///

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

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.

///

В основе SQLModel лежит SQLAlchemy, поэтому вы спокойно можете использовать любую базу данных, поддерживаемую SQLAlchemy (и, соответственно, поддерживаемую SQLModel), например:

* PostgreSQL
* MySQL
* SQLite
* Oracle
* Microsoft SQL Server, и т.д.

* <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>, usw.

///

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.

///

Como SQLModel se basa en SQLAlchemy, puedes usar fácilmente **cualquier base de datos soportada** por SQLAlchemy (lo que las hace también soportadas por SQLModel), como:

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

En este ejemplo, usaremos **SQLite**, porque utiliza un solo archivo y Python tiene soporte integrado. Así que puedes copiar este ejemplo y ejecutarlo tal cual.

			Description:     "publish bucket notifications to NSQ endpoints",
			MultipleTargets: true,
		},
		config.HelpKV{
			Key:             config.NotifyMySQLSubSys,
			Description:     "publish bucket notifications to MySQL databases",
			MultipleTargets: true,
		},
		config.HelpKV{
			Key:             config.NotifyPostgresSubSys,
			Description:     "publish bucket notifications to Postgres databases",
			MultipleTargets: true,

* <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.

    <_comment>MySQL MISAM Compressed Index</_comment>
    <glob pattern="*.MYI"/>
    <magic priority="40">
      <match value="0xfefe06" type="string" offset="0"/>
      <match value="0xfefe07" type="string" offset="0"/>
    </magic>
    <sub-class-of type="application/x-mysql-db"/>
  </mime-type>
  <mime-type type="application/x-mysql-misam-data">
    <_comment>MySQL MISAM Data</_comment>