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FastAPIframework~8 mins

Connection pooling in FastAPI - Performance & Optimization

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Performance: Connection pooling
HIGH IMPACT
Connection pooling affects how quickly the server can handle database requests by reusing open connections instead of opening new ones each time.
Managing database connections efficiently in FastAPI
FastAPI
from asyncpg import create_pool

pool = await create_pool(dsn)

async def get_data():
    async with pool.acquire() as conn:
        result = await conn.fetch('SELECT * FROM table')
    return result
Reuses existing connections from the pool, avoiding repeated connection setup costs.
📈 Performance GainReduces request latency by 50-200ms, improves INP and server throughput
Managing database connections efficiently in FastAPI
FastAPI
async def get_data():
    conn = await asyncpg.connect(dsn)
    result = await conn.fetch('SELECT * FROM table')
    await conn.close()
    return result
Opening and closing a new database connection for every request adds significant latency and CPU overhead.
📉 Performance CostBlocks request handling for 50-200ms per connection setup, increasing INP and reducing throughput
Performance Comparison
PatternDOM OperationsReflowsPaint CostVerdict
No connection pooling (new connection per request)N/AN/AN/A[X] Bad
Using connection pooling with asyncpg in FastAPIN/AN/AN/A[OK] Good
Rendering Pipeline
Connection pooling reduces backend wait times for database responses, speeding up the server's response generation before sending HTML or JSON to the browser.
Server Processing
Network Response
⚠️ BottleneckDatabase connection setup time
Core Web Vital Affected
INP
Connection pooling affects how quickly the server can handle database requests by reusing open connections instead of opening new ones each time.
Optimization Tips
1Always use connection pooling to reuse database connections in FastAPI.
2Avoid opening and closing connections per request to reduce latency.
3Monitor backend response times to verify pooling effectiveness.
Performance Quiz - 3 Questions
Test your performance knowledge
What is the main performance benefit of using connection pooling in FastAPI?
ABlocks rendering until all connections close
BReduces latency by reusing open database connections
CIncreases the number of database connections opened
DImproves CSS selector performance
DevTools: Network
How to check: Open DevTools Network panel, observe time to first byte (TTFB) for API calls to backend endpoints.
What to look for: Lower TTFB indicates faster backend response, showing effective connection pooling.