id,node_id,number,title,user,user_label,state,locked,assignee,assignee_label,milestone,milestone_label,comments,created_at,updated_at,closed_at,author_association,pull_request,body,repo,repo_label,type,active_lock_reason,performed_via_github_app,reactions,draft,state_reason
589801352,MDExOlB1bGxSZXF1ZXN0Mzk1MjU4Njg3,96,Add type conversion for Panda's Timestamp,32605365,b0b5h4rp13,closed,0,,,,,2,2020-03-29T14:13:09Z,2020-03-31T04:40:49Z,2020-03-31T04:40:48Z,CONTRIBUTOR,simonw/sqlite-utils/pulls/96,"Add type conversion for Panda's Timestamp, if Panda library is present in system
(thanks for this project, I was about to do the same thing from scratch)",140912432,sqlite-utils,pull,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/96/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0,
610517472,MDU6SXNzdWU2MTA1MTc0NzI=,103,sqlite3.OperationalError: too many SQL variables in insert_all when using rows with varying numbers of columns,32605365,b0b5h4rp13,closed,0,,,,,8,2020-05-01T02:26:14Z,2020-05-14T00:18:57Z,2020-05-14T00:18:57Z,CONTRIBUTOR,,"If using insert_all to put in 1000 rows of data with varying number of columns, it comes up with this message `sqlite3.OperationalError: too many SQL variables` if the number of columns is larger in later records (past the first row)

I've reduced `SQLITE_MAX_VARS` by 100 to 899 at the top of `db.py` to add wiggle room, so that if the column count increases it wont go past SQLite's batch limit as calculated by this line of code based on the count of the first row's dict keys

        batch_size = max(1, min(batch_size, SQLITE_MAX_VARS // num_columns))",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/103/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed