如何在 SQL Server 中获取最接近记录日期的日期



我有以下数据结构:

表 A

ID  |  RequestNumber  |  Date
----+-----------------+-----------
 1  |      1          | 2017/09/27
 2  |      1          | 2018/06/02

表 B

RequestNumber  |  Serial  |  Date
---------------+----------+-----------
     1         |    1     | 2017/09/27
     1         |    2     | 2017/09/27
     1         |    6     | 2018/06/03
     1         |    7     | 2018/06/03
     1         |    8     | 2018/06/03

正如我们所看到的,Table A第一行最近的日期是Table B中的 2017/09/27,距离第二行最近的日期是 2018/06/03 在Table B

所以。。。

我需要一个查询来让 Table A 的每一行都与最接近Table A记录的Table B的所有行(这意味着第一条记录应返回 2 条记录,第二条记录应返回 3 条记录)

预期结果将是:

ID  |  RequestNumber  |  Serial  |  Date
----+-----------------+----------+------------
 1  |      1          |    1     | 2017/09/27
 1  |      1          |    2     | 2017/09/27
 2  |      1          |    6     | 2018/06/03
 2  |      1          |    7     | 2018/06/03
 2  |      1          |    8     | 2018/06/03

提前致谢

此查询将执行您想要的操作。它将TableA连接到RequestNumber上的TableB,然后连接到 TableBTableA 之间的最小DATEDIFF值表,确保我们只得到结果中最接近的日期:

SELECT a.ID, a.RequestNumber, b.Serial, b.Date 
FROM TableA a
JOIN TableB b ON b.RequestNumber = a.RequestNumber
JOIN (SELECT a.ID AS ID, MIN(ABS(DATEDIFF(day, b.Date, a.Date))) AS days
      FROM TableA a
      JOIN TableB b ON b.RequestNumber = a.RequestNumber
      GROUP BY a.ID) c  ON c.ID = a.ID AND c.days = ABS(DATEDIFF(day, b.Date, a.Date))

输出:

ID  RequestNumber   Serial  Date
1   1               1       27/09/2017 09:30:00
1   1               2       27/09/2017 09:30:00
2   1               6       03/06/2018 09:30:00
2   1               7       03/06/2018 09:30:00
2   1               8       03/06/2018 09:30:00

在 dbfiddle 上演示

另一种可能的方法是使用 LEFT JOIN 和 DENSE_RANK()。我假设,你想要最近和大于日期:

CREATE TABLE #TableA (
   ID int,
   RequestNumber int,
   [Date] date
)
CREATE TABLE #TableB (
   RequestNumber int,
   Serial int,
   [Date] date
)
INSERT INTO #TableA (ID, RequestNumber, [Date])
VALUES
   (1, 1, '2017-09-27'),
   (2, 1, '2018-06-02')
INSERT INTO #TableB (RequestNumber, Serial, [Date])
VALUES
   (1, 1, '2017-09-27'),
   (1, 2, '2017-09-27'),
   (1, 6, '2018-06-03'),
   (1, 7, '2018-06-03'),
   (1, 8, '2018-06-03'),
   (1, 9, '2018-06-05'),
   (1, 10, '2018-06-07')
; WITH cte AS (
   SELECT 
      a.ID, 
      a.RequestNumber, 
      b.Serial, 
      b.[Date], 
      DENSE_RANK() OVER (PARTITION BY a.ID, a.RequestNumber ORDER BY a.ID, a.RequestNumber, b.[Date]) AS rn
   FROM #TableA a
   LEFT JOIN #TableB b ON (a.RequestNumber = b.RequestNumber) AND (a.[Date] <= b.[Date])
)
SELECT
      ID, 
      RequestNumber, 
      Serial, 
      [Date]
FROM cte
WHERE rn = 1
ORDER BY ID, RequestNumber

输出:

ID  RequestNumber   Serial  Date
1   1   1   27/09/2017 00:00:00
1   1   2   27/09/2017 00:00:00
2   1   6   03/06/2018 00:00:00
2   1   7   03/06/2018 00:00:00
2   1   8   03/06/2018 00:00:00

这将为您提供所需的内容,尽管我认为您实际上并没有为从所需输出中看到的日期正确指定较小的日期项。

    Select * from table B
       left join table A
         on 
       B.requestNumber=A.requestNumber
         and B.date >=A.Date;

这是使用横向连接(apply关键字)的好地方:

select a.*, b.*
from tablea a cross apply
     (select top (1) with ties b.*
      from tableb b
      order by abs(datediff(day, a.date, b.date))
     ) b;

这是一个数据库<>小提琴。

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