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Скачать или смотреть Efficiently Remove Lines from CSV Using awk in Bash

  • vlogize
  • 2025-04-14
  • 1
Efficiently Remove Lines from CSV Using awk in Bash
Remove lines from CSV file that matches lines from another file from bash?awksedcommand lineterminal
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Описание к видео Efficiently Remove Lines from CSV Using awk in Bash

Learn how to easily remove specific lines from a CSV file using `awk` in bash. This guide provides a step-by-step solution that is easy to follow and implement.
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This video is based on the question https://stackoverflow.com/q/69031640/ asked by the user 'Johan' ( https://stackoverflow.com/u/398441/ ) and on the answer https://stackoverflow.com/a/69031770/ provided by the user 'anubhava' ( https://stackoverflow.com/u/548225/ ) 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: Remove lines from CSV file that matches lines from another file from bash?

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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Removing Lines from a CSV File Using Bash

Handling large CSV files can sometimes present challenges, especially when you need to remove specific entries based on another file. If you are dealing with two files, one containing your data and another listing entries to exclude, you may find yourself searching for a quick solution. In this guide, we will provide you with a streamlined approach to remove specific lines from a CSV file in Bash using awk.

Problem Statement

Imagine you have a CSV file (let's call it File A) that looks like this:

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

You also have another file (File B) containing entries that you want to remove from File A:

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

Your goal is to eliminate lines from File A where the first column matches any entry in File B. After executing your command, File A should only contain:

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

This means simply checking if a line starts with an entry from File B won't work; you need an exact match with the first column.

Solution Using awk

To achieve this, awk is a very powerful tool. We will use a simple two-pass method that allows us to filter the necessary lines accurately.

Step-by-Step Breakdown of the Command

Here’s the command you can use in your terminal:

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

Let’s break this down further:

NR == FNR: This condition checks whether we are reading the first file (File B). When this condition is true, we are processing File B.

dels[$1]: For each line in File B, we store the first column in an associative array named dels.

next: This command tells awk to skip the rest of the script for the current line and proceed to the next line.

!($1 in dels): Once we switch to reading File A, this condition checks if the first column of the current line exists in our dels array. If it does not exist, the line is printed.

Resulting Output

After you run the awk command, you should see the following output:

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

This output shows that lines containing entries present in File B have been successfully removed from File A.

Conclusion

Using awk is an efficient solution for removing specific lines from a CSV file in Bash. By leveraging its powerful conditional processing capabilities, you can effectively filter out any unwanted entries based on the first column. This simple yet effective command can save you valuable time when handling data cleanup tasks.

Feel free to try it out on your own CSV files and experience how easy it can be to manage your data directly from the command line!

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