在我们的数据库中,我们有一个表来跟踪设备的功耗。插入新值的速率不固定,只有在确实存在变化时才会写入,因此值之间的时间距离会发生变化,可能会达到1秒到几分钟。条目包括时间戳和值。每增加一行,该值总是会增加,因为它计算的是kWh。
我想要实现的目标如下:我想指定一个开始和结束日期时间,比方说一个月。我还想指定一个15分钟,1小时,1天或类似的间隔。我需要得到的结果是[间隔开始为日期时间],[该间隔内的功耗],例如,像这样(间隔设置为1小时):
2015-01.01 08:00:00 - 65
2015-01.01 09:00:00 - 43
2015-01.01 10:00:00 - 56
这就是表格的样子:
TimeStamp Value
-------------------------
2015-01-08 08:29:47, 5246
2015-01-08 08:36:15, 5247
2015-01-08 08:37:10, 5248
2015-01-08 08:38:01, 5249
2015-01-08 08:38:38, 5250
2015-01-08 08:38:51, 5251
2015-01-08 08:39:33, 5252
2015-01-08 08:40:20, 5253
2015-01-08 08:41:10, 5254
2015-01-09 08:56:25, 5255
2015-01-09 08:56:43, 5256
2015-01-09 08:57:31, 5257
2015-01-09 08:57:36, 5258
2015-01-09 08:58:02, 5259
2015-01-09 08:58:57, 5260
2015-01-09 08:59:27, 5261
2015-01-09 09:00:06, 5262
2015-01-09 09:00:59, 5263
2015-01-09 09:01:54, 5265
2015-01-09 09:02:44, 5266
2015-01-09 09:03:39, 5267
2015-01-09 09:04:22, 5268
2015-01-09 09:05:11, 5269
2015-01-09 09:06:08, 5270
我觉得我必须把它结合起来 SUM()
功能与 GROUP BY
,但我不知道如何做到这一点,因为据我所知,我也必须只考虑 发展 每个间隔而不是该间隔内绝对值的总和。如果有人能把我带到正确的轨道上会很棒。
您的样本数据与结果间隔不匹配,因此您可能会错过结束或开始时间间隔内的增加。
因此,我假设样本数据行之间呈线性增长,并将它们与结果间隔相匹配。
declare @start datetime2 = '2015-01-09 09:00:00'
declare @end datetime2 = '2015-01-09 09:30:00'
declare @intervalMinutes int = 5
;with intervals as (
select @start iStart, dateadd(minute, @intervalMinutes, @start) iEnd
union all
select iEnd, dateadd(minute, @intervalMinutes, iEnd) from intervals
where iEnd < @end
), increases as (
select
T.Timestamp sStart,
lead(T.Timestamp, 1, null ) over (order by T.Timestamp) sEnd, -- the start of the next period if there is one, null else
lead(T.value, 1, null ) over (order by T.Timestamp) - T.value increase -- the increase within this period
from @T T
), rates as (
select
sStart rStart,
sEnd rEnd,
(cast(increase as float))/datediff(second, sStart, sEnd) rate -- increase/second
from increases where increase is not null
), samples as (
select *,
case when iStart > rStart then iStart else rStart end sStart, -- debug
case when rEnd>iEnd then iEnd else rEnd end sEnd, -- debug
datediff(second, case when iStart > rStart then iStart else rStart end, case when rEnd>iEnd then iEnd else rEnd end)*rate x -- increase within the period within the interval
from intervals i
left join rates r on rStart between iStart and iEnd or rEnd between iStart and iEnd or iStart between rStart and rEnd -- overlaps
)
select iStart, iEnd, isnull(sum(x), 0) from samples
group by iStart, iEnd
CTE:
intervals
保存您想要数据的intervales
increaese
