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John Lancaster e78383be1f move
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# Async SQLAlchemy Engine
Source:
- https://docs.sqlalchemy.org/en/21/core/connections.html
- https://docs.sqlalchemy.org/en/21/orm/extensions/asyncio.html
- https://docs.sqlalchemy.org/en/21/core/pooling.html#pooling-multiprocessing
- https://fastapi.tiangolo.com/advanced/events/
---
## Engine Ownership Model
Create one async engine per process per database URL and keep it for the app lifetime.
- SQLAlchemy guidance: the engine is intended as a long-lived, concurrent registry over pooled DB connections, not a per-request object.
- In FastAPI, app startup and shutdown ownership belongs in lifespan.
- Use `FastAPI(lifespan=...)` (not startup/shutdown events) for modern lifecycle wiring.
Practical rule:
- Exactly one `create_async_engine(...)` call in app bootstrap code.
- Zero `create_async_engine(...)` calls in request handlers.
---
## Canonical Lifespan Pattern (AsyncExitStack)
Use `@asynccontextmanager` + `AsyncExitStack` to make teardown deterministic and composable.
```python
from contextlib import AsyncExitStack, asynccontextmanager
from fastapi import FastAPI
from sqlalchemy.ext.asyncio import AsyncEngine, create_async_engine
@asynccontextmanager
async def lifespan(app: FastAPI):
async with AsyncExitStack() as stack:
engine: AsyncEngine = create_async_engine(
app.state.settings.database_url,
pool_pre_ping=True,
# Optional examples:
# echo=app.state.settings.sql_echo,
# pool_size=10,
# max_overflow=20,
)
app.state.engine = engine
# Ensure engine disposal always runs at shutdown.
stack.push_async_callback(engine.dispose)
yield
app = FastAPI(lifespan=lifespan)
```
Why this pattern:
- FastAPI executes code before `yield` at startup and after `yield` at shutdown.
- `AsyncExitStack` lets you register multiple async cleanups in one place while preserving order.
- Explicit disposal (directly awaited or via `AsyncExitStack` callback) avoids event-loop-closed warnings when objects fall out of scope.
---
## Driver URLs (Project Requirement: asyncpg + aiosqlite)
Use SQLAlchemy async driver URLs:
- PostgreSQL: `postgresql+asyncpg://user:pass@host:5432/dbname`
- SQLite: `sqlite+aiosqlite:///./app.db`
Notes:
- Do not mix sync drivers (for example `psycopg2`) with `create_async_engine()`.
- Keep URL construction centralized in settings/config, not in feature modules.
---
## Pooling Defaults and Tuning
Default behavior is usually correct first:
- Async engines use async-compatible pooling (`AsyncAdaptedQueuePool`) by default.
- Start with defaults, then tune from observed load (`pool_size`, `max_overflow`, `pool_timeout`, `pool_recycle`).
- Enable `pool_pre_ping=True` for safer stale-connection handling in long-running services.
When to switch pool strategy:
- `NullPool` if you explicitly need no pooling (special environments, some tests, or strict cross-loop constraints).
- Keep in mind this increases connect/disconnect churn.
---
## Disposal Semantics
`engine.dispose()` replaces/disposes the pool, but only checked-in connections are immediately closed.
Rules:
- Dispose when the app is shutting down.
- Dispose before reusing an engine across event loops.
- In forked child-process initialization, use `engine.dispose(close=False)` (sync API guidance) so child processes do not touch parent-held connections.
Avoid relying on garbage collection for engine cleanup in async code.
---
## Event Loop and Process Boundaries
Do not share pooled connections across boundaries:
- Multiple event loops: do not reuse the same pooled async engine across loops unless you intentionally disable pooling (`NullPool`) or dispose before handoff.
- Multiprocessing/fork: pooled connections must not be inherited for active use across process boundaries.
This prevents broken socket state and cross-process connection corruption.
---
## What Not to Do
- Create an engine inside every request dependency.
- Create/dispose engines inside repository methods.
- Keep engine creation as a hidden side effect of import-time module globals.
- Use deprecated FastAPI startup/shutdown events together with lifespan.
---
## Engine Design Checklist
- One engine per process per DB URL.
- Engine created in lifespan startup.
- Engine disposed in lifespan shutdown.
- Async driver URL matches backend (`asyncpg` or `aiosqlite`).
- Pooling strategy is explicit for non-default needs.
- No request-path engine creation.