使用日期范围的可能递归 CTE 查询
不知道如何表达这个标题!
我有以下数据:
IF OBJECT_ID ('tempdb..#data') IS NOT NULL DROP TABLE #data
CREATE TABLE #data
(
id UNIQUEIDENTIFIER
,reference NVARCHAR(30)
,start_date DATETIME
,end_date DATETIME
,lapse_date DATETIME
,value_received DECIMAL(18,3)
)
INSERT INTO #data VALUES ('BE91B9C1-C02F-46F7-9B63-4D0B25D9BA2F','168780','2006-05-01 00:00:00.000',NULL,'2011-09-27 00:00:00.000',537.42)
INSERT INTO #data VALUES ('B538F123-C839-447A-B300-5D16EACF4560','320858','2011-08-08 00:00:00.000',NULL,NULL,0)
INSERT INTO #data VALUES ('1922465D-2A55-434D-BAAA-8E15D681CF12','306597','2011-04-08 00:00:00.000','2011-06-22 13:14:40.083','2011-08-07 00:00:00.000',12)
INSERT INTO #data VALUES ('7DF8FBCC-B490-4892-BDC5-8FD2D73B0323','321461','2011-07-01 00:00:00.000',NULL,'2011-09-25 00:00:00.000',8.44)
INSERT INTO #data VALUES ('1EC2E754-F325-4313-BDFC-9010E255F6FE','74215','2000-10-31 00:00:00.000',NULL,'2011-08-30 00:00:00.000',258)
INSERT INTO #data VALUES ('9E59B09C-0198-48AC-8EEC-A0D76CEA9385','169194','2008-06-25 00:00:00.000',NULL,'2011-09-25 00:00:00.000',1766.4)
INSERT INTO #data VALUES ('97CF6C0F-324A-49A6-B9D8-AC848A1F821A','288039','2010-09-01 00:00:00.000','2011-07-29 00:00:00.000','2011-08-21 00:00:00.000',55)
INSERT INTO #data VALUES ('97CF6C0F-324A-49A6-B9D8-AC848A1F821A','324423','2011-08-01 00:00:00.000',NULL,'2011-09-25 00:00:00.000',5)
INSERT INTO #data VALUES ('D5E5197A-E8E1-468C-9991-C8712224C2BF','323395','2011-08-25 00:00:00.000',NULL,NULL,0)
INSERT INTO #data VALUES ('0EC4976C-16B9-4C99-BD07-D0CBDF014D32','323741','2011-08-25 00:00:00.000',NULL,NULL,0)
并且我希望能够根据以下条件将所有引用分组为“活动”、“已失效”或“新”类别:
Active
有一个开始日期小于参考月份的最后日期,失效日期在上个月最后一天之后,并且 value_received > 0;New
的开始日期在参考月份内;Lapsed
的失效日期在参考月份内。
然后将这些定义应用于滚动 13 个月的每个参考文献(从现在开始一直追溯到 2010 年 7 月),以便每个月我可以看到有多少参考文献属于每个组。
我可以使用以下内容来定义当前月份的值:
select
id
,reference
,start_date
,end_date
,lapse_date
,value_received
,CASE WHEN start_date < DATEADD(month,DATEPART(Month,GETDATE()) + 1,DATEADD(year,DATEPART(year,GETDATE())-1900,0)) --next month start date
AND lapse_date > DATEADD(ms,-3,DATEADD(mm,DATEDIFF(mm,0,GETDATE())+1,0)) --last day of current month
AND value_received > 0
THEN 'Active'
WHEN lapse_date < DATEADD(month,DATEPART(Month,GETDATE()) + 1,DATEADD(year,DATEPART(year,GETDATE())-1900,0)) --next month start
AND lapse_date > DATEADD(ms,-3,DATEADD(mm,DATEDIFF(mm,0,GETDATE()),0)) --last day of prior month
THEN 'lapse'
WHEN start_date < DATEADD(month,DATEPART(Month,GETDATE()) + 1,DATEADD(year,DATEPART(year,GETDATE())-1900,0)) --next month start date
AND start_date > DATEADD(ms,-3,DATEADD(mm,DATEDIFF(mm,0,GETDATE()),0)) --last day of prior month
THEN 'New'
ELSE 'Not applicable'
END AS [type]
from #data
但我看不到一种很好/有效的方法来执行此操作(除了重复此查询 13 次并合并结果之外,我知道这很糟糕)
这是否是使用当前月份作为锚点并使用递归的情况(如果是这样,一些指针将非常受欢迎)?
一如既往地感谢任何帮助:)
* 编辑以包括实际的解决方案 *
如果有人感兴趣,这是我使用的最终查询:
;WITH Months as
(
SELECT DATEADD(ms,-3,DATEADD(mm,DATEDIFF(mm,0,GETDATE())+1,0)) as month_end
,0 AS level
UNION ALL
SELECT DATEADD(month, -1, month_end)as month_end
,level + 1 FROM Months
WHERE level < 13
)
SELECT
DATENAME(Month,month_end) + ' ' + DATENAME(YEAR,month_end) as date
,SUM(CASE WHEN start_date <= month_end
AND Month(start_date) <> MONTH(Month_end)
AND lapse_date > Month_end
THEN 1 ELSE 0 END) AS Active
,SUM(CASE WHEN start_date <= Month_end
AND DATENAME(MONTH,start_date) + ' ' + DATENAME(YEAR,start_date) =
DATENAME(MONTH,month_end) + ' ' + DATENAME(YEAR,month_end)
THEN 1 ELSE 0 END) AS New
,SUM(CASE WHEN lapse_date <= Month_end
AND Month(lapse_date) = MONTH(Month_end)
THEN 1 ELSE 0 END) AS lapse
FROM #data
CROSS JOIN Months
WHERE id IS NOT NULL
AND start_date IS NOT NULL
GROUP BY DATENAME(Month,month_end) + ' ' + DATENAME(YEAR,month_end)
ORDER by MAX(level) ASC
Not sure how to even phrase the title on this one!
I have the following data:
IF OBJECT_ID ('tempdb..#data') IS NOT NULL DROP TABLE #data
CREATE TABLE #data
(
id UNIQUEIDENTIFIER
,reference NVARCHAR(30)
,start_date DATETIME
,end_date DATETIME
,lapse_date DATETIME
,value_received DECIMAL(18,3)
)
INSERT INTO #data VALUES ('BE91B9C1-C02F-46F7-9B63-4D0B25D9BA2F','168780','2006-05-01 00:00:00.000',NULL,'2011-09-27 00:00:00.000',537.42)
INSERT INTO #data VALUES ('B538F123-C839-447A-B300-5D16EACF4560','320858','2011-08-08 00:00:00.000',NULL,NULL,0)
INSERT INTO #data VALUES ('1922465D-2A55-434D-BAAA-8E15D681CF12','306597','2011-04-08 00:00:00.000','2011-06-22 13:14:40.083','2011-08-07 00:00:00.000',12)
INSERT INTO #data VALUES ('7DF8FBCC-B490-4892-BDC5-8FD2D73B0323','321461','2011-07-01 00:00:00.000',NULL,'2011-09-25 00:00:00.000',8.44)
INSERT INTO #data VALUES ('1EC2E754-F325-4313-BDFC-9010E255F6FE','74215','2000-10-31 00:00:00.000',NULL,'2011-08-30 00:00:00.000',258)
INSERT INTO #data VALUES ('9E59B09C-0198-48AC-8EEC-A0D76CEA9385','169194','2008-06-25 00:00:00.000',NULL,'2011-09-25 00:00:00.000',1766.4)
INSERT INTO #data VALUES ('97CF6C0F-324A-49A6-B9D8-AC848A1F821A','288039','2010-09-01 00:00:00.000','2011-07-29 00:00:00.000','2011-08-21 00:00:00.000',55)
INSERT INTO #data VALUES ('97CF6C0F-324A-49A6-B9D8-AC848A1F821A','324423','2011-08-01 00:00:00.000',NULL,'2011-09-25 00:00:00.000',5)
INSERT INTO #data VALUES ('D5E5197A-E8E1-468C-9991-C8712224C2BF','323395','2011-08-25 00:00:00.000',NULL,NULL,0)
INSERT INTO #data VALUES ('0EC4976C-16B9-4C99-BD07-D0CBDF014D32','323741','2011-08-25 00:00:00.000',NULL,NULL,0)
And I want to be able to group all references into a category of 'active', 'lapsed' or 'new' based upon the following criteria:
Active
has a start date that is less than the last date of the reference month, a lapse date after the last day of the prior month and a value_received > 0;New
has a start date which falls within the reference month;Lapsed
has a lapse date which falls within the reference month.
