Linux Pipeline Command Practice: Practical Case Sharing

Linux pipeline commands are an important tool for data flow. Multiple commands can be connected in series to achieve complex data processing and operations. This article will share practical cases to introduce related concepts and specific code examples of Linux pipeline commands to help readers better understand and use this function.

1. Concept introduction

In the Linux system, the pipe command uses the vertical bar symbol| to connect two or more commands, and the output of the previous command is used as the following The input of a command. This method can easily combine multiple simple commands to achieve complex data processing requirements. The use of pipeline commands can greatly reduce the creation of temporary files and improve operating efficiency.

2. Practical case sharing

2.1. Text processing

Case 1: Count the number of times a word appears in the file

cat file.txt | grep -o 'word' | wc -l

This command first Output the contents of the file file.txt, then use the grep command to filter out the lines containing the specified word 'word', and finally use the wc command to count the number of filtered lines, which is the number of times the word appears in the file.

Case 2: View the most frequently occurring words in the file

cat file.txt | tr -s ' ' '
' | tr -d '[:punct:]' | tr 'A-Z' 'a-z' | sort | uniq -c | sort -nr | head -n 10

This command first separates the file content by spaces and converts it into word form, then removes punctuation marks and uppercase letters Convert to lowercase, then sort, count the number of repeated words, sort in reverse order and take the first 10 words to get the most frequently occurring words in the file and their number of occurrences.

2.2. System monitoring

Case 3: Check the CPU and memory usage of system processes

ps aux | sort -nk 3,3 | tail -n 10

This command uses the ps command to check the CPU and memory usage of all processes in the system , then sort by CPU usage, and finally display the top 10 processes with the highest usage.

Case 4: Monitoring log files

tail -f logfile.log | grep 'error'

This command uses the tail command to view the latest content of the log file in real time, and uses grep to filter out the log information containing the 'error' keyword, which is convenient and timely problem found.

3. Summary

The powerful functions of Linux pipeline commands make data processing more efficient and convenient. Various commands can be flexibly combined according to actual needs to complete complex data processing tasks. Through the sharing of practical cases in this article, I believe that readers will have a deeper understanding of Linux pipeline commands, and hope to be able to use them flexibly in actual operations to improve work efficiency.

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