计算样本数据周期内的增量
rates
计算样本数据周期中每秒的增量
samples
通过考虑边界之间的重叠,将结果间隔与样本间隔相匹配
最后,选择总结了与单个间隔匹配的采样周期。
笔记:
- 对于间隔量> [您的最大递归深度],您必须使用另一个解决方案来创建
intervals
CTE(参见@GarethD解决方案)
- 调试提示:只需使用
select * from samples
您可以看到与结果间隔匹配的采样周期
我认为解决这个问题的最好方法是先生成你的间隔,然后再加入你的数据,因为这首先使得变量间隔的分组变得更加复杂,并且还意味着你仍然得到没有数据的间隔的结果。要做到这一点,你需要一个数字表,因为很多人下面没有一个是快速生成一个数字的方法:
WITH N1 AS (SELECT N FROM (VALUES (1),(1),(1),(1),(1),(1),(1),(1),(1),(1)) t (N)),
N2 (N) AS (SELECT 1 FROM N1 AS N1 CROSS JOIN N1 AS N2),
Numbers (N) AS (SELECT ROW_NUMBER() OVER(ORDER BY N1.N) FROM N2 AS N1 CROSS JOIN N2 AS N2)
SELECT *
FROM Numbers;
这只是生成1到10,000的序列。有关此内容的更多信息,请参阅以下系列:
然后,您可以定义开始时间,间隔和要显示的记录数,以及您的数字表,您可以生成数据:
DECLARE @Start DATETIME2 = '2015-01-09 08:00',
@Interval INT = 60, -- INTERVAL IN MINUTES
@IntervalCount INT = 3; -- NUMBER OF INTERVALS TO SHOW
WITH N1 AS (SELECT N FROM (VALUES (1),(1),(1),(1),(1),(1),(1),(1),(1),(1)) t (N)),
N2 (N) AS (SELECT 1 FROM N1 AS N1 CROSS JOIN N1 AS N2),
Numbers (N) AS (SELECT ROW_NUMBER() OVER(ORDER BY N1.N) FROM N2 AS N1 CROSS JOIN N2 AS N2)
SELECT TOP (@IntervalCount)
Interval = DATEADD(MINUTE, (N - 1) * @Interval, @Start)
FROM Numbers;
最后,您可以将此LEFT JOIN连接到您的数据,以获得每个间隔的最小值和最大值
DECLARE @Start DATETIME2 = '2015-01-09 08:00',
@Interval INT = 60, -- INTERVAL IN MINUTES
@IntervalCount INT = 3; -- NUMBER OF INTERVALS TO SHOW
WITH N1 AS (SELECT N FROM (VALUES (1),(1),(1),(1),(1),(1),(1),(1),(1),(1)) t (N)),
N2 (N) AS (SELECT 1 FROM N1 AS N1 CROSS JOIN N1 AS N2),
Numbers (N) AS (SELECT ROW_NUMBER() OVER(ORDER BY N1.N) FROM N2 AS N1 CROSS JOIN N2 AS N2),
Intervals AS
( SELECT TOP (@IntervalCount)
IntervalStart = DATEADD(MINUTE, (N - 1) * @Interval, @Start),
IntervalEnd = DATEADD(MINUTE, N * @Interval, @Start)
FROM Numbers AS n
)
SELECT i.IntervalStart,
MinVal = MIN(t.Value),
MaxVal = MAX(t.Value),
Difference = ISNULL(MAX(t.Value) - MIN(t.Value), 0)
FROM Intervals AS i
LEFT JOIN T AS t
ON t.timestamp >= i.IntervalStart
AND t.timestamp < i.IntervalEnd
GROUP BY i.IntervalStart;
如果您的值可以在inverval中上下移动,那么您将需要使用排名函数来获取每小时的第一个和最后一个记录,而不是最小值和最大值:
DECLARE @Start DATETIME2 = '2015-01-09 08:00',
@Interval INT = 60, -- INTERVAL IN MINUTES
@IntervalCount INT = 3; -- NUMBER OF INTERVALS TO SHOW
WITH N1 AS (SELECT N FROM (VALUES (1),(1),(1),(1),(1),(1),(1),(1),(1),(1)) t (N)),
N2 (N) AS (SELECT 1 FROM N1 AS N1 CROSS JOIN N1 AS N2),
Numbers (N) AS (SELECT ROW_NUMBER() OVER(ORDER BY N1.N) FROM N2 AS N1 CROSS JOIN N2 AS N2),
Intervals AS
( SELECT TOP (@IntervalCount)
IntervalStart = DATEADD(MINUTE, (N - 1) * @Interval, @Start),
