{* ../../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.

    }
  }

  /**
   * Returns the bucket (in either the K-to-V or V-to-K tables) where elements with the specified
   * hash could be found, if present, or could be inserted.
   */
  private int bucket(int hash) {
    return hash & (hashTableKToV.length - 1);
  }

  /** Given a key, returns the index of the entry in the tables, or ABSENT if not found. */
  private int findEntryByKey(@Nullable Object key) {

### 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). 🤓

### 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). 🤓

    AtomicReferenceArray<ReferenceEntry<Object, Object>> table = segment.table;
    int index = hash & (table.length() - 1);

    // already loading
    DummyEntry<Object, Object> entry = DummyEntry.create(key, hash, null);
    DummyValueReference<Object, Object> valueRef = DummyValueReference.create(null);
    valueRef.setLoading(true);
    entry.setValueReference(valueRef);
    table.set(index, entry);

    AtomicReferenceArray<ReferenceEntry<Object, Object>> table = segment.table;
    int index = hash & (table.length() - 1);

    // already loading
    DummyEntry<Object, Object> entry = DummyEntry.create(key, hash, null);
    DummyValueReference<Object, Object> valueRef = DummyValueReference.create(null);
    valueRef.setLoading(true);
    entry.setValueReference(valueRef);
    table.set(index, entry);

| `license_info` | `dict` | Информация о лицензии открытого API. Может содержать несколько полей. <details><summary>поля <code>license_info</code></summary><table><thead><tr><th>Параметр</th><th>Тип</th><th>Описание</th></tr></thead><tbody><tr><td><code>name</code></td><td><code>str</code></td><td><strong>ОБЯЗАТЕЛЬНО</strong>...

| `license_info` | `dict` | As informações de licença para a API exposta. Ela pode conter vários campos. <details><summary>Campos de <code>license_info</code></summary><table><thead><tr><th>Parâmetro</th><th>Tipo</th><th>Descrição</th></tr></thead><tbody><tr><td><code>name</code></td><td><code>str</code></td><td><strong>OBRIGATÓRIO</strong>...

| `license_info` | `dict` | Die Lizenzinformationen für die freigegebene API. Kann mehrere Felder enthalten. <details><summary><code>license_info</code>-Felder</summary><table><thead><tr><th>Parameter</th><th>Typ</th><th>Beschreibung</th></tr></thead><tbody><tr><td><code>name</code></td><td><code>str</code></td><td><strong>E...

| `license_info` | `dict` | La información de la licencia para la API expuesta. Puede contener varios campos. <details><summary><code>license_info</code> fields</summary><table><thead><tr><th>Parámetro</th><th>Tipo</th><th>Descripción</th></tr></thead><tbody><tr><td><code>name</code></td><td><code>str</code></td><td><strong>REQUERIDO</strong>...