id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,pull_request,body,repo,type,active_lock_reason,performed_via_github_app,reactions,draft,state_reason
686978131,MDU6SXNzdWU2ODY5NzgxMzE=,139,"insert_all(..., alter=True) should work for new columns introduced after the first 100 records",96218,closed,0,,,7,2020-08-27T06:25:25Z,2020-08-28T22:48:51Z,2020-08-28T22:30:14Z,CONTRIBUTOR,,"Is there a way to make `.insert_all()` work properly when new columns are introduced outside the first 100 records (with or without the `alter=True` argument)?

I'm using `.insert_all()` to bulk insert ~3-4k records at a time and it is common for records to need to introduce new columns.  However, if new columns are introduced after the first 100 records, `sqlite_utils` doesn't even raise the `OperationalError: table ... has no column named ...` exception; it just silently drops the extra data and moves on.

It took me a while to find this little snippet in the [documentation for `.insert_all()`](https://sqlite-utils.readthedocs.io/en/stable/python-api.html#bulk-inserts) (it's not mentioned under [Adding columns automatically on insert/update](https://sqlite-utils.readthedocs.io/en/stable/python-api.html#bulk-inserts)):

> The column types used in the CREATE TABLE statement are automatically derived from the types of data in that first batch of rows. **_Any additional or missing columns in subsequent batches will be ignored._**

I tried changing the `batch_size` argument to the total number of records, but it seems only to effect the number of rows that are committed at a time, and has no influence on this problem.

Is there a way around this that you would suggest?  It seems like it should raise an exception at least.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/139/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed