```

#### 注意

参数:

```Python
connect_args={"check_same_thread": False}
```

...仅用于`SQLite`，在其他数据库不需要它。

!!! info "技术细节"

    默认情况下，SQLite 只允许一个线程与其通信，假设有多个线程的话，也只将处理一个独立的请求。

    这是为了防止意外地为不同的事物（不同的请求）共享相同的连接。

    但是在 FastAPI 中，普遍使用def函数，多个线程可以为同一个请求与数据库交互，所以我们需要使用`connect_args={"check_same_thread": False}`来让SQLite允许这样。

    此外，我们将确保每个请求都在依赖项中获得自己的数据库连接会话，因此不需要该默认机制。

    This was useful in older frameworks designed to have one single thread per request, no more, no less.

    Using this, each request would have its own database connection/session, which is the actual final goal.

### Outras funções de utilidade

    Si vous avez de bonnes connaissances techniques (coroutines, threads, code bloquant, etc.) et êtes curieux de comment **FastAPI** gère `async def` versus le `def` classique, cette partie est faite pour vous.

### Fonctions de chemin

#### 🗒

❌:

```Python
connect_args={"check_same_thread": False}
```

...💪 🕴 `SQLite`. ⚫️ 🚫 💪 🎏 💽.

!!! info "📡 ℹ"

    🔢 🗄 🔜 🕴 ✔ 1️⃣ 🧵 🔗 ⏮️ ⚫️, 🤔 👈 🔠 🧵 🔜 🍵 🔬 📨.

    👉 ❎ 😫 🤝 🎏 🔗 🎏 👜 (🎏 📨).

    ✋️ FastAPI, ⚙️ 😐 🔢 (`def`) 🌅 🌘 1️⃣ 🧵 💪 🔗 ⏮️ 💽 🎏 📨, 👥 💪 ⚒ 🗄 💭 👈 ⚫️ 🔜 ✔ 👈 ⏮️ `connect_args={"check_same_thread": False}`.

```

#### Note

The argument:

```Python
connect_args={"check_same_thread": False}
```

...is needed only for `SQLite`. It's not needed for other databases.

!!! info "Technical Details"

    By default SQLite will only allow one thread to communicate with it, assuming that each thread would handle an independent request.

```

!!! tip
    ✔️ 🤯 👈 🚥 👆 💚 ⚙️ 🎏 💽, 💖 ✳, 👆 🚫 🚫 🔀 🎻. 👆 🔜 💪 ⚙️ 🎏 🏒 💽 🎓.

#### 🗒

❌:

```Python
check_same_thread=False
```

🌓 1️⃣ 🇸🇲 🔰:

```Python
connect_args={"check_same_thread": False}
```

...⚫️ 💪 🕴 `SQLite`.

!!! info "📡 ℹ"

    ⚫️❔ 🎏 📡 ℹ [🗄 (🔗) 💽](../tutorial/sql-databases.md#_7){.internal-link target=_blank} ✔.

    You can probably skip this.

    These are very technical details of how **FastAPI** works underneath.

    If you have quite some technical knowledge (coroutines, threads, blocking, etc.) and are curious about how FastAPI handles `async def` vs normal `def`, go ahead.

### Path operation functions

## In Eile?

<abbr title="too long; didn't read – Zu lang; nicht gelesen"><strong>TL;DR:</strong></abbr>

Wenn Sie Bibliotheken von Dritten verwenden, die mit `await` aufgerufen werden müssen, wie zum Beispiel:

```Python
results = await some_library()
```

Dann deklarieren Sie Ihre *Pfadoperation-Funktionen* mit `async def` wie in:

```Python hl_lines="2"
@app.get('/')
async def read_results():
    results = await some_library()

Se llama "asíncrono" porque el sistema / programa no tiene que estar "sincronizado" con la tarea lenta, esperando el momento exacto en que finaliza la tarea, sin hacer nada, para poder recoger el resultado de la tarea y continuar el trabajo.