html_url,issue_url,id,node_id,user,user_label,created_at,updated_at,author_association,body,reactions,issue,issue_label,performed_via_github_app
https://github.com/simonw/sqlite-utils/issues/100#issuecomment-615372322,https://api.github.com/repos/simonw/sqlite-utils/issues/100,615372322,MDEyOklzc3VlQ29tbWVudDYxNTM3MjMyMg==,9599,simonw,2020-04-17T17:31:42Z,2020-04-17T17:31:42Z,OWNER,"I'm going with `columns={""score"": int}`","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",601358649,"Mechanism for forcing column-type, over-riding auto-detection",
https://github.com/simonw/sqlite-utils/issues/100#issuecomment-614846059,https://api.github.com/repos/simonw/sqlite-utils/issues/100,614846059,MDEyOklzc3VlQ29tbWVudDYxNDg0NjA1OQ==,9599,simonw,2020-04-16T19:17:56Z,2020-04-16T19:17:56Z,OWNER,"Reminder: the current list of arguments for those methods is:
https://github.com/simonw/sqlite-utils/blob/13528faa817d79bc3900d3af7473300686b145d7/sqlite_utils/db.py#L951-L967","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",601358649,"Mechanism for forcing column-type, over-riding auto-detection",
https://github.com/simonw/sqlite-utils/issues/100#issuecomment-614845657,https://api.github.com/repos/simonw/sqlite-utils/issues/100,614845657,MDEyOklzc3VlQ29tbWVudDYxNDg0NTY1Nw==,9599,simonw,2020-04-16T19:17:05Z,2020-04-16T19:17:05Z,OWNER,"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}
)
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",601358649,"Mechanism for forcing column-type, over-riding auto-detection",