Table of Contents
Connecting Multiple Processes via Pipes with subprocess.Popen
Home Backend Development Python Tutorial How Can I Efficiently Connect Multiple Processes in Python, Avoiding Complex Piping with `subprocess.Popen`?

How Can I Efficiently Connect Multiple Processes in Python, Avoiding Complex Piping with `subprocess.Popen`?

Dec 11, 2024 am 09:24 AM

How Can I Efficiently Connect Multiple Processes in Python, Avoiding Complex Piping with `subprocess.Popen`?

Connecting Multiple Processes via Pipes with subprocess.Popen

In this scenario, you aim to execute a shell command using the subprocess module, connecting three commands: echo, awk, and sort, and piping their output to an output file.

echo "input data" | awk -f script.awk | sort > outfile.txt
Copy after login

Using subprocess.Popen, you have:

import subprocess

p_awk = subprocess.Popen(["awk","-f","script.awk"],
                      stdin=subprocess.PIPE,
                      stdout=file("outfile.txt", "w"))
p_awk.communicate( "input data" )
Copy after login

While this solution addresses the piping of awk to sort, it overlooks an important consideration:

Eliminating Awk and Pipes

As suggested in the accepted answer, instead of using awk and pipes, it's more beneficial to rewrite the script.awk into Python. This eliminates awk, the pipeline, and the need for complex subprocess handling.

Advantages of Python-Only Processing

By performing all operations within Python, you gain several advantages:

  • No need for intermediate steps (e.g., awk) that add complexity and potential issues.
  • Elimination of potential concurrency bottlenecks introduced by pipes.
  • Simplified code, eliminating the need to handle multiple subprocesses.
  • Use of a single programming language, reducing the need to understand different language constructs.
  • Improved clarity and maintainability of the code.

Avoiding the Complexities of Pipelines

Creating pipelines in the shell involves multiple forks and file descriptor manipulations. While possible in Python using low-level APIs, it's far simpler to delegate pipeline creation to the shell by:

awk_sort = subprocess.Popen( "awk -f script.awk | sort > outfile.txt",
    stdin=subprocess.PIPE, shell=True )
awk_sort.communicate( b"input data\n" )
Copy after login

This approach uses the shell as an intermediary to create the pipeline, simplifying the Python code.

The above is the detailed content of How Can I Efficiently Connect Multiple Processes in Python, Avoiding Complex Piping with `subprocess.Popen`?. 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
WWE 2K25: How To Unlock Everything In MyRise
4 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 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...

How to efficiently copy the entire column of one DataFrame into another DataFrame with different structures in Python? How to efficiently copy the entire column of one DataFrame into another DataFrame with different structures in Python? Apr 01, 2025 pm 11:15 PM

When using Python's pandas library, how to copy whole columns between two DataFrames with different structures is a common problem. Suppose we have two Dats...

How to teach computer novice programming basics in project and problem-driven methods within 10 hours? How to teach computer novice programming basics in project and problem-driven methods within 10 hours? Apr 02, 2025 am 07:18 AM

How to teach computer novice programming basics within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...

How to dynamically create an object through a string and call its methods in Python? How to dynamically create an object through a string and call its methods in Python? Apr 01, 2025 pm 11:18 PM

In Python, how to dynamically create an object through a string and call its methods? This is a common programming requirement, especially if it needs to be configured or run...

How does Uvicorn continuously listen for HTTP requests without serving_forever()? How does Uvicorn continuously listen for HTTP requests without serving_forever()? Apr 01, 2025 pm 10:51 PM

How does Uvicorn continuously listen for HTTP requests? Uvicorn is a lightweight web server based on ASGI. One of its core functions is to listen for HTTP requests and proceed...

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 avoid being detected by the browser when using Fiddler Everywhere for man-in-the-middle reading? How to avoid being detected by the browser when using Fiddler Everywhere for man-in-the-middle reading? Apr 02, 2025 am 07:15 AM

How to avoid being detected when using FiddlerEverywhere for man-in-the-middle readings When you use FiddlerEverywhere...

See all articles