How to use fastapi-pagination with SQLAlchemy in FastAPI?

Import `paginate` from `fastapi_pagination.ext.sqlalchemy` and use it with your SQLAlchemy session and query, as shown in the Quickstart. This allows database-level pagination to avoid memory issues and improve performance.

fastapi-pagination vs manual pagination: which is better for FastAPI?

fastapi-pagination saves time with pre-built strategies and OpenAPI integration, but manual pagination offers more control for unique requirements. Choose fastapi-pagination for standard needs to reduce boilerplate, but be mindful of its default memory usage.

Does fastapi-pagination work with MongoDB through PyMongo?

Yes, it supports PyMongo for MongoDB integration. You can use similar pagination utilities to handle NoSQL queries, making it versatile for different database types, as mentioned in the features.

How to handle large datasets without memory issues in fastapi-pagination?

Avoid the in-memory `paginate` function for large data. Instead, use database-specific pagination from extensions like `fastapi_pagination.ext.sqlalchemy` to paginate at the query level, which is more efficient and scalable.

Can I customize the pagination response format in fastapi-pagination?

Yes, you can extend the `Page` class or use custom parameters, but advanced customizations may require overriding base classes. The library provides some flexibility, though deep changes might need extra work.

Is fastapi-pagination compatible with asynchronous endpoints?

Absolutely, it fully supports async/await syntax, allowing seamless integration with asynchronous FastAPI endpoints for modern, non-blocking applications, as noted in the features.

Open-Awesome

FastAPI Pagination

MITPython0.16.0b1

A Python library that simplifies pagination in FastAPI applications with support for multiple strategies and database frameworks.

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1.7k stars163 forks0 contributors

What is FastAPI Pagination?

fastapi-pagination is a Python library that simplifies pagination in FastAPI applications. It provides utility functions and data models to paginate database queries and return structured paginated responses, supporting multiple strategies like cursor-based and page-based pagination. It solves the problem of manually implementing pagination logic, reducing boilerplate code and ensuring consistency across endpoints.

Target Audience

FastAPI developers building RESTful APIs that require paginated responses, especially those using SQLAlchemy, Tortoise ORM, PyMongo, or similar database frameworks.

Value Proposition

Developers choose fastapi-pagination for its simplicity, flexibility with multiple pagination strategies, and seamless integration with various database frameworks, all while maintaining async/await compatibility and automatic OpenAPI schema generation.

Overview

FastAPI pagination 📖

Use Cases

Best For

Adding pagination to FastAPI endpoints with minimal code changes
Implementing cursor-based pagination for real-time or infinite-scroll APIs
Paginating SQLAlchemy queries in FastAPI applications
Building paginated REST APIs with Tortoise ORM or PyMongo
Generating OpenAPI schemas for paginated responses automatically
Reducing boilerplate code for pagination logic across multiple endpoints

Not Ideal For

APIs built with web frameworks other than FastAPI, such as Flask or Django
Projects requiring highly customized pagination logic beyond cursor-based or page-based strategies
Applications with static or small datasets where pagination adds unnecessary complexity

Pros & Cons

Pros

Multiple Pagination Strategies

Supports cursor-based and page-based pagination, offering flexibility for different API designs like infinite scroll or traditional page navigation, as highlighted in the Key Features.

Broad Database Integration

Works with SQLAlchemy, Tortoise ORM, PyMongo, and other frameworks, reducing boilerplate code for various SQL and NoSQL backends, as stated in the introduction.

Async/Await Compatibility

Built for modern Python with async/await support, enabling non-blocking pagination in asynchronous FastAPI endpoints, which is explicitly mentioned in the features.

Automatic OpenAPI Generation

Automatically generates paginated response schemas in OpenAPI documentation, as demonstrated in the Quickstart example with the generated schema image.

Minimal Code Integration

Uses simple functions like `paginate` and the `Page` class to add pagination with minimal code changes, as shown in the Quickstart code snippet for both in-memory and database queries.

Cons

Memory Overhead with Default Paginate

The default `paginate` function loads all data into memory, which can cause performance issues with large datasets, as explicitly warned in the README's database caution note.

Tight Coupling with FastAPI

Exclusively designed for FastAPI, making it unsuitable for projects using other web frameworks, which limits its applicability and creates vendor lock-in.

Requires Database-Specific Extensions

For efficient database pagination, you must use specific extensions like `fastapi_pagination.ext.sqlalchemy`, adding setup complexity and potential learning curve beyond the base library.

Frequently Asked Questions

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