Table Design

This comprehensive guide covers all aspects of table design in Tacnode, from fundamental concepts to advanced optimization techniques. Whether you're designing your first database schema or optimizing existing table structures, this guide provides practical insights and best practices.

📚 Table of Contents

Foundation Concepts

• Database and Schema Design Principles - Essential principles for organizing databases and schemas effectively
• Table Design Best Practices - Comprehensive guide to storage modes, primary keys, indexing, and optimization

Data Types and Storage

• Data Types - Comprehensive guide to Tacnode's data types including numeric, string, and specialized types
• Semi-structured Data (JSONB) - Leveraging JSONB for flexible data models
• Table Partitioning - Strategies for managing large tables through partitioning
• Generated Columns - Implementing computed columns for derived data

Performance Optimization

• Index Design - Best practices for creating efficient indexes
• Materialized Views - Accelerating complex queries with pre-computed results
• Materialized View Best Practices - Advanced strategies for incremental materialized views
• Schema Evolution - Managing schema changes without downtime

Advanced Features

• Foreign Tables - Integrating external data sources seamlessly
• Tiered Storage - Optimizing storage costs through data lifecycle management

🎯 Quick Start Guide

1. Plan Your Architecture

Start with database and schema design principles to establish a solid foundation for your data organization.

2. Design Your Tables

Follow table design fundamentals to create efficient table structures that support your application's needs.

3. Choose Data Types

Review data types to select appropriate data types for your specific use cases and requirements.

4. Optimize Performance

Implement index design strategies and consider materialized views for complex analytical queries.

5. Handle Complex Data

Use JSONB for semi-structured data and foreign tables for external data integration.

💡 Key Design Principles

Performance-First Approach

• Choose appropriate storage modes (row, columnar, hybrid) based on access patterns
• Design indexes strategically to support common query patterns
• Implement partitioning for large tables to improve query performance
• Use materialized views to accelerate complex analytical queries

Scalability and Flexibility

• Plan for growth with proper schema design and data organization
• Leverage JSONB for evolving data structures without schema changes
• Implement tiered storage strategies for cost-effective data lifecycle management
• Design for both transactional and analytical workloads where needed

Data Integration

• Use foreign tables to access external data without ETL processes
• Implement proper data type choices and constraints for data quality
• Plan schema evolution strategies to accommodate changing requirements
• Consider generated columns for derived data and computed values

🔧 Tools and Features

Tacnode provides powerful features to support advanced table design:

• Multiple Storage Modes: Row, columnar, and hybrid storage for different workload patterns
• Advanced Partitioning: Range, hash, and list partitioning strategies
• Rich Data Types: Including JSONB for semi-structured data
• Materialized Views: Both full and incremental refresh options
• Foreign Data Wrappers: Connect to S3, Glue, Iceberg, Delta Lake, and more
• Online Schema Changes: Modify table structures without downtime
• Generated Columns: Computed columns for derived data

📈 Best Practices Summary

1. Start Simple: Begin with straightforward designs and evolve as requirements become clear
2. Document Decisions: Maintain clear documentation of design choices and their rationale
3. Monitor Performance: Regularly review query patterns and optimize accordingly
4. Plan for Growth: Consider future scalability in your initial design decisions
5. Test Thoroughly: Validate performance assumptions with realistic data volumes

🚀 Next Steps

Ready to start designing tables in Tacnode? Begin with our foundational guides:

1. Review Database/Schema Design Principles for architectural guidance
2. Explore Table Design Fundamentals for practical implementation details
3. Learn about Data Types to choose appropriate column types for your data

For specific features and advanced use cases, dive into the specialized guides covering JSONB, foreign tables, materialized views, and performance optimization techniques.