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7 rows where issue = 269731374

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id ▼ html_url issue_url node_id user created_at updated_at author_association body reactions issue performed_via_github_app
342484889 https://github.com/simonw/datasette/issues/44#issuecomment-342484889 https://api.github.com/repos/simonw/datasette/issues/44 MDEyOklzc3VlQ29tbWVudDM0MjQ4NDg4OQ== simonw 9599 2017-11-07T13:39:49Z 2017-11-07T13:39:49Z OWNER I’m going to call this feature “count values” {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} ?_group_count=country - return counts by specific column(s) 269731374  
345342512 https://github.com/simonw/datasette/issues/44#issuecomment-345342512 https://api.github.com/repos/simonw/datasette/issues/44 MDEyOklzc3VlQ29tbWVudDM0NTM0MjUxMg== simonw 9599 2017-11-17T19:27:53Z 2017-11-20T04:37:35Z OWNER This should support multiple columns, e.g. `?_group_count=precinct&_group_count=candidate` {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} ?_group_count=country - return counts by specific column(s) 269731374  
345343079 https://github.com/simonw/datasette/issues/44#issuecomment-345343079 https://api.github.com/repos/simonw/datasette/issues/44 MDEyOklzc3VlQ29tbWVudDM0NTM0MzA3OQ== simonw 9599 2017-11-17T19:29:43Z 2017-11-17T19:29:43Z OWNER Should this support sum/avg/etc as well? {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} ?_group_count=country - return counts by specific column(s) 269731374  
345494971 https://github.com/simonw/datasette/issues/44#issuecomment-345494971 https://api.github.com/repos/simonw/datasette/issues/44 MDEyOklzc3VlQ29tbWVudDM0NTQ5NDk3MQ== simonw 9599 2017-11-19T06:15:39Z 2017-11-19T06:15:39Z OWNER It would be great if this could support foreign key references and automatically resolve and hyperlink them if they are detected. {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} ?_group_count=country - return counts by specific column(s) 269731374  
345537315 https://github.com/simonw/datasette/issues/44#issuecomment-345537315 https://api.github.com/repos/simonw/datasette/issues/44 MDEyOklzc3VlQ29tbWVudDM0NTUzNzMxNQ== simonw 9599 2017-11-19T18:11:27Z 2017-11-19T18:11:27Z OWNER This would enable faceted search - moving it to the search milestone. {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} ?_group_count=country - return counts by specific column(s) 269731374  
345601103 https://github.com/simonw/datasette/issues/44#issuecomment-345601103 https://api.github.com/repos/simonw/datasette/issues/44 MDEyOklzc3VlQ29tbWVudDM0NTYwMTEwMw== simonw 9599 2017-11-20T06:13:35Z 2017-11-20T06:13:35Z OWNER Some demos: Single column: https://sf-trees-flat.now.sh/sf-trees-flat-ba738ce/Street_Tree_List?_group_count=qSpecies Multi column: https://sf-trees-flat.now.sh/sf-trees-flat-ba738ce/Street_Tree_List?_group_count=qLegalStatus&_group_count=qSpecies {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} ?_group_count=country - return counts by specific column(s) 269731374  
384676488 https://github.com/simonw/datasette/issues/44#issuecomment-384676488 https://api.github.com/repos/simonw/datasette/issues/44 MDEyOklzc3VlQ29tbWVudDM4NDY3NjQ4OA== simonw 9599 2018-04-26T15:09:57Z 2018-04-26T15:09:57Z OWNER Remaining work for this is tracked in #150 {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} ?_group_count=country - return counts by specific column(s) 269731374  

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   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [updated_at] TEXT,
   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
, [performed_via_github_app] TEXT);
CREATE INDEX [idx_issue_comments_issue]
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CREATE INDEX [idx_issue_comments_user]
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