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统计时间分布脚本(mysql)

发布时间:2021-01-11 21:25:13 所属栏目:编程 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 


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