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/359#issuecomment-489076725,https://api.github.com/repos/simonw/datasette/issues/359,489076725,MDEyOklzc3VlQ29tbWVudDQ4OTA3NjcyNQ==,9599,simonw,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,Faceted browse against a JSON list of tags,
https://github.com/simonw/datasette/issues/359#issuecomment-481939013,https://api.github.com/repos/simonw/datasette/issues/359,481939013,MDEyOklzc3VlQ29tbWVudDQ4MTkzOTAxMw==,9599,simonw,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,Faceted browse against a JSON list of tags,
https://github.com/simonw/datasette/issues/359#issuecomment-481724452,https://api.github.com/repos/simonw/datasette/issues/359,481724452,MDEyOklzc3VlQ29tbWVudDQ4MTcyNDQ1Mg==,9599,simonw,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,Faceted browse against a JSON list of tags,
https://github.com/simonw/datasette/issues/359#issuecomment-412357691,https://api.github.com/repos/simonw/datasette/issues/359,412357691,MDEyOklzc3VlQ29tbWVudDQxMjM1NzY5MQ==,9599,simonw,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,Faceted browse against a JSON list of tags,
https://github.com/simonw/datasette/issues/359#issuecomment-412356746,https://api.github.com/repos/simonw/datasette/issues/359,412356746,MDEyOklzc3VlQ29tbWVudDQxMjM1Njc0Ng==,9599,simonw,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,Faceted browse against a JSON list of tags,
https://github.com/simonw/datasette/issues/359#issuecomment-412356537,https://api.github.com/repos/simonw/datasette/issues/359,412356537,MDEyOklzc3VlQ29tbWVudDQxMjM1NjUzNw==,9599,simonw,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,Faceted browse against a JSON list of tags,