{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[40:45] hl[40:45] *}

</details>

Aqui, usamos a dependência `SessionDep` (uma `Session`) para adicionar o novo `Hero` à instância `Session`, fazer commit das alterações no banco de dados, atualizar os dados no `hero` e então retorná-lo.

### Ler Heroes

Spark/Hadoop workloads which use Hadoop MR Committer v1/v2 algorithm upload objects to a temporary prefix in a bucket. These objects are 'renamed' to a different prefix on Job commit. Object storage admins are forced to configure separate ILM policies to expire these objects and their versions to reclaim space.

### Solution

			Description: "batch size of the events; used only when queue_dir is set",
			Optional:    true,
			Type:        "number",
		},
		config.HelpKV{
			Key:         target.KafkaBatchCommitTimeout,
			Description: "commit timeout set for the batch; used only when batch_size > 1",
			Optional:    true,
			Type:        "duration",
		},
	}

	HelpMQTT = config.HelpKVS{
		config.HelpKV{
			Key:         target.MqttBroker,

Como ele roda um comando após o outro, modificando e revertendo muitos arquivos, ele demora um pouco para concluir, então pode ser um pouco mais fácil utilizar `scripts/format.sh` frequentemente e `scripts/format-imports.sh` somente após "commitar uma branch".

## Documentação

Primeiro, tenha certeza de configurar seu ambiente como descrito acima, isso irá instalar todas as requisições.

		expectedRQuorum = len(partsMetadata)
	}

	reducedErr := reduceReadQuorumErrs(ctx, errs, objectOpIgnoredErrs, expectedRQuorum)
	if reducedErr != nil {
		return FileInfo{}, reducedErr
	}

	// List all the file commit ids from parts metadata.
	modTimes := listObjectModtimes(partsMetadata, errs)

	// Count all latest updated FileInfo values
	var count int
	var latestFileInfo FileInfo

## Documentation

Tout d'abord, assurez-vous que vous configurez votre environnement comme décrit ci-dessus, qui installera toutes les exigences.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[40:45] hl[40:45] *}

</details>

Here we use the `SessionDep` dependency (a `Session`) to add the new `Hero` to the `Session` instance, commit the changes to the database, refresh the data in the `hero`, and then return it.

### Read Heroes

We can **read** `Hero`s from the database using a `select()`. We can include a `limit` and `offset` to paginate the results.

通过创建仅专用于与数据库交互（获取用户或项目）的函数，独立于*路径操作函数*，您可以更轻松地在多个部分中重用它们，并为它们添加单元测试。

///

### 创建数据

现在创建工具函数来创建数据。

它的步骤是：

* 使用您的数据创建一个 SQLAlchemy 模型*实例。*
* 使用`add`来将该实例对象添加到数据库会话。
* 使用`commit`来将更改提交到数据库（以便保存它们）。
* 使用`refresh`来刷新您的实例对象（以便它包含来自数据库的任何新数据，例如生成的 ID）。

```Python hl_lines="18-24  31-36"
{!../../docs_src/sql_databases/sql_app/crud.py!}
```

/// tip

                         * sent. Unfortunately calling disconnect() doesn't always
                         * actually shutdown the connection before other threads
                         * have committed themselves (e.g. InterruptTest example).
                         */
                        try {
                            trans.disconnect(true);
                        }

 *  Fix: Honor `OkUrlFactory` APIs that disable redirects.
 *  Fix: Don't crash on concurrent modification of `SPDY` SPDY settings.

## Version 2.0.0

This release commits to a stable 2.0 API. Read the 2.0.0-RC1 changes for advice
on upgrading from 1.x to 2.x.

_2014-06-21_

 *  **API Change**: Use `IOException` in `Callback.onFailure()`. This is