在SQL Server中具有条件的Lag()

use*_*586 12 sql-server lag lead

我有一个这样的表:

Number   Price    Type       Date         Time
------   -----    ----    ----------    ---------
23456    0,665     SV     2014/02/02     08:00:02
23457    1,3       EC     2014/02/02     07:50:45
23460    0,668     SV     2014/02/02     07:36:34
Run Code Online (Sandbox Code Playgroud)

对于每个EC,我需要上一个/下一个SV价格.在这种情况下,查询很简单.

Select Lag(price, 1, price) over (order by date desc, time desc),
Lead(price, 1, price) over (order by date desc, time desc)
from ITEMS
Run Code Online (Sandbox Code Playgroud)

但是,有一些特殊情况,其中两行或更多行是EC类型:

Number   Price    Type       Date         Time
------   -----    ----    ----------    ---------
23456    0,665     SV     2014/02/02     08:00:02
23457    1,3       EC     2014/02/02     07:50:45
23658    2,4       EC     2014/02/02     07:50:45
23660    2,4       EC     2014/02/02     07:50:48
23465    0,668     SV     2014/02/02     07:36:34 
Run Code Online (Sandbox Code Playgroud)

在这种情况下,我可以使用线索/滞后吗?如果没有,我是否必须使用子查询?

And*_*mar 10

你的问题(和Anon的优秀答案)是岛屿和差距的SQL的一部分.在这个答案中,我将尝试详细检查"row_number()magic".

我根据球赛中的事件做了一个简单的例子.对于每个活动,我们都要打印上一季度和下一季度相关的消息:

create table TestTable (id int identity, event varchar(64));
insert TestTable values
    ('Start of Q1'),
    ('Free kick'),
    ('Goal'),
    ('End of Q1'),
    ('Start of Q2'),
    ('Penalty'),
    ('Miss'),
    ('Yellow card'),
    ('End of Q2');
Run Code Online (Sandbox Code Playgroud)

这是一个显示"row_number()magic"方法的查询:

; with  grouped as
        (
        select  *
        ,       row_number() over (order by id) as rn1
        ,       row_number() over (
                    partition by case when event like '%of Q[1-4]' then 1 end 
                    order by id) as rn2
        from    TestTable
        )
,       order_in_group as
        (
        select  *
        ,       rn1-rn2 as group_nr
        ,       row_number() over (partition by rn1-rn2 order by id) as rank_asc
        ,       row_number() over (partition by rn1-rn2 order by id desc)
                    as rank_desc
        from    grouped
        )
select  *
,       lag(event, rank_asc) over (order by id) as last_event_of_prev_group
,       lead(event, rank_desc) over (order by id) as first_event_of_next_group
from    order_in_group
order by
        id
Run Code Online (Sandbox Code Playgroud)
  • 称为"分组"的第一个CTE计算两个row_number()s.第一个是1 2 3表格中的每一行.第二个row_number()位置在一个列表中暂停通知,在第二个列表中暂停其他事件.两者之间的差异rn1 - rn2对于游戏的每个部分都是独一无二的.检查示例输出中的差异很有帮助:它位于group_nr列中.你会看到每个值对应游戏的一个部分.
  • 称为"order_in_group"的第二个CTE确定当前行在其岛或间隙内的位置.对于具有3行的岛,位置是1 2 3升序和3 2 1降序.
  • 最后,我们知道足以说明lag()lead()跳多远.我们必须滞后rank_asc行才能找到上一节的最后一行.要查找下一部分的第一行,我们必须引导rank_desc行.

希望这有助于澄清峡谷和群岛的"魔力". 这是SQL Fiddle的一个工作示例.


Ano*_*non 5

是的,您可以使用LEAD/LAG.你只需要用一点ROW_NUMBER()魔法预先计算跳跃的距离.

DECLARE @a TABLE ( number int, price money, type varchar(2),
                   date date, time time)
INSERT @a VALUES
(23456,0.665,'SV','2014/02/02','08:00:02'),
(23457,1.3  ,'EC','2014/02/02','07:50:45'),
(23658,2.4  ,'EC','2014/02/02','07:50:45'),
(23660,2.4  ,'EC','2014/02/02','07:50:48'),
(23465,0.668,'SV','2014/02/02','07:36:34');

; WITH a AS (
     SELECT *,
            ROW_NUMBER() OVER(ORDER BY [date] DESC, [time] DESC) x, 
            ROW_NUMBER() OVER(PARTITION BY 
               CASE [type] WHEN 'SV' THEN 1 ELSE 0 END 
               ORDER BY [date] DESC, [time] DESC) y 
     FROM @a)
 , b AS (
     SELECT *,
            ROW_NUMBER() OVER(PARTITION BY x-y ORDER BY x ASC) z1,
            ROW_NUMBER() OVER(PARTITION BY x-y ORDER BY x DESC) z2 
     FROM a)
SELECT *,
       CASE [type] WHEN 'SV' THEN 
           LAG(price,z1,price) OVER(PARTITION BY [type] ORDER BY x) 
           ELSE LAG(price,z1,price) OVER(ORDER BY x) 
           END,
       CASE [type] WHEN 'SV' THEN 
           LEAD(price,z2,price) OVER(PARTITION BY [type] ORDER BY x) 
           ELSE LEAD(price,z2,price) OVER(ORDER BY x) 
           END
FROM b
ORDER BY x
Run Code Online (Sandbox Code Playgroud)