Question 1

How do I use peewee-async with FastAPI?

Accepted Answer

Integrate it by setting up the async database instance in FastAPI's lifespan events, using await for queries in route handlers, and ensuring the event loop is managed properly—examples in the documentation show this pattern.

Question 2

Is peewee-async better than SQLAlchemy async for my project?

Accepted Answer

Choose peewee-async if you're already using peewee and want minimal changes; SQLAlchemy async (via asyncio extension) offers broader database support and more features but requires a steeper learning curve for new users.

Question 3

Can I run migrations async with peewee-async?

Accepted Answer

No, peewee-async does not support async migrations out-of-the-box; you'll need to use sync migration tools or handle them separately, as async operations are limited to query execution.

Question 4

What async drivers are required for PostgreSQL?

Accepted Answer

You can use either aiopg or psycopg3, installed via pip extras like peewee-async[postgresql] or peewee-async[psycopg], but note that psycopg3 is newer and may offer better performance.

Question 5

Does peewee-async work with SQLite?

Accepted Answer

No, it only supports PostgreSQL and MySQL; for SQLite, you'd need to stick with sync peewee or use alternative async solutions, as SQLite's async drivers are not integrated.

Question 6

How to handle connection pooling in peewee-async?

Accepted Answer

Use the provided pooled database classes like PooledPostgresqlDatabase, which manage connections efficiently in async contexts, but configure pool size and timeouts based on your application's load.

Question 7

Are there any performance trade-offs with peewee-async?

Accepted Answer

Yes, while async operations improve concurrency, the overhead of async drivers and potential blocking in sync code mixed with async can impact performance if not managed carefully—benchmark for your use case.

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