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
1055402144,PR_kwDOBm6k_c4unfnq,1512,New pattern for async view classes,9599,closed,0,,,7,2021-11-16T21:55:44Z,2021-11-17T01:39:54Z,2021-11-17T01:39:44Z,OWNER,simonw/datasette/pulls/1512,Refs #878 - starting out with the new `AsyncBase` class implementing a pytest-inspired `asyncio` parallel execution mechanism.,107914493,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1512/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1,
1055469073,I_kwDOBm6k_c4-6S4R,1513,Research: CTEs and union all to calculate facets AND query at the same time,9599,closed,0,,,12,2021-11-16T22:26:45Z,2021-11-16T23:41:46Z,2021-11-16T23:41:46Z,OWNER,,"Consider this page: https://global-power-plants.datasettes.com/global-power-plants/global-power-plants?_search=plant&_facet=owner&_facet=country_long&_facet=primary_fuel

Datasette needs to run the main query for the rows on that page, a count query for the total query, then a separate query for each of those three specified facets.

This is a `_search=` query, so it needs to execute the FTS code once for the rows, again for the count, and then three more times for each of the facets.

Could running that query as a CTE and doing the other queries as part of the same large query produce significant speed improvements?",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1513/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed