## 安装 `SQLModel`

首先，确保您创建并激活了[虚拟环境](../virtual-environments.md){.internal-link target=_blank}，然后安装了 `sqlmodel` :

<div class="termy">

```console
$ pip install sqlmodel
---> 100%
```

</div>

## 创建含有单一模型的应用程序

我们首先创建应用程序的最简单的第一个版本，只有一个 **SQLModel** 模型。

稍后我们将通过下面的**多个模型**提高其安全性和多功能性。🤓

### 创建模型

导入 `SQLModel` 并创建一个数据库模型：

Nesse caso, seria melhor ter apenas 2 servidores e usar uma porcentagem maior de seus recursos (CPU, memória, disco, largura de banda de rede, etc).

			if disk == nil || disk.Total == 0 {
				continue
			}
			available += disk.Total - disk.Used

			// set maxUsedPct to the value from the disk with the least space percentage.
			if pctUsed := int(disk.Used * 100 / disk.Total); pctUsed > maxUsedPct {
				maxUsedPct = pctUsed
			}
		}

		// Since we are comparing pools that may have a different number of sets
		// we multiply by the number of sets in the pool.

	WorkerMaxLimit = 500

	// WorkerMinLimit min number of workers per node for "slow" mode
	WorkerMinLimit = 50

	// WorkerAutoDefault is default number of workers for "auto" mode
	WorkerAutoDefault = 100

	// MRFWorkerMaxLimit max number of mrf workers per node for "fast" mode
	MRFWorkerMaxLimit = 8

	// MRFWorkerMinLimit min number of mrf workers per node for "slow" mode
	MRFWorkerMinLimit = 2

			return nil, fmt.Errorf("metacacheWriter: unable to create writer: %w", err)
		}
		if w.mw == nil {
			return nil, errors.New("metacacheWriter: writer not initialized")
		}
	}
	objs := make(chan metaCacheEntry, 100)
	w.streamErr = nil
	w.streamWg.Add(1)
	go func() {
		defer w.streamWg.Done()
		for o := range objs {
			if len(o.name) == 0 || w.streamErr != nil {
				continue
			}
			// Indicate EOS

block the server).

If you are coming from another async framework that does not work in the way described above and you are used to defining trivial compute-only *path operation functions* with plain `def` for a tiny performance gain (about 100 nanoseconds), please note that in **FastAPI** the effect would be quite opposite. In these cases, it's better to use `async def` unless your *path operation functions* use code that performs blocking <abbr title="Input/Output: disk reading or writing,...

<div class="termy">

```console
$ pip install "fastapi[standard]"

---> 100%
```

</div>

**Hinweis**: Stellen Sie sicher, dass Sie `"fastapi[standard]"` in Anführungszeichen setzen, damit es in allen Terminals funktioniert.

## Beispiel { #example }

<div class="termy">

```console
$ pip install "fastapi[standard]"

---> 100%
```

</div>

**Note**: Make sure you put `"fastapi[standard]"` in quotes to ensure it works in all terminals.

## Example { #example }

### Create it { #create-it }

## `SQLModel` 설치하기

먼저, [가상 환경](../virtual-environments.md){.internal-link target=_blank}을 생성하고 활성화한 다음, `sqlmodel`을 설치하세요:

<div class="termy">

```console
$ pip install sqlmodel
---> 100%
```

</div>

## 단일 모델로 애플리케이션 생성하기

우선 단일 **SQLModel** 모델을 사용하여 애플리케이션의 가장 간단한 첫 번째 버전을 생성해보겠습니다.

이후 **다중 모델**을 추가하여 보안과 유연성을 강화할 것입니다. 🤓

### 모델 생성하기

`SQLModel`을 가져오고 데이터베이스 모델을 생성합니다:

Si vienes de otro framework async que no funciona de la manera descrita anteriormente y estás acostumbrado a definir funciones de *path operation* solo de cómputo trivial con `def` normal para una pequeña ganancia de rendimiento (alrededor de 100 nanosegundos), ten en cuenta que en **FastAPI** el efecto sería bastante opuesto. En estos casos, es mejor usar `async def` a menos que tus *path operation functions* usen código que realice <abbr title="Input/Output – Entrada/Salida: lectura o escritura...