issue_comments: 882138084
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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/123#issuecomment-882138084 | https://api.github.com/repos/simonw/datasette/issues/123 | 882138084 | IC_kwDOBm6k_c40lFvk | 9599 | 2021-07-19T00:04:31Z | 2021-07-19T00:04:31Z | OWNER | I've been thinking more about this one today too. An extension of this (touched on in #417, Datasette Library) would be to support pointing Datasette at a directory and having it automatically load any CSV files it finds anywhere in that folder or its descendants - either loading them fully, or providing a UI that allows users to select a file to open it in Datasette. For larger files I think the right thing to do is import them into an on-disk SQLite database, which is limited only by available disk space. For smaller files loading them into an in-memory database should work fine. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 275125561 |