Text processing in Linux is a core skill for managing logs, configuration files, and data like CSVs. This chapter explores essential tools like cut, sort, uniq, wc, awk, and fzf to help you process text efficiently.

Summary

Introduction to text processing in Linux with cut, sort, uniq, wc, awk, fzf, and jq equips you to handle logs, CSVs, and JSON efficiently. These tools are essential for Linux workflows.

Text processing in Linux

In this chapter, we’ll explore tools and techniques for working with text in Linux. You’ll learn how to use commands like cut, sort, uniq, and wc to manipulate and analyze text files. We’ll also cover modern tools like fzf for interactive text searching and nroff for document formatting. By the end of this chapter, you’ll be able to efficiently process and extract meaningful information from text data.

Why Text Processing in Linux Matters

Text processing is vital for extracting data, sorting information, and analyzing logs. Whether you’re a system administrator or a beginner, mastering these tools simplifies tasks like parsing CSVs or finding errors in log files.

The cut Command

cut extracts specific columns or fields from files, ideal for structured data like CSVs.

Basic Usage of cut for Text Processing in Linux

$ cut -d',' -f1 file.csv

Examples

The sort Command

sort arranges lines in a file, useful for organizing data.

Basic Usage

$ sort file.txt

Common Options

Examples

The uniq Command

uniq removes duplicate lines from a sorted file, often used with sort.

Basic Usage

$ sort file.txt | uniq

Common Options

Examples

Text Processing in Linux
Text Processing in Linux. AI generated image

The wc Command

wc (word count) counts lines, words, and characters in files.

Basic Usage

$ wc file.txt

Common Options

Examples

Combining Commands for Text Processing in Linux

Pipelines combine commands for powerful text processing.

Example: Count Unique Words

$ cat file.txt | tr ' ' '\n' | sort | uniq -c | sort -nr

Example: Find Most Common Error

$ grep "ERROR" logfile.txt | cut -d' ' -f4- | sort | uniq -c | sort -nr | head -n 1

Advanced Text Editing with awk

awk is a versatile tool for complex text processing (covered in Chapter 13).

Examples

Searching Files with find and fzf

Search tools enhance text editing in Linux by locating files and content.

A more comprehensive note and tutorial on finding files in linux terminal is included in Next page on this blog.

find

Search files by name, size, or time.

fzf (Fuzzy Finder)

Interactive search tool for files and text.

Note: Install fzf if not present:

$ sudo apt install fzf

Document Formatting with groff and nroff

Format documents for man pages or reports.

groff

Typesetting system for professional documents.

nroff

Lightweight formatting for terminals.

Modern Tool: jq for JSON

jq processes JSON data, common in APIs.

Practice Time!

Test your skills with these tasks:

  1. Extract third column of a CSV using cut.
  2. Find unique lines with sort and uniq.
  3. Count words in a file with wc.
  4. Find most frequent error using grep, cut, and sort.
  5. Locate .log files with find.
  6. Search interactively with fzf.

Try This: Run sort file.txt | uniq -c and share results on X with #LinuxCommandLine!

Glossary of Commands, Tools, and Shortcuts

 

Command/Tool Description
cut Extracts fields or characters from files using delimiters.
sort Sorts lines in a file alphabetically or numerically.
uniq Removes or counts duplicate lines in a sorted file.
wc Counts lines, words, or characters in a file.
awk Processes and manipulates text with pattern matching.
find Searches for files based on name, size, or time.
fzf Interactive fuzzy finder for files and text.
jq Processes and queries JSON data.
groff Typesetting system for formatting documents.
nroff Lightweight tool for formatting text, especially man pages.
tr Translates or replaces characters in text.

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