我会尽力解释这个问题。
以下代码执行以下操作:
一旦有了这个,就会计算出"每日使用量"通过从一天的最小仪表读数减去一天的最大仪表读数。
(MAX(mr.Reading) - MIN(mr.Reading)) AS 'DaytimeUsage'
但是,我所缺少的是前一天的最大读数和当天的最小读数。在数学上,这看起来应该是这样的:
基本上,如果它可以追溯到5天,那么它应该按照以下内容执行:
服务地点|阅读日期|用法|
123 Main St | 2015年4月20日| 12 |
123 Main St | 4/19/15 | 8 |
123 Main St | 4/18/15 | 6 |
123 Main St | 4/17/15 | 10 |
123 Main St | 4/16/15 | 11 |
用法"用法"是' DaytimeUsage' +我失踪的用法(以及上面的问题)。例如,4/18/15将是' DaytimeUsage'在下面的查询PLUS中,从2015年4月17日读取MAX和从4/18/15读取MIN。
我不确定如何完成此操作或是否可行。
SELECT
A.ServiceAddress AS 'Service Address',
convert(VARCHAR(10),A.ReadDate,101) AS 'Date',
SUM(A.[DaytimeUsage]) AS 'Usage'
FROM
(
SELECT
sl.location_addr AS 'ServiceAddress',
convert(VARCHAR(10),mr.read_date,101) AS 'ReadDate',
(MAX(mr.Reading) - MIN(mr.Reading)) AS 'DaytimeUsage'
FROM
DimServiceLocation AS sl
INNER JOIN FactBill AS fb ON fb.ServiceLocationKey = sl.ServiceLocationKey
INNER JOIN FactMeterRead as mr ON mr.ServiceLocationKey = sl.ServiceLocationKey
INNER JOIN DimCustomer AS c ON c.CustomerKey = fb.CustomerKey
WHERE
c.class_name = 'Tenant'
AND sl.ServiceLocationKey = @ServiceLocation
AND mr.meter_type = @ServiceType
GROUP BY
sl.location_addr,
convert(VARCHAR(10),
mr.read_date,101)
) A
WHERE A.ReadDate >= GETDATE()-@Days
GROUP BY A.ServiceAddress, convert(VARCHAR(10),A.ReadDate,101)
ORDER BY convert(VARCHAR(10),A.ReadDate,101) DESC
答案 0 :(得分:1)
似乎你可以通过计算昨天的MAX和最大值之间的差异来解决这个问题。今天,不过这就是我接近它的方式。相对于任何给定日期,前一天再次加入同一个表格,并在内部查询中选择最大/最小值。此外,如果您将日期放在内部查询where子句中,您返回的数据集将更快更好。小。
SELECT
A.ServiceAddress AS 'Service Address',
convert(VARCHAR(10),A.ReadDate,101) AS 'Date',
SUM(A.[TodayMax]) - SUM(A.[TodayMin]) AS 'Usage',
SUM(A.[TodayMax]) - SUM(A.[YesterdayMax]) AS 'Usage with extra bit you want'
FROM
(
SELECT
sl.location_addr AS 'ServiceAddress',
convert(VARCHAR(10),mr.read_date,101) AS 'ReadDate',
MAX(mrT.Reading) AS 'TodayMax',
MIN(mrT.Reading) AS 'TodayMin',
MAX(mrY.Reading) AS 'YesterdayMax',
MIN(mrY.Reading) AS 'YesterdayMin',
FROM
DimServiceLocation AS sl
INNER JOIN FactBill AS fb ON fb.ServiceLocationKey = sl.ServiceLocationKey
INNER JOIN FactMeterRead as mrT ON mrT.ServiceLocationKey = sl.ServiceLocationKey
INNER JOIN FactMeterRead as mrY ON mrY.ServiceLocationKey = s1.ServiceLocationKey
AND mrY.read_date = mrT.read_date -1)
INNER JOIN DimCustomer AS c ON c.CustomerKey = fb.CustomerKey
WHERE
c.class_name = 'Tenant'
AND sl.ServiceLocationKey = @ServiceLocation
AND mr.meter_type = @ServiceType
AND convert(VARCHAR(10), mrT.read_date,101) >= GETDATE()-@Days
