Question 1

How to set up Beanie with FastAPI?

Accepted Answer

Integrate Beanie by initializing it in FastAPI's startup events using `init_beanie` with your async MongoDB client and document models. The documentation includes examples for dependencies and endpoint setup to handle async database operations seamlessly.

Question 2

Beanie vs Motor: which is better for async MongoDB?

Accepted Answer

Beanie is an ODM built on top of Motor (PyMongo's async driver), adding Pydantic models and higher-level abstractions for data validation. Motor provides low-level async access, so choose Beanie for structured data modeling with validation, or Motor for raw control and performance tuning.

Question 3

Does Beanie support MongoDB transactions?

Accepted Answer

Yes, Beanie supports MongoDB transactions through the underlying PyMongo async client, but it doesn't add specific abstractions for them. You need to use transaction contexts as per PyMongo documentation, which can be more manual compared to ORMs with built-in transaction handling.

Question 4

How to handle relationships between documents in Beanie?

Accepted Answer

Beanie supports document relationships using references or embedded models, similar to Pydantic. You can define relationships in document classes and use query methods to fetch related data, but complex joins might require manual handling due to MongoDB's document-oriented nature.

Question 5

Beanie or MongoEngine for large projects?

Accepted Answer

Beanie is better for modern async stacks like FastAPI due to its async-first design and Pydantic integration, offering type safety. MongoEngine is more mature with a larger ecosystem but is synchronous, so for large async projects, Beanie's advantages in validation and async support are significant.

Question 6

How to migrate schemas in Beanie without data loss?

Accepted Answer

Use Beanie's built-in migration tools to version documents and apply incremental changes. Define migration classes that transform data during updates, and run them as part of your deployment process to handle schema evolution safely.

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