如何按使用 Windows 功能进行付款的每个部分的最短日期对付款的每个部分进行分组

Question

我有存储付款更改记录的表。 因此，每次更改付款方式时，都会存储使用的付款方式和日期。数据是批量来的，但我只获取使用新付款的第一个日期。

CREATE TABLE #payments 
(
    pay_ID uniqueidentifier, 
    pay_type int, 
    pay_account varchar(max), 
    pay_routing varchar(max),  
    pay_date datetime
);

DECLARE @payID uniqueidentifier = newid();

--Actual payments made
INSERT INTO #payments (pay_ID, pay_type, pay_account, pay_routing, pay_date) VALUES
(@payID, 1, 'e121', '0101', '09/18/2020'),
(@payID, 1, 'e121', '0101', '09/19/2020'),
(@payID, 1, 'e121', '0101', '09/20/2020'),
(@payID, 2, 'e122', '0102', '09/21/2020'),
(@payID, 2, 'e122', '0102', '09/22/2020'),
(@payID, 1, 'e121', '0101', '09/23/2020'),
(@payID, 1, 'e121', '0101', '09/24/2020'),
(@payID, 1, 'e121', '0101', '09/25/2020'),
(@payID, 2, 'e122', '0102', '09/26/2020'),
(@payID, 2, 'e122', '0102', '09/27/2020'),
(@payID, 3, 'e123', '0103', '09/28/2020'),
(@payID, 1, 'e121', '0101', '09/29/2020'),
(@payID, 1, 'e121', '0101', '09/30/2020'),
(@payID, 1, 'e121', '0101', '10/01/2020'),
(@payID, 1, 'e121', '0101', '10/02/2020')


SELECT * 
FROM #payments 
ORDER BY pay_ID ASC, pay_date ASC;

此代码可用于为每次更改的付款创建一个集合，但我不确定如何获取开始和结束日期。

SELECT
    p.*
FROM
    (SELECT
         p.*,
         LAG(pay_date) OVER (PARTITION BY pay_id, ORDER BY pay_date) AS prev_pd,
         LAG(pay_date) OVER (PARTITION BY pay_id, pay_account, pay_type, pay_routing ORDER BY pay_date) AS prev_pd_grp
     FROM
         #payments p) p
WHERE 
    prev_pd_grp IS NULL OR prev_pd_grp <> prev_pd

希望的结果是，第一笔付款在付款更改的每个部分的开始和结束日期都有一个印章。

ID                                  PayType account routing       CreatedDate       start   end
FB4FE2A7-3609-4E35-AFB9-908B2D3072E9    1   e121    0101    2020-09-18 00:00:00.000 2020-09-18 00:00:00.000 2020-09-20 00:00:00.000 
FB4FE2A7-3609-4E35-AFB9-908B2D3072E9    1   e121    0101    2020-09-19 00:00:00.000 NULL    NULL
FB4FE2A7-3609-4E35-AFB9-908B2D3072E9    1   e121    0101    2020-09-20 00:00:00.000 NULL    NULL
FB4FE2A7-3609-4E35-AFB9-908B2D3072E9    2   e122    0102    2020-09-21 00:00:00.000 2020-09-21 00:00:00.000 2020-09-22 00:00:00.000 
FB4FE2A7-3609-4E35-AFB9-908B2D3072E9    2   e122    0102    2020-09-22 00:00:00.000 NULL    NULL
FB4FE2A7-3609-4E35-AFB9-908B2D3072E9    1   e121    0101    2020-09-23 00:00:00.000 2020-09-23 00:00:00.000 2020-09-25 00:00:00.000
FB4FE2A7-3609-4E35-AFB9-908B2D3072E9    1   e121    0101    2020-09-24 00:00:00.000 NULL    NULL
FB4FE2A7-3609-4E35-AFB9-908B2D3072E9    1   e121    0101    2020-09-25 00:00:00.000 NULL    NULL
FB4FE2A7-3609-4E35-AFB9-908B2D3072E9    2   e122    0102    2020-09-26 00:00:00.000 2020-09-26 00:00:00.000 2020-09-27 00:00:00.000
FB4FE2A7-3609-4E35-AFB9-908B2D3072E9    2   e122    0102    2020-09-27 00:00:00.000 NULL    NULL
FB4FE2A7-3609-4E35-AFB9-908B2D3072E9    3   e123    0103    2020-09-28 00:00:00.000 2020-09-28 00:00:00.000 2020-09-28 00:00:00.000 
FB4FE2A7-3609-4E35-AFB9-908B2D3072E9    1   e121    0101    2020-09-29 00:00:00.000 2020-09-29 00:00:00.000 2020-10-02 00:00:00.000 
FB4FE2A7-3609-4E35-AFB9-908B2D3072E9    1   e121    0101    2020-09-30 00:00:00.000 NULL    NULL
FB4FE2A7-3609-4E35-AFB9-908B2D3072E9    1   e121    0101    2020-10-01 00:00:00.000 NULL    NULL
FB4FE2A7-3609-4E35-AFB9-908B2D3072E9    1   e121    0101    2020-10-02 00:00:00.000 NULL    NULL

