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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 rel_users.user_registration, rel_users.user_name, rel_users.user_editcount, page.page_title#, # COUNT(revision.rev_id) AS num_edits FROM (SELECT user_id, user_name, user_editcount, user_registration FROM user WHERE user_registration > 20220000000000 AND user_name regexp "^Coop[0-9]{3,}$") AS rel_users JOIN actor ON actor.actor_user = rel_users.user_id JOIN revision ON revision.rev_actor = actor.actor_id JOIN page ON page.page_id = revision.rev_page #WHERE page.page_namespace = 0 #GROUP BY rel_users.user_id, page.page_title #ORDER BY num_edits DESC LIMIT 100;
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