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

### Create Database Tables on Startup { #create-database-tables-on-startup }

We will create the database tables when the application starts.

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

Here we create the tables on an application startup event.

{* ../../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.

	stmt := &gorm.Statement{DB: m.DB}
	if m.DB.Statement != nil {
		stmt.Table = m.DB.Statement.Table
		stmt.TableExpr = m.DB.Statement.TableExpr
	}

	if table, ok := value.(string); ok {
		stmt.Table = table
	} else if err := stmt.ParseWithSpecialTableName(value, stmt.Table); err != nil {
		return err
	}

	return fc(stmt)
}

// DataTypeOf return field's db data type

### Создание нескольких моделей { #create-multiple-models }

В **SQLModel** любая модель с `table=True` — это **модель-таблица**.

Любая модель без `table=True` — это **модель данных**, по сути обычная модель Pydantic (с парой небольших дополнений). 🤓

С SQLModel мы можем использовать **наследование**, чтобы **избежать дублирования** полей.

### Mehrere Modelle erstellen { #create-multiple-models }

In **SQLModel** ist jede Modellklasse, die `table=True` hat, ein **Tabellenmodell**.

Und jede Modellklasse, die `table=True` nicht hat, ist ein **Datenmodell**, diese sind tatsächlich nur Pydantic-Modelle (mit ein paar kleinen zusätzlichen Funktionen). 🤓

### Criar Múltiplos Modelos { #create-multiple-models }

No **SQLModel**, qualquer classe de modelo que tenha `table=True` é um **modelo de tabela**.

E qualquer classe de modelo que não tenha `table=True` é um **modelo de dados**, esses são na verdade apenas modelos Pydantic (com alguns recursos extras pequenos). 🤓

from sqlalchemy import StaticPool
from sqlmodel import SQLModel, create_engine
from sqlmodel.main import default_registry

from tests.utils import needs_py310


def clear_sqlmodel():
    # Clear the tables in the metadata for the default base model
    SQLModel.metadata.clear()
    # Clear the Models associated with the registry, to avoid warnings
    default_registry.dispose()


@pytest.fixture(
    name="client",

from sqlalchemy import StaticPool
from sqlmodel import SQLModel, create_engine
from sqlmodel.main import default_registry

from tests.utils import needs_py310


def clear_sqlmodel():
    # Clear the tables in the metadata for the default base model
    SQLModel.metadata.clear()
    # Clear the Models associated with the registry, to avoid warnings
    default_registry.dispose()


@pytest.fixture(
    name="client",

- release-notes.md
markdown_extensions:
  material.extensions.preview:
    targets:
      include:
      - '*'
  abbr: null
  attr_list: null
  footnotes: null
  md_in_html: null
  tables: null
  toc:
    permalink: true
  pymdownx.betterem: null
  pymdownx.caret: null
  pymdownx.highlight:
    line_spans: __span
  pymdownx.inlinehilite: null
  pymdownx.keys: null
  pymdownx.mark: null

Example:

    Source (English):

        «««
        <abbr title="Object Relational Mapper: a fancy term for a library where some classes represent SQL tables and instances represent rows in those tables">ORM</abbr>
        »»»

    Result (German):

        «««