# Non-Standard Database Setups

Here we cover details about non-standard database setups that might impact how you use triggers.

## Multiple Databases

Triggers are migrated for multiple database just like models. If you define a custom router, triggers will be installed based on `allow_migrate`. See the [the Django docs on multiple databases](https://docs.djangoproject.com/en/4.1/topics/db/multi-db/) for more info.

!!! warning

      If you migrate triggers and afterwards change the behavior of the router's `allow_migrate`, you risk having orphaned triggers installed on tables.

The management commands and core installation functions work the same way, targetting an individual database like Django's `migrate` command. Each command can be supplied with a `-d` or `--database` option.

For example, `python manage.py pgtrigger install --database other` will install all of the triggers on the `other` database.

If `allow_migrate` ignores a particular model for a database, the installation status will show as `UNALLOWED` when using `python manage.py pgtrigger ls`.

!!! note

      If you've configured `settings.INSTALL_ON_MIGRATE`, triggers will be installed for the same database as the `migrate` command.

Dynamic runtime functions [pgtrigger.ignore][], [pgtrigger.schema][], and [pgtrigger.constraints][] operate on all postgres databases at once unless the `databases` argument is provided.

## Schemas

There are two common ways of using Postgres schemas in Django, both of which work with `django-pgtrigger`:

1. Create a database in `settings.DATABASES` for each schema, configuring the `search_path` in the `OPTIONS`.
2. Use an app like [django-tenants](https://github.com/django-tenants/django-tenants) to dynamically set the `search_path` for a single database.

When using the first approach, use the multi-database support detailed in the previous section. For the second approach, `django-pgtrigger` comes with the following functionality to dynamically set the `search_path`:

1. Pass `--schema` (`-s`) arguments for management commands. For example, this sets `search_path` to `myschema,public` and shows trigger installation status relative to those schemas:

      ```
      python manage.py pgtrigger ls -s my_schema -s public
      ```

2. Programmatically set the search path with [pgtrigger.schema][]. For example, this sets the `search_path` to `myschema,public`:

     ```python
     with pgtrigger.schema("myschema", "public"):
         # seach_path is set to "myschema,public". Any nested invocations of
         # pgtrigger.schema will append to the path if not currently
         # present
     ```

!!! note

      If you find yourself wrapping the `django-pgtrigger` API with [pgtrigger.schema][], open an issue and let us know about your use case. We may consider making it a first-class citizen in the API if it's common.

The final thing to keep in mind with multi-schema support is that [pgtrigger.ignore][] uses a special Postgres function for ignoring triggers that's installed under the public schema. The function is always referenced with a fully-qualified name.

If you don't use the public schema, configure the schema with `settings.PGTRIGGER_SCHEMA`. Setting this to `None` uses a relative path when installing and calling the function.

## Partitions

`django-pgtrigger` supports tables that use [Postgres table partitioning](https://www.postgresql.org/docs/current/ddl-partitioning.html) with no additional configuration.

!!! note

      Row-level triggers are only available for partitioned tables in Postgres 13 and above. Triggers cannot be installed or uninstalled on a per-partition basis. Installing a trigger on a partitioned table installs it for all partitions.