github
id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | pull_request | body | repo | type | active_lock_reason | performed_via_github_app | reactions | draft | state_reason |
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777333388 | MDU6SXNzdWU3NzczMzMzODg= | 1168 | Mechanism for storing metadata in _metadata tables | 9599 | open | 0 | 21 | 2021-01-01T18:47:27Z | 2023-09-28T18:29:05Z | OWNER | _Original title: Perhaps metadata should all live in a `_metadata` in-memory database_ Inspired by #1150 - metadata should be exposed as an API, and for large Datasette instances that API may need to be paginated. So why not expose it through an in-memory database table? One catch to this: plugins. #860 aims to add a plugin hook for metadata. But if the metadata comes from an in-memory table, how do the plugins interact with it? The need to paginate over metadata does make a plugin hook that returns metadata for an individual table seem less wise, since we don't want to have to do 10,000 plugin hook invocations to show a list of all metadata. If those plugins write directly to the in-memory table how can their contributions survive the server restarting? | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1168/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1243498298 | I_kwDOBm6k_c5KHkc6 | 1746 | Switch documentation theme to Furo | 9599 | closed | 0 | 21 | 2022-05-20T18:42:17Z | 2022-05-20T21:28:29Z | 2022-05-20T21:28:29Z | OWNER | https://github.com/pradyunsg/furo I just did this for `shot-scraper` and I really like it: https://shot-scraper.datasette.io/en/latest/ - https://github.com/simonw/shot-scraper/issues/77 | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1746/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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657572753 | MDU6SXNzdWU2NTc1NzI3NTM= | 894 | ?sort=colname~numeric to sort by by column cast to real | 9599 | open | 0 | 21 | 2020-07-15T18:47:48Z | 2021-08-20T02:07:53Z | OWNER | If a text column actually contains numbers, being able to "sort by column, treated as numeric" would be really useful. Probably depends on column actions enabled by #690 | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/894/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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470345929 | MDU6SXNzdWU0NzAzNDU5Mjk= | 42 | table.extract(...) method and "sqlite-utils extract" command | 9599 | closed | 0 | 5897911 | 21 | 2019-07-19T14:09:36Z | 2020-09-22T23:39:31Z | 2020-09-22T23:37:49Z | OWNER | One of my favourite features of [csvs-to-sqlite](https://github.com/simonw/csvs-to-sqlite) is that it can "extract" columns into a separate lookup table - for example: csvs-to-sqlite big_csv_file.csv -c country output.db This will turn the `country` column in the resulting table into a integer foreign key against a new `country` table. You can see an example of what that looks like here: https://san-francisco.datasettes.com/registered-business-locations-3d50679/Business+Corridor was extracted from https://san-francisco.datasettes.com/registered-business-locations-3d50679/Registered_Business_Locations_-_San_Francisco?Business%20Corridor=1 I'd like to have the same capability in `sqlite-utils` - but with the ability to run it against an existing SQLite table rather than just against a CSV. | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/42/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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