我到达一个月内使用服务的总天数。 (Start_Date和End_Date都包括在内)
样本数据1:
User Start_Date End_Date
A 01-Jun-2017 30-Jun-2017
B 06-Jun-2017 30-Jun-2017
Ans:服务使用天数= 30天。
样本数据2:
User Start_Date End_Date
C 06-Jun-2017 10-Jun-2017
D 02-Jun-2017 02-Jun-2017
Ans:服务使用天数= 6天。
如何编写代码来查找相同的代码,最好是SQL到PLSQL。
答案 0 :(得分:3)
测试数据:
CREATE TABLE your_table ( usr, start_date, end_date ) AS (
SELECT 'A', DATE '2017-06-01', DATE '2017-06-03' FROM DUAL UNION ALL
SELECT 'B', DATE '2017-06-02', DATE '2017-06-04' FROM DUAL UNION ALL -- Overlaps previous
SELECT 'C', DATE '2017-06-06', DATE '2017-06-06' FROM DUAL UNION ALL
SELECT 'D', DATE '2017-06-07', DATE '2017-06-07' FROM DUAL UNION ALL -- Adjacent to previous
SELECT 'E', DATE '2017-06-11', DATE '2017-06-20' FROM DUAL UNION ALL
SELECT 'F', DATE '2017-06-14', DATE '2017-06-15' FROM DUAL UNION ALL -- Within previous
SELECT 'G', DATE '2017-06-22', DATE '2017-06-25' FROM DUAL UNION ALL
SELECT 'H', DATE '2017-06-24', DATE '2017-06-28' FROM DUAL UNION ALL -- Overlaps previous and next
SELECT 'I', DATE '2017-06-27', DATE '2017-06-30' FROM DUAL UNION ALL
SELECT 'J', DATE '2017-06-27', DATE '2017-06-28' FROM DUAL; -- Within H and I
查询:
SELECT SUM( days ) AS total_days
FROM (
SELECT dt - LAG( dt ) OVER ( ORDER BY dt ) + 1 AS days,
start_end
FROM (
SELECT dt,
CASE SUM( value ) OVER ( ORDER BY dt ASC, value DESC, ROWNUM ) * value
WHEN 1 THEN 'start'
WHEN 0 THEN 'end'
END AS start_end
FROM your_table
UNPIVOT ( dt FOR value IN ( start_date AS 1, end_date AS -1 ) )
)
WHERE start_end IS NOT NULL
)
WHERE start_end = 'end';
<强>输出强>:
TOTAL_DAYS
----------
25
<强>解释强>:
SELECT dt, value
FROM your_table
UNPIVOT ( dt FOR value IN ( start_date AS 1, end_date AS -1 ) )
这将UNPIVOT
表格,以便开始日期和结束日期在同一列(dt
)中,并为开始提供相应的+1值,为结束日期提供-1
SELECT dt,
SUM( value ) OVER ( ORDER BY dt ASC, value DESC, ROWNUM ) AS total,
value
FROM your_table
UNPIVOT ( dt FOR value IN ( start_date AS 1, end_date AS -1 ) )
将给出开始和结束日期以及这些生成值的累积总和。范围的开头始终为value=1
和total=1
,范围的结尾始终为total=0
。如果日期在某个范围的中间,那么它将具有total>1
或value=-1
和total=1
。使用此功能,如果您将value
和total
相乘,则范围的开头是value*total=1
,范围的结尾是value*total=0
,而任何其他值表示日期这是一个范围的中途。
这就是:
SELECT dt,
CASE SUM( value ) OVER ( ORDER BY dt ASC, value DESC, ROWNUM ) * value
WHEN 1 THEN 'start'
WHEN 0 THEN 'end'
END AS start_end
FROM your_table
UNPIVOT ( dt FOR value IN ( start_date AS 1, end_date AS -1 ) )
然后,您可以过滤掉start_end
为NULL
的日期,这会留下一个包含start
和end
行的表格,您可以使用LAG
1}}计算差异天数:
SELECT dt - LAG( dt ) OVER ( ORDER BY dt ) + 1 AS days,
start_end
FROM (
SELECT dt,
CASE SUM( value ) OVER ( ORDER BY dt ASC, value DESC, ROWNUM ) * value
WHEN 1 THEN 'start'
WHEN 0 THEN 'end'
END AS start_end
FROM your_table
UNPIVOT ( dt FOR value IN ( start_date AS 1, end_date AS -1 ) )
)
WHERE start_end IS NOT NULL
您需要做的只是SUM
end - start
的所有差异;它给出了上面的查询。
答案 1 :(得分:1)
正如@Pravin Satav所说,你的要求并不是很清楚,我从你的解释中理解了这样的事情:
u.state_struct.loc0[:] = l