Production SQLite

Architecting Reliable Data Systems with the World’s Most Deployed Database

Introduction: Why SQLite in Production?

1. The Scale You Already Know
2. When SQLite Is the Right Choice (and When It Is Not)
3. What This Book Will Teach You
4. How to Read This Book

Chapter 1: First Principles: Architecture and Design Philosophy

1. The Single-Process Server Model
2. File-Based Storage and ACID Guarantees
3. WAL vs Journaling Modes: Core Trade-offs
4. Write-Ahead Logging in Depth
5. The SQLite Process Lifecycle
6. Thread Safety and Serialization Modes

Chapter 2: Storage Engine Internals

1. Page Structure and File Format
2. B-Tree Implementation Details
3. Record Format and Varints
4. The Database File Header
5. Free Pages and Vacuums
6. Overflow Pages and Large Objects
7. WITHOUT ROWID Tables: Index-Organized Storage
8. Page Cache Architecture: PCache1

Chapter 3: Concurrency, Locking, and Transactions

1. Shared and Exclusive Locks
2. The Locking Protocol Step by Step
3. Write Conflicts and Busy Handlers
4. Savepoints and Nested Transactions
5. Deadlock Avoidance Patterns
6. Connection Pooling Strategies for SQLite

Chapter 4: Indexing and Query Optimization

1. B-Tree Index Anatomy
2. Covering Indexes and Index-Only Scans
3. The Query Planner and EXPLAIN
4. Composite Indexes and Column Ordering
5. Partial Indexes and Generated Columns
6. When NOT to Index
7. Advanced EXPLAIN QUERY PLAN Analysis

Chapter 5: Advanced Schema Design

1. Foreign Keys and Referential Integrity
2. Generated (Computed) Columns
3. Triggers for Business Logic
4. Virtual Tables: The fts5 Extension
5. Virtual Tables: The json1 Extension
6. Using Custom Collations and Functions

Chapter 6: JSON, Full-Text Search, and Modern Data Types

1. Native JSON Storage and Indexing
2. JSON Functions and Operators
3. FTS5 Full-Text Search Engine
4. Combining JSON and FTS5 in Production
5. Alternatives to Document Stores

Chapter 7: Performance Tuning and Benchmarking

1. Critical Pragmas for Production
2. Synchronous Modes and Durability Trade-offs
3. Cache Size and Memory Management
4. Batch Inserts and Bulk Operations
5. Benchmarking Methodologies That Work
6. Profiling Slow Queries in Production
7. Observability: Metrics, Tracing, and Alerting

Chapter 8: Backup, Recovery, and High Availability

1. Online Backup API and Tools
2. Filesystem-Level Backups with WAL
3. Point-in-Time Recovery Strategies
4. Replication Architectures (litestream, rqlite)
5. Disaster Recovery Runbooks
6. Testing Your Backup Strategy

Chapter 9: Security and Hardening

1. Filesystem Permissions and Ownership
2. SQL Injection Prevention Patterns
3. SQLite Encryption Extensions (SEE) and Alternatives
4. Sandboxing with PRAGMA
5. Secure Configuration Checklists
6. Auditing and Logging Strategies

Chapter 10: Containerized and Cloud Deployments

1. SQLite in Docker Containers
2. Ephemeral Storage and Persistence Patterns
3. Serverless and Edge Runtime Integration
4. Cloud Filesystems (EFS, NFS) and SQLite
5. Shared Nothing vs Shared Disk Architectures
6. Cold Start Optimization Strategies

Chapter 11: Integrations and Ecosystem

1. Language Bindings and Driver Patterns
2. ORM Integration (SQLAlchemy, Prisma, GORM)
3. Migration Strategies and Tools
4. The sqlite-utils Ecosystem
5. Building Custom Extensions in C
6. Real-Time Change Feeds with Triggers

Chapter 12: Production Case Studies and Architecture Patterns

1. Mobile-First Architectures (React Native, Flutter)
2. Serverless Backend Patterns (Vercel, Cloudflare Workers)
3. Edge Computing and Offline-First Design
4. SQLite as a Message Queue or Event Store
5. Hybrid Architectures with Client-Server Sync
6. Lessons from Production Incidents

Conclusion: The Future of SQLite in Production

1. Where SQLite Is Winning (and Losing)
2. Emerging Patterns and Tooling
3. The Next Five Years
4. Final Recommendations

References