### Создание моделей { #create-models }

Импортируйте `SQLModel` и создайте модель базы данных:

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

Класс `Hero` очень похож на модель Pydantic (фактически, под капотом, это и есть модель Pydantic).

Есть несколько отличий:

				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z *BatchJobExpire) Msgsize() (s int) {
	s = 1 + 11 + msgp.StringPrefixSize + len(z.APIVersion) + 7 + msgp.StringPrefixSize + len(z.Bucket) + 7 + z.Prefix.Msgsize() + 16 + z.NotificationCfg.Msgsize() + 6 + z.Retry.Msgsize() + 6 + msgp.ArrayHeaderSize
	for za0001 := range z.Rules {

### Create Models { #create-models }

Import `SQLModel` and create a database model:

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

The `Hero` class is very similar to a Pydantic model (in fact, underneath, it actually *is a Pydantic model*).

There are a few differences:

### Modelle erstellen { #create-models }

Importieren Sie `SQLModel` und erstellen Sie ein Datenbankmodell:

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

Die `Hero`-Klasse ist einem Pydantic-Modell sehr ähnlich (faktisch ist sie darunter tatsächlich *ein Pydantic-Modell*).

Es gibt ein paar Unterschiede:

        }
        
        // Wait for all reconnections
        CompletableFuture.allOf(futures.toArray(new CompletableFuture[0])).join();
    }
}
```

## 11. Monitoring and Metrics

### 11.1 Handle Statistics
```java
public class HandleStatistics {
    private final AtomicLong handlesRequested = new AtomicLong();
    private final AtomicLong handlesGranted = new AtomicLong();

- github.com/opencontainers/runtime-spec: [v1.2.0 → v1.2.1](https://github.com/opencontainers/runtime-spec/compare/v1.2.0...v1.2.1)
- github.com/opencontainers/selinux: [v1.11.1 → v1.13.0](https://github.com/opencontainers/selinux/compare/v1.11.1...v1.13.0)
- github.com/prometheus/client_golang: [v1.22.0 → v1.23.2](https://github.com/prometheus/client_golang/compare/v1.22.0...v1.23.2)

### Crear Modelos { #create-models }

Importa `SQLModel` y crea un modelo de base de datos:

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

La clase `Hero` es muy similar a un modelo de Pydantic (de hecho, en el fondo, realmente *es un modelo de Pydantic*).

Hay algunas diferencias:

				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z BatchJobSizeFilter) Msgsize() (s int) {
	s = 1 + 11 + msgp.Int64Size + 11 + msgp.Int64Size
	return
}

// DecodeMsg implements msgp.Decodable
func (z *BatchJobSnowball) DecodeMsg(dc *msgp.Reader) (err error) {
	var field []byte
	_ = field
	var zb0001 uint32

pkg debug/dwarf, const AttrSmall = 93
pkg debug/dwarf, const AttrSmall Attr
pkg debug/dwarf, const AttrStrOffsetsBase = 114
pkg debug/dwarf, const AttrStrOffsetsBase Attr
pkg debug/dwarf, const AttrStringLengthBitSize = 111
pkg debug/dwarf, const AttrStringLengthBitSize Attr
pkg debug/dwarf, const AttrStringLengthByteSize = 112
pkg debug/dwarf, const AttrStringLengthByteSize Attr
pkg debug/dwarf, const AttrThreadsScaled = 98

- github.com/sirupsen/logrus: [v1.7.0 → v1.8.1](https://github.com/sirupsen/logrus/compare/v1.7.0...v1.8.1)
- google.golang.org/protobuf: v1.25.0 → v1.26.0

### Removed
- github.com/willf/bitset: [v1.1.11](https://github.com/willf/bitset/tree/v1.1.11)



# v1.21.4


## Downloads for v1.21.4

### Source Code

filename | sha512 hash
-------- | -----------