DataDesigner/docs/code_reference/config/column_configs.md

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# Column Configurations
Column configs declare Data Designer's built-in column types. Each configuration inherits from [SingleColumnConfig](#data_designer.config.base.SingleColumnConfig), which provides shared arguments like the column `name`, whether to `drop` the column after generation, and the `column_type`.
For column generator implementation classes, see [column_generators](../engine/column_generators.md).
!!! info "`column_type` is a discriminator field"
The `column_type` argument is used to identify column types when deserializing the [Data Designer Config](data_designer_config.md) from JSON/YAML. It acts as the discriminator in a [discriminated union](https://docs.pydantic.dev/latest/concepts/unions/#discriminated-unions), allowing Pydantic to automatically determine which column configuration class to instantiate.
## `SingleColumnConfig` {#data_designer.config.base.SingleColumnConfig}
::: data_designer.config.base.SingleColumnConfig
options:
show_root_toc_entry: false
## Column configurations
::: data_designer.config.column_configs