialization and deserialization of Python objects are key aspects of any non-trivial program. If you save something to a Python file, you do object serialization and deserialization if you read the configuration file, or if you respond to an HTTP request. In a sense, serialization and deserialization are the most boring things in the world. Who cares about all these formats and protocols? You want to persist or stream some Python objects and retrieve them in full at a later time. This is a great way to see the world on a conceptual level. However, on a practical level, the serialization scheme, format or protocol you choose may determine the speed, security, freedom of maintenance status, and other aspects of the program

Mathematical Modules in Python: Statistics Mathematical Modules in Python: Statistics Mar 09, 2025 am 11:40 AM

Python's statistics module provides powerful data statistical analysis capabilities to help us quickly understand the overall characteristics of data, such as biostatistics and business analysis. Instead of looking at data points one by one, just look at statistics such as mean or variance to discover trends and features in the original data that may be ignored, and compare large datasets more easily and effectively. This tutorial will explain how to calculate the mean and measure the degree of dispersion of the dataset. Unless otherwise stated, all functions in this module support the calculation of the mean() function instead of simply summing the average. Floating point numbers can also be used. import random import statistics from fracti

How to Perform Deep Learning with TensorFlow or PyTorch? How to Perform Deep Learning with TensorFlow or PyTorch? Mar 10, 2025 pm 06:52 PM

This article compares TensorFlow and PyTorch for deep learning. It details the steps involved: data preparation, model building, training, evaluation, and deployment. Key differences between the frameworks, particularly regarding computational grap

Scraping Webpages in Python With Beautiful Soup: Search and DOM Modification Scraping Webpages in Python With Beautiful Soup: Search and DOM Modification Mar 08, 2025 am 10:36 AM

This tutorial builds upon the previous introduction to Beautiful Soup, focusing on DOM manipulation beyond simple tree navigation. We'll explore efficient search methods and techniques for modifying HTML structure. One common DOM search method is ex

What are some popular Python libraries and their uses? What are some popular Python libraries and their uses? Mar 21, 2025 pm 06:46 PM

The article discusses popular Python libraries like NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Django, Flask, and Requests, detailing their uses in scientific computing, data analysis, visualization, machine learning, web development, and H

How to Create Command-Line Interfaces (CLIs) with Python? How to Create Command-Line Interfaces (CLIs) with Python? Mar 10, 2025 pm 06:48 PM

This article guides Python developers on building command-line interfaces (CLIs). It details using libraries like typer, click, and argparse, emphasizing input/output handling, and promoting user-friendly design patterns for improved CLI usability.

See all articles