指标执行总体分析:

 

1 /*===* 需要对10分钟以及30分钟耗时分别进行数据统计 *===*/
2 select b.module_id,b.risk_name,concat('''',max(a.using_time)/1000/60/60) as use_time,
3        concat('''',a.risk_id) as risk_id,group_concat(distinct a.company_name) as com_name,
4        max(a.calc_amount) as calc_amount,max(a.risk_amount) as risk_amount
5 from edition_log_collect a,rmm_risk_item b
6 where a.risk_id = b.risk_id
7   and a.using_time >= 30*60*1000
8 group by b.module_id,b.risk_name,a.risk_id
9 order by b.module_id,a.risk_id

 

1 /*===* 查看模块耗时指标重点分布券商 *===*/
2 select a.company_name,b.module_id,
3        count(distinct a.risk_id) as risk_cnt
4 from edition_log_collect a,rmm_risk_item b
5 where a.risk_id = b.risk_id
6   and a.using_time >= 30*60*1000
7 group by a.company_name,b.module_id
8 order by b.module_id,risk_cnt desc

 

 posted on 2019-07-15 15:07  GrumpyRabbit  阅读(122)  评论(0)    收藏  举报