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1. 243f6a8885a308d313198a2e037

   added

   featureNew feature or requestNew feature or request

   on Nov 20, 2022
2. bkanuka commented on Feb 19, 2023

   

   bkanuka

   on Feb 19, 2023

   More actions

   I used this idea to extend / monkeypatch SQLModel to work with STRUCT and ARRAY from BigQuery:

   # Monkeypatch sqlmodel.main.get_sqlalchemy_type to work with BigQuery's STRUCT and ARRAY types:
   
   from typing import Any, Callable, List
   
   import sqlalchemy.sql
   import sqlmodel.main
   from sqlmodel.main import get_sqlachemy_type as original_get_sqlalchemy_type
   from pydantic import BaseModel, ConstrainedStr
   from pydantic.fields import ModelField
   from sqlalchemy import String
   from sqlalchemy_bigquery import STRUCT, ARRAY
   from typing_extensions import TypeAlias
   
   _GetSqlalchemyTypeProtocol: TypeAlias = Callable[[ModelField], Any]
   
   
   def extended_get_sqlalchemy_type(field: ModelField) -> Any:
       # Add support for STRUCT
       if issubclass(field.type_, BaseModel):
           return STRUCT(
               *((f.name, extended_get_sqlalchemy_type(f)) for f in field.type_.__fields__.values())
           )
   
       # Add support for ARRAY
       if issubclass(field.type_, List):
           if field.sub_fields:
               return ARRAY(extended_get_sqlalchemy_type(field.sub_fields[0]))
           return ARRAY()
   
       # Add support for ConstrainedStr
       if issubclass(field.type_, ConstrainedStr):
           length = field.type_.max_length
           if length is not None:
               return String(length=length)
           return String()
   
       return original_get_sqlalchemy_type(field)
   
   
   def patch_sqlmodel() -> None:
       sqlmodel.main.get_sqlachemy_type = extended_get_sqlalchemy_type
   
   patch_sqlmodel()
   

   Now submodels can be used in SQLModel models and they get converted to STRUCT. e.g.:

   class Service(SQLModel):
       id: str = Field(description="The ID of the Google Cloud Platform service that offers the SKU.")
       description: str = Field(description="The Google Cloud Platform service that offers the SKU.")
   
   class ServiceTable(SQLModel, table=True):
       service: Service = Field()
   

   I generally try to avoid this kind of patching shenanigans but this has greatly simplified my models and completely gotten rid of the need for sa_column in my SQLModel models

   Reacted by 243f6a88 85a308d3
3. fbuccioni commented on Mar 31, 2026

   

   fbuccioni

   on Mar 31, 2026

   More actions

   I suggest to have a map that can be imported to modify and add type mappings between SQLModel and SQLAlchemy this also could solve #800

   I have done something similar but to add additional support for different types my use case is to support the different JSON types of pydantic.

   import sqlmodel.main
   from pydantic.types import Json as PydanticJson
   from pydantic import JsonValue as PydanticJsonValue
   from sqlalchemy.types import JSON
   
   # Exportable and modifiable
   TYPE_ANNOTATION_MAP = {
       PydanticJson: JSON,
       PydanticJsonValue: JSON
   }
   
   # Monkey patch for sqlmodel to support JSON type
   _gst = sqlmodel.main.get_sqlalchemy_type
   def get_sqlalchemy_type(field: Any) -> Any:
       try:
           return _gst(field)
       except Exception as exc:
           type_ = None
   
           if hasattr(field, 'type_'):
               type_ = field.type_
           elif field.annotation:
               type_ = field.annotation
   
               if (
                   get_origin(type_) is Union
                   and len(type_.__args__) == 2
                   and type(None) in type_.__args__
               ):
                   type_ = next(arg for arg in type_.__args__ if arg is not None)
   
               if get_origin(type_) is Annotated:
                   type_ = type(type_.__metadata__[0])
   
           if type_ in TYPE_ANNOTATION_MAP.keys():
               return TYPE_ANNOTATION_MAP[type_]
   
           raise exc
   sqlmodel.main.get_sqlalchemy_type = get_sqlalchemy_type

   The functionality in the first comment of this issue can be added by accept Callables also with SQLAlchemy types, for example

   from sqlmodel.main import TYPE_ANNOTATION_MAP
   
   TYPE_ANNOTATION_MAP.extend({
       PydanticJson: JSON,
       PydanticJsonValue: JSON,
       ConstrainedStr: lambda f: String(length=field.type_.max_length)
   })

   If you want I could do a PR with this.

   Cheers

   PS: I have to mention and thanks to ChatLPO that allows me to post this suggestions based on the work in the company.
4. fastapi

   locked and limited conversation to collaborators on May 18, 2026
5. tiangolo

   converted this issue into a discussion #1967 on May 18, 2026