假设有如下记录:
Employee_id, work_start_date, work_end_date
1, 01-jan-2014, 07-jan-2014
1, 03-jan-2014, 12-jan-2014
1, 23-jan-2014, 25-jan-2014
2, 15-jan-2014, 25-jan-2014
2, 07-jan-2014, 15-jan-2014
2, 09-jan-2014, 12-jan-2014
要求是编写一个SQL select语句,该语句将汇总按employee_id分组的工作日,但排除重叠的句点(意思是 - 只将它们计算一次)。
所需的输出是:
Employee_id, worked_days
1, 13
2, 18
日期范围内的工作日计算如下: 如果work_start_date = 5且work_end_date = 9则则working_days = 4(9 - 5)。
我可以编写一个pl / sql函数来解决这个问题(手动迭代记录并进行计算),但我确信可以使用SQL来实现更好的性能。
有人可以指出我正确的方向吗?
谢谢!
答案 0 :(得分:3)
这是一个类似问题的略微修改的查询:
compute sum of values associated with overlapping date ranges
SELECT "Employee_id",
SUM( "work_end_date" - "work_start_date" )
FROM(
SELECT "Employee_id",
"work_start_date" ,
lead( "work_start_date" )
over (Partition by "Employee_id"
Order by "Employee_id", "work_start_date" )
As "work_end_date"
FROM (
SELECT "Employee_id", "work_start_date"
FROM Table1
UNION
SELECT "Employee_id","work_end_date"
FROM Table1
) x
) x
WHERE EXISTS (
SELECT 1 FROM Table1 t
WHERE t."work_start_date" > x."work_end_date"
AND t."work_end_date" > x."work_start_date"
OR t."work_start_date" = x."work_start_date"
AND t."work_end_date" = x."work_end_date"
)
GROUP BY "Employee_id"
;
答案 1 :(得分:1)
这是一个棘手的问题。例如,您无法使用lag()
,因为重叠时段可能不是"之前的"一。或者不同的时期可以在同一天开始或停止。
这个想法是重建时期。这该怎么做?查找期间开始的记录 - 也就是说,与其他任何记录都没有重叠。然后将其用作标志并累计计算此标志以计算重叠组。然后获得工作日只是从那里汇总:
with ps as (
select e.*,
(case when exists (select 1
from emps e2
where e2.employee_id = e.employee_id and
e2.work_start_date <= e.work_start_date and
e2.work_end_date >= e.work_end_date
)
then 0 else 1
) as IsPeriodStart
from emps e
)
select employee_id, sum(work_end_date - work_start_date) as Days_Worked
from (select employee_id, min(work_start_date) as work_start_date,
max(work_end_date) as work_end_date
from (select ps.*,
sum(IsPeriod_Start) over (partition by employee_id
order by work_start_date
) as grp
from ps
) ps
group by employee_id, grp
) ps
group by employee_id;
答案 2 :(得分:1)
date_tbl type
create or replace package RG_TYPE is type date_tbl is table of date; end;
函数(结果为具有2个参数之间的日期的表)
create or replace function dates ( p_from date, p_to date ) return rg_type.date_tbl pipelined is l_idx date:=p_from; begin loop if l_idx>nvl(p_to,p_from) then exit; end if; pipe row(l_idx); l_idx:=l_idx+1; end loop; return; end;
SQL:
select employee_id,sum(c) from (select e.employee_id,d.column_value,count(distinct w.employee_id) as c from (select distinct employee_id from works) e, table(dates((select min(work_start_date) as a from works),(select max(work_end_date) as b from works))) d, works w where e.employee_id=w.employee_id and d.column_value>=w.work_start_date and d.column_value<w.work_end_date group by e.employee_id,d.column_value) Sub group by employee_id order by 1,2