issue_comments: 409088967
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| 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/356#issuecomment-409088967 | https://api.github.com/repos/simonw/datasette/issues/356 | 409088967 | MDEyOklzc3VlQ29tbWVudDQwOTA4ODk2Nw== | 9599 | 2018-07-31T04:14:44Z | 2018-07-31T04:14:44Z | OWNER | Here's the query I'm playing with for facet counts: https://datasette-m2m-work-in-progress.now.sh/russian-ads-e8e09e2?sql=select+target_id%2C+count%28*%29+as+n+from+ad_targets%0D%0Awhere%0D%0A++target_id+not+in+%28%22ec3ac%22%2C+%22e128e%22%29%0D%0A++and+ad_id+in+%28select+ad_id+from+ad_targets+where+target_id+%3D+%22ec3ac%22%29%0D%0A++and+ad_id+in+%28select+ad_id+from+ad_targets+where+target_id+%3D+%22e128e%22%29%0D%0Agroup+by+target_id+order+by+n+desc%3B ``` select target_id, count(*) as n from ad_targets where target_id not in ("ec3ac", "e128e") and ad_id in (select ad_id from ad_targets where target_id = "ec3ac") and ad_id in (select ad_id from ad_targets where target_id = "e128e") group by target_id order by n desc; ``` | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 346028655 |