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Скачать или смотреть Mastering Unix Parsing: How to Separate Varying Named Values into Rows

  • vlogize
  • 2025-10-09
  • 0
Mastering Unix Parsing: How to Separate Varying Named Values into Rows
Unix Parse Varying Named Value into seperate rowsbashshellawkscripting
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Описание к видео Mastering Unix Parsing: How to Separate Varying Named Values into Rows

Learn how to efficiently parse varying named value pairs in Unix using `awk`. This guide provides a straightforward solution and detailed explanation.
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This video is based on the question https://stackoverflow.com/q/64697767/ asked by the user 'seanarcher7' ( https://stackoverflow.com/u/14583715/ ) and on the answer https://stackoverflow.com/a/64698486/ provided by the user 'RavinderSingh13' ( https://stackoverflow.com/u/5866580/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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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.

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Mastering Unix Parsing: How to Separate Varying Named Values into Rows

Parsing data from files is a common task in Unix-based systems, especially when the data can vary in length and format. In this guide, we will discuss a specific problem where you need to parse input from a file containing varying named value pairs. We will then provide a detailed solution using awk, a powerful text processing tool available in Unix systems.

The Problem

When working with data files, you may encounter entries with varying formats, making it challenging to extract meaningful information. For example, consider an input file with the following structure:

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

The goal is to parse these entries into separate rows while handling the complexity of named value pairs, where a name may or may not have an associated value and names may contain semicolons. The desired output for the above input is:

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

However, the challenge arises as traditional methods using awk or shell scripting may not effectively handle such varying lengths and formats in the given data.

The Solution: Using awk

We can achieve the desired output with a robust awk script. Below is a working example that has been tested with the provided input. It's important to ensure that you are using a suitable version of awk, preferably GNU awk for better compatibility.

The awk Script

Here’s the script that will parse the data:

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

Explanation of the Script

BEGIN Block: This section initializes the input and output field separators (FS and OFS) to the pipe character (|), which helps in correctly identifying fields in the input lines.

Skipping the Header: FNR==1 { next } instructs awk to skip the very first line (header) of the input file.

Main Processing Block:

The variable first holds the ID for each row.

The while loop continuously searches for named value pairs in the line using a regular expression.

match() checks for a pattern that aligns with our expected format, capturing names and their corresponding values.

When a match is found, print outputs the ID and the matched substring.

The line is then updated by removing the processed portion, allowing the loop to proceed and find additional matches.

Running the Script

Make sure to run this script in a Unix-like environment where your Input_file contains the structured data we discussed. The expected output will match our desired format perfectly, making the data much easier to analyze.

Final Thoughts

Parsing varying formats of data in Unix can initially seem daunting, but with the right tools and a clear understanding of the syntax, it can be achieved efficiently. By employing scripts like the one presented above, you can effortlessly manage complex input files and transform them into more usable formats.

If you have any questions or need further clarification, feel free to reach out. Happy scripting!

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