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 1363766973,I_kwDOCGYnMM5RSW69,484,Expose convert recipes to `sqlite-utils --functions`,9599,open,0,,,11,2022-09-06T20:15:08Z,2022-09-07T19:09:52Z,,OWNER,,"`--functions` was added in: - #471 It would be useful if the `r.jsonsplit()` and similar recipes for `sqlite-utils convert` could be used in these blocks of code too: https://sqlite-utils.datasette.io/en/stable/cli.html#sqlite-utils-convert-recipes",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/484/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1246826792,I_kwDODLZ_YM5KUREo,10,"When running `auth` command, don't overwrite an existing auth.json file",11887,closed,0,,,3,2022-05-24T16:42:20Z,2022-09-07T15:07:38Z,2022-08-22T16:17:19Z,NONE,,"Ran the `auth` command in the same directory I'd previously set up an auth.json file for `twitter-to-sqlite` and it was completely overwritten. Not the biggest issue, but still unexpected. Ideally, for me, the keys would just be added to the existing file, but getting a warning and a chance to back out would be a good solution as well.",213286752,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/pocket-to-sqlite/issues/10/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 1353441389,I_kwDOCGYnMM5Qq-Bt,477,Conda Forge,49702524,closed,0,,,2,2022-08-28T19:03:08Z,2022-09-07T03:46:55Z,2022-09-07T03:46:55Z,NONE,,"Hello! I have successfully put this package on to Conda Forge, and I have extending the invitation for the owner/maintainers of this package to be maintainers on Conda Forge as well. Let me know if you are interested! Thanks. https://github.com/conda-forge/sqlite-utils-feedstock",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/477/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 1352932716,I_kwDOCGYnMM5QpB1s,471,sqlite-utils query --functions mechanism for registering extra functions,9599,closed,0,,8355157,12,2022-08-27T03:57:53Z,2022-09-07T03:46:26Z,2022-08-27T05:10:57Z,OWNER,,"It would be really cool if you could register additional custom SQL functions for use with the `sqlite-utils query` command - something like this: ``` sqlite-utils data.db 'update images set domain = extract_domain(url)' --functions ' from urllib.parse import urlparse def extract_domain(url): return urlparse(url).netloc ' ``` Every function defined in that code block would be registered with the connection, unless the name began with an underscore.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/471/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 507454958,MDU6SXNzdWU1MDc0NTQ5NTg=,596,Handle really wide tables better,9599,open,0,,,9,2019-10-15T20:05:46Z,2022-09-07T00:58:41Z,,OWNER,,"If a table has hundreds of columns the Datasette UI starts getting unwieldy. Addressing this would be neat. One option would be to only select the first 30 columns by default and provide a UI for selecting more.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/596/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1363440999,I_kwDOBm6k_c5RRHVn,1804,Ability to set a custom facet_size per table,9599,closed,0,,,6,2022-09-06T15:11:40Z,2022-09-07T00:21:56Z,2022-09-06T18:06:53Z,OWNER,,"Suggestion from Discord: https://discord.com/channels/823971286308356157/823971286941302908/1016725586351247430 > Is it possible to limit the facet size per database or even per table? This is a really good idea, it could be done in `metadata.yml`.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1804/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed