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Have you encountered the anti-pattern 'Beautiful Columns'? What problems can it cause and how to deal with them?
sobes.tech AI
Answer from AI
Yes, I have encountered this. 'Beautiful Pillars' is an anti-pattern where code performing similar operations is duplicated with minimal changes instead of extracting common logic into reusable functions or classes.
Problems:
- Code repetition (DRY violation): Complicates maintenance and modifications.
- Risk of errors: Changing one "column" without updating others leads to inconsistency and bugs.
- Readability issues: A large amount of nearly identical code makes understanding the overall picture difficult.
- Increased code size: Excessive code takes up more space and increases compilation time.
Solutions:
- Refactoring: Extract common logic into functions or methods.
- Parameterization: Use parameters to pass changing data.
- Design patterns: Apply appropriate patterns (e.g., Strategy, Template Method).
- Abstractions: Create base classes or interfaces for common properties and behaviors.
Example of refactoring:
// Bad: "Beautiful Pillars"
fun processDataA(value: Int) {
// Much similar code
val result1 = value * 2
println("Processing A with $result1")
// Other similar code
}
fun processDataB(value: Int) {
// Duplicating similar code
val result2 = value * 3
println("Processing B with $result2")
// Other similar code
}
// Good: Refactored
fun processData(value: Int, multiplier: Int, type: String) {
val result = value * multiplier
println("Processing $type with $result")
// Common logic
}
fun usageExample() {
processData(10, 2, "A")
processData(10, 3, "B")
}