基于sql中引用列的日期计算

时间：2016-05-31 18:07:49

标签： sql sql-server tsql

它的关键......可能有人分享你的专业知识。

DDL： - 

CREATE TABLE mytable

(
SUPERID     INT,
DATE_RECORDED DATETIME2,
SUPPLIER_SKU VARCHAR (50),
PRICEINCVAT DECIMAL (14,4),
[DESC] VARCHAR (100),
FROM_DATE DATETIME2,
ACTIVE BIT

)

INSERT mytable

SELECT 1000001,   '2015-12-18 06:45:00.0000000',      '0 986 490 640',  '29.5400',      'CAPACITOR',      '2015-12-18 06:45:00.0000000',0 UNION ALL
SELECT 1000001,   '2015-12-18 06:45:00.0000000',      '2347402',  '32.6900',  'CAPACITOR',      '2015-12-18 06:45:00.0000000',      0 UNION ALL
SELECT 1000001,   '2015-12-18 06:45:00.0000000',      'FDB779',   '30.9200',  'CAPACITOR',      '2015-12-18 06:45:00.0000000',0 UNION ALL
SELECT 1000001,   '2015-12-18 06:45:00.0000000',      'GDB1577',  '29.3600',  'CAPACITOR',      '2015-12-18 06:45:00.0000000',0UNION ALL

SELECT 1000001,   '2016-03-03 02:22:00.0000000',      '0 986 490 640',      '29.5400','CAPACITOR','2016-03-03 02:22:00.0000000'   ,1UNION ALL
SELECT 1000001,   '2016-03-03 02:22:00.0000000',      '2347402',  '32.6900',  'CAPACITOR',      '2016-03-03 02:22:00.0000000',1UNION ALL
SELECT 1000001,   '2016-03-03 02:22:00.0000000',      'FDB779',   '30.1800',  'CAPACITOR',      '2016-03-03 02:22:00.0000000',1UNION ALL
SELECT 1000001,   '2016-03-03 02:22:00.0000000',      'GDB1577','29.3600',    'CAPACITOR',      '2016-03-03 02:22:00.0000000',1 UNION ALL


SELECT 1000017,   '2015-12-18 06:47:00.0000000',      'GDB1496',  '29.5400',  'CAPACITOR',      '2015-12-18 06:47:00.0000000',      0  UNION ALL
SELECT 1000017,   '2016-03-03 02:24:00.0000000',      'GDB1496',  '29.5400',  'CAPACITOR',      '2016-03-03 02:24:00.0000000',      1  UNION ALL
SELECT 1000653,   '3/8/2016  11:04:00 PM',      'FDB1751',  '29.5400',  'CAPACITOR',      '3/2/2016  11:04:00 PM',      1  UNION ALL
SELECT 1000653,   '12/12/2015  7:12:00 AM',     'FDB1751',  '29.5400',  'CAPACITOR',      '12/18/2015  7:12:00 AM',     0  UNION ALL

SELECT 1000653,  '2015-12-18 07:12:00.0000000','0 986 494 096','29.5400', 'CAPACITOR', '2015-12-18 07:12:00.0000000',0 UNION ALL
SELECT 1000653,  '2016-03-02 23:04:00.0000000', '0 986 494 096','29.5400', 'CAPACITOR', '2016-03-02 23:04:00.0000000',1 UNION ALL
SELECT 1000653,  '2016-03-02 23:04:00.0000000', '16531','29.5400', 'CAPACITOR', '2016-03-02 23:04:00.0000000',1 UNION ALL
SELECT 1000653,  '2015-12-18 07:12:00.0000000','2393501','29.5400', 'CAPACITOR','2015-12-18 07:12:00.0000000',0  UNION ALL
SELECT 1000653,  '2016-03-02 23:04:00.0000000', '2393501','29.5400', 'CAPACITOR','2016-03-02 23:04:00.0000000',1 UNION ALL
SELECT 1000653,  '2015-12-18 07:12:00.0000000','FDB1751','29.5400', 'CAPACITOR','2015-12-18 07:12:00.0000000',0 UNION ALL
SELECT 1000653,  '2016-03-02 23:04:00.0000000','FDB1751','29.5400', 'CAPACITOR','2016-03-02 23:04:00.0000000',1 UNION ALL
SELECT 1000653,  '2015-12-18 07:12:00.0000000','GDB1625','29.5400', 'CAPACITOR', '2015-12-18 07:12:00.0000000',0 UNION ALL
SELECT 1000653,  '2016-03-02 23:04:00.0000000','GDB1625','29.5400', 'CAPACITOR','2016-03-02 23:04:00.0000000',1 UNION ALL
SELECT 1000653,  '2015-12-18 07:12:00.0000000','LP1925','29.5400', 'CAPACITOR', '2015-12-18 07:12:00.0000000',1

我正在尝试计算TO_DATE的值，该值比FROM_DATE的SUPERID订单组FROM_DATE中可用的最高日期少1秒。其中ACTIVE COLUMN值为0.但在ACTIVE列= 1的情况下，那么它将是默认值（9999-12-31 00：00：00.0000000）

预期产出：

SUPERID DATE_RECORDED   SUPPLIER_SKU    PRICEINCVAT DESC    FROM_DATE   TO_DATE ACTIVE

1000001 2015-12-18 06:45:00.0000000 0 986 490 640   29.5400 CAPACITOR   2015-12-18 06:45:00.0000000 2016-03-03 02:21:59.0000000 0
1000001 2015-12-18 06:45:00.0000000 2347402 32.6900 CAPACITOR   2015-12-18 06:45:00.0000000 2016-03-03 02:21:59.0000000 0
1000001 2015-12-18 06:45:00.0000000 FDB779  30.9200 CAPACITOR   2015-12-18 06:45:00.0000000 2016-03-03 02:21:59.0000000 0
1000001 2015-12-18 06:45:00.0000000 GDB1577 29.3600 CAPACITOR   2015-12-18 06:45:00.0000000 2016-03-03 02:21:59.0000000 0
1000001 2016-03-03 02:22:00.0000000 0 986 490 640   29.5400 CAPACITOR   2016-03-03 02:22:00.0000000 9999-12-31 00:00:00.0000000 1
1000001 2016-03-03 02:22:00.0000000 2347402 32.6900 CAPACITOR   2016-03-03 02:22:00.0000000 9999-12-31 00:00:00.0000000 1
1000001 2016-03-03 02:22:00.0000000 FDB779  30.1800 CAPACITOR   2016-03-03 02:22:00.0000000 9999-12-31 00:00:00.0000000 1
1000001 2016-03-03 02:22:00.0000000 GDB1577 29.3600 CAPACITOR   2016-03-03 02:22:00.0000000 9999-12-31 00:00:00.0000000 1
1000017 2015-12-18 06:47:00.0000000 GDB1496 29.5400 CAPACITOR   2015-12-18 06:47:00.0000000 2016-03-03 02:23:59.0000000 0
1000017 2016-03-03 02:24:00.0000000 GDB1496 29.5400 CAPACITOR   2016-03-03 02:24:00.0000000 9999-12-31 00:00:00.0000000 1
1000653 2015-12-12 07:12:00.0000000 FDB1751 29.5400 CAPACITOR   2015-12-18 07:12:00.0000000 2016-03-02 23:04:00.0000000 0
1000653 2015-12-18 07:12:00.0000000 0 986 494 096   29.5400 CAPACITOR   2015-12-18 07:12:00.0000000 2016-03-02 23:04:00.0000000 0
1000653 2015-12-18 07:12:00.0000000 2393501 29.5400 CAPACITOR   2015-12-18 07:12:00.0000000 2016-03-02 23:04:00.0000000 0
1000653 2015-12-18 07:12:00.0000000 FDB1751 29.5400 CAPACITOR   2015-12-18 07:12:00.0000000 2016-03-02 23:04:00.0000000 0
1000653 2015-12-18 07:12:00.0000000 GDB1625 29.5400 CAPACITOR   2015-12-18 07:12:00.0000000 2016-03-02 23:04:00.0000000 0
1000653 2015-12-18 07:12:00.0000000 LP1925  29.5400 CAPACITOR   2015-12-18 07:12:00.0000000 9999-12-31 00:00:00.0000000 1
1000653 2016-03-02 23:04:00.0000000 GDB1625 29.5400 CAPACITOR   2016-03-02 23:04:00.0000000 9999-12-31 00:00:00.0000000 1
1000653 2016-03-02 23:04:00.0000000 FDB1751 29.5400 CAPACITOR   2016-03-02 23:04:00.0000000 9999-12-31 00:00:00.0000000 1
1000653 2016-03-02 23:04:00.0000000 2393501 29.5400 CAPACITOR   2016-03-02 23:04:00.0000000 9999-12-31 00:00:00.0000000 1
1000653 2016-03-02 23:04:00.0000000 0 986 494 096   29.5400 CAPACITOR   2016-03-02 23:04:00.0000000 9999-12-31 00:00:00.0000000 1
1000653 2016-03-02 23:04:00.0000000 16531   29.5400 CAPACITOR   2016-03-02 23:04:00.0000000 9999-12-31 00:00:00.0000000 1
1000653 2016-03-08 23:04:00.0000000 FDB1751 29.5400 CAPACITOR   2016-03-02 23:04:00.0000000 9999-12-31 00:00:00.0000000 1

代码我试过但没有给出正确的结果：

;WITH cte AS (
      SELECT *, ROW_NUMBER() OVER (PARTITION BY SUPERID ORDER BY FROM_DATE) as RN
      FROM mytable m
)
SELECT c.SUPERID, c.DATE_RECORDED, c.SUPPLIER_SKU, c.PRICEINCVAT, c.[DESC], c.FROM_DATE,   
      CASE
            WHEN c.ACTIVE = 0 THEN DATEADD(second, -1, c2.FROM_DATE)
            ELSE '9999-12-31'
      END as TO_DATE,
      c.ACTIVE
FROM cte c
LEFT JOIN cte c2 ON c.SUPERID = c2.SUPERID
                        AND c.RN = c2.RN - 1

如果有可能在SQL中请愿人分享。 感谢

2 个答案:

答案 0 :(得分：0)

我发现这个问题难以理解。但是，我期待这样的结构：

select m.*,
       dateadd(second, -1,
               max(from_date) over (partition by superid)
              ) as new_to_date
from mytable m;

我不知道row_number()如何适应逻辑。

答案 1 :(得分：0)

您应该可以使用OUTER APPLY来获取MAX（FROM_DATE） - 1秒。

SELECT  SUPERID,
        DATE_RECORDED,
        SUPPLIER_SKU,
        PRICEINCVAT,
        [DESC],
        FROM_DATE,
        CASE WHEN ACTIVE = 1 THEN '9999-12-31' ELSE TO_DATE END AS TO_DATE,
        ACTIVE
FROM    mytable mt
        OUTER APPLY (   SELECT  MAX(DATEADD(second, -1, FROM_DATE)) TO_DATE 
                        FROM    mytable mt2 
                        WHERE   mt2.SUPERID = mt.SUPERID 
                                AND mt2.SUPPLIER_SKU = mt.SUPPLIER_SKU 
                                AND mt2.From_DATE > mt.From_DATE  ) oa
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