如何按状态比较时间戳来计算正常运行率

Question

我有一个 table 用于记录 http 调用。这是我的 table 的样子：

callTimestamp	httpStatus	endpoint
2021-04-01 06:00:00	200	https://someserver/someapi/v1/endpoint1
2021-04-01 10:21:11	200	https://someserver/someapi/v1/endpoint1
2021-04-01 10:25:00	500	https://someserver/someapi/v1/endpoint1
2021-04-01 11:33:15	200	https://someserver/someapi/v1/endpoint1
2021-04-01 11:34:31	200	https://someserver/someapi/v1/endpoint1
2021-04-01 11:35:22	500	https://someserver/someapi/v1/endpoint1
2021-04-01 12:22:54	200	https://someserver/someapi/v1/endpoint1
2021-04-01 10:21:11	200	https://someserver/someapi/v1/endpoint2
2021-04-01 10:25:32	500	https://someserver/someapi/v1/endpoint2
2021-04-01 10:59:12	200	https://someserver/someapi/v1/endpoint2

我需要计算正常运行率，即：

以秒为单位的总正常运行率 (100%) 为 TIME_TO_SEC(TIMEDIFF(NOW(), MIN(callTimestamp)))
需要计算具有 httpStatus 500 的记录与随后具有按端点分组的 httpStatus 200 的记录之间的（停机时间）差异。从上面的端点 1 示例中，我有两次出现：

2021-04-01 11:33:15 - 2021-04-01 10:25:00 = 4095 秒

2021-04-01 12:22:54 - 2021-04-01 11:35:22 = 2852 秒

预期结果示例
正在考虑
MIN（呼叫时间戳）= 2021-04-01 06:00:00
现在（）= 2021-04-01 22:00:00

TIME_TO_SEC(TIMEDIFF(NOW(), MIN(callTimestamp))) = 57600 秒（这是我的 100%）

端点 1 = 57600 - 6947 = 50563 秒正常运行时间
endpoint2 = 57600 - 2020 = 55580 秒正常运行时间

uptimeRate	endpoint
87.93	https://someserver/someapi/v1/endpoint1
96.49	https://someserver/someapi/v1/endpoint2

我不知道如何按端点计算停机时间。

关于如何执行此操作的任何想法？

P.S: 我正在使用 MySQL 8.0.20

Answer 1

您可以使用lead()over()计算下一个callTimestamp和min()over()window函数到select最小值callTimestamp。然后通过分组和聚合你可以得到你正在寻找的东西。

架构和插入语句：

 create table mytable(callTimestamp datetime,   httpStatus int, endpoint varchar(100));
 insert into mytable values('2021-04-01 10:21:11',200,  'https://someserver/someapi/v1/endpoint1');
 insert into mytable values('2021-04-01 10:25:00',500,  'https://someserver/someapi/v1/endpoint1');
 insert into mytable values('2021-04-01 11:33:15',200,  'https://someserver/someapi/v1/endpoint1');
 insert into mytable values('2021-04-01 11:34:31',200,  'https://someserver/someapi/v1/endpoint1');
 insert into mytable values('2021-04-01 11:35:22',500,  'https://someserver/someapi/v1/endpoint1');
 insert into mytable values('2021-04-01 12:22:54',200,  'https://someserver/someapi/v1/endpoint1');
 insert into mytable values('2021-04-01 10:21:11',200,  'https://someserver/someapi/v1/endpoint2');
 insert into mytable values('2021-04-01 10:25:32',500,  'https://someserver/someapi/v1/endpoint2');
 insert into mytable values('2021-04-01 10:59:12',200,  'https://someserver/someapi/v1/endpoint2');

查询：

 select endpoint, 100*(TIME_TO_SEC(TIMEDIFF(NOW(), max(mincalltime)))-sum(TIME_TO_SEC(TIMEDIFF(nexttime, calltimestamp))))/ TIME_TO_SEC(TIMEDIFF(NOW(), max(mincalltime))) uptimeRate
 
 
 from
 (select *,lead(calltimestamp)over (partition by endpoint order by calltimestamp)nexttime,
 min(calltimestamp)over(partition by endpoint order by calltimestamp) mincalltime
 from mytable 
 )t
 where httpstatus=500
 group by endpoint

输出：

endpoint	uptimeRate
https://someserver/someapi/v1/endpoint1	98.8895
https://someserver/someapi/v1/endpoint2	99.6771

dbhere

如何按状态比较时间戳来计算正常运行率

How to calculate uptime rate comparing timestamps by status

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