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internal/config/notify/help.go
Registered: Sun Dec 28 19:28:13 UTC 2025 - Last Modified: Fri Sep 06 23:06:30 UTC 2024 - 19.2K bytes - Viewed (0) -
docs/es/docs/deployment/docker.md
* <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.
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Tue Dec 16 16:33:45 UTC 2025 - 32K bytes - Viewed (0) -
docs/ru/docs/tutorial/sql-databases.md
/// Так как SQLModel основан на SQLAlchemy, вы можете легко использовать **любую поддерживаемую** SQLAlchemy базу данных (а значит, и поддерживаемую SQLModel), например: * PostgreSQL * MySQL * SQLite * Oracle * Microsoft SQL Server, и т.д.
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Thu Dec 11 21:25:03 UTC 2025 - 23.6K bytes - Viewed (0) -
docs/en/docs/tutorial/sql-databases.md
/// 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.
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Tue Dec 02 05:06:56 UTC 2025 - 15.8K bytes - Viewed (0) -
docs/de/docs/tutorial/sql-databases.md
/// Da SQLModel auf SQLAlchemy basiert, können Sie problemlos **jede von SQLAlchemy unterstützte Datenbank** verwenden (was auch bedeutet, dass sie von SQLModel unterstützt werden), wie: * PostgreSQL * MySQL * SQLite * Oracle * Microsoft SQL Server, usw.
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Tue Dec 02 17:32:56 UTC 2025 - 18.1K bytes - Viewed (0) -
docs/pt/docs/deployment/docker.md
* <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.
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Nov 12 16:23:57 UTC 2025 - 32.1K bytes - Viewed (0) -
internal/config/notify/parse.go
} 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, },
Registered: Sun Dec 28 19:28:13 UTC 2025 - Last Modified: Fri Aug 29 02:39:48 UTC 2025 - 47.5K bytes - Viewed (0) -
docs/ru/docs/alternatives.md
Это самый популярный Python-фреймворк, ему широко доверяют. Он используется для построения систем вроде Instagram. Он относительно тесно связан с реляционными базами данных (например, MySQL или PostgreSQL), поэтому использовать NoSQL-базу данных (например, Couchbase, MongoDB, Cassandra и т. п.) в качестве основного хранилища не очень просто.
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Sat Oct 11 17:48:49 UTC 2025 - 38.5K bytes - Viewed (0) -
cmd/config-current.go
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,
Registered: Sun Dec 28 19:28:13 UTC 2025 - Last Modified: Fri Aug 29 02:39:48 UTC 2025 - 28.5K bytes - Viewed (0) -
docs/es/docs/tutorial/sql-databases.md
/// 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.
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Tue Dec 16 16:33:45 UTC 2025 - 17K bytes - Viewed (0)