Answer 1

这是一个孤岛问题。这是一种使用行号之间的差异来识别组的方法。然后，您可以在外部查询中再次使用row_number() 来识别每个组的第一条记录，并使用窗口min() 和max() 来显示相应的日期范围：

select pay_id, pay_type, pay_account, pay_routing, pay_date,
    case when row_number() over(partition by pay_id, pay_type, rn1 - rn2 order by pay_date) = 1
        then min(pay_date) over(partition by pay_id, pay_type, rn1 - rn2)
    end as pay_date_start,
    case when row_number() over(partition by pay_id, pay_type, rn1 - rn2 order by pay_date) = 1
        then max(pay_date) over(partition by pay_id, pay_type, rn1 - rn2)
    end as pay_date_end
from (
    select p.*,
        row_number() over(partition by pay_id order by pay_date) rn1,
        row_number() over(partition by pay_id, pay_type order by pay_date) rn2
    from #payments p
) p
order by pay_id, pay_date

Demo on DB Fiddle：

pay_id |支付类型 |支付帐户 |支付路由 |付款日期 | pay_date_start | pay_date_end :------------------------------------------------ | --------: | :------------ | :------------ | :------------------------ | :------------------------ | :------------------------ 2c1a463f-198b-41bd-a1a4-30aafda21d4f | 1 | e121 | 0101 | 2020-09-18 00:00:00.000 | 2020-09-18 00:00:00.000 | 2020-09-20 00:00:00.000 2c1a463f-198b-41bd-a1a4-30aafda21d4f | 1 | e121 | 0101 | 2020-09-19 00:00:00.000 | 空 | 空 2c1a463f-198b-41bd-a1a4-30aafda21d4f | 1 | e121 | 0101 | 2020-09-20 00:00:00.000 | 空 | 空 2c1a463f-198b-41bd-a1a4-30aafda21d4f | 2 | e122 | 0102 | 2020-09-21 00:00:00.000 | 2020-09-21 00:00:00.000 | 2020-09-22 00:00:00.000 2c1a463f-198b-41bd-a1a4-30aafda21d4f | 2 | e122 | 0102 | 2020-09-22 00:00:00.000 | 空 | 空 2c1a463f-198b-41bd-a1a4-30aafda21d4f | 1 | e121 | 0101 | 2020-09-23 00:00:00.000 | 2020-09-23 00:00:00.000 | 2020-09-25 00:00:00.000 2c1a463f-198b-41bd-a1a4-30aafda21d4f | 1 | e121 | 0101 | 2020-09-24 00:00:00.000 | 空 | 空 2c1a463f-198b-41bd-a1a4-30aafda21d4f | 1 | e121 | 0101 | 2020-09-25 00:00:00.000 | 空 | 空 2c1a463f-198b-41bd-a1a4-30aafda21d4f | 2 | e122 | 0102 | 2020-09-26 00:00:00.000 | 2020-09-26 00:00:00.000 | 2020-09-27 00:00:00.000 2c1a463f-198b-41bd-a1a4-30aafda21d4f | 2 | e122 | 0102 | 2020-09-27 00:00:00.000 | 空 | 空 2c1a463f-198b-41bd-a1a4-30aafda21d4f | 3 | e123 | 0103 | 2020-09-28 00:00:00.000 | 2020-09-28 00:00:00.000 | 2020-09-28 00:00:00.000 2c1a463f-198b-41bd-a1a4-30aafda21d4f | 1 | e121 | 0101 | 2020-09-29 00:00:00.000 | 2020-09-29 00:00:00.000 | 2020-10-02 00:00:00.000 2c1a463f-198b-41bd-a1a4-30aafda21d4f | 1 | e121 | 0101 | 2020-09-30 00:00:00.000 | 空 | 空 2c1a463f-198b-41bd-a1a4-30aafda21d4f | 1 | e121 | 0101 | 2020-10-01 00:00:00.000 | 空 | 空 2c1a463f-198b-41bd-a1a4-30aafda21d4f | 1 | e121 | 0101 | 2020-10-02 00:00:00.000 | 空 | 空