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Скачать или смотреть How to Run Bash Functions in Parallel for Efficient Site Checking

  • vlogize
  • 2025-04-08
  • 0
How to Run Bash Functions in Parallel for Efficient Site Checking
Run bash function with parallelbashparallel processing
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Описание к видео How to Run Bash Functions in Parallel for Efficient Site Checking

Discover how to enhance your Bash scripting by utilizing GNU Parallel to run functions concurrently, making it perfect for checking multiple sites at once!
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This video is based on the question https://stackoverflow.com/q/76507768/ asked by the user 'Marco Ferrara' ( https://stackoverflow.com/u/11771565/ ) and on the answer https://stackoverflow.com/a/76516006/ provided by the user 'Marco Ferrara' ( https://stackoverflow.com/u/11771565/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Run bash function with parallel

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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How to Run Bash Functions in Parallel for Efficient Site Checking

Managing a large number of tasks can be daunting, especially if you're trying to check the status of over 30,000 websites using a Bash script. Traditional methods can be slow and inefficient, leading to long wait times. Fortunately, there’s a way to streamline this process significantly — by running your Bash functions in parallel.

The Challenge: Checking Multiple Sites

You have a function written in Bash to check the status of websites. The function, check_site(), uses the curl command to send requests to each website and outputs the results. Here’s a simplified version of your function:

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

This function is great for checking a single site at a time, but it becomes inefficient when the number of sites increases exponentially. So, how can we optimize this process?

The Solution: Using GNU Parallel

GNU Parallel is a powerful tool that allows you to execute jobs in parallel using multiple CPU cores. By adopting GNU Parallel, you can simultaneously check many sites, making your script much more efficient. Here’s how to implement it:

Step 1: Prepare Your Input

First, you need to prepare a temporary file that contains the list of hosts and their corresponding IPs that you want to check. You can store each host and IP pair in this file like so:

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

Step 2: Export the Necessary Variables and Functions

Before running the parallel command, you need to export your function and any variables that are required. This includes your logging variables for output management:

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

Step 3: Run the Function in Parallel

Finally, you can use the parallel command to execute your function with the specified input file. Here’s the command:

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

--colsep ' ': Specify the delimiter used in your input file (space in this case).

-j 252: Set the number of jobs to run in parallel (you can adjust this number based on your machine’s capabilities).

-a "${tempfile}": This tells parallel to read arguments from the specified file.

Conclusion

Using GNU Parallel to run your Bash functions not only saves you time but also increases efficiency significantly when dealing with a large number of tasks. By following the structured approach of preparing your input, exporting necessary functions, and executing parallel processes, you can easily check thousands of websites simultaneously with just a few modifications to your original script.

If you regularly need to execute time-consuming tasks, consider incorporating parallel processes to maximize your productivity.

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