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ormar/docs/fields.md

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# Fields
There are 12 basic model field types and a special `ForeignKey` and `Many2Many` fields to establish relationships between models.
!!!tip
For explanation of `ForeignKey` and `Many2Many` fields check [relations][relations].
Each of the `Fields` has assigned both `sqlalchemy` column class and python type that is used to create `pydantic` model.
## Common Parameters
All `Field` types have a set of common parameters.
### primary_key
`primary_key`: `bool` = `False` -> by default False.
Sets the primary key column on a table, foreign keys always refer to the pk of the `Model`.
Used in sql only.
### autoincrement
`autoincrement`: `bool` = `primary_key and type == int` -> defaults to True if column is a primary key and of type Integer, otherwise False.
Can be only used with int/bigint fields.
If a field has autoincrement it becomes optional.
Used both in sql and pydantic (changes pk field to optional for autoincrement).
### nullable
`nullable`: `bool` = `not primary_key` -> defaults to False for primary key column, and True for all other.
Specifies if field is optional or required, used both with sql and pydantic.
!!!note
By default all `ForeignKeys` are also nullable, meaning the related `Model` is not required.
If you change the `ForeignKey` column to `nullable=False`, it becomes required.
!!!info
If you want to know more about how you can preload related models during queries and how the relations work read the [queries][queries] and [relations][relations] sections.
### default
`default`: `Any` = `None` -> defaults to None.
A default value used if no other value is passed.
In sql invoked on an insert, used during pydantic model definition.
If the field has a default value it becomes optional.
You can pass a static value or a Callable (function etc.)
Used both in sql and pydantic.
### server default
`server_default`: `Any` = `None` -> defaults to None.
A default value used if no other value is passed.
In sql invoked on the server side so you can pass i.e. sql function (like now() or query/value wrapped in sqlalchemy text() clause).
If the field has a server_default value it becomes optional.
You can pass a static value or a Callable (function etc.)
Used in sql only.
Sample usage:
```Python hl_lines="19-21"
--8<-- "../docs_src/fields/docs004.py"
```
!!!warning
`server_default` accepts `str`, `sqlalchemy.sql.elements.ClauseElement` or `sqlalchemy.sql.elements.TextClause`
so if you want to set i.e. Integer value you need to wrap it in `sqlalchemy.text()` function like above
!!!tip
You can pass also valid sql (dialect specific) wrapped in `sqlalchemy.text()`
For example `func.now()` above could be exchanged for `text('(CURRENT_TIMESTAMP)')` for sqlite backend
!!!info
`server_default` is passed straight to sqlalchemy table definition so you can read more in [server default][server default] sqlalchemy documentation
### index
`index`: `bool` = `False` -> by default False,
Sets the index on a table's column.
Used in sql only.
### unique
`unique`: `bool` = `False`
Sets the unique constraint on a table's column.
Used in sql only.
### pydantic_only
`pydantic_only`: `bool` = `False`
Prevents creation of a sql column for given field.
Used for data related to given model but not to be stored in the database.
Used in pydantic only.
### choices
`choices`: `Sequence` = `[]`
A set of choices allowed to be used for given field.
Used for data validation on pydantic side.
Prevents insertion of value not present in the choices list.
Used in pydantic only.
## Fields Types
### String
`String(max_length,
allow_blank: bool = True,
strip_whitespace: bool = False,
min_length: int = None,
max_length: int = None,
curtail_length: int = None,
regex: str = None,)` has a required `max_length` parameter.
* Sqlalchemy column: `sqlalchemy.String`
* Type (used for pydantic): `str`
!!!tip
For explanation of other parameters check [pydantic][pydantic] documentation.
### Text
`Text(allow_blank: bool = True, strip_whitespace: bool = False)` has no required parameters.
* Sqlalchemy column: `sqlalchemy.Text`
* Type (used for pydantic): `str`
!!!tip
For explanation of other parameters check [pydantic][pydantic] documentation.
### Boolean
`Boolean()` has no required parameters.
* Sqlalchemy column: `sqlalchemy.Boolean`
* Type (used for pydantic): `bool`
### Integer
`Integer(minimum: int = None,
maximum: int = None,
multiple_of: int = None)` has no required parameters.
* Sqlalchemy column: `sqlalchemy.Integer`
* Type (used for pydantic): `int`
!!!tip
For explanation of other parameters check [pydantic][pydantic] documentation.
### BigInteger
`BigInteger(minimum: int = None,
maximum: int = None,
multiple_of: int = None)` has no required parameters.
* Sqlalchemy column: `sqlalchemy.BigInteger`
* Type (used for pydantic): `int`
!!!tip
For explanation of other parameters check [pydantic][pydantic] documentation.
### Float
`Float(minimum: float = None,
maximum: float = None,
multiple_of: int = None)` has no required parameters.
* Sqlalchemy column: `sqlalchemy.Float`
* Type (used for pydantic): `float`
!!!tip
For explanation of other parameters check [pydantic][pydantic] documentation.
### Decimal
`Decimal(minimum: float = None,
maximum: float = None,
multiple_of: int = None,
precision: int = None,
scale: int = None,
max_digits: int = None,
decimal_places: int = None)` has no required parameters
You can use either `length` and `precision` parameters or `max_digits` and `decimal_places`.
* Sqlalchemy column: `sqlalchemy.DECIMAL`
* Type (used for pydantic): `decimal.Decimal`
!!!tip
For explanation of other parameters check [pydantic][pydantic] documentation.
### Date
`Date()` has no required parameters.
* Sqlalchemy column: `sqlalchemy.Date`
* Type (used for pydantic): `datetime.date`
### Time
`Time()` has no required parameters.
* Sqlalchemy column: `sqlalchemy.Time`
* Type (used for pydantic): `datetime.time`
### DateTime
`DateTime()` has no required parameters.
* Sqlalchemy column: `sqlalchemy.DateTime`
* Type (used for pydantic): `datetime.datetime`
### JSON
`JSON()` has no required parameters.
* Sqlalchemy column: `sqlalchemy.JSON`
* Type (used for pydantic): `pydantic.Json`
### UUID
`UUID()` has no required parameters.
* Sqlalchemy column: `ormar.UUID` based on `sqlalchemy.CHAR` field
* Type (used for pydantic): `uuid.UUID`
[relations]: ./relations.md
[queries]: ./queries.md
[pydantic]: https://pydantic-docs.helpmanual.io/usage/types/#constrained-types
[server default]: https://docs.sqlalchemy.org/en/13/core/defaults.html#server-invoked-ddl-explicit-default-expressions