Software Architecture11 min read

Building an On-Demand Service Platform: Calendars, Slots, & Payments

By Raghav Shah

On-demand marketplaces require robust scheduling engines. A single double-booking ruins customer trust and wastes driver or helper dispatch time.

The complexity of real-time scheduling databases

Handling timezone conversions, helper local travel times, and locking slots during customer checkout sessions requires solid concurrent transaction isolation.

The Solution: Maid Agency Tech Architecture

We can implement a relational database model in PostgreSQL with transaction locks, preventing duplicate bookings of the same helper ID in overlapping time blocks.

PostgreSQL Safe Slot Reservation Query

-- Query to check and insert slot booking safely
BEGIN TRANSACTION;
SELECT * FROM bookings 
WHERE helper_id = $1 AND start_time < $3 AND end_time > $2 
FOR UPDATE;
-- If no rows match, insert the booking:
INSERT INTO bookings (helper_id, start_time, end_time, status) 
VALUES ($1, $2, $3, 'confirmed');
COMMIT;

Key Insights & Takeaways

  • ✓ Relational databases ensure strict ACID transaction compliance
  • ✓ Temporary Redis database locks prevent concurrent booking collisions
  • ✓ Automated geolocation queries dispatch the nearest helper to cut travel times

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