Design Database Schema

Design optimized database schemas with comprehensive data modeling: $ARGUMENTS

Current Project Context

• Application type: Based on $ARGUMENTS or codebase analysis
• Data requirements: @requirements/ or project documentation
• Existing schema: @prisma/schema.prisma or @migrations/ or database dumps
• Performance needs: Expected scale, query patterns, and data volume

Task

Design comprehensive database schema with optimal structure and performance:

Schema Type: Use $ARGUMENTS to specify relational, NoSQL, hybrid approach, or normalization level

Design Framework:

1. Requirements Analysis - Business entities, relationships, data flow, and access patterns
2. Entity Modeling - Tables/collections, attributes, primary/foreign keys, constraints
3. Relationship Design - One-to-one, one-to-many, many-to-many associations
4. Normalization Strategy - Data consistency vs performance trade-offs
5. Performance Optimization - Indexing strategy, query optimization, partitioning
6. Security Design - Access control, data encryption, audit trails

Advanced Patterns: Implement temporal data, soft deletes, JSONB fields, full-text search, audit logging, and scalability patterns.

Validation: Ensure referential integrity, data consistency, query performance, and future extensibility.

Output: Complete schema design with DDL scripts, ER diagrams, performance analysis, and migration strategy.