What if you could change parking rules without rewriting your entire system?
Why Parking strategy pattern in LLD? - Purpose & Use Cases
Imagine managing a parking lot where you have different types of vehicles: cars, bikes, and trucks. You try to assign parking spots manually by writing separate code for each vehicle type everywhere in your system.
This manual approach quickly becomes messy and confusing. Every time you add a new vehicle type or change parking rules, you must hunt through your code to update multiple places. It's slow, error-prone, and hard to maintain.
The Parking strategy pattern lets you define different parking rules as separate strategies. You can switch or add new strategies easily without changing the main parking logic. This keeps your code clean, flexible, and easy to extend.
if vehicle == 'car': park_in_car_spot() elif vehicle == 'bike': park_in_bike_spot() elif vehicle == 'truck': park_in_truck_spot()
strategy = get_parking_strategy(vehicle) strategy.park(vehicle)
It enables flexible and scalable parking management that adapts easily to new vehicle types and parking rules without rewriting core logic.
A smart parking app that supports cars, electric scooters, and delivery trucks can use different parking strategies for each, making it easy to add new vehicle types later.
Manual parking code is hard to maintain and extend.
Strategy pattern separates parking rules into reusable parts.
This makes parking management flexible and scalable.
