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
471818939,MDU6SXNzdWU0NzE4MTg5Mzk=,48,"Jupyter notebook demo of the library, launchable on Binder",9599,simonw,closed,0,,,,,2,2019-07-23T17:05:05Z,2022-01-26T02:08:46Z,2022-01-26T02:08:39Z,OWNER,,,140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/48/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed
471780443,MDU6SXNzdWU0NzE3ODA0NDM=,46,extracts= option for insert/update/etc,9599,simonw,closed,0,,,,,3,2019-07-23T15:55:46Z,2020-03-01T16:53:40Z,2019-07-23T17:00:44Z,OWNER,,"Relates to #42 and #44. I want the ability to extract values out into lookup tables during bulk insert/upsert operations.

`db.insert_all(rows, extracts=[""species""])`

- creates species table for values in the species column

`db.insert_all(rows, extracts={""species"": ""Species""})`

- as above but the new table is called `Species`.",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/46/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed
471797101,MDExOlB1bGxSZXF1ZXN0MzAwMzc3NTk5,47,extracts= table parameter,9599,simonw,closed,0,,,,,0,2019-07-23T16:30:29Z,2019-07-23T17:00:43Z,2019-07-23T17:00:43Z,OWNER,simonw/sqlite-utils/pulls/47,Still needs docs. Refs #46,140912432,sqlite-utils,pull,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/47/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0,
471628483,MDU6SXNzdWU0NzE2Mjg0ODM=,44,Utilities for building lookup tables,9599,simonw,closed,0,,,,,2,2019-07-23T10:59:58Z,2019-07-23T13:07:01Z,2019-07-23T13:07:01Z,OWNER,,"While building https://github.com/dogsheep/healthkit-to-sqlite I found a need for a neat mechanism for easily building lookup tables - tables where each unique value in a column is replaced by a foreign key to a separate table.

csvs-to-sqlite currently creates those with its ""extract"" mechanism - but that's written as custom code against Pandas. I'd like to eventually replace Pandas with sqlite-utils there.

See also #42 ",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/44/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed
471684708,MDExOlB1bGxSZXF1ZXN0MzAwMjg2NTM1,45,"Implemented table.lookup(...), closes #44",9599,simonw,closed,0,,,,,0,2019-07-23T13:03:30Z,2019-07-23T13:07:00Z,2019-07-23T13:07:00Z,OWNER,simonw/sqlite-utils/pulls/45,,140912432,sqlite-utils,pull,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/45/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0,