{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[25:30]  hl[25:27,30] *}

### Criar Tabelas de Banco de Dados na Inicialização { #create-database-tables-on-startup }

Vamos criar as tabelas do banco de dados quando o aplicativo for iniciado.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[32:37] hl[35:37] *}

Aqui, criamos as tabelas em um evento de inicialização do aplicativo.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[25:30]  hl[25:27,30] *}

### Crear Tablas de Base de Datos al Arrancar { #create-database-tables-on-startup }

Crearemos las tablas de la base de datos cuando arranque la aplicación.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[32:37] hl[35:37] *}

Aquí creamos las tablas en un evento de inicio de la aplicación.

labels.query=Requête
labels.queryId=ID de requête
labels.rt=rt
labels.searchLog=Journal de recherche
labels.sort=Trier
labels.start=Démarrer
labels.loginRequired=Connexion requise
labels.loginLink=Afficher le lien de connexion
labels.threadName=Nom du thread
labels.url=URL
labels.userFavorite=Journal des favoris
labels.userInfo=Informations utilisateur
labels.webApiJson=Réponse JSON

labels.hq=hq
labels.inputs=Eingaben
labels.jobLogging=Protokollierung
labels.jobName=Name
labels.jobStatus=Status
labels.labelTypeIds=Labels
labels.lang=Sprache
labels.outputs=Ausgaben
labels.pos=Wortart
labels.purgeJobLogDay=Alte Jobprotokolle löschen
labels.purgeUserInfoDay=Alte Benutzerprotokolle löschen
labels.reading=Lesen
labels.roleTypeIds=Rollen-IDs
labels.scriptData=Skript
labels.scriptResult=Ergebnis

labels.num=Num
labels.pn=Page Number
labels.protocolScheme=Scheme
labels.purgeByBots=Purge Bots
labels.logLevel=Log Level
labels.purgeSearchLogDay=Purge Search Log
labels.query=Query
labels.queryId=Query ID
labels.rt=rt
labels.searchLog=Search Log
labels.sort=Sort
labels.start=Start
labels.loginRequired=Login Required
labels.loginLink=Show Login Link
labels.threadName=Thread Name
labels.url=URL

 * associated with it: It is not possible to "remove" a value, only to replace it with {@code null},
 * which will still appear when iterating over the table's contents in a foreach loop or a call to a
 * null-hostile method like {@link ImmutableTable#copyOf}. For alternatives, please see <a
 * href="https://github.com/google/guava/wiki/NewCollectionTypesExplained#table">the wiki</a>.
 *

labels.num=Num
labels.pn=Page Number
labels.protocolScheme=Scheme
labels.purgeByBots=Purge Bots
labels.logLevel=Log Level
labels.purgeSearchLogDay=Purge Search Log
labels.query=Query
labels.queryId=Query ID
labels.rt=rt
labels.searchLog=Search Log
labels.sort=Sort
labels.start=Start
labels.loginRequired=Login Required
labels.loginLink=Show Login Link
labels.threadName=Thread Name
labels.url=URL

labels.name=名稱
labels.numOfThread=執行緒數
labels.duplicateHostName=重複名稱
labels.pageNumber=頁碼
labels.password=密碼
labels.paths=路徑
labels.port=埠
labels.regex=正則表達式
labels.regularName=常規名稱
labels.replacement=替換
labels.sessionId=會話ID
labels.sortOrder=排序順序
labels.updatedBy=更新者
labels.updatedTime=更新時間
labels.urls=URL
labels.userAgent=使用者代理
labels.username=使用者名稱
labels.value=值
labels.versionNo=版本號
labels.cronExpression=排程

				labels: {
					thinking: '<la:message key="labels.chat_thinking" />',
					waiting: '<la:message key="labels.chat_waiting" />',
					error: '<la:message key="labels.chat_error" />',
					sources: '<la:message key="labels.chat_sources" />',
					statusReady: '<la:message key="labels.chat_status_ready" />',
					statusThinking: '<la:message key="labels.chat_status_thinking" />',

Elas tendem a exigir configurações mais complexas, um gerenciador de fila de mensagens/tarefas, como RabbitMQ ou Redis, mas permitem executar tarefas em segundo plano em vários processos e, especialmente, em vários servidores.

Mas se você precisa acessar variáveis e objetos da mesma aplicação **FastAPI**, ou precisa realizar pequenas tarefas em segundo plano (como enviar uma notificação por e-mail), você pode simplesmente usar `BackgroundTasks`.