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docs: add performance benchmarks to README
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README.md

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@@ -95,6 +95,34 @@ AI assistants like Claude are supposed to build entire apps, but they can't dire
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## ⚡ Performance
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### Query Latency
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| Query Type | Expected Latency | Notes |
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|------------|-----------------|--------|
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| Simple SELECT | 5-15ms | Connection pooling minimizes overhead |
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| Schema queries | 10-30ms | Depends on table count |
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| Complex queries | 20-100ms | Limited by PostgreSQL performance |
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### Key Features
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- **Connection pooling**: Persistent connections reduce overhead from ~50ms to <1ms
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- **Query timeout**: Default 120s, configurable per-query
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- **Rate limiting**: Token bucket algorithm with <1ms overhead (MCP mode)
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- **Memory efficient**: 30-50MB base + 1-2MB per connection
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### Performance Tuning
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```bash
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# High concurrency setup
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export POSTGRES_MAX_CONNECTIONS=20
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export QUERY_TIMEOUT=30000
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# MCP rate limiting
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export MCP_RATE_LIMIT_MAX_REQUESTS=1000
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export MCP_RATE_LIMIT_WINDOW_MS=60000
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```
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---
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## ⚙️ Installation & Setup
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### 1. Install
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npx sequelae exec "SELECT * FROM users"
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```
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### Advanced Configuration Example
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```bash
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# Production setup with SSL, pooling, and rate limiting
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cat > .env << EOF
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DATABASE_URL=postgresql://user:pass@prod.db.com:5432/myapp
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POSTGRES_SSL_MODE=verify-full
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POSTGRES_MAX_CONNECTIONS=25
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POSTGRES_IDLE_TIMEOUT=30000
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POSTGRES_CONNECTION_TIMEOUT=10000
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QUERY_TIMEOUT=60000
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MCP_RATE_LIMIT_MAX_REQUESTS=500
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MCP_RATE_LIMIT_WINDOW_MS=60000
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MCP_RATE_LIMIT_TOOLS='{
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"sql_exec": {"maxRequests": 100, "windowMs": 60000},
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"sql_backup": {"maxRequests": 5, "windowMs": 3600000}
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}'
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LOG_LEVEL=info
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EOF
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```
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## 📚 More Documentation

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