AfC Backlog Nov 2023 stats @ZERO *

SQL

select DATE_FORMAT(UTC_DATE() - INTERVAL 5 MONTH, '%Y%m%d%H%i%S')
select  DATE_FORMAT(UTC_DATE() - INTERVAL 5 MONTH)

/*select DATE(rc_timestamp) AS date,count(rc_id) as reviews,
		SUM(comment_text like "%Publishing accepted%") as accepts,
        SUM(comment_text like "Declining submission:%") as declines,
        SUM(comment_text like "Rejecting submission:%") as rejects,
        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 comment on rc_comment_id = comment_id
where (rc_namespace = 118 or rc_namespace = 2) and (rc_type < 5) 
  and (comment_text like "Declining submission:%" or comment_text like "Rejecting submission:%" or comment_text like "%Publishing accepted%")
  AND rev_timestamp < DATE_FORMAT(UTC_DATE() - INTERVAL 5 MONTH, '%Y%m%d%H%i%S')
group by date desc;
*/
SQL

Checking query status...
