File input processing is a critical skill in shell scripting, enabling efficient data manipulation and extraction from text files. Understanding various input parsing techniques allows developers to handle complex file reading scenarios.
Reading Methods and Techniques
1. Internal Field Separator (IFS) Processing
#!/bin/bash
## CSV file parsing example
while IFS=',' read -r name age city; do
echo "Name: $name, Age: $age, City: $city"
done < data.csv
2. Conditional File Reading
#!/bin/bash
## Filtering input based on conditions
while read -r line; do
if [[ $line =~ ^[0-9]+ ]]; then
echo "Numeric line: $line"
fi
done < input.txt
Technique |
Complexity |
Performance |
Use Case |
Simple Read |
Low |
High |
Basic line processing |
IFS Parsing |
Medium |
Medium |
Structured data |
Regex Filtering |
High |
Low |
Complex pattern matching |
flowchart TD
A[Start Input Processing] --> B{Read Line}
B --> C{Validate Input}
C -->|Valid| D[Process Data]
C -->|Invalid| E[Skip/Log Error]
D --> F{More Lines?}
F -->|Yes| B
F -->|No| G[End Processing]
Handling Large Files Efficiently
#!/bin/bash
## Stream processing for large files
tail -n +2 largefile.csv | while IFS=',' read -r col1 col2; do
echo "Processing: $col1 $col2"
done
Variable Expansion Techniques
#!/bin/bash
## Advanced variable handling
while read -r line; do
name=${line%%,*} ## Extract first field
remainder=${line#*,} ## Remove first field
echo "Processed: $name"
done < input.txt
This approach demonstrates comprehensive file input processing techniques in bash, covering read command strategies, file handling methods, and sophisticated input parsing mechanisms for shell scripting.