我需要按季度的天数填充列。期限约为10年。表的结构如下。谢谢你的建议
SELECT StartDate, EndDate
INTO #tmp_RTX
FROM DateTable
StartDate EndDate
-------------------------------------------------
2015-11-01 00:00:00.000 2018-06-01 00:00:00.000
2017-09-02 00:00:00.000 2021-12-02 00:00:00.000
2016-01-02 00:00:00.000 2019-01-02 00:00:00.000
.
.
.
2018-10-26 00:00:00.000 2020-10-26 00:00:00.000
INSERT INTO DWHMart.[RTX].[RoadTax]
( ,[NuberOfaDaysInQuarter1]
,[NuberOfaDaysInQuarter2]
,[NuberOfaDaysInQuarter3]
,[NuberOfaDaysInOctoberNovember]
,[NuberOfaDaysInDecember]
,[NuberOfaDaysInTotal])
SELECT
,[NuberOfaDaysInQuarter1] = NuberOfaDaysInQuarter1
,[NuberOfaDaysInQuarter2] = NuberOfaDaysInQuarter2
,[NuberOfaDaysInQuarter3] = NuberOfaDaysInQuarter3
,[NuberOfaDaysInOctoberNovember] = NuberOfaDaysInOctoberNovember
,[NuberOfaDaysInDecember] = NuberOfaDaysInDecember
,[NuberOfaDaysInTotal] = DATEDIFF(DAY, StartDate, EndDate)
FROM #tmp_RTX
预期结果：
StartDate EndDate NuberOfaDaysInQuarter1 ..
2015-11-01 00:00:00.000 2018-06-01 00:00:00.000 .
2017-09-02 00:00:00.000 2021-12-02 00:00:00.000 .
2016-01-02 00:00:00.000 2019-01-02 00:00:00.000 .
. .
. .
. .
2018-10-26 00:00:00.000 2020-10-26 00:00:00.000 .
答案 0 :(得分：0)
除the年外，每季度的天数始终相同。因此，可以将常量表达式用于Q2..Q4，并将参数化的值用于Q1。
DECLARE @my_date date = '2017-01-01';
SELECT 89 + ISDATE(CAST(@my_date AS char(4)) + '0229') AS NuberOfaDaysInQuarter1,
90 AS NuberOfaDaysInQuarter2,
91 AS NuberOfaDaysInQuarter3,
91 AS NuberOfaDaysInQuarter4
更新的解决方案（按季度累计天数）
DECLARE @start_date date = '2000-01-01';
DECLARE @quarters TABLE (start_date date, end_date date, num int);
-- Create quarter calendar from @start_date
WITH nums (n) AS
(
SELECT TOP 100 (ROW_NUMBER() OVER (ORDER BY (SELECT 1)) - 1) * 3
FROM sys.columns sc1 CROSS JOIN sys.columns sc2
),
calendar AS
(
SELECT n, DATEADD(month, n, @start_date) AS start_date
FROM nums
)
INSERT INTO @quarters
SELECT start_date,
DATEADD(day, -1, DATEADD(month, 3, start_date)) AS end_date,
((n / 3) % 4) + 1 AS num
FROM calendar;
-- test data
DECLARE @t TABLE (start_date date, end_date date);
INSERT INTO @t VALUES
('2015-11-01', '2018-06-01'),
('2017-09-02', '2021-12-02'),
('2016-01-02', '2019-01-02');
-- Calculations
WITH inner_counts AS (
SELECT t.start_date, t.end_date, q.num,
SUM(datediff(day, q.start_date, q.end_date)) AS days_count
FROM @t t INNER JOIN @quarters q ON q.start_date > t.start_date AND q.start_date < t.end_date
GROUP BY t.start_date, t.end_date, q.num
),
outer_counts1 AS (
SELECT t.start_date, t.end_date, q.num,
SUM(datediff(day, t.start_date, q.end_date)) AS days_count
FROM @t t INNER JOIN @quarters q ON q.end_date = (SELECT MIN(end_date) FROM @quarters q WHERE q.end_date >= t.start_date)
GROUP BY t.start_date, t.end_date, q.num
),
outer_counts2 AS (
SELECT t.start_date, t.end_date, q.num,
SUM(datediff(day, q.start_date, t.end_date)) AS days_count
