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