issue_comments: 388645828
This data as json
| 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/255#issuecomment-388645828 | https://api.github.com/repos/simonw/datasette/issues/255 | 388645828 | MDEyOklzc3VlQ29tbWVudDM4ODY0NTgyOA== | 9599 | 2018-05-13T18:18:56Z | 2018-05-13T18:20:02Z | OWNER | I may be able to run the SQL for all of the facet counts in one go using a WITH CTE query - will have to microbenchmark this to make sure it is worthwhile: https://datasette-facets-demo.now.sh/fivethirtyeight-2628db9?sql=with+blah+as+%28select+*+from+%5Bcollege-majors%2Fall-ages%5D%29%0D%0Aselect+*+from+%28select+%22Major_category%22%2C+Major_category%2C+count%28*%29+as+n+from%0D%0Ablah+group+by+Major_category+order+by+n+desc+limit+10%29%0D%0Aunion+all%0D%0Aselect+*+from+%28select+%22Major_category2%22%2C+Major_category%2C+count%28*%29+as+n+from%0D%0Ablah+group+by+Major_category+order+by+n+desc+limit+10%29 | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 322477187 |