我有一个如下表。 我想要的是将彼此连续的行分组在一起-对于每个“ ID”。 IsContinued列标记下一行是否应与当前行合并
我的数据如下:
+-----+--------+-------------+-----------+----------+
| ID | Period | IsContinued | StartDate | EndDate |
+-----+--------+-------------+-----------+----------+
| 123 | 1 | 1 | 20180101 | 20180404 |
+-----+--------+-------------+-----------+----------+
| 123 | 2 | 1 | 20180501 | 20180910 |
+-----+--------+-------------+-----------+----------+
| 123 | 3 | 0 | 20181001 | 20181201 |
+-----+--------+-------------+-----------+----------+
| 123 | 4 | 1 | 20190105 | 20190228 |
+-----+--------+-------------+-----------+----------+
| 123 | 5 | 0 | 20190401 | 20190430 |
+-----+--------+-------------+-----------+----------+
| 456 | 2 | 1 | 20180201 | 20180215 |
+-----+--------+-------------+-----------+----------+
| 456 | 3 | 0 | 20180301 | 20180401 |
+-----+--------+-------------+-----------+----------+
| 456 | 4 | 0 | 20180501 | 20180530 |
+-----+--------+-------------+-----------+----------+
| 456 | 5 | 0 | 20180701 | 20180705 |
+-----+--------+-------------+-----------+----------+
我想要的最终结果是:
+-----+-------------+-----------+-----------+----------+
| ID | PeriodStart | PeriodEnd | StartDate | EndDate |
+-----+-------------+-----------+-----------+----------+
| 123 | 1 | 3 | 20180101 | 20181201 |
+-----+-------------+-----------+-----------+----------+
| 123 | 4 | 5 | 20190105 | 20190430 |
+-----+-------------+-----------+-----------+----------+
| 456 | 2 | 3 | 20180201 | 20180401 |
+-----+-------------+-----------+-----------+----------+
| 456 | 4 | 4 | 20180501 | 20180530 |
+-----+-------------+-----------+-----------+----------+
| 456 | 5 | 5 | 20180701 | 20180705 |
+-----+-------------+-----------+-----------+----------+
DDL语句:
CREATE TABLE #Period (ID INT, PeriodNr INT, IsContinued INT, STARTDATE DATE, ENDDATE DATE)
INSERT INTO #Period VALUES (123,1,1,'20180101', '20180404'),
(123,2,1,'20180501', '20180910'),
(123,3,0,'20181001', '20181201'),
(123,4,1,'20190105', '20190228'),
(123,5,0,'20190401', '20190430'),
(456,2,1,'20180201', '20180215'),
(456,3,0,'20180301', '20180401'),
(456,4,0,'20180501', '20180530'),
(456,5,0,'20180701', '20180705')
该代码应在SQL Server 2016上运行
谢谢!
答案 0 :(得分:4)
这是一种方法:
with removeFluff as
(
SELECT *
FROM (
SELECT ID, PeriodNr, IsContinued, STARTDATE, ENDDATE, LAG(IsContinued,1,2) OVER (PARTITION BY ID ORDER BY PERIODNR) Lag
FROM #Period
) A
WHERE (IsContinued <> Lag) OR (IsContinued + Lag = 0)
)
,getValues as
(
SELECT ID,
CASE WHEN LAG(IsContinued) OVER (PARTITION BY ID ORDER BY PeriodNr) = 1 THEN LAG(PeriodNr) OVER (PARTITION BY ID ORDER BY PeriodNr) ELSE PeriodNr END PeriodStart,
PeriodNr PeriodEnd,
CASE WHEN LAG(IsContinued) OVER (PARTITION BY ID ORDER BY PeriodNr) = 1 THEN LAG(STARTDATE) OVER (PARTITION BY ID ORDER BY PeriodNr) ELSE STARTDATE END StartDate,
EndDate,
IsContinued
FROM removeFluff r
)
SELECT ID, PeriodStart, PeriodEnd, StartDate, EndDate
FROM getValues
WHERE IsContinued = 0
输出:
ID PeriodStart PeriodEnd StartDate EndDate
123 1 3 2018-01-01 2018-12-01
123 4 5 2019-01-05 2019-04-30
456 2 3 2018-02-01 2018-04-01
456 4 4 2018-05-01 2018-05-30
456 5 5 2018-07-01 2018-07-05
方法:
removeFluff
cte删除不重要的行。这些是不会开始或结束细分的记录(示例数据中的第二行)LAG(IsContinued) ... = 0
),即。前一行已完成LAG(IsContinued) ... = 1
)的“开始”信息CASE
cte的getValues
表达式中应用了这两种情况IsContinued = 0
将结果缩小到最终选择中仅重要行。这是因为我们已经使用LAG
来获取“结束”数据行上的“开始”数据,所以我们只想选择结束行