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by
KylieTastic
.
I must not go back to spending too much time editing, so lets keep on the average of those with similar edit counts
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SQL
select * from recentchanges_userindex left join actor on rc_actor = actor_id where (rc_timestamp >= DATE_ADD(NOW(), INTERVAL -1 HOUR) ) and (rc_bot = 0) and actor_name IN ('CLCStudent', 'Skier Dude', 'MarnetteD', 'Drmies', 'Doc James', 'J.delanoy', 'Timrollpickering', 'KylieTastic') ; select count(rc_id) as edits, count(rc_id)/1 as edits_per_day, actor_name from recentchanges_userindex left join actor on rc_actor = actor_id where (rc_timestamp >= DATE_ADD(NOW(), INTERVAL -1 HOUR) ) and (rc_bot = 0) and actor_name IN ('CLCStudent', 'Skier Dude', 'MarnetteD', 'Drmies', 'Doc James', 'J.delanoy', 'Timrollpickering', 'KylieTastic') group by rc_actor order by edits_per_day desc; /* select count(rc_id) as edits, count(rc_id)/1 as edits_per_day, actor_name from recentchanges_userindex left join actor on rc_actor = actor_id where (rc_timestamp >= DATE_ADD(NOW(), INTERVAL -1 DAY) ) and (rc_bot = 0) and actor_name IN ('KylieTastic', 'Armbrust', 'Diannaa', 'Derek R Bullamore', 'Shellwood', 'Discospinster', 'Jim1138', 'DGG') group by rc_actor order by edits_per_day desc; */
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