///

Como o SQLModel é baseado no SQLAlchemy, você pode facilmente usar **qualquer banco de dados suportado** pelo SQLAlchemy (o que também os torna suportados pelo SQLModel), como:

* PostgreSQL
* MySQL
* SQLite
* Oracle
* Microsoft SQL Server, etc.

Neste exemplo, usaremos **SQLite**, porque ele usa um único arquivo e o Python tem suporte integrado. Assim, você pode copiar este exemplo e executá-lo como está.

notify_nats           publish bucket notifications to NATS endpoints
notify_nsq            publish bucket notifications to NSQ endpoints
notify_mysql          publish bucket notifications to MySQL databases
notify_postgres       publish bucket notifications to Postgres databases
notify_elasticsearch  publish bucket notifications to Elasticsearch endpoints
notify_redis          publish bucket notifications to Redis datastores

* <a href="https://hub.docker.com/_/postgres" class="external-link" target="_blank">PostgreSQL</a>
* <a href="https://hub.docker.com/_/mysql" class="external-link" target="_blank">MySQL</a>
* <a href="https://hub.docker.com/_/mongo" class="external-link" target="_blank">MongoDB</a>
* <a href="https://hub.docker.com/_/redis" class="external-link" target="_blank">Redis</a>, etc.

			Optional:    true,
			Type:        "number",
		},
	}

	HelpMySQL = config.HelpKVS{
		config.HelpKV{
			Key:         target.MySQLDSNString,
			Description: `MySQL data-source-name connection string e.g. "<user>:<password>@tcp(<host>:<port>)/<database>"`,
			Optional:    true,
			Type:        "string",
			Sensitive:   true,
		},
		config.HelpKV{

Также там представлены и другие полезные образы, такие как базы данных:

* <a href="https://hub.docker.com/_/postgres" class="external-link" target="_blank">PostgreSQL</a>
* <a href="https://hub.docker.com/_/mysql" class="external-link" target="_blank">MySQL</a>
* <a href="https://hub.docker.com/_/mongo" class="external-link" target="_blank">MongoDB</a>
* <a href="https://hub.docker.com/_/redis" class="external-link" target="_blank">Redis</a>

и т.п.

		}

		if err = mqttArgs.Validate(); err != nil {
			return nil, err
		}
		mqttTargets[k] = mqttArgs
	}
	return mqttTargets, nil
}

// DefaultMySQLKVS - default KV for MySQL
var (
	DefaultMySQLKVS = config.KVS{
		config.KV{
			Key:   config.Enable,
			Value: config.EnableOff,
		},
		config.KV{
			Key:   target.MySQLFormat,
			Value: formatNamespace,
		},

* <a href="https://hub.docker.com/_/postgres" class="external-link" target="_blank">PostgreSQL</a>
* <a href="https://hub.docker.com/_/mysql" class="external-link" target="_blank">MySQL</a>
* <a href="https://hub.docker.com/_/mongo" class="external-link" target="_blank">MongoDB</a>
* <a href="https://hub.docker.com/_/redis" class="external-link" target="_blank">Redis</a>, etc.

  // More info: https://examples.k8s.io/mysql-cinder-pd/README.md
  optional string volumeID = 1;

  // fsType Filesystem type to mount.
  // Must be a filesystem type supported by the host operating system.
  // Examples: "ext4", "xfs", "ntfs". Implicitly inferred to be "ext4" if unspecified.
  // More info: https://examples.k8s.io/mysql-cinder-pd/README.md
  // +optional
  optional string fsType = 2;

///

As SQLModel is based on SQLAlchemy, you can easily use **any database supported** by SQLAlchemy (which makes them also supported by SQLModel), like:

* PostgreSQL
* MySQL
* SQLite
* Oracle
* Microsoft SQL Server, etc.

In this example, we'll use **SQLite**, because it uses a single file and Python has integrated support. So, you can copy this example and run it as is.

Django geniş çapta güvenilen, Python ekosistemindeki en popüler web framework'üdür. Instagram gibi sistemleri geliştirmede kullanılmıştır.

MySQL ve PostgreSQL gibi ilişkisel veritabanlarıyla nispeten sıkı bir şekilde bağlantılıdır. Bu nedenle Couchbase, MongoDB ve Cassandra gibi NoSQL veritabanlarını ana veritabanı motoru olarak kullanmak pek de kolay değil.