html_url,issue_url,id,node_id,user,user_label,created_at,updated_at,author_association,body,reactions,issue,issue_label,performed_via_github_app
https://github.com/simonw/datasette/issues/1696#issuecomment-1407767434,https://api.github.com/repos/simonw/datasette/issues/1696,1407767434,IC_kwDOBm6k_c5T6NOK,193185,cldellow,2023-01-29T20:56:20Z,2023-01-29T20:56:20Z,CONTRIBUTOR,"I did some horrible things in https://github.com/cldellow/datasette-ui-extras/issues/2 to enable this in my plugin -- example here: https://dux-demo.fly.dev/cooking/posts?_facet=owner_user_id&owner_user_id=67
The implementation relies on two things:
- a `filters_from_request` hook that adds a good human description (unfortunately, without the benefit of the CSS styling you mention)
- doing something evil to hijack the `exact` and `not` operators in the `Filters` class. We can't leave them as is, or we'll get 2 human descriptions -- the built-in Datasette one and the one from my plugin. We can't remove them, or the filters UI will stop supporting the `=` and `!=` operators
This got me thinking: it'd be neat if the list of operators that the filters UI supported wasn't a closed set.
A motivating example: adding a geospatial `NEAR` operator. Ideally it'd take two arguments - a target point and a radius, so you could express a filter like `find me all rows whose lat/lng are within 10km of 43.4516° N, 80.4925° W`. (Optionally, the UI could be enhanced if the geonames database was loaded and queried, so a user could say `find me all rows whose lat/lng are within 10km of Kitchener, ON`, and the city gets translated to a lat/lng for them)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1186696202,Show foreign key label when filtering,
https://github.com/simonw/datasette/issues/1973#issuecomment-1407523547,https://api.github.com/repos/simonw/datasette/issues/1973,1407523547,IC_kwDOBm6k_c5T5Rrb,193185,cldellow,2023-01-29T00:40:31Z,2023-01-29T00:40:31Z,CONTRIBUTOR,"A +1 for switching to `CustomRow`: I think you currently only get a `CustomRow` if the result set had a column that was an fkey ([this code](https://github.com/simonw/datasette/blob/3c352b7132ef09b829abb69a0da0ad00be5edef9/datasette/views/table.py#L667-L682))
Otherwise you get vanilla `sqlite3.Row`s, which will fail if you try to access `.columns` or lookup the cell by name, which surprised me recently","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1515815014,render_cell plugin hook's row object is not a sqlite.Row,
https://github.com/simonw/datasette/pull/2008#issuecomment-1407558284,https://api.github.com/repos/simonw/datasette/issues/2008,1407558284,IC_kwDOBm6k_c5T5aKM,193185,cldellow,2023-01-29T04:23:58Z,2023-01-29T04:24:27Z,CONTRIBUTOR,"Ack, this PR is broken. I see now that the `inner.*` is necessary for ensuring the correct count in the face of rows having duplicate values in views.
That fixes the overcounting, but I think can undercount when the rows have the same data, eg a view like:
```sql
SELECT '[""bar""]' tags UNION ALL SELECT '[""bar""]'
```
will produce a count of `{""bar"": 1 }`, when it should be `{""bar"": 2}`. In fact, this could apply in tables without primary keys, too.
If `inner` came from a base table that had a primary key or a rowid, we could use those column(s) to solve that case.
I guess a general solution would be to compute a window function so we have a distinct ID for each row. Will fiddle to see if I can get that working.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1560982210,array facet: don't materialize unnecessary columns,
https://github.com/simonw/datasette/pull/2008#issuecomment-1407561308,https://api.github.com/repos/simonw/datasette/issues/2008,1407561308,IC_kwDOBm6k_c5T5a5c,193185,cldellow,2023-01-29T04:50:50Z,2023-01-29T04:50:50Z,CONTRIBUTOR,I pushed a revised version which ends up being faster -- the example which currently takes 4 seconds now runs in 500ms.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1560982210,array facet: don't materialize unnecessary columns,
https://github.com/simonw/datasette/pull/2008#issuecomment-1407716963,https://api.github.com/repos/simonw/datasette/issues/2008,1407716963,IC_kwDOBm6k_c5T6A5j,193185,cldellow,2023-01-29T17:04:03Z,2023-01-29T17:04:03Z,CONTRIBUTOR,"Performance tests - I think most places don't have them as a formal gate enforced by CI. TypeScript and scalac seem to have tests that run to capture timings. The timings are included by a bot as a comment or build check, and also stored in a database so you can graph changes over time to spot regressions. Probably overkill for Datasette!
Window functions - oh, good point. Looks like Ubuntu shipped JSON1 support as far back as sqlite 3.11. I'll let this PR linger until there's a way to run against different SQLite versions. For now, I'm shipping this with `datasette-ui-extras`, since I think it's OK for a plugin to enforce a higher minimum requirement.
Tests - there actually did end up being test changes to capture the undercount bug of the current implementation, so the current implementation would fail against the new tests.
Perhaps a non-window function version could be written that uses `random()` instead of `row_number() over ()` in order to get a unique key. It's technically not unique, but in practice, I imagine it'll work well.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1560982210,array facet: don't materialize unnecessary columns,