_ = x[HandlerGetProcInfo-46]
	_ = x[HandlerGetOSInfo-47]
	_ = x[HandlerGetPartitions-48]
	_ = x[HandlerGetNetInfo-49]
	_ = x[HandlerGetCPUs-50]
	_ = x[HandlerServerInfo-51]
	_ = x[HandlerGetSysConfig-52]
	_ = x[HandlerGetSysServices-53]
	_ = x[HandlerGetSysErrors-54]
	_ = x[HandlerGetAllBucketStats-55]
	_ = x[HandlerGetBucketStats-56]
	_ = x[HandlerGetSRMetrics-57]
	_ = x[HandlerGetPeerMetrics-58]

    cache.put(10, 100);
    cache.put(2, 52);

    asMap.replace(2, 79);
    asMap.replace(3, 60);

    assertEquals(null, cache.getIfPresent(3));
    assertEquals(null, asMap.get(3));

    assertEquals(Integer.valueOf(79), cache.getIfPresent(2));
    assertEquals(Integer.valueOf(79), asMap.get(2));

    asMap.replace(10, 100, 50);
    asMap.replace(2, 52, 99);

0000240 25 1d a2 12 a5 59 24 ea 20 5f 52 6d ad 94 db 6b
0000250 94 b9 5d eb 4b a7 5c 44 bb 1e f2 3c 6b cf 52 c9
0000260 e9 e5 ba 06 b9 c4 e5 0a d0 00 0d d0 00 0d d0 00
0000270 0d d0 00 0d d0 00 0d d0 00 0d d0 00 0d d0 00 0d
0000280 d0 00 0d d0 00 0d d0 00 0d d0 00 0d d0 00 0d d0
0000290 00 0d d0 00 0d d0 00 0d d0 00 0d d0 00 0d d0 00
00002a0 0d d0 00 cd ff 9e 46 86 fa a7 7d 3a 43 d7 8e 10
00002b0 52 e9 be e6 6e cf eb 9e 85 4d 65 ce cc 30 c1 44

	## docker-compose on all runners
	go install github.com/docker/compose/v2/cmd@latest
	mv -v /tmp/gopath/bin/cmd /tmp/gopath/bin/docker-compose

	TAG=minio/minio:dev make docker

	MINIO_VERSION=RELEASE.2019-12-19T22-52-26Z docker-compose \
		-f "buildscripts/upgrade-tests/compose.yml" \
		up -d --build

	add_alias

	mc mb minio/minio-test/
	mc cp ./minio minio/minio-test/to-read/
	mc cp /etc/hosts minio/minio-test/to-read/hosts

3389228,1,2014-03-28 13:52:56,2014-03-28 14:29:01,N,1,-73.950569152832031,40.792312622070313,-73.868507385253906,40.688491821289063,2,16.10,46,0,0.5,0,5.33,,,51.83,2,,75,63,green,0.04,0.0,0.0,62,37,5.37,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1544,1...

{!../../../docs_src/async_sql_databases/tutorial001.py!}
```

这两个 Pydantic 模型都可以辅助验证、序列化（转换）并注释（存档）输入的数据。

因此，API 文档会显示这些数据。

## 连接与断开

* 创建 `FastAPI` 应用
* 创建事件处理器，执行数据库连接与断开操作

```Python hl_lines="42  45-47  50-52"
{!../../../docs_src/async_sql_databases/tutorial001.py!}
```

## 读取笔记

创建读取笔记的*路径操作函数*：

```Python hl_lines="55-58"
{!../../../docs_src/async_sql_databases/tutorial001.py!}
```

!!! Note "笔记"

```

🏗 👫 Pydantic 🏷, 🔢 💽 🔜 ✔, 🎻 (🗜), & ✍ (📄).

, 👆 🔜 💪 👀 ⚫️ 🌐 🎓 🛠️ 🩺.

## 🔗 & 🔌

* ✍ 👆 `FastAPI` 🈸.
* ✍ 🎉 🐕‍🦺 🔗 & 🔌 ⚪️➡️ 💽.

```Python hl_lines="42  45-47  50-52"
{!../../../docs_src/async_sql_databases/tutorial001.py!}
```

## ✍ 🗒

✍ *➡ 🛠️ 🔢* ✍ 🗒:

```Python hl_lines="55-58"
{!../../../docs_src/async_sql_databases/tutorial001.py!}
```

!!! Note

## Await for messages and send messages

In your WebSocket route you can `await` for messages and send messages.

```Python hl_lines="48-52"
{!../../../docs_src/websockets/tutorial001.py!}
```

You can receive and send binary, text, and JSON data.

## Try it

If your file is named `main.py`, run your application with:

<div class="termy">

    您也可以使用 `from starlette.websockets import WebSocket`。

    **FastAPI** 直接提供了相同的 `WebSocket`，只是为了方便开发人员。但它直接来自 Starlette。

## 等待消息并发送消息

在您的 WebSocket 路由中，您可以使用 `await` 等待消息并发送消息。

```Python hl_lines="48-52"
{!../../../docs_src/websockets/tutorial001.py!}
```

您可以接收和发送二进制、文本和 JSON 数据。

## 尝试一下

如果您的文件名为 `main.py`，请使用以下命令运行应用程序：

```console
$ uvicorn main:app --reload

## Connect and disconnect

* Create your `FastAPI` application.
* Create event handlers to connect and disconnect from the database.

```Python hl_lines="42  45-47  50-52"
{!../../../docs_src/async_sql_databases/tutorial001.py!}
```

## Read notes

Create the *path operation function* to read notes:

```Python hl_lines="55-58"