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:

• Requirements Analysis - Business entities, relationships, data flow, and access patterns
• Entity Modeling - Tables/collections, attributes, primary/foreign keys, constraints
• Relationship Design - One-to-one, one-to-many, many-to-many associations
• Normalization Strategy - Data consistency vs performance trade-offs
• Performance Optimization - Indexing strategy, query optimization, partitioning
• 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.