用于评估某事物“开启”的总持续时间的 MySQL 查询
我在表中有一系列带时间戳的开/关数据,代表开/关状态,或者状态“开始”的点,
00:00:00 0
04:00:00 1
08:00:00 0
09:00:00 1
15:00:00 0
20:00:00 1
23:59:59 0
我需要计算(例如)24 小时内开状态的总持续时间。
在此简化示例中,总持续时间 = 1 为 (04:00:00->08:00:00、09:00:00->15:00:00、20:00:00->23:59:59 即 13:59:59 大约 14h
我无法确定这是否可以单独在 SQL 中完成,或者我使用的底层框架 (django) 是否需要根据返回的数据来完成此操作。如果可能的话,我显然更愿意让数据库承担繁重的工作,因为我们可能还需要在单独的统计数据包中使用 SQL。
我不清楚我是否可以对选择中的上一个或下一个元素进行操作,我是一个自信的 SQL 用户,但不知道从哪里开始这个或通用方法,有什么想法吗?
我真的很喜欢在一个查询中做到这一点,或者用其他一些聪明的方法来计算我所缺少的!
I have a series of timestamped on/off data in a table, representing on/off states, or the point at which a state "starts"
00:00:00 0
04:00:00 1
08:00:00 0
09:00:00 1
15:00:00 0
20:00:00 1
23:59:59 0
I need to calculate the total duration of (say) the ON state over a 24h period.
In this simplified example total duration = 1 is
(04:00:00->08:00:00, 09:00:00->15:00:00, 20:00:00->23:59:59
i.e. 13:59:59 approx 14h
I can't determine whether this can be done in SQL alone, or whether the underlying framework i am using (django) would need to do this based on returned data. I would obviously prefer to have the database do the heavy lifting if possible, because we may need to use the SQL in our separate stats package as well.
It's not clear to me if I can do operations on (say) previous or next element in the select, I am a confident SQL user but can't see where to start for this or the generalised approach, any ideas?
I'd really like this in a single query, or some other clever way of calculating this I am missing!
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MySQL 中没有
row_number()
,但您可以执行双连接来搜索上一行:在 MySQL 中,您还可以使用变量,在这种情况下可能更有效:
代码为创建并填充测试表:
There's no
row_number()
in MySQL, but you can do a double join to search for the previous row:In MySQL, you can also use a variable, which in this case is probably more efficient:
Code to create and populate test table: