我有以下内容。
Name Date
A 2011-01-01 01:00:00.000
A 2011-02-01 02:00:00.000
A 2011-03-01 03:00:00.000
B 2011-04-01 04:00:00.000
A 2011-05-01 07:00:00.000
所需的输出是
Name StartDate EndDate
-------------------------------------------------------------------
A 2011-01-01 01:00:00.000 2011-04-01 04:00:00.000
B 2011-04-01 04:00:00.000 2011-05-01 07:00:00.000
A 2011-05-01 07:00:00.000 NULL
如何在基于集合的方法中使用TSQL实现相同目的。
DDL与
相同DECLARE @t TABLE(PersonName VARCHAR(32), [Date] DATETIME)
INSERT INTO @t VALUES('A', '2011-01-01 01:00:00')
INSERT INTO @t VALUES('A', '2011-01-02 02:00:00')
INSERT INTO @t VALUES('A', '2011-01-03 03:00:00')
INSERT INTO @t VALUES('B', '2011-01-04 04:00:00')
INSERT INTO @t VALUES('A', '2011-01-05 07:00:00')
Select * from @t
答案 0 :(得分:7)
;WITH cte1
AS (SELECT *,
ROW_NUMBER() OVER (ORDER BY Date) -
ROW_NUMBER() OVER (PARTITION BY PersonName
ORDER BY Date) AS G
FROM @t),
cte2
AS (SELECT PersonName,
MIN([Date]) StartDate,
ROW_NUMBER() OVER (ORDER BY MIN([Date])) AS rn
FROM cte1
GROUP BY PersonName,
G)
SELECT a.PersonName,
a.StartDate,
b.StartDate AS EndDate
FROM cte2 a
LEFT JOIN cte2 b
ON a.rn + 1 = b.rn
因为CTE的结果通常没有实现 如果你实现了,你可能会发现你的表现会更好 中间结果如下。
DECLARE @t2 TABLE (
rn INT IDENTITY(1, 1) PRIMARY KEY,
PersonName VARCHAR(32),
StartDate DATETIME );
INSERT INTO @t2
SELECT PersonName,
MIN([Date]) StartDate
FROM (SELECT *,
ROW_NUMBER() OVER (ORDER BY Date) -
ROW_NUMBER() OVER (PARTITION BY PersonName
ORDER BY Date) AS G
FROM @t) t
GROUP BY PersonName,
G
ORDER BY StartDate
SELECT a.PersonName,
a.StartDate,
b.StartDate AS EndDate
FROM @t2 a
LEFT JOIN @t2 b
ON a.rn + 1 = b.rn
答案 1 :(得分:0)
cte的另一个答案是好的。另一种选择是在任何情况下迭代集合。它不是基于设置,但它是另一种方法。
您将需要迭代到A.为每个与其事务对应的记录分配一个唯一的ID,或B.实际获取您的输出。
TSQL不适合迭代记录,特别是如果你有很多,所以我会建议其他一些方法,一个小的.net程序或更好的迭代。答案 2 :(得分:0)
获取行号,以便了解上一条记录的位置。然后,记录下一条记录和下一条记录。当状态改变时,我们有一个候选行。
select
state,
min(start_timestamp),
max(end_timestamp)
from
(
select
first.state,
first.timestamp_ as start_timestamp,
second.timestamp_ as end_timestamp
from
(
select
*, row_number() over (order by timestamp_) as id
from test
) as first
left outer join
(
select
*, row_number() over (order by timestamp_) as id
from test
) as second
on
first.id = second.id - 1
and first.state != second.state
) as agg
group by state
having max(end_timestamp) is not null
union
-- last row wont have a ending row
--(select state, timestamp_, null from test order by timestamp_ desc limit 1)
-- I think it something like this for sql server
(select top state, timestamp_, null from test order by timestamp_ desc)
order by 2
;
使用PostgreSQL进行测试,但也应该与SQL Server一起使用
答案 3 :(得分:0)
SELECT
PersonName,
StartDate = MIN(Date),
EndDate
FROM (
SELECT
PersonName,
Date,
EndDate = (
/* get the earliest date after current date
associated with a different person */
SELECT MIN(t1.Date)
FROM @t AS t1
WHERE t1.Date > t.Date
AND t1.PersonName <> t.PersonName
)
FROM @t AS t
) s
GROUP BY PersonName, EndDate
ORDER BY 2
基本上,对于每个Date
,我们会在其后找到与其他PersonName
相关联的最近日期。这给了我们EndDate
,它现在区分了同一个人的连续日期组。
现在我们只需要按PersonName
&amp;分组对数据进行分组。 EndDate
并将每个组中的最小Date
设为StartDate
。是的,当然,按StartDate
对数据进行排序。
答案 4 :(得分:0)
使用一些差距和群岛理论可以很快地实现这一目标:
WITH CTE as (SELECT PersonName, [Date]
, Row_Number() over (ORDER BY [Date])
- Row_Number() over (ORDER BY PersonName, [Date]) as Island
FROM @t)
Select PersonName, Min([Date]), Max([Date])
from CTE
GROUP BY Island, PersonName
ORDER BY Min([Date])