I have the data below:
DECLARE @tbl TABLE (
ID VARCHAR(8)
,WeekDayName VARCHAR(15)
,StartDate VARCHAR(15)
,EndDate VARCHAR(15)
,A_Type VARCHAR(3)
,A_Days VARCHAR(10)
,A_Hours VARCHAR(10)
)
INSERT INTO @tbl (ID, WeekDayName, StartDate, EndDate, A_Type, A_Days, A_Hours)
VALUES
('150017', 'Monday', '2019-12-23', '2019-12-23', '430', 1.00, 8.20)
,('150017', 'Tuesday', '2019-12-24', '2019-12-24', '430', 1.00, 4.10)
,('150017', 'Friday', '2019-12-27', '2019-12-27', '430', 1.00, 8.20)
,('150017', 'Monday', '2019-12-30', '2019-12-30', '430', 1.00, 8.20)
,('150017', 'Tuesday', '2019-12-31', '2019-12-31', '430', 1.00, 4.10)
,('150035', 'Tuesday', '2019-03-12', '2019-03-12', '430', 0.66, 5.45)
,('150041', 'Thursday', '2019-01-17', '2019-01-17', '430', 1.00, 8.20)
,('150041', 'Tuesday', '2019-08-20', '2019-08-20', '430', 1.00, 8.20)
,('150041', 'Friday', '2019-08-21', '2019-08-21', '430', 1.00, 8.20)
,('150045', 'Monday', '2019-05-13', '2019-05-13', '430', 1.00, 8.20)
,('150045', 'Tuesday', '2019-05-14', '2019-05-14', '430', 1.00, 8.20)
,('150045', 'Wednesday', '2019-05-15', '2019-05-15', '430', 1.00, 8.20)
,('150045', 'Monday', '2019-11-25', '2019-11-25', '430', 1.00, 8.20)
,('150045', 'Tuesday', '2019-11-26', '2019-11-26', '430', 1.00, 8.20)
,('150045', 'Wednesday', '2019-11-27', '2019-11-27', '430', 1.00, 8.20)
,('150045', 'Thursday', '2019-11-28', '2019-11-28', '430', 1.00, 8.20)
,('150045', 'Friday', '2019-11-29', '2019-11-29', '430', 1.00, 8.20)
,('150046', 'Monday', '2019-03-11', '2019-03-11', '430', 1.00, 8.20)
,('150048', 'Tuesday', '2019-10-08', '2019-10-08', '430', 0.30, 2.50)
,('150048', 'Monday', '2019-10-28', '2019-10-28', '430', 1.00, 8.20)
The StartDate and EndDate are always identical and they are only working days (Monday to Friday). The WeekDayName is the name of the StartDate. ID is an integer. A_Type is (here) always 430. A_Days (always lower than or equal to 1), A_Hours (always lower than or equal to 8.20).
The desired output is for each ID a StartDate, EndDate, Sum of A_Days, Sum of A_Hours, SumDays. SumDays is the number of working days between StartDate and EndDate. EndDate is the day that which is the last date of a “block” of following dates, grouped by the ID.
E.g.
ID StartDate EndDate A_Days A_Hours SumDays 150017 2019-12-23 2019-12-31 5.00 32.80 5 150035 2019-03-12 2019-03-12 0.66 5.45 1 150041 2019-01-17 2019-01-17 1.00 8.20 1 150041 2019-08-20 2019-08-21 2.00 16.40 2 ...
150041 has two records, since there are two “blocks” of following dates. The first, 2019-01-17, and the seconds from 2019-08-20 to 2019-08-21.
Could someone please help me with that? (As a bonus, it would be great if it is possible to be able to group by the column A_Type as well). I could not get it working.
Any help is appreciated.
Thank you in advance,
Best
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Answer
I understand that you want to group togethers records that have the same id and adjacent days (ignoring week-ends). This is a gaps and islands problem.
Here is one approach that uses lag() to retrieve the previous endDate and compare it to the current startDate; everytime dates are not “adjacent”, a new group starts (a little additional logic is needed to handle the Friday > Monday gap).
select id, min(startDate) startDate, min(endDate) endDate, sum(a_days) a_days, sum(a_hours) a_hours, count(*) sumDays
from (
select
t.*,
sum(
case when
startDate = dateadd(d, 1, lagEndDate)
or (weekDayName = 'Monday' and startDate = dateadd(d, 3, lagEndDate))
then 0 else 1
end
) over (partition by id order by endDate) grp
from (
select t.*, lag(endDate) over(partition by id order by endDate) lagEndDate
from @tbl t
) t
) t
group by id, grp
For your sample data, this produces:
id | startDate | endDate | a_days | a_hours | sumDays :----- | :---------------------- | :---------------------- | :----- | :------ | ------: 150017 | 2019-12-23 00:00:00.000 | 2019-12-24 00:00:00.000 | 2.00 | 12.30 | 2 150017 | 2019-12-27 00:00:00.000 | 2019-12-31 00:00:00.000 | 3.00 | 20.50 | 3 150035 | 2019-03-12 00:00:00.000 | 2019-03-12 00:00:00.000 | 0.66 | 5.45 | 1 150041 | 2019-01-17 00:00:00.000 | 2019-01-17 00:00:00.000 | 1.00 | 8.20 | 1 150041 | 2019-08-20 00:00:00.000 | 2019-08-21 00:00:00.000 | 2.00 | 16.40 | 2 150045 | 2019-05-13 00:00:00.000 | 2019-05-15 00:00:00.000 | 3.00 | 24.60 | 3 150045 | 2019-11-25 00:00:00.000 | 2019-11-29 00:00:00.000 | 5.00 | 41.00 | 5 150046 | 2019-03-11 00:00:00.000 | 2019-03-11 00:00:00.000 | 1.00 | 8.20 | 1 150048 | 2019-10-08 00:00:00.000 | 2019-10-08 00:00:00.000 | 0.30 | 2.50 | 1 150048 | 2019-10-28 00:00:00.000 | 2019-10-28 00:00:00.000 | 1.00 | 8.20 | 1