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2 rows where comments = 2 and "created_at" is on date 2021-09-13

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id ▼ node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association pull_request body repo type active_lock_reason performed_via_github_app reactions draft state_reason
994390593 MDU6SXNzdWU5OTQzOTA1OTM= 1468 Faceting for custom SQL queries MichaelTiemannOSC 72577720 closed 0     2 2021-09-13T02:52:16Z 2021-09-13T04:54:22Z 2021-09-13T04:54:17Z CONTRIBUTOR   Facets are awesome. But not when I need to join to tidy tables together. Or even just running explicitly the default SQL query that simply lists all the rows and columns of a table (up to SIZE). That is to say, when I browse a table, I see facets: https://latest.datasette.io/fixtures/compound_three_primary_keys But when I run a custom query, I don't: https://latest.datasette.io/fixtures?sql=select+pk1%2C+pk2%2C+pk3%2C+content+from+compound_three_primary_keys+order+by+pk1%2C+pk2%2C+pk3+limit+101 Is there an idiom to cause custom SQL to come back with facet suggestions? datasette 107914493 issue     {"url": "https://api.github.com/repos/simonw/datasette/issues/1468/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0}   completed
994450961 MDU6SXNzdWU5OTQ0NTA5NjE= 1469 Column cog shows "facet by this" when already default faceted simonw 9599 closed 0     2 2021-09-13T04:51:26Z 2021-10-13T21:20:07Z 2021-10-13T21:20:07Z OWNER   e.g. on https://covid-19.datasettes.com/covid/economist_excess_deaths <img width="782" alt="covid__economist_excess_deaths__17_576_rows_where_sorted_by_end_date_descending_and_New_Issue_·_simonw_datasette" src="https://user-images.githubusercontent.com/9599/133025772-beaf055e-374f-4180-aad3-bb0215e8aaf3.png"> But if you add `?_facet=country` to the URL that goes away: https://covid-19.datasettes.com/covid/economist_excess_deaths?_facet_size=5&_facet=country The logic that decides if the "Facet by this" item is shown does not take default `metadata.json` facets into account. datasette 107914493 issue     {"url": "https://api.github.com/repos/simonw/datasette/issues/1469/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0}   completed

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CREATE TABLE [issues] (
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [number] INTEGER,
   [title] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [state] TEXT,
   [locked] INTEGER,
   [assignee] INTEGER REFERENCES [users]([id]),
   [milestone] INTEGER REFERENCES [milestones]([id]),
   [comments] INTEGER,
   [created_at] TEXT,
   [updated_at] TEXT,
   [closed_at] TEXT,
   [author_association] TEXT,
   [pull_request] TEXT,
   [body] TEXT,
   [repo] INTEGER REFERENCES [repos]([id]),
   [type] TEXT
, [active_lock_reason] TEXT, [performed_via_github_app] TEXT, [reactions] TEXT, [draft] INTEGER, [state_reason] TEXT);
CREATE INDEX [idx_issues_repo]
                ON [issues] ([repo]);
CREATE INDEX [idx_issues_milestone]
                ON [issues] ([milestone]);
CREATE INDEX [idx_issues_assignee]
                ON [issues] ([assignee]);
CREATE INDEX [idx_issues_user]
                ON [issues] ([user]);
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