Bash Scripting

Bash Scripting

Write bash scripts for automating repetitive tasks, file transformations, and data pipeline orchestration.

Why This Matters

Bash scripting automates tasks. Use variables, conditionals, loops, functions, and error handling to build reliable automation.

Key Concepts

Write bash scripts for automating repetitive tasks, file transformations, and data pipeline orchestration. In the context of Linux and Shell, this is foundational for building reliable data systems.

Production Considerations

• Understand the performance characteristics and trade-offs
• Implement proper error handling for edge cases
• Monitor key metrics: latency, throughput, error rates
• Document decisions and maintain runbooks

Best Practices

• Use 'set -euo pipefail' in all bash scripts
• Write log functions for consistent output
• Validate inputs before processing
• Use proper quoting around variables
• Monitor disk usage proactively

Interview Tips

• How do you find large files on a Linux server?
• Write a script to process files older than N days
• Explain the difference between kill -9 and kill -15

Bash Scripting — Deep Dive

Advanced Considerations

Bash scripting automates tasks. Use variables, conditionals, loops, functions, and error handling to build reliable automation. At a deeper level, mastering this involves understanding failure modes, performance boundaries, and integration patterns with the broader data stack.

Common Pitfalls

• Not handling edge cases: null values, empty inputs, malformed data
• Over-engineering: choosing complex solutions when simple ones suffice
• Ignoring observability: no logging, metrics, or alerting
• Skipping testing: not validating with production-like data volumes

Trade-offs and Alternatives

Every technical decision involves trade-offs. When evaluating bash scripting, consider: performance vs complexity, cost vs features, ease of use vs flexibility. The best choice depends on your specific requirements, team skills, and constraints.