Performance: API versioning strategies
MEDIUM IMPACT
API versioning strategies affect the server response time and client load by influencing routing complexity and cache efficiency.
from fastapi import FastAPI, APIRouter app = FastAPI() v1_router = APIRouter(prefix='/api/v1') @v1_router.get('/items') def get_items_v1(): return {'version': 'v1', 'items': []} v2_router = APIRouter(prefix='/api/v2') @v2_router.get('/items') def get_items_v2(): return {'version': 'v2', 'items': []} app.include_router(v1_router) app.include_router(v2_router)
from fastapi import FastAPI app = FastAPI() @app.get('/api/v1/items') def get_items_v1(): return {'version': 'v1', 'items': []} @app.get('/api/v2/items') def get_items_v2(): return {'version': 'v2', 'items': []} @app.get('/api/items') def get_items(): # Logic to detect version from headers or query params pass
| Pattern | Routing Complexity | CPU Usage | Response Latency | Verdict |
|---|---|---|---|---|
| Header or query param version detection with single endpoint | High (multiple checks) | High | Higher latency | [X] Bad |
| Prefix-based versioning with APIRouter | Low (direct match) | Low | Lower latency | [OK] Good |