AAAAA BBBBB (为慢查询用到的库名)
select t2.checksum,t2.sample,t2.last_seen,t2.ts_cnt,
t2.Query_time_avg,t2.Query_time_max,t2.Query_time_sum,t2.Lock_time_max,t2.Lock_time_sum
from
(select a.checksum,a.fingerprint,a.sample,a.first_seen,a.last_seen,b.serverid_max,
b.db_max,b.user_max,b.ts_min,b.ts_max,
sum
(b.ts_cnt) as ts_cnt,
sum
(b.Query_time_sum)
/
sum
(b.ts_cnt) as Query_time_avg,
max
(b.Query_time_max) as Query_time_max,
min
(b.Query_time_min) as Query_time_min,
b.Query_time_sum as Query_time_sum,
max
(b.Lock_time_max) as Lock_time_max,
min
(b.Lock_time_min) as Lock_time_min,
sum
(b.Lock_time_sum) as Lock_time_sum
from
mysql_slow_query_review a join mysql_slow_query_review_history b
where a.checksum
=
b.checksum
and
b.serverid_max
=
'275'
group by a.checksum ) t2 where
-
-
t2.Query_time_avg>
4
and
t2.ts_cnt>
1000
t2.sample like
'%AAAAA%'
and
t2.sample like
'%BBBBB%'
and
t2.last_seen > date_sub(now(),interval
2
week)
and
t2.sample like
'%count(1)%'
order by t2.ts_cnt desc limit
1
-
-
order by Query_time_sum desc