///

You can add a `title`:

{* ../../docs_src/query_params_str_validations/tutorial007_an_py310.py hl[10] *}

And a `description`:

{* ../../docs_src/query_params_str_validations/tutorial008_an_py310.py hl[14] *}

## Alias parameters { #alias-parameters }

Imagine that you want the parameter to be `item-query`.

Like in:

```
http://127.0.0.1:8000/items/?item-query=foobaritems
```

Você teria **um único objeto `engine`** para todo o seu código se conectar ao mesmo banco de dados.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[14:18] hl[14:15,17:18] *}

Usar `check_same_thread=False` permite que o FastAPI use o mesmo banco de dados SQLite em diferentes threads. Isso é necessário, pois **uma única requisição** pode usar **mais de uma thread** (por exemplo, em dependências).

	XVSRLB		$5, X2		// 42343077
	XVSRLH		$0, X2, X1	// 41403077
	XVSRLH		$15, X2, X1	// 417c3077
	XVSRLH		$9, X2		// 42643077
	XVSRLW		$0, X2, X1	// 41803077
	XVSRLW		$31, X2, X1	// 41fc3077
	XVSRLW		$14, X2		// 42b83077
	XVSRLV		$0, X2, X1	// 41003177
	XVSRLV		$63, X2, X1	// 41fc3177
	XVSRLV		$45, X2		// 42b43177
	XVSRAB		$0, X2, X1	// 41203477
	XVSRAB		$7, X2, X1	// 413c3477
	XVSRAB		$6, X2		// 42383477

		13: {bucketName: bucket, objName: object, inputData: []byte("mnop"), inputMeta: map[string]string{"etag": "e132e96a5ddad6da8b07bba6f6131fef"}, inputDataSize: int64(len("mnop"))},

		// With no metadata
		14: {bucketName: bucket, objName: object, inputData: data, inputDataSize: int64(len(data)), expectedMd5: getMD5Hash(data)},

///

Puedes agregar un `title`:

{* ../../docs_src/query_params_str_validations/tutorial007_an_py310.py hl[10] *}

Y una `description`:

{* ../../docs_src/query_params_str_validations/tutorial008_an_py310.py hl[14] *}

## Alias para parámetros { #alias-parameters }

Imagina que quieres que el parámetro sea `item-query`.

Como en:

```
http://127.0.0.1:8000/items/?item-query=foobaritems
```

	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z *BatchJobExpireFilter) Msgsize() (s int) {
	s = 1 + 10 + z.OlderThan.Msgsize() + 14
	if z.CreatedBefore == nil {
		s += msgp.NilSize
	} else {
		s += msgp.TimeSize
	}
	s += 5 + msgp.ArrayHeaderSize
	for za0001 := range z.Tags {
		s += z.Tags[za0001].Msgsize()
	}

SHA256ROUND1(62, 0xbef9a3f7, 2, 3, 4, 5, 6, 7, 0, 1) SHA256ROUND1(63, 0xc67178f2, 1, 2, 3, 4, 5, 6, 7, 0) MOVL dig+0(FP), BP MOVL (0*4)(BP), AX // H0 = a + H0 ADDL (0*4)(DI), AX MOVL AX, (0*4)(DI) MOVL AX, (0*4)(BP) MOVL (1*4)(BP), BX // H1 = b + H1 ADDL (1*4)(DI), BX MOVL BX, (1*4)(DI) MOVL BX, (1*4)(BP) MOVL (2*4)(BP), CX // H2 = c + H2 ADDL (2*4)(DI), CX MOVL CX, (2*4)(DI) MOVL CX, (2*4)(BP) MOVL (3*4)(BP), DX // H3 = d + H3 ADDL (3*4)(DI), DX MOVL DX, (3*4)(DI) MOVL DX, (3*4)(BP) MOVL (4*4)(BP), AX // H4...

			accessKey:          credentials.AccessKey,
			secretKey:          credentials.SecretKey,
			expectedRespStatus: http.StatusPreconditionFailed,
		},
		// Test case - 14, copy metadata from newObject1 with wrong modified header format
		14: {
			bucketName:         bucketName,
			newObjectName:      "newObject1",
			copySourceHeader:   url.QueryEscape(SlashSeparator + bucketName + SlashSeparator + objectName),

github.com/lestrrat-go/iter v1.0.2 h1:gMXo1q4c2pHmC3dn8LzRhJfP1ceCbgSiT9lUydIzltI=
github.com/lestrrat-go/iter v1.0.2/go.mod h1:Momfcq3AnRlRjI5b5O8/G5/BvpzrhoFTZcn06fEOPt4=
github.com/lestrrat-go/jwx/v2 v2.1.4 h1:uBCMmJX8oRZStmKuMMOFb0Yh9xmEMgNJLgjuKKt4/qc=
github.com/lestrrat-go/jwx/v2 v2.1.4/go.mod h1:nWRbDFR1ALG2Z6GJbBXzfQaYyvn751KuuyySN2yR6is=
github.com/lestrrat-go/option v1.0.1 h1:oAzP2fvZGQKWkvHa1/SAcFolBEca1oN+mQ7eooNBEYU=

### 创建引擎（Engine）

SQLModel 的引擎 `engine`（实际上它是一个 SQLAlchemy `engine` ）是用来与数据库**保持连接**的。

您只需构建**一个 `engine`**，来让您的所有代码连接到同一个数据库。

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[14:18] hl[14:15,17:18] *}

使用 `check_same_thread=False` 可以让 FastAPI 在不同线程中使用同一个 SQLite 数据库。这很有必要，因为**单个请求**可能会使用**多个线程**（例如在依赖项中）。

不用担心，我们会按照代码结构确保**每个请求使用一个单独的 SQLModel *会话***，这实际上就是 `check_same_thread` 想要实现的。

### 创建表