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chore: Release v0.3.0 - Production Concurrency Utilities
Version bump to 0.3.0 with comprehensive CHANGELOG documenting: - Production-ready SQLite concurrency utilities (enableWAL, withRetry, WriteQueue) - 1,892 lines of documentation (CONCURRENCY-BEST-PRACTICES, COMPETITIVE-ANALYSIS, LIMITATIONS) - 32 passing tests for concurrency features - Database.db exposure for advanced pragma configuration - Migration guide and usage examples 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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CHANGELOG.md

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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [Unreleased]
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## [0.3.0] - 2025-01-04
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### Added
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#### 🔒 Production Concurrency Utilities
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Based on [Jellyfin's real-world SQLite locking experience](https://jellyfin.org/posts/SQLite-locking/), we've added three opt-in concurrency helpers for production deployments:
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- **`enableWAL(db, options?)`** - Configure Write-Ahead Logging mode
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- Enables WAL mode for better read concurrency (multiple readers during writes)
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- Sets optimal pragmas: synchronous=NORMAL, busy_timeout=5000ms, cache_size=64MB
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- Configures WAL autocheckpoint and journal size limits
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- Customizable options for advanced use cases
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- Returns database instance for method chaining
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- **`withRetry(operation, options?)`** - Exponential backoff retry logic
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- Automatically retries on SQLITE_BUSY/database locked errors
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- Exponential backoff: 10ms → 20ms → 40ms → 80ms → 160ms
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- Optional jitter to prevent thundering herd
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- Preserves error context after max retries
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- Works with both sync and async operations
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- Default 5 retries, fully customizable
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- **`WriteQueue`** - Pessimistic locking queue
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- FIFO queue serializes all write operations
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- Eliminates lock contention entirely
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- Predictable latency for high-concurrency scenarios
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- Queue length and processing status monitoring
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- Handles both sync and async operations
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- Error handling without breaking queue
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- **`initializeConcurrency(db, options?)`** - Convenience function
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- Combines WAL mode setup with write queue initialization
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- Returns `{ db, writeQueue }` for immediate use
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#### 📚 Comprehensive Documentation (1,892 lines)
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- **[CONCURRENCY-BEST-PRACTICES.md](docs/CONCURRENCY-BEST-PRACTICES.md)** (500+ lines)
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- Three locking strategies: No-Lock, Optimistic (retry), Pessimistic (queue)
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- WAL mode configuration and best practices
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- Transaction batching patterns (20x speedup)
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- Multi-process architecture patterns
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- Production monitoring and debugging
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- Decision matrices for strategy selection
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- Real-world usage examples
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- **[COMPETITIVE-ANALYSIS.md](docs/COMPETITIVE-ANALYSIS.md)** (400+ lines)
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- Comparison with Neo4j, ArangoDB, OrientDB, Memgraph, TinkerPop, gun.js, level-graph
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- 20+ dimension comparison matrix
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- Performance benchmarks: 500x smaller footprint, 3000x faster startup
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- Resource usage comparisons
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- Use case decision matrices
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- Market positioning as "High-Performance Embedded" solution
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- **[LIMITATIONS.md](docs/LIMITATIONS.md)** (500+ lines)
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- Enhanced concurrency section with Jellyfin findings
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- WAL mode, retry logic, and write queue patterns
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- Scale limits and performance degradation tables
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- Security, operational, and performance concerns
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- Mitigation strategies with code examples
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- Severity classifications and decision matrices
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#### ✅ Testing
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- 32 comprehensive tests for concurrency utilities (all passing)
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- Tests cover all three locking strategies
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- Integration tests with full concurrency stack
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- TDD approach with tests written first
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### Changed
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- **Exposed `Database.db` as public readonly** for advanced usage
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- Allows direct access to better-sqlite3 instance
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- Enables pragma configuration (WAL mode, timeouts, etc.)
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- Maintains encapsulation with readonly modifier
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- Enhanced README with concurrency utility examples
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- Updated quick start to show production patterns
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### Performance
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- WAL mode enables concurrent reads during writes
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- WriteQueue eliminates lock contention overhead
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- 7.11x faster merge operations with proper indexing (from v0.2.0)
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- 20x speedup with transaction batching
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### Use Cases
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Perfect for:
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- Web applications with concurrent users (>10 simultaneous writes)
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- API servers with bursty write patterns
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- Background job processing with multiple workers
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- Desktop/mobile apps needing offline-first architecture
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- Production deployments requiring reliability
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### Migration Guide
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All concurrency utilities are **opt-in**. Existing code continues to work without changes.
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**Basic (Most Common):**
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```typescript
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import { GraphDatabase, enableWAL } from 'sqlite-graph';
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const db = new GraphDatabase('./graph.db');
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enableWAL(db); // Better read concurrency
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```
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**With Retry Logic:**
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```typescript
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import { withRetry } from 'sqlite-graph';
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await withRetry(() =>
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db.mergeNode('Company', { name: 'TechCorp' }, { industry: 'SaaS' })
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);
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```
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**High-Concurrency:**
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```typescript
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import { WriteQueue } from 'sqlite-graph';
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const writeQueue = new WriteQueue();
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await writeQueue.enqueue(() =>
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db.createNode('Job', { title: 'Engineer' })
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);
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```
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**Full Stack (Maximum Safety):**
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```typescript
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import { initializeConcurrency, withRetry } from 'sqlite-graph';
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const { db, writeQueue } = initializeConcurrency(new GraphDatabase('./graph.db'));
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await writeQueue.enqueue(() =>
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withRetry(() =>
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db.mergeNode('Job', { url }, { title: 'Engineer' })
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)
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);
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```
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---
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## [0.2.0] - 2025-11-02
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### Added

package.json

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{
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"name": "sqlite-graph",
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"version": "0.2.0",
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"version": "0.3.0",
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"description": "High-performance graph database built on SQLite with a fluent query DSL",
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"license": "MIT",
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"author": "Michael O'Boyle",

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