issues
4 rows where "closed_at" is on date 2019-11-07 and "updated_at" is on date 2019-11-07 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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519039316 | MDExOlB1bGxSZXF1ZXN0MzM3ODUzMzk0 | 65 | Release 1.12.1 | simonw 9599 | closed | 0 | 0 | 2019-11-07T04:51:29Z | 2019-11-07T04:58:48Z | 2019-11-07T04:58:47Z | OWNER | simonw/sqlite-utils/pulls/65 | sqlite-utils 140912432 | pull | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/65/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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476413293 | MDU6SXNzdWU0NzY0MTMyOTM= | 52 | Throws error if .insert_all() / .upsert_all() called with empty list | simonw 9599 | closed | 0 | 1 | 2019-08-03T04:09:00Z | 2019-11-07T04:32:39Z | 2019-11-07T04:32:39Z | OWNER | sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/52/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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519032008 | MDExOlB1bGxSZXF1ZXN0MzM3ODQ3NTcz | 64 | test_insert_upsert_all_empty_list | simonw 9599 | closed | 0 | 0 | 2019-11-07T04:24:45Z | 2019-11-07T04:32:38Z | 2019-11-07T04:32:38Z | OWNER | simonw/sqlite-utils/pulls/64 | sqlite-utils 140912432 | pull | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/64/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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512996469 | MDU6SXNzdWU1MTI5OTY0Njk= | 607 | Ways to improve fuzzy search speed on larger data sets? | zeluspudding 8431341 | closed | 0 | 6 | 2019-10-27T17:31:37Z | 2019-11-07T03:38:10Z | 2019-11-07T03:38:10Z | NONE | I have an sqlite table with 16 million rows in it. Having read @simonw article "Fast Autocomplete Search for Your Website" I was curious to try datasette to see what kind of query performance I could get out of it. In truth I don't need to do full text search since all I would like to do is give my users a way to search for the names of investors such as "Warren Buffet", or "Tim Cook" (who's names are in a single column). On the first search, Datasette takes over 20 seconds to return all records associated with If I rerun the same search, it then takes almost 9 seconds: That's far to slow to implement an autocomplete feature. I could reduce the latency by making a special table of only unique investor names, thereby reducing the search space to less than a million rows (then I'd need to implement a way to add only new investor names to the table as I received new data.. about 4,000 rows a day). If I did that, I'm still concerned the new table wouldn't be lean enough to lookup investor names quickly. Plus, even if I can implement the autocomplete feature, I would still finally have to lookup records for that investors which would take between 8 - 20 seconds. Are there any tricks for speeding this up? Here's my hardware: |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/607/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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