html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,issue,performed_via_github_app https://github.com/simonw/datasette/issues/359#issuecomment-489076725,https://api.github.com/repos/simonw/datasette/issues/359,489076725,MDEyOklzc3VlQ29tbWVudDQ4OTA3NjcyNQ==,9599,2019-05-03T12:20:38Z,2019-05-03T12:20:38Z,OWNER,Demo: https://latest.datasette.io/fixtures/facetable?_facet_array=tags#facet-tags,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",349827640, https://github.com/simonw/datasette/issues/359#issuecomment-481939013,https://api.github.com/repos/simonw/datasette/issues/359,481939013,MDEyOklzc3VlQ29tbWVudDQ4MTkzOTAxMw==,9599,2019-04-11T02:17:55Z,2019-04-11T02:17:55Z,OWNER,"Challenge: facets can also be defined in `metadata.json` like this: ``` { ""databases"": { ""sf-trees"": { ""tables"": { ""Street_Tree_List"": { ""facets"": [""qLegalStatus""] } } } } } ``` But... `?_facet_array=definitions` doesn't fit in that data structure. Need to have an alternative mechanism for defining this kind of facet.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",349827640, https://github.com/simonw/datasette/issues/359#issuecomment-481724452,https://api.github.com/repos/simonw/datasette/issues/359,481724452,MDEyOklzc3VlQ29tbWVudDQ4MTcyNDQ1Mg==,9599,2019-04-10T14:52:59Z,2019-04-10T14:52:59Z,OWNER,"I'm going to go with `?_facet_array=definitions` as the querystring argument for this. And `?definitions_arraycontains=foo` as the filter argument.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",349827640, https://github.com/simonw/datasette/issues/359#issuecomment-412357691,https://api.github.com/repos/simonw/datasette/issues/359,412357691,MDEyOklzc3VlQ29tbWVudDQxMjM1NzY5MQ==,9599,2018-08-12T17:17:29Z,2018-08-12T17:17:29Z,OWNER,"Note that there doesn't seem to be a way to use indexes (even [indexes on expressions](https://www.sqlite.org/expridx.html)) to speed these up, so this will only ever be effective on smaller data sets, probably in the 10,000-100,000 range. Datasette is often used with smaller data sets so this is still worth pursuing.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",349827640, https://github.com/simonw/datasette/issues/359#issuecomment-412356746,https://api.github.com/repos/simonw/datasette/issues/359,412356746,MDEyOklzc3VlQ29tbWVudDQxMjM1Njc0Ng==,9599,2018-08-12T17:05:00Z,2018-08-12T17:05:00Z,OWNER,"And here's the query for pulling back every record tagged with a specific tag: https://latest-code.datasette.io/code-a26fa3c?sql=select+*+from+definitions+where+rowid+in+%28%0D%0A++select+definitions.rowid%0D%0A++from+definitions+join+json_each%28params%29+j%0D%0A++where+j.value+%3D+%3Atag%0D%0A%29&tag=filename ``` select * from definitions where rowid in ( select definitions.rowid from definitions join json_each(params) j where j.value = :tag ) ```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",349827640, https://github.com/simonw/datasette/issues/359#issuecomment-412356537,https://api.github.com/repos/simonw/datasette/issues/359,412356537,MDEyOklzc3VlQ29tbWVudDQxMjM1NjUzNw==,9599,2018-08-12T17:01:21Z,2018-08-12T17:01:39Z,OWNER,"Example table: https://latest-code.datasette.io/code/definitions Here's a query that does facet counting against that column: https://latest-code.datasette.io/code-a26fa3c?sql=select+count%28*%29+as+n%2C+j.value+from+definitions+join+json_each%28params%29+j+group+by+j.value+order+by+n+desc%3B ``` select count(*) as n, j.value from definitions join json_each(params) j group by j.value order by n desc; ```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",349827640,