How to Run Multiple Instances of the Same Python Script on a Linux Server

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Learn how to efficiently execute multiple instances of the same Python script concurrently on a Linux server using multiprocessing.
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Running Multiple Instances of the Same Python Script on a Linux Server

If you're working on a Python script that simulates web visits using different user-agents, you might have encountered the challenge of running multiple instances of the script simultaneously. For instance, you may want to run a simulation 50 times at once, each with a different user-agent. This article addresses that exact need and guides you through the solution using Python's multiprocessing module.

The Problem

You have a piece of code that should run the same function multiple times, like this:

[[See Video to Reveal this Text or Code Snippet]]

The above loop runs each instance one after the other, which isn't what you want if you're aiming for simultaneous execution. You’re probably wondering: How can I modify this code to execute all instances at the same time?

The Solution: Using Multiprocessing

To achieve concurrent execution, we can utilize the Process class from the multiprocessing module in Python. This allows you to spawn multiple processes, enabling your script to run different user-agents at the same time.

Step-by-Step Implementation

Here’s how to modify your script accordingly:

Import the Required Library

Start by importing the necessary library at the beginning of your script.

[[See Video to Reveal this Text or Code Snippet]]

Define Your Function

Ensure your function is defined correctly. For example, if simulating web visits, your function might look something like this:

[[See Video to Reveal this Text or Code Snippet]]

Prepare Your User-Agent List

Define your list of user-agents that you want to use for the simulation.

[[See Video to Reveal this Text or Code Snippet]]

Create Multiple Processes

Use a loop to create and start multiple Process instances, passing different user-agents as arguments.

[[See Video to Reveal this Text or Code Snippet]]

Ensure All Processes Complete

Finally, ensure that your main program waits for all the processes to finish executing.

[[See Video to Reveal this Text or Code Snippet]]

Complete Example

Putting it all together, here is the complete script:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

By following the steps outlined in this guide, you can easily run multiple instances of the same Python script concurrently on a Linux server. This method is not only efficient but also scalable, allowing you to adjust the number of simultaneous executions as needed. Happy coding!
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