统计时间分布脚本(mysql)
发布时间:2021-01-12 20:07:06 所属栏目:MySql教程 来源:网络整理
导读:今天PHP站长网 52php.cn把收集自互联网的代码分享给大家,仅供参考。 mysql -- 查询超时记录select * from visit_record t where t.accesstimeto_date('2013-09-1','yyyy-MM-dd') and t.username is not null and t.resul
以下代码由PHP站长网 52php.cn收集自互联网 现在PHP站长网小编把它分享给大家,仅供参考 mysql-- 查询超时记录 select * from visit_record t where t.accesstime>to_date('2013-09-1','yyyy-MM-dd') and t.username is not null and t.result='成功' and t.totaltimecost>5000 and t.clientip <> '192.168.112.53' and t.clientip <> '192.168.112.200' and t.clientip <> '192.168.112.245' order by t.totaltimecost desc ; -- 导出日期范围内的日志信息(已xml格式导出为stat.xml,使用navicat工具导入进stat表) select t.username,t.accesstime,t.totaltimecost,t.accessurl from visit_record t where t.accesstime>to_date('2013-09-1','yyyy-MM-dd') and t.username is not null and t.result='成功' and t.clientip <> '192.168.112.53' and t.clientip <> '192.168.112.200' and t.clientip <> '192.168.112.245' and (t.accessurl='/newOA/m_flow/navPage.do' or t.accessurl='/newOA/m_commWorkflow/submitNode_2p0.do' or t.accessurl='/newOA/user/showDaiBanxiangJsp.do' or t.accessurl='/newOA/user/showDaiBanXiangList.do' ) order by t.totaltimecost desc ; -- 统计超时率(myql库中) select t.ACCESSURL as url,COUNT(t.ACCESSURL) as 发生次数,COUNT(IF(t.TOTALTIMECOST>5000,t.TOTALTIMECOST,null)) as 超时次数,null))/COUNT(t.ACCESSURL) as 超时率,ROUND(avg(t.TOTALTIMECOST)) as 平均耗时,max(t.TOTALTIMECOST) as 最大耗时 from stat t group by t.ACCESSURL order by 平均耗时 desc; -- 时间分布(异常统计) select t.ACCESSURL as url,null)) as 超时次数,COUNT(IF(t.TOTALTIMECOST>5000 and time(t.ACCESSTIME) between '09:00:00' and '10:00:00',null)) as '9',COUNT(IF(t.TOTALTIMECOST>5000 and time(t.ACCESSTIME) between '10:00:00' and '11:00:00',null)) as '10',COUNT(IF(t.TOTALTIMECOST>5000 and time(t.ACCESSTIME) between '11:00:00' and '12:00:00',null)) as '11',COUNT(IF(t.TOTALTIMECOST>5000 and time(t.ACCESSTIME) between '12:00:00' and '13:00:00',null)) as '12',COUNT(IF(t.TOTALTIMECOST>5000 and time(t.ACCESSTIME) between '13:00:00' and '14:00:00',null)) as '13',COUNT(IF(t.TOTALTIMECOST>5000 and time(t.ACCESSTIME) between '14:00:00' and '15:00:00',null)) as '14',COUNT(IF(t.TOTALTIMECOST>5000 and time(t.ACCESSTIME) between '15:00:00' and '16:00:00',null)) as '15',COUNT(IF(t.TOTALTIMECOST>5000 and time(t.ACCESSTIME) between '16:00:00' and '17:00:00',null)) as '16',COUNT(IF(t.TOTALTIMECOST>5000 and time(t.ACCESSTIME) between '17:00:00' and '18:00:00',null)) as '17' from stat t group by t.ACCESSURL with ROLLUP; select t.ACCESSURL as url,COUNT(IF( time(t.ACCESSTIME) between '09:00:00' and '10:00:00',COUNT(IF( time(t.ACCESSTIME) between '10:00:00' and '11:00:00',COUNT(IF( time(t.ACCESSTIME) between '11:00:00' and '12:00:00',COUNT(IF( time(t.ACCESSTIME) between '12:00:00' and '13:00:00',COUNT(IF( time(t.ACCESSTIME) between '13:00:00' and '14:00:00',COUNT(IF( time(t.ACCESSTIME) between '14:00:00' and '15:00:00',COUNT(IF( time(t.ACCESSTIME) between '15:00:00' and '16:00:00',COUNT(IF( time(t.ACCESSTIME) between '16:00:00' and '17:00:00',COUNT(IF( time(t.ACCESSTIME) between '17:00:00' and '18:00:00',null)) as '17' from stat t group by t.ACCESSURL with ROLLUP; -- 日期分布(正常统计) select t.ACCESSURL as url,COUNT(IF( WEEKDAY(t.ACCESSTIME)=0,t.ACCESSTIME,null)) as '星期1',COUNT(IF( WEEKDAY(t.ACCESSTIME)=1,null)) as '星期2',COUNT(IF( WEEKDAY(t.ACCESSTIME)=2,null)) as '星期3',COUNT(IF( WEEKDAY(t.ACCESSTIME)=3,null)) as '星期4',COUNT(IF( WEEKDAY(t.ACCESSTIME)=4,null)) as '星期5',COUNT(IF( WEEKDAY(t.ACCESSTIME)=5,null)) as '星期6',COUNT(IF( WEEKDAY(t.ACCESSTIME)=6,null)) as '日' from stat t group by t.ACCESSURL select t.ACCESSURL as url,COUNT(IF( t.TOTALTIMECOST>5000 and WEEKDAY(t.ACCESSTIME)=0,COUNT(IF( t.TOTALTIMECOST>5000 and WEEKDAY(t.ACCESSTIME)=1,COUNT(IF( t.TOTALTIMECOST>5000 and WEEKDAY(t.ACCESSTIME)=2,COUNT(IF( t.TOTALTIMECOST>5000 and WEEKDAY(t.ACCESSTIME)=3,COUNT(IF( t.TOTALTIMECOST>5000 and WEEKDAY(t.ACCESSTIME)=4,COUNT(IF( t.TOTALTIMECOST>5000 and WEEKDAY(t.ACCESSTIME)=5,COUNT(IF( t.TOTALTIMECOST>5000 and WEEKDAY(t.ACCESSTIME)=6,null)) as '日' from stat t group by t.ACCESSURL 以上内容由PHP站长网【52php.cn】收集整理供大家参考研究 如果以上内容对您有帮助,欢迎收藏、点赞、推荐、分享。 (编辑:好传媒网) 【声明】本站内容均来自网络,其相关言论仅代表作者个人观点,不代表本站立场。若无意侵犯到您的权利,请及时与联系站长删除相关内容! |