fastapi-async-patterns
FastAPI async patterns for building high-performance, concurrent APIs with optimal resource usage.
- Covers async route handlers, database operations (SQLAlchemy, asyncpg, Motor, Tortoise ORM), and connection pooling strategies for efficient resource management
- Includes real-time communication patterns: WebSockets with authentication and broadcasting, Server-Sent Events (SSE), and streaming responses for large files or generated content
- Provides concurrent request handling with asyncio.gather for parallel operations, background tasks with BackgroundTasks, and async context managers for resource cleanup
- Demonstrates performance optimization techniques including caching, batch operations, debouncing, and prefetching related data to minimize latency
FastAPI Async Patterns
Master async patterns in FastAPI for building high-performance, concurrent APIs with optimal resource usage.
Basic Async Route Handlers
Understanding async vs sync endpoints in FastAPI.
from fastapi import FastAPI
import time
import asyncio
app = FastAPI()
# Sync endpoint (blocks the event loop)
@app.get('/sync')
def sync_endpoint():
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