github
html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
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https://github.com/simonw/datasette/issues/1613#issuecomment-1022381732 | https://api.github.com/repos/simonw/datasette/issues/1613 | 1022381732 | IC_kwDOBm6k_c488E6k | 9599 | 2022-01-26T16:41:45Z | 2022-01-26T16:41:45Z | OWNER | A better interface for modifying the columns used in the SELECT clause would be useful too. | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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https://github.com/simonw/datasette/issues/1613#issuecomment-1022255862 | https://api.github.com/repos/simonw/datasette/issues/1613 | 1022255862 | IC_kwDOBm6k_c487mL2 | 9599 | 2022-01-26T14:35:31Z | 2022-01-26T14:37:44Z | OWNER | Joins are really hard. A mechanism for constructing them in the table view would help a lot: - https://github.com/simonw/datasette/issues/613 | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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https://github.com/simonw/datasette/issues/1613#issuecomment-1022254258 | https://api.github.com/repos/simonw/datasette/issues/1613 | 1022254258 | IC_kwDOBm6k_c487lyy | 9599 | 2022-01-26T14:33:46Z | 2022-01-26T14:37:31Z | OWNER | Tool for setting up foreign key relationships. It could even verify the relationship before you apply it - checking that every value in the column does indeed correspond to a value in the other table. Could also detect and suggest possible ones. | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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https://github.com/simonw/datasette/issues/1613#issuecomment-1022257496 | https://api.github.com/repos/simonw/datasette/issues/1613 | 1022257496 | IC_kwDOBm6k_c487mlY | 9599 | 2022-01-26T14:37:14Z | 2022-01-26T14:37:14Z | OWNER | Better contextual help on the SQL editor - like in Django SQL Dashboard which shows all available tables and columns. Fancy inline autocomplete would be great too, but that's pretty hard for SQL based on past research. | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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