issue_comments: 1111706519
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| 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/datasette/issues/1728#issuecomment-1111706519 | https://api.github.com/repos/simonw/datasette/issues/1728 | 1111706519 | IC_kwDOBm6k_c5CQ0uX | 9599 | 2022-04-28T03:34:49Z | 2022-04-28T03:34:49Z | OWNER | I've wanted to do stuff like that on Cloud Run too. So far I've assumed that it's not feasible, but recently I've been wondering how hard it would be to have a small (like less than 100KB or so) Datasette instance which persists data to a backing GitHub repository such that when it starts up it can pull the latest copy and any time someone edits it can push their changes. I'm still not sure it would work well on Cloud Run due to the uncertainty at what would happen if Cloud Run decided to boot up a second instance - but it's still an interesting thought exercise. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 1218133366 |