IntervalEnd = DATEADD(MINUTE, N * @Interval, @Start)
FROM Numbers AS n
), RankedData AS
( SELECT i.IntervalStart,
t.Value,
t.timestamp,
RowNum = ROW_NUMBER() OVER(PARTITION BY i.IntervalStart ORDER BY t.timestamp),
TotalRows = COUNT(*) OVER(PARTITION BY i.IntervalStart)
FROM Intervals AS i
LEFT JOIN T AS t
ON t.timestamp >= i.IntervalStart
AND t.timestamp < i.IntervalEnd
)
SELECT r.IntervalStart,
Difference = ISNULL(MAX(CASE WHEN RowNum = TotalRows THEN r.Value END) -
MAX(CASE WHEN RowNum = 1 THEN r.Value END), 0)
FROM RankedData AS r
WHERE RowNum = 1
OR TotalRows = RowNum
GROUP BY r.IntervalStart;
关于SQL小提琴的示例,间隔为1小时
关于SQL小提琴的示例,间隔为15分钟
有关1天间隔的SQL小提琴示例
编辑
正如评论中所指出的,上述解决方案都没有考虑到超过期限的预付款,下面将说明这一点:
DECLARE @Start DATETIME2 = '2015-01-09 08:25',
@Interval INT = 5, -- INTERVAL IN MINUTES
@IntervalCount INT = 18; -- NUMBER OF INTERVALS TO SHOW
WITH N1 AS (SELECT N FROM (VALUES (1),(1),(1),(1),(1),(1),(1),(1),(1),(1)) t (N)),
N2 (N) AS (SELECT 1 FROM N1 AS N1 CROSS JOIN N1 AS N2),
Numbers (N) AS (SELECT ROW_NUMBER() OVER(ORDER BY N1.N) FROM N2 AS N1 CROSS JOIN N2 AS N2),
Intervals AS
( SELECT TOP (@IntervalCount)
IntervalStart = DATEADD(MINUTE, (N - 1) * @Interval, @Start),
IntervalEnd = DATEADD(MINUTE, (N - 0) * @Interval, @Start)
FROM Numbers AS n
), LeadData AS
( SELECT T.timestamp,
T.Value,
NextValue = nxt.value,
AdvanceRate = ISNULL(1.0 * (nxt.Value - T.Value) / DATEDIFF(SECOND, T.timestamp, nxt.timestamp), 0),
NextTimestamp = nxt.timestamp
FROM T AS T
OUTER APPLY
( SELECT TOP 1 T2.timestamp, T2.value
FROM T AS T2
WHERE T2.timestamp > T.timestamp
ORDER BY T2.timestamp
) AS nxt
)
SELECT i.IntervalStart,
Advance = CAST(ISNULL(SUM(DATEDIFF(SECOND, d.StartTime, d.EndTime) * t.AdvanceRate), 0) AS DECIMAL(10, 4))
FROM Intervals AS i
LEFT JOIN LeadData AS t
ON t.NextTimestamp >= i.IntervalStart
AND t.timestamp < i.IntervalEnd
OUTER APPLY
( SELECT CASE WHEN t.timestamp > i.IntervalStart THEN t.timestamp ELSE i.IntervalStart END,
CASE WHEN t.NextTimestamp < i.IntervalEnd THEN t.NextTimestamp ELSE i.IntervalEnd END
) AS d (StartTime, EndTime)
GROUP BY i.IntervalStart;
一种快速的方法是从TimeStamp获得日期+小时,而不是GROUP BY,并且功耗值将是MAX(值) - MIN(值)。您可以通过其他方式操作TimeStamp以获得不同的间隔,此示例仅适用于每小时消耗。
SELECT
CONVERT(datetime, CONVERT(varchar(10), TimeStamp, 120) + ' ' + CONVERT(varchar(2), DATEPART(hour, TimeStamp)) + ':00:00'),
MAX(Value) - MIN(Value) AS Value
FROM [Table]
GROUP BY CONVERT(datetime, CONVERT(varchar(10), TimeStamp, 120) + ' ' + CONVERT(varchar(2), DATEPART(hour, TimeStamp)) + ':00:00')