issue_comments: 614845657

The syntax for explicitly creating a table looks like this: python db["cats"].create({ "id": int, "name": str, "weight": float, }, pk="id") So using a dictionary of column name -> Python type here would be good.

I think it becomes a new optional argument to .insert_all() and .insert() and .upsert_all() and .upsert(). Question is, what should that argument be called?

Options:

• columns
• types
• type_overrides
• extra_columns

I like the first two best. I'm leaning towards columns - it would serve two purposes: you can use it to ensure extra columns are created, and you can use it to specify the type on extra OR deteced columns.

Maybe something like this:

python db["authors"].insert_all( [{"id": 1, "name": "Sally", "score": "2"}], pk="id", not_null={"name", "score"}, defaults={"score": 1}, columns={"score": int, "weight": float} )