issue_comments: 1030741289

This data as json

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