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tools 1 February 2020 3 min read

Linux Tools

Essential Linux command-line utilities for data manipulation and performance testing, including grep, sed, awk, cut, paste, and strings.

M

Mark

Performance Testing Expert

Linux systems include powerful command-line utilities for data manipulation and performance testing. These tools are particularly valuable when handling large datasets that would be impractical to process in Windows environments.

Key Linux Tools

grep

The grep command can return rows from a file where a pattern has been matched. It supports advanced features like filtering unmatched data with the -v flag.

# Find lines containing "error"
grep "error" logfile.txt

# Find lines NOT containing "debug"
grep -v "debug" logfile.txt

# Case-insensitive search
grep -i "warning" logfile.txt

# Show line numbers
grep -n "pattern" file.txt

sed

The sed command is excellent for pattern matching and bulk replacements, capable of handling millions of value substitutions efficiently.

# Replace first occurrence on each line
sed 's/old/new/' file.txt

# Replace all occurrences
sed 's/old/new/g' file.txt

# Delete lines matching a pattern
sed '/pattern/d' file.txt

# In-place editing
sed -i 's/old/new/g' file.txt

awk

The awk command is more sophisticated than sed, capable of manipulating values or extracting matching lines while supporting complex operations.

# Print specific columns
awk '{print $1, $3}' file.txt

# Print lines where column 2 is greater than 100
awk '$2 > 100' file.txt

# Sum values in a column
awk '{sum += $1} END {print sum}' file.txt

# Use custom field separator
awk -F',' '{print $2}' file.csv

cut

The cut command rapidly extracts specific columns or character ranges, often used in command pipelines to parse output from other tools.

# Extract columns 1 and 3 (comma-delimited)
cut -d',' -f1,3 file.csv

# Extract characters 1-10
cut -c1-10 file.txt

# Extract from column 2 onwards
cut -d',' -f2- file.csv

paste

The paste command combines data columns from multiple files into a single consolidated file.

# Combine two files side by side
paste file1.txt file2.txt

# Use comma as delimiter
paste -d',' file1.txt file2.txt

# Combine all lines into one (serial)
paste -s file.txt

strings

The strings command extracts ASCII text from binary files, providing an accessible alternative to specialized hex tools.

# Extract readable strings from a binary
strings binary_file

# Set minimum string length
strings -n 10 binary_file

# Show file offset of each string
strings -t x binary_file

Combining Tools

The real power comes from combining these tools in pipelines:

# Extract column 1, find unique values, and count them
cut -d',' -f1 data.csv | sort | uniq -c | sort -rn

# Find errors in logs and count by type
grep "ERROR" app.log | awk '{print $4}' | sort | uniq -c

# Replace values and extract specific columns
sed 's/NULL/0/g' data.csv | cut -d',' -f1,3,5

Windows Availability

These utilities are even available for Windows systems through third-party downloads such as:

  • Git Bash
  • Cygwin
  • Windows Subsystem for Linux (WSL)

Conclusion

Performance testers should leverage Linux command-line tools for large-scale data manipulation tasks. The efficiency and flexibility of these utilities make them indispensable for processing test data, logs, and results files.

Tags:

#linux #bash #command-line #data-manipulation #performance-testing

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