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 |