#### `HeroBase` – die Basisklasse { #herobase-the-base-class }

Fangen wir mit einem `HeroBase`-Modell an, das alle **Felder hat, die von allen Modellen geteilt werden**:

* `name`
* `age`

{* ../../docs_src/sql_databases/tutorial002_an_py310.py ln[7:9] hl[7:9] *}

#### `Hero` – das *Tabellenmodell* { #hero-the-table-model }

  var result = headerValue
  if (result == null) {
    result =
      buildString {
        if (noCache) append("no-cache, ")
        if (noStore) append("no-store, ")
        if (maxAgeSeconds != -1) append("max-age=").append(maxAgeSeconds).append(", ")
        if (sMaxAgeSeconds != -1) append("s-maxage=").append(sMaxAgeSeconds).append(", ")
        if (isPrivate) append("private, ")
        if (isPublic) append("public, ")

from sqlmodel import Field, Session, SQLModel, create_engine, select


class Hero(SQLModel, table=True):
    id: Union[int, None] = Field(default=None, primary_key=True)
    name: str = Field(index=True)
    age: Union[int, None] = Field(default=None, index=True)
    secret_name: str


sqlite_file_name = "database.db"
sqlite_url = f"sqlite:///{sqlite_file_name}"

connect_args = {"check_same_thread": False}

    FastAPI ist weiterhin in der Lage, die Daten nach JSON zu <abbr title="Konvertieren der Daten in ein übertragbares Format">serialisieren</abbr>.

7. Hier verwendet das `response_model` als Typannotation eine Liste von `Author`-Datenklassen.

我们从一个 `HeroBase` 模型开始，该模型具有所有模型**共享的字段**：

* `name`
* `age`

{* ../../docs_src/sql_databases/tutorial002_an_py310.py ln[7:9] hl[7:9] *}

#### `Hero` - *表模型*

接下来，我们创建 `Hero` ，实际的*表模型*，并添加那些不总是在其他模型中的**额外字段**：

* `id`
* `secret_name`

因为 `Hero` 继承自 HeroBase ，所以它**也**包含了在 `HeroBase` 中声明过的**字段**。因此 `Hero` 的所有字段为：

* `id`
* `name`
* `age`
* `secret_name`

	}
}

func BenchmarkUpdate(b *testing.B) {
	user := *GetUser("find", Config{})
	DB.Create(&user)

	for x := 0; x < b.N; x++ {
		DB.Model(&user).Updates(map[string]interface{}{"Age": x})
	}
}

func BenchmarkDelete(b *testing.B) {
	user := *GetUser("find", Config{})

	for x := 0; x < b.N; x++ {
		user.ID = 0
		DB.Create(&user)
		DB.Delete(&user)
	}

						columnType.Name(), length, 100, columnType)
				}
			case "age":
				if v, ok := columnType.DefaultValue(); !ok || v != "18" {
					t.Fatalf("column age default value should be correct, name: %v, column: %#v", columnType.Name(),
						columnType)
				}
				if v, ok := columnType.Comment(); !ok || v != "my age" {
					t.Fatalf("column age comment should be correct, name: %v, column: %#v", columnType.Name(),
						columnType)

    * Add hugepages monitoring support
    * Fix incorrect CPU usage metrics with 4.7 kernel
    * Add tmpfs monitoring support
* Support for Huge pages in empty_dir volume plugin ([#50072](https://github.com/kubernetes/kubernetes/pull/50072), [@squall0gd](https://github.com/squall0gd))
    * [Huge pages](https://www.kernel.org/doc/Documentation/vm/hugetlbpage.txt) can now be used with empty dir volume plugin.

    * Add hugepages monitoring support
    * Fix incorrect CPU usage metrics with 4.7 kernel
    * Add tmpfs monitoring support
* Support for Huge pages in empty_dir volume plugin ([#50072](https://github.com/kubernetes/kubernetes/pull/50072), [@squall0gd](https://github.com/squall0gd))
    * [Huge pages](https://www.kernel.org/doc/Documentation/vm/hugetlbpage.txt) can now be used with empty dir volume plugin.

### Create a backup job

#### Backup Virtual Machines with Veeam Backup and Replication

- Under Home > Jobs > Backup in Navigation Pane, click on Backup Job button in the ribbon and choose Virtual Machine. Follow the on screen wizard.

- On the Storage screen, choose the Scale-out Backup Repository that was configured previously.