And to then apply these definitions for each reference for a rolling 13 months (so from Now going back as far as July 2010) so that for each month I can see how many references fall into each group.
I am able to use the following to define this for the current month:
select
id
,reference
,start_date
,end_date
,lapse_date
,value_received
,CASE WHEN start_date < DATEADD(month,DATEPART(Month,GETDATE()) + 1,DATEADD(year,DATEPART(year,GETDATE())-1900,0)) --next month start date
AND lapse_date > DATEADD(ms,-3,DATEADD(mm,DATEDIFF(mm,0,GETDATE())+1,0)) --last day of current month
AND value_received > 0
THEN 'Active'
WHEN lapse_date < DATEADD(month,DATEPART(Month,GETDATE()) + 1,DATEADD(year,DATEPART(year,GETDATE())-1900,0)) --next month start
AND lapse_date > DATEADD(ms,-3,DATEADD(mm,DATEDIFF(mm,0,GETDATE()),0)) --last day of prior month
THEN 'lapse'
WHEN start_date < DATEADD(month,DATEPART(Month,GETDATE()) + 1,DATEADD(year,DATEPART(year,GETDATE())-1900,0)) --next month start date
AND start_date > DATEADD(ms,-3,DATEADD(mm,DATEDIFF(mm,0,GETDATE()),0)) --last day of prior month
THEN 'New'
ELSE 'Not applicable'
END AS [type]
from #data
But I can't see a nice / efficient way of doing this (other than to repeat this query 13 times and union the results, which I know is just awful)
Would this be a case for using the current month as an anchor and using recursion (if so, some pointers would be most appreciated)?
Any help most appreciated as always :)
* Edited to include actual solution *
In case it's of interest to anyone, this is the final query I used:
;WITH Months as
(
SELECT DATEADD(ms,-3,DATEADD(mm,DATEDIFF(mm,0,GETDATE())+1,0)) as month_end
,0 AS level
UNION ALL
SELECT DATEADD(month, -1, month_end)as month_end
,level + 1 FROM Months
WHERE level < 13
)
SELECT
DATENAME(Month,month_end) + ' ' + DATENAME(YEAR,month_end) as date
,SUM(CASE WHEN start_date <= month_end
AND Month(start_date) <> MONTH(Month_end)
AND lapse_date > Month_end
THEN 1 ELSE 0 END) AS Active
,SUM(CASE WHEN start_date <= Month_end
AND DATENAME(MONTH,start_date) + ' ' + DATENAME(YEAR,start_date) =
DATENAME(MONTH,month_end) + ' ' + DATENAME(YEAR,month_end)
THEN 1 ELSE 0 END) AS New
,SUM(CASE WHEN lapse_date <= Month_end
AND Month(lapse_date) = MONTH(Month_end)
THEN 1 ELSE 0 END) AS lapse
FROM #data
CROSS JOIN Months
WHERE id IS NOT NULL
AND start_date IS NOT NULL
GROUP BY DATENAME(Month,month_end) + ' ' + DATENAME(YEAR,month_end)
ORDER by MAX(level) ASC
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评论(4)
这里不需要“真正的”递归 CTE。不过,您可以使用一个作为月份引用:
然后您可以在上述查询中
JOIN
来SELECT TOP 13 * FROM Months
。我不会尝试解析您的所有
CASE
语句,但本质上您可以在日期和MonthStart
字段上使用GROUP BY
,例如:GROUP BY Datepart(year,monthstart), Datepart(month,monthstart)
并按月聚合。将所有选项(活动的、已失效的等)作为列并使用
SUM(CASE WHEN ... THEN 1 ELSE 0 END)
计算每个选项可能是最简单的,因为使用它会更容易一个GROUP BY
。You don't need a "real" recursive CTE here. You can use one for the month references though:
Then you can
JOIN
toSELECT TOP 13 * FROM Months
in your above query.I'm not going to try to parse all your
CASE
statements, but essentially you can use aGROUP BY
on the date and theMonthStart
fields, like:GROUP BY Datepart(year, monthstart), Datepart(month, monthstart)
and aggregate by month. It will probably be easiest to have all your options (active, lapsed, etc) as columns and calculate each with a
SUM(CASE WHEN ... THEN 1 ELSE 0 END)
as it will be easier with aGROUP BY
.您可以将您的请求与递归 CTE 交叉连接,这是一个好主意。
You can cross join your request with a recursive CTE, this is a good idea.
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