### 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). 🤓

          }
        }
      }
      table = newTable;
      this.count = newCount;
    }

    boolean replace(K key, int hash, V oldValue, V newValue) {
      lock();
      try {
        preWriteCleanup();

        AtomicReferenceArray<E> table = this.table;
        int index = hash & (table.length() - 1);
        E first = table.get(index);

 */

package jcifs.smb;

/**
 * Interface defining DOS error codes and their mappings to NT status codes.
 * Provides lookup tables for converting between DOS and NT error representations.
 */
public interface DosError {

    /**
     * Mapping table from DOS error codes to NT status codes.
     * Each entry contains a pair of [DOS error code, NT status code].
     */

 */

package jcifs.smb1.smb1;

/**
 * Interface defining DOS error codes and their mappings to NT status codes for SMB1 protocol.
 * Provides lookup tables for converting between DOS and NT error representations.
 */
public interface DosError {

    /**
     * Mapping table from DOS error codes to NT status codes.
     * Each entry contains a pair of [DOS error code, NT status code].
     */
    int[][] DOS_ERROR_CODES =

 * limitations under the License.
 */

package com.google.common.collect;

import static com.google.common.collect.Tables.immutableCell;
import static com.google.common.truth.Truth.assertThat;

import com.google.common.annotations.GwtCompatible;
import com.google.common.collect.Table.Cell;
import org.jspecify.annotations.NullMarked;

/**
 * @author Gregory Kick
 */
@GwtCompatible
@NullMarked

  }

  /**
   * Sets the minimum total size for the internal hash tables. For example, if the initial capacity
   * is {@code 60}, and the concurrency level is {@code 8}, then eight segments are created, each
   * having a hash table of size eight. Providing a large enough estimate at construction time

	newDB := DB.Session(&gorm.Session{NewDB: true, DryRun: true}).Table("users")

	newDB.Clauses(
		clause.From{
			Tables: []clause.Table{{Name: "users"}},
			Joins: []clause.Join{
				{
					Table: clause.Table{Name: "companies", Raw: false},
					ON: clause.Where{
						Exprs: []clause.Expression{
							clause.Eq{
								Column: clause.Column{
									Table: "users",
									Name:  "company_id",
								},

### 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.

 *   <li>{@link MoreCollectors}
 *   <li>{@link Multimaps}
 *   <li>{@link Multisets}
 *   <li>{@link ObjectArrays}
 *   <li>{@link Queues}
 *   <li>{@link Sets}
 *   <li>{@link Streams}
 *   <li>{@link Tables}
 * </ul>
 *
 * <h2>Abstract implementations</h2>
 *
 * <ul>
 *   <li>{@link AbstractIterator}
 *   <li>{@link AbstractSequentialIterator}
 *   <li>{@link UnmodifiableIterator}

匯入 `SQLModel` 並建立一個資料庫模型：

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[1:11] hl[7:11] *}

`Hero` 類別與 Pydantic 模型非常相似（事實上，在底層它就是一個 Pydantic 模型）。

有幾點差異：

* `table=True` 告訴 SQLModel 這是一個「資料表模型」（table model），它應該代表 SQL 資料庫中的一個資料表，而不僅僅是「資料模型」（就像一般的 Pydantic 類別）。

* `Field(primary_key=True)` 告訴 SQLModel，`id` 是 SQL 資料庫中的「主鍵」。 （你可以在 SQLModel 文件中進一步了解 SQL 主鍵）