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This query is marked as a draft
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by
PhantomTech
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Begin with "raw" set of edits, further filtering and add information to allow filtering based on correlation, filter "correlated"
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SQL
SELECT * FROM ( SELECT user.user_id, user.user_registration, user.user_name, user.user_editcount, page.page_id, page.page_title, page.page_namespace, COUNT(page.page_id) as num_edits FROM user JOIN actor ON actor.actor_user = user.user_id JOIN revision_userindex ON revision_userindex.rev_actor = actor.actor_id JOIN page ON page.page_id = revision_userindex.rev_page WHERE true AND user.user_registration > 20220000000000 AND user.user_name regexp "^Coop[0-9]{3,}$" GROUP BY user.user_id, page.page_id ) as unfiltered WHERE true AND unfiltered.page_namespace IN (0) HAVING true AND COUNT(unfiltered.page_id) > 1 ORDER BY num_edits DESC LIMIT 100;
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