GROUP BY
sl.location_addr,
convert(VARCHAR(10),
mr.read_date,101)
) A
GROUP BY A.ServiceAddress, convert(VARCHAR(10),A.ReadDate,101)
ORDER BY convert(VARCHAR(10),A.ReadDate,101) DESC
答案 1 :(得分:0)
我不确定我是否完全理解你的数据库结构,但我可能有一个解决方案,所以随时编辑我的答案以适应或纠正任何错误。
这个想法是为表FactMeterRead使用两个别名。 mrY(Y as as yesterday)和mrT(T as Today)。并使用read_date限制区分它们。 但是我对你的表没有足够的理解来编写一个功能齐全的查询。我希望你能用这个例子得到这个想法。
SELECT
sl.location_addr AS 'ServiceAddress',
convert(VARCHAR(10),mrT.read_date,101) AS 'ReadDate',
(MAX(mrY.Reading) - MIN(mrT.Reading)) AS 'DaytimeUsage'
FROM
DimServiceLocation AS sl
INNER JOIN FactMeterRead as mrY ON mrY.ServiceLocationKey = sl.ServiceLocationKey
INNER JOIN FactMeterRead as mrT ON mrT.ServiceLocationKey = sl.ServiceLocationKey
WHERE mrY.read_date=DATE_SUB(mrT.read_date,1 DAY)
答案 2 :(得分:0)
如果您位于sql server 2005之上,则可以使用APPLY运算符。以下是文档的链接。 https://technet.microsoft.com/en-us/library/ms175156(v=sql.105).aspx APPLY操作有两种形式:OUTER APPLY AND CROSS APPLY - OUTER的工作方式类似于左连接,而CROSS的工作方式类似于内连接。它们允许您为返回的每一行运行一次查询。我设置了你自己想要做的样本,这是它,我希望它有所帮助。
http://sqlfiddle.com/#!6/fdb3f/1
CREATE TABLE SequencedValues (
Location varchar(50) NOT NULL,
CalendarDate datetime NOT NULL,
Reading int
)
INSERT INTO SequencedValues (
Location,
CalendarDate,
Reading
)
SELECT
'Address1',
'4/20/2015',
10
UNION SELECT
'Address1',
'4/19/2015',
9
UNION SELECT
'Address1',
'4/19/2015',
20
UNION SELECT
'Address1',
'4/19/2015',
25
UNION SELECT
'Address1',
'4/18/2015',
8
UNION SELECT
'Address1',
'4/17/2015',
7
UNION SELECT
'Address2',
'4/20/2015',
100
UNION SELECT
'Address2',
'4/20/2015',
111
UNION SELECT
'Address2',
'4/19/2015',
50
UNION SELECT
'Address2',
'4/19/2015',
65
SELECT DISTINCT
sv.Location,
sv.CalendarDate,
sv_dayof.MINDayOfReading,
sv_daybefore.MAXDayBeforeReading
FROM SequencedValues sv
OUTER APPLY (
SELECT MIN(sv_dayof_inside.Reading) AS MINDayOfReading
FROM SequencedValues sv_dayof_inside
WHERE sv.Location = sv_dayof_inside.Location
AND sv.CalendarDate = sv_dayof_inside.CalendarDate
) sv_dayof
OUTER APPLY (
SELECT MAX(sv_daybefore_max.Reading) AS MAXDayBeforeReading
FROM SequencedValues sv_daybefore_max
WHERE sv.Location = sv_daybefore_max.Location
AND sv_daybefore_max.CalendarDate IN (
SELECT TOP 1 sv_daybefore_inside.CalendarDate
FROM SequencedValues sv_daybefore_inside
WHERE sv.Location = sv_daybefore_inside.Location
AND sv.CalendarDate > sv_daybefore_inside.CalendarDate
ORDER BY sv_daybefore_inside.CalendarDate DESC
)
) sv_daybefore
ORDER BY
sv.Location,
sv.CalendarDate DESC