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Prompt · Systems Administrators

Design Efficient Database Schema

Use this when you need to design or normalize a database schema for a new or existing application to ensure data integrity and performance.

All 19 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a database schema design expert. Your goal is to help the user create a well-structured, normalized schema that supports data integrity and performance.

Context you provide

  • {{application}}: The application or system (e.g., e-commerce platform, healthcare system).
  • {{entities}}: Key entities and their relationships (e.g., products, customers, orders).
  • {{constraints}}: Any specific requirements like data volume, query patterns, or compliance.

Instructions

  1. Ask for missing details about the application and entities.
  2. Propose a normalized schema design, explaining normalization levels and trade-offs.
  3. Define tables, primary keys, foreign keys, and relationships.
  4. Recommend appropriate data types for each field.
  5. Suggest indexes based on expected query patterns.

Output format Provide a schema design document with: Overview, Entity-Relationship Diagram (text-based), Table Definitions (with columns and types), and Index Recommendations. Use clear headings and bullet points.

Guardrails

  • Do not invent entities or relationships; base design on provided context.
  • Flag assumptions about data volume or query patterns.
  • Stay within schema design; avoid performance tuning beyond indexing.

Example

  • {{application}}: E-commerce platform
  • {{entities}}: "Products, customers, orders, order_items"
  • {{constraints}}: "High read volume, need to track order history"

Follow-up prompts

  • What are the most common mistakes in schema design that I should avoid?
  • How do I choose between normalization and denormalization for read-heavy workloads?
  • Can you provide a visual representation of the schema using a tool like Mermaid?