sql查询将不连续的时间序列作为连续的时间序列

Question

我正在尝试在 Oracle 11g 中运行一个 sql 查询，它将把下面给定的数据集转换为下一个数据集。

id| start date1       | end date1          |   start date2      | end date2
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1 | 27/02/2017 01:00:00| 27/02/2017 02:00:00| 27/02/2017 01:00:00|27/02/2017 02:00:00
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2 | 27/02/2017 02:00:00| 27/02/2017 04:00:00| 27/02/2017 02:00:00|27/02/2017 03:00:00
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2 | 27/02/2017 02:00:00| 27/02/2017 04:00:00| 27/02/2017 03:00:00|27/02/2017 03:30:00
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 3 | 27/02/2017 04:00:00| 27/02/2017 05:00:00| 27/02/2017 04:00:00|27/02/2017 05:00:00
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Final dataset :

id | start date1       | end date1          | start date2        | end date2
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1 | 27/02/2017 01:00:00| 27/02/2017 02:00:00| 27/02/2017 01:00:00|27/02/2017 02:00:00
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2 | 27/02/2017 02:00:00| 27/02/2017 04:00:00| 27/02/2017 02:00:00|27/02/2017 03:00:00
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2 | 27/02/2017 02:00:00| 27/02/2017 04:00:00| 27/02/2017 03:00:00|27/02/2017 03:30:00
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2 | 27/02/2017 02:00:00| 27/02/2017 04:00:00| 27/02/2017 03:30:00|27/02/2017 04:00:00
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 3 | 27/02/2017 04:00:00| 27/02/2017 05:00:00| 27/02/2017 04:00:00|27/02/2017 05:00:00
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这样做的逻辑是开始日期1 和结束日期1 将是连续的。 此外 start_date2 和 end date2 需要是连续的。 如果在某个时刻结束 date2 与下一个 startdate2 不匹配，则需要添加一个新行，该行具有与下一个开始 date1 相同的 id 和 enddate2。

任何帮助深表感谢。

Answer 1

例如我进行下一个查询

with s (id,start_date1,end_date1,start_date2,end_date2) as 
(select 
1, to_date('27/02/2017 01:00:00','dd/mm/yyyy HH24:MI:SS'), to_date('27/02/2017 02:00:00','dd/mm/yyyy HH24:MI:SS'), 
to_date('27/02/2017 01:00:00','dd/mm/yyyy HH24:MI:SS'), to_date('27/02/2017 02:00:00','dd/mm/yyyy HH24:MI:SS') from dual union all
select 2, to_date('27/02/2017 02:00:00','dd/mm/yyyy HH24:MI:SS'), to_date('27/02/2017 04:00:00','dd/mm/yyyy HH24:MI:SS'), 
to_date('27/02/2017 02:00:00','dd/mm/yyyy HH24:MI:SS'), to_date('27/02/2017 03:00:00','dd/mm/yyyy HH24:MI:SS') from dual union all
select 2, to_date('27/02/2017 02:00:00','dd/mm/yyyy HH24:MI:SS'), to_date('27/02/2017 04:00:00','dd/mm/yyyy HH24:MI:SS'), 
to_date('27/02/2017 03:00:00','dd/mm/yyyy HH24:MI:SS'), to_date('27/02/2017 03:30:00','dd/mm/yyyy HH24:MI:SS') from dual union all
select 3, to_date('27/02/2017 04:00:00','dd/mm/yyyy HH24:MI:SS'), to_date('27/02/2017 05:00:00','dd/mm/yyyy HH24:MI:SS'), 
to_date('27/02/2017 04:00:00','dd/mm/yyyy HH24:MI:SS'), to_date('27/02/2017 05:00:00','dd/mm/yyyy HH24:MI:SS') from dual
)
select distinct
id,sd1, ed1,  sd2, ed2 from (
select id,
       to_char(sd1,'dd/mm/yyyy HH24:MI:SS') sd1,
       to_char(ed1,'dd/mm/yyyy HH24:MI:SS') ed1, 
       to_char(border,'dd/mm/yyyy HH24:MI:SS') as sd2, 
       to_char(nvl(lead(border) over (partition by sd1, ed1 order by border),ed1),'dd/mm/yyyy HH24:MI:SS') as ed2  
from (
select id,
       start_date1 as sd1,
       end_date1 as ed1 ,
       decode(id1, 0,start_date2,end_date2)   as border,
       start_date2 as sd2 ,
       end_date2 as ed2,
       id1
       from s
       join (select rownum -1 as id1 from dual connect by level <= 2) on 1=1 )) 
where sd2 < ed2;

Answer 2

我对 Microsoft SQL 服务器做了类似的事情。 这就是我使用过的：

IF OBJECT_ID('tempdb..#Results') IS NOT NULL DROP TABLE #Results

CREATE TABLE #Results ( 
MonthYear DATE,
[Month] INT, 
[Year] INT                         
)

DECLARE @Y1 INT = 2019, @Y2 INT = 2020, @M1 INT = 1, @M2 INT = 12

WHILE @Y1 <= @Y2
BEGIN
        WHILE @M1 <= @M2
        BEGIN
            INSERT INTO #Results (MonthYear, [Month], [Year])
            VALUES(DATEFROMPARTS(@Y1,@M1,1),@M1,@Y1)
            SET @M1 = @M1+1
        END
        SET @Y1 = @Y1 + 1
END

SELECT R.MonthYear,
COUNT(T.CreatedOn) AS [Counts]
FROM #Results R
LEFT JOIN MyTable T ON DATEADD(MONTH, DATEDIFF(MONTH, 0, T.CreatedOn), 0) = R.MonthYear
GROUP BY MonthYear

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所以，如果实际分组的数据是这样的：

转换后的系列（具有连续的月度数据，即填充所有缺失的月份）如下所示：