Most active AfC users in August 2023

SQL

use enwiki_p;

select ROW_NUMBER() OVER(ORDER BY reviews DESC) AS rank,
	  count(rc_id) as reviews,
      actor_name,
      SUM(comment_text like "%Publishing accepted%") as "accept",
      SUM(comment_text like "Declining submission:%") as "decline",
      SUM(comment_text like "Rejecting submission:%") as "reject",
      concat(round(SUM(comment_text like "%Publishing accepted%") * 100 / count(rc_id), 1), "%") as "accept %",
      concat(round(SUM(comment_text like "Declining submission:%") * 100 / count(rc_id), 1), "%") as "decline %",
      concat(round(SUM(comment_text like "Rejecting submission:%") * 100 / count(rc_id), 1), "%") as "reject %"
from recentchanges_userindex
left join actor on rc_actor = actor_id
left join comment on rc_comment_id = comment_id
where (rc_namespace = 118 or rc_namespace = 2)
  and (comment_text like "Declining submission:%" or comment_text like "Rejecting submission:%" or comment_text like "%Publishing accepted%")
  and MONTH(rc_timestamp) = MONTH(STR_TO_DATE('2023-07-31', '%Y-%m-%d'))
group by rc_actor
order by reviews desc;
SQL

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