FROM @t t INNER JOIN @quarters q ON q.start_date = (SELECT MAX(start_date) FROM @quarters q WHERE q.start_date <= t.end_date)
GROUP BY t.start_date, t.end_date, q.num
),
total_counts AS (
SELECT start_date, end_date, num, SUM(days_count) AS days_count
FROM (SELECT * FROM inner_counts
UNION ALL
SELECT * FROM outer_counts1
UNION ALL
SELECT * FROM outer_counts2) c
GROUP BY start_date, end_date, num
)
SELECT start_date, end_date,
SUM(CASE WHEN num = 1 THEN days_count ELSE 0 END) AS days_in_Q1,
SUM(CASE WHEN num = 2 THEN days_count ELSE 0 END) AS days_in_Q2,
SUM(CASE WHEN num = 3 THEN days_count ELSE 0 END) AS days_in_Q3,
SUM(CASE WHEN num = 4 THEN days_count ELSE 0 END) AS days_in_Q4
FROM total_counts
GROUP BY start_date, end_date
结果
start_date end_date days_in_Q1 days_in_Q2 days_in_Q3 days_in_Q4
---------- ---------- ----------- ----------- ----------- -----------
2015-11-01 2018-06-01 268 331 182 242
2016-01-02 2019-01-02 357 270 273 273
2017-09-02 2021-12-02 357 360 392 517
答案 1 :(得分：0)
我已经使用递归CTE制作了自己的动态天数表。
然后我按四分之一数计算出了您给定的每个范围内的天数
我对您的每一行都使用了CROSS JOIN，因为它们对于GROUP BY没有唯一的ID，但是在任何情况下都可以使用
;WITH RNG AS (SELECT cast(MIN(StartDate) as date) as MN,
cast(MAX (EndDate ) as date) MX FROM #tmp_RTX),
DATS AS (SELECT MN FROM RNG
UNION ALL
SELECT DATEADD(day,1,MN) FROM dats
WHERE dats.MN < (SELECT MX FROM RNG)
)
SELECT StartDate T1,
Enddate T1,
DQ.NuberOfaDaysInQuarter1 ,
DQ.NuberOfaDaysInQuarter2 ,
DQ.NuberOfaDaysInQuarter3 ,
DQ.NuberOfaDaysInQuarter4
FROM #tmp_RTX T1
CROSS APPLY (SELECT
SUM(CASE WHEN datepart(quarter ,MN) = 1 THEN 1 ELSE 0 END)
NuberOfaDaysInQuarter1,
SUM(CASE WHEN datepart(quarter ,MN) = 2 THEN 1 ELSE 0 END)
NuberOfaDaysInQuarter2,
SUM(CASE WHEN datepart(quarter ,MN) = 3 THEN 1 ELSE 0 END)
NuberOfaDaysInQuarter3,
SUM(CASE WHEN datepart(quarter ,MN) = 4 THEN 1 ELSE 0 END)
NuberOfaDaysInQuarter4
FROM DATS
WHERE MN BETWEEN
CAST(t1.startdate as date)
and
CAST(T1.EndDate as date)
) DQ
OPTION (maxrecursion 0);
以下是构建我的测试数据的依据（基于您的数据约定）
SELECT '20151101' StartDate, '20180601' EndDate
INTO #tmp_RTX
INSERT into #tmp_RTX values ('20161231','20180101');
INSERT into #tmp_RTX values ('20181231','20190101');
要处理最后一个季度的不同要求，请检查月份，而不是季度
;WITH RNG AS (SELECT cast(MIN(StartDate) as date) as MN,
cast(MAX (EndDate ) as date) MX FROM #tmp_RTX),
DATS AS (SELECT MN FROM RNG
UNION ALL
SELECT DATEADD(day,1,MN) FROM dats
WHERE dats.MN < (SELECT MX FROM RNG)
)
SELECT StartDate T1,
Enddate T1,
DQ.NuberOfaDaysInQuarter1 ,
DQ.NuberOfaDaysInQuarter2 ,
DQ.NuberOfaDaysInQuarter3 ,
DQ.NuberOfaDaysInOctoberNovember ,
DQ.NuberOfaDaysInDecember
FROM #tmp_RTX T1
CROSS APPLY (SELECT
SUM(CASE WHEN datepart(quarter ,MN) = 1 THEN 1 ELSE 0 END)
NuberOfaDaysInQuarter1,
SUM(CASE WHEN datepart(quarter ,MN) = 2 THEN 1 ELSE 0 END)
NuberOfaDaysInQuarter2,
SUM(CASE WHEN datepart(quarter ,MN) = 3 THEN 1 ELSE 0 END)
NuberOfaDaysInQuarter3,
SUM(CASE WHEN datepart(month ,MN) IN(10,11) THEN 1 ELSE 0 END)
