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4 rows where state = "closed" and "updated_at" is on date 2021-07-16 sorted by updated_at descending
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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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946553953 | MDExOlB1bGxSZXF1ZXN0NjkxNzA3NDA5 | 1397 | Fix for race condition in refresh_schemas(), closes #1231 | simonw 9599 | closed | 0 | 0 | 2021-07-16T19:44:43Z | 2021-07-16T19:45:00Z | 2021-07-16T19:44:58Z | OWNER | simonw/datasette/pulls/1397 | datasette 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/1397/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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811367257 | MDU6SXNzdWU4MTEzNjcyNTc= | 1231 | Race condition errors in new refresh_schemas() mechanism | simonw 9599 | closed | 0 | 11 | 2021-02-18T18:49:54Z | 2021-07-16T19:44:59Z | 2021-07-16T19:44:59Z | OWNER | I tried running a Locust load test against Datasette and hit an error message about a failure to create tables because they already existed. I think this means there are race conditions in the new |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1231/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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944870799 | MDU6SXNzdWU5NDQ4NzA3OTk= | 1394 | Big performance boost on faceting: skip the inner order by | simonw 9599 | closed | 0 | 4 | 2021-07-14T23:32:29Z | 2021-07-16T02:23:32Z | 2021-07-15T00:05:50Z | OWNER | I just noticed something that could make for a huge performance improvement in faceting. The default query used by Datasette when faceting looks like this:
Note that there's a I had assumed SQLite would optimize this away - but it turns out it doesn't! Consider this version of the query, with that pointless order by removed:
I tried this optimization on a table with 2.5m rows in it - without the optimization it took 5 seconds, with the optimization it took 450ms. So this is a very significant improvement! |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1394/reactions", "total_count": 2, "+1": 1, "-1": 0, "laugh": 0, "hooray": 1, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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612673948 | MDU6SXNzdWU2MTI2NzM5NDg= | 759 | fts search on a column doesn't work anymore due to escape_fts | Krazybug 133845 | closed | 0 | 3 | 2020-05-05T15:03:44Z | 2021-07-16T02:11:54Z | 2020-05-06T17:50:57Z | NONE | Hi and first, thank you for this awesome work you make with this projet. On a db indexed in full text search, I can't query on indexed column anymore. This request "cauvin language:ita": is running smoothly on a old version of datasette but not on the current version. Compare the current version query
To an older version:
language is a searchable column but now the search string is known as "cauvin language:ita" literally as a search term. columns are not parsed. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/759/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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