<img src="/img/async/concurrent-burgers/concurrent-burgers-01.png" class="illustration">

Dann sind Sie an der Reihe und Sie bestellen zwei sehr schmackhafte Burger für Ihren Schwarm und Sie. 🍔🍔

<img src="/img/async/concurrent-burgers/concurrent-burgers-02.png" class="illustration">

<img src="/img/async/concurrent-burgers/concurrent-burgers-01.png" class="illustration">

⤴️ ⚫️ 👆 🔄, 👆 🥉 👆 ✔ 2️⃣ 📶 🎀 🍔 👆 🥰 &amp; 👆. 👶 👶

<img src="/img/async/concurrent-burgers/concurrent-burgers-02.png" class="illustration">

🏧 💬 🕳 🍳 👨‍🍳 👫 💭 👫 ✔️ 🏗 👆 🍔 (✋️ 👫 ⏳ 🏗 🕐 ⏮️ 👩‍💻).

<img src="/img/async/concurrent-burgers/concurrent-burgers-03.png" class="illustration">

👆 💸. 👶

你和你的恋人一起去快餐店，你排队在后面，收银员从你前面的人接单。😍

<img src="/img/async/concurrent-burgers/concurrent-burgers-01.png" class="illustration">

然后轮到你了，你为你的恋人和你选了两个非常豪华的汉堡。🍔🍔

<img src="/img/async/concurrent-burgers/concurrent-burgers-02.png" class="illustration">

收银员对厨房里的厨师说了一些话，让他们知道他们必须为你准备汉堡（尽管他们目前正在为之前的顾客准备汉堡）。

<img src="/img/async/concurrent-burgers/concurrent-burgers-03.png" class="illustration">

你付钱了。 💸

收银员给你轮到的号码。

    !!! tip
        By adding the `standard`, Uvicorn will install and use some recommended extra dependencies.

        That including `uvloop`, the high-performance drop-in replacement for `asyncio`, that provides the big concurrency performance boost.

        When you install FastAPI with something like `pip install fastapi` you already get `uvicorn[standard]` as well.

=== "Hypercorn"

    But context variables are aware of these async features, so, a Peewee database state set in the `async` dependency `reset_db_state()` will keep its own data throughout the entire request.

    And at the same time, the other concurrent request will have its own database state that will be independent for the whole request.

#### Peewee Proxy

    "pydantic-settings >=2.0.0",
    # Extra Pydantic data types
    "pydantic-extra-types >=2.0.0",
]

[tool.mypy]
strict = true

[[tool.mypy.overrides]]
module = "fastapi.concurrency"
warn_unused_ignores = false
ignore_missing_imports = true

[[tool.mypy.overrides]]
module = "fastapi.tests.*"
ignore_missing_imports = true
check_untyped_defs = true

[[tool.mypy.overrides]]

* ✨ Add illustrations for Concurrent burgers and Parallel burgers. PR [#5277](https://github.com/tiangolo/fastapi/pull/5277) by [@tiangolo](https://github.com/tiangolo). Updated docs at: [Concurrency and Burgers](https://fastapi.tiangolo.com/async/#concurrency-and-burgers).

### Translations

* Others...

## Replication - Processes and Memory

With a FastAPI application, using a server program like Uvicorn, running it once in **one process** can serve multiple clients concurrently.

But in many cases, you will want to run several worker processes at the same time.

### Multiple Processes - Workers

### Conclusão dos hambúrgueres

Nesse cenário dos "hambúrgueres com seu _crush_ :heart_eyes:", como tem muita espera, faz mais sentido ter um sistema concorrente.

Esse é o caso da maioria das aplicações web.

Geralmente são muitos usuários, e seu servidor está esperando pelas suas conexões não tão boas para enviar as requisições.

# 並行処理と async / await

*path operation 関数*のための `async def` に関する詳細と非同期 (asynchronous) コード、並行処理 (Concurrency)、そして、並列処理 (Parallelism) の背景について。

## 急いでいますか？

<abbr title="too long; didn't read (長すぎて読めない人のための要約という意味のスラング)"><strong>TL;DR:</strong></abbr>

次のような、`await` を使用して呼び出すべきサードパーティライブラリを使用している場合:

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

以下の様に `async def` を使用して*path operation 関数*を宣言します。

```Python hl_lines="2"
@app.get('/')