NuberOfaDaysInOctoberNovember,
SUM(CASE WHEN datepart(month ,MN) IN(12) THEN 1 ELSE 0 END)
NuberOfaDaysInDecember
FROM DATS
WHERE MN BETWEEN
CAST(t1.startdate as date)
and
CAST(T1.EndDate as date)
) DQ
OPTION (maxrecursion 0)
答案 2 :(得分：0)
使用递归CTE（请确保将max recursion选项设置为需要循环处理的天数，或者在确定不存在无限循环后将其设置为0。）来生成介于max和min之间的所有天数在日期表中添加日期，然后将此结果与您的日期表（范围之间的日期）合并。在周期日期的年和季度上使用datepart，我们可以获得适当的季度/年，然后进行分组。
我并没有考虑结果。透视数据通常是一种显示功能，最好留给那些显示工具Crystal，BI等使用。它可以用SQL完成，在这种情况下，由于年份是动态的，因此需要动态SQL。我选择不走这条路，因为报表工具可以处理数据的动态性质。
WITH
DateTable as (SELECT cast('2015-11-01 00:00:00.000'as date) startdate, cast('2018-06-01 00:00:00.000'as date) endDate union all
SELECT '2017-09-02 00:00:00.000', '2021-12-02 00:00:00.000' union all
SELECT '2016-01-02 00:00:00.000', '2019-01-02 00:00:00.000'),
CTE AS (SELECT Min(StartDate) StartDate, max(EndDate) EndDate FROM DATETABLE),
CTE2 AS (SELECT C.StartDate as RangeStartDate
, C.EndDate as RangeEndDate
, 1 CycleCount
, datepart(Q,dateadd(d,0,C.StartDate)) as Quarter
, datepart(m,dateadd(d,0,C.StartDate)) as Month
, datepart(YYYY, dateadd(d,0,C.StartDate)) as Yr
, C.StartDate as CycleDate
FROM CTE C
UNION ALL
SELECT RangeStartDate, RangeEndDate, CycleCount+1
, datepart(Q,dateadd(d,1,CycleDate)) as Quarter
, datepart(m,dateadd(d,1,CycleDate)) as Month
, datepart(YYYY, dateadd(d,1,CycleDate)) as Yr
, dateadd(d,1,cycleDate) as CycleDate
FROM cte2
WHERE datediff(d,RangeStartDate, RangeEndDate) >= CycleCount
)
SELECT DT.StartDate
, DT.ENDDate
, concat(yr,'-',Quarter) [YYYY-Q]
, count(*) as DaysInQuarter
, sum(case when Month in (10,11) then 1 else 0 end)as OctNovDays
, sum(case when Month in (12) then 1 else 0 end)as DecDays
, datediff(d,StartDate, EndDate) as DaysTotal
FROM CTE2
INNER JOIN DateTable DT
on CTE2.CycleDate between DT.StartDate and DT.EndDate
GROUP BY Quarter,DT.StartDate, DT.EndDate, YR
ORDER BY DT.StartDate, DT.EndDate, YR, Quarter
OPTION (MAXRECURSION 10000)
给我们：
+----+---------------------+---------------------+--------+---------------+------------+---------+-----------+
| | StartDate | ENDDate | YYYY-Q | DaysInQuarter | OctNovDays | DecDays | DaysTotal |
+----+---------------------+---------------------+--------+---------------+------------+---------+-----------+
| 1 | 01.11.2015 00:00:00 | 01.06.2018 00:00:00 | 2015-4 | 61 | 30 | 31 | 943 |
| 2 | 01.11.2015 00:00:00 | 01.06.2018 00:00:00 | 2016-1 | 91 | 0 | 0 | 943 |
| 3 | 01.11.2015 00:00:00 | 01.06.2018 00:00:00 | 2016-2 | 91 | 0 | 0 | 943 |
| 4 | 01.11.2015 00:00:00 | 01.06.2018 00:00:00 | 2016-3 | 92 | 0 | 0 | 943 |
| 5 | 01.11.2015 00:00:00 | 01.06.2018 00:00:00 | 2016-4 | 92 | 61 | 31 | 943 |
| 6 | 01.11.2015 00:00:00 | 01.06.2018 00:00:00 | 2017-1 | 90 | 0 | 0 | 943 |
| 7 | 01.11.2015 00:00:00 | 01.06.2018 00:00:00 | 2017-2 | 91 | 0 | 0 | 943 |
| 8 | 01.11.2015 00:00:00 | 01.06.2018 00:00:00 | 2017-3 | 92 | 0 | 0 | 943 |
