html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,issue,performed_via_github_app
https://github.com/simonw/sqlite-utils/issues/399#issuecomment-1030741289,https://api.github.com/repos/simonw/sqlite-utils/issues/399,1030741289,IC_kwDOCGYnMM49b90p,25778,2022-02-06T03:03:43Z,2022-02-06T03:03:43Z,CONTRIBUTOR,"> I wonder if there are any interesting non-geospatial canned conversions that it would be worth including?

Off the top of my head:

- Un-nesting JSON objects into columns
- Splitting arrays
- Normalizing dates and times
- URL munging with `urlparse`
- Converting strings to numbers

Some of this is easy enough with SQL functions, some is easier in Python. Maybe that's where having pre-built classes gets really handy, because it saves you from thinking about which way it's implemented.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1124731464,