svg)](https://slack.min.io) [![license](https://img.shields.io/badge/license-AGPL%20V3-blue)](https://github.com/minio/minio/blob/master/LICENSE) MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads. For more detailed documentation please visit [here](https://min.io/docs/minio/linux/index.html)...

svg)](https://slack.min.io) [![license](https://img.shields.io/badge/license-AGPL%20V3-blue)](https://github.com/minio/minio/blob/master/LICENSE) MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads. For more detailed documentation please visit [here](https://min.io/docs/minio/linux/index.html)...

svg)](https://slack.min.io) [![license](https://img.shields.io/badge/license-AGPL%20V3-blue)](https://github.com/minio/minio/blob/master/LICENSE) MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads. For more detailed documentation please visit [here](https://min.io/docs/minio/linux/index.html)...

svg)](https://slack.min.io) [![license](https://img.shields.io/badge/license-AGPL%20V3-blue)](https://github.com/minio/minio/blob/master/LICENSE) MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads. For more detailed documentation please visit [here](https://docs.minio.io/) ## Introduction...

不過，在這兩種情況下，**FastAPI** [仍然很快](index.md#performance)，至少與你之前的框架相當（或者更快）。

### 依賴項(Dependencies) { #dependencies }

同樣適用於[依賴項](tutorial/dependencies/index.md)。如果依賴項是一個標準的 `def` 函式，而不是 `async def`，那麼它在外部的執行緒池被運行。

### 子依賴項 { #sub-dependencies }

在这两种情况下，与你之前的框架相比，**FastAPI** 可能[仍然很快](index.md#performance)。

### 依赖 { #dependencies }

这同样适用于[依赖](tutorial/dependencies/index.md)。如果一个依赖是标准的 `def` 函数而不是 `async def`，它将被运行在外部线程池中。

### 子依赖 { #sub-dependencies }

* to decode

* the exception
* to raise

* the expression
* the statement

* the frontend
* the backend

* the GitHub discussion
* the GitHub issue

* the performance
* the performance optimization

* the return type
* the return value

* the security
* the security scheme

* the task
* the background task
* the task function

* the template

* decoder
* encode etmek
* decode etmek

* exception
* raise etmek

* expression
* statement

* frontend
* backend

* GitHub discussion
* GitHub issue

* performance
* performance optimization

* return type
* return value

* security
* security scheme

* task
* background task
* task function

* template
* template engine

Et c'est le même niveau de performance que celui obtenu avec **FastAPI**.

这里是一些指向文档中其他部分的链接，用于解答一般性或常见问题。

## 数据过滤 - 安全性 { #filter-data-security }

为确保不返回超过需要的数据，请阅读 [教程 - 响应模型 - 返回类型](../tutorial/response-model.md) 文档。

## 优化响应性能 - 响应模型 - 返回类型 { #optimize-response-performance-response-model-return-type }

在返回 JSON 数据时优化性能，请使用返回类型或响应模型，这样 Pydantic 会在 Rust 侧处理到 JSON 的序列化，而无需经过 Python。更多内容请阅读 [教程 - 响应模型 - 返回类型](../tutorial/response-model.md) 文档。

## 文档的标签 - OpenAPI { #documentation-tags-openapi }