| 9 | 01.11.2015 00:00:00 | 01.06.2018 00:00:00 | 2017-4 | 92 | 61 | 31 | 943 |
| 10 | 01.11.2015 00:00:00 | 01.06.2018 00:00:00 | 2018-1 | 90 | 0 | 0 | 943 |
| 11 | 01.11.2015 00:00:00 | 01.06.2018 00:00:00 | 2018-2 | 62 | 0 | 0 | 943 |
| 12 | 02.01.2016 00:00:00 | 02.01.2019 00:00:00 | 2016-1 | 90 | 0 | 0 | 1096 |
| 13 | 02.01.2016 00:00:00 | 02.01.2019 00:00:00 | 2016-2 | 91 | 0 | 0 | 1096 |
| 14 | 02.01.2016 00:00:00 | 02.01.2019 00:00:00 | 2016-3 | 92 | 0 | 0 | 1096 |
| 15 | 02.01.2016 00:00:00 | 02.01.2019 00:00:00 | 2016-4 | 92 | 61 | 31 | 1096 |
| 16 | 02.01.2016 00:00:00 | 02.01.2019 00:00:00 | 2017-1 | 90 | 0 | 0 | 1096 |
| 17 | 02.01.2016 00:00:00 | 02.01.2019 00:00:00 | 2017-2 | 91 | 0 | 0 | 1096 |
| 18 | 02.01.2016 00:00:00 | 02.01.2019 00:00:00 | 2017-3 | 92 | 0 | 0 | 1096 |
| 19 | 02.01.2016 00:00:00 | 02.01.2019 00:00:00 | 2017-4 | 92 | 61 | 31 | 1096 |
| 20 | 02.01.2016 00:00:00 | 02.01.2019 00:00:00 | 2018-1 | 90 | 0 | 0 | 1096 |
| 21 | 02.01.2016 00:00:00 | 02.01.2019 00:00:00 | 2018-2 | 91 | 0 | 0 | 1096 |
| 22 | 02.01.2016 00:00:00 | 02.01.2019 00:00:00 | 2018-3 | 92 | 0 | 0 | 1096 |
| 23 | 02.01.2016 00:00:00 | 02.01.2019 00:00:00 | 2018-4 | 92 | 61 | 31 | 1096 |
| 24 | 02.01.2016 00:00:00 | 02.01.2019 00:00:00 | 2019-1 | 2 | 0 | 0 | 1096 |
| 25 | 02.09.2017 00:00:00 | 02.12.2021 00:00:00 | 2017-3 | 29 | 0 | 0 | 1552 |
| 26 | 02.09.2017 00:00:00 | 02.12.2021 00:00:00 | 2017-4 | 92 | 61 | 31 | 1552 |
| 27 | 02.09.2017 00:00:00 | 02.12.2021 00:00:00 | 2018-1 | 90 | 0 | 0 | 1552 |
| 28 | 02.09.2017 00:00:00 | 02.12.2021 00:00:00 | 2018-2 | 91 | 0 | 0 | 1552 |
| 29 | 02.09.2017 00:00:00 | 02.12.2021 00:00:00 | 2018-3 | 92 | 0 | 0 | 1552 |
| 30 | 02.09.2017 00:00:00 | 02.12.2021 00:00:00 | 2018-4 | 92 | 61 | 31 | 1552 |
| 31 | 02.09.2017 00:00:00 | 02.12.2021 00:00:00 | 2019-1 | 90 | 0 | 0 | 1552 |
| 32 | 02.09.2017 00:00:00 | 02.12.2021 00:00:00 | 2019-2 | 91 | 0 | 0 | 1552 |
| 33 | 02.09.2017 00:00:00 | 02.12.2021 00:00:00 | 2019-3 | 92 | 0 | 0 | 1552 |
| 34 | 02.09.2017 00:00:00 | 02.12.2021 00:00:00 | 2019-4 | 92 | 61 | 31 | 1552 |
| 35 | 02.09.2017 00:00:00 | 02.12.2021 00:00:00 | 2020-1 | 91 | 0 | 0 | 1552 |
| 36 | 02.09.2017 00:00:00 | 02.12.2021 00:00:00 | 2020-2 | 91 | 0 | 0 | 1552 |
| 37 | 02.09.2017 00:00:00 | 02.12.2021 00:00:00 | 2020-3 | 92 | 0 | 0 | 1552 |
| 38 | 02.09.2017 00:00:00 | 02.12.2021 00:00:00 | 2020-4 | 92 | 61 | 31 | 1552 |
| 39 | 02.09.2017 00:00:00 | 02.12.2021 00:00:00 | 2021-1 | 90 | 0 | 0 | 1552 |
| 40 | 02.09.2017 00:00:00 | 02.12.2021 00:00:00 | 2021-2 | 91 | 0 | 0 | 1552 |
| 41 | 02.09.2017 00:00:00 | 02.12.2021 00:00:00 | 2021-3 | 92 | 0 | 0 | 1552 |
| 42 | 02.09.2017 00:00:00 | 02.12.2021 00:00:00 | 2021-4 | 63 | 61 | 2 | 1552 |
+----+---------------------+---------------------+--------+---------------+------------+---------+-----------+