Specifying SQL Server column data type, similar to dtype in pd.to_sql() #319
Description
First Check
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- I already checked if it is not related to SQLModel but to SQLAlchemy.
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Example Code
from typing import Optional
from sqlmodel import Field, SQLModel
from sqlalchemy.typing import NVARCHAR
class Hero(SQLModel, table=True):
id: str = Field(default=None, primary_key=True, dtype=NVARCHAR(32))
name: str
secret_name: str
age: Optional[int] = NoneDescription
Create a SQLModel that contains a mapping between python type (e.g str) and SQL Server column type (e.g NVARCHAR(32)). This is possible to do when using pandas to_sql() by specifying the dtype-argument.
Operating System
Linux, Windows
Operating System Details
No response
SQLModel Version
0.0.6
Python Version
Python 3.9.7
Additional Context
No response