I receive reports in which the data is ETL to the DB automatically. I extract and transform some of that data to load it somewhere else. One thing I need to d
I have found a better solution. This makes the assumption that the first date is less than or equal to the second date.
declare @dateTable table (date1 datetime, date2 datetime)
insert into @dateTable
select '2017-12-31', '2018-01-02' union
select '2017-01-03', '2018-01-02' union
select '2017-01-02', '2018-01-02' union
select '2017-01-01', '2018-01-02' union
select '2016-12-01', '2018-01-02' union
select '2016-01-03', '2018-01-02' union
select '2016-01-02', '2018-01-02' union
select '2016-01-01', '2018-01-02'
select date1, date2,
case when ((DATEPART(year, date1) < DATEPART(year, date2)) and
((DATEPART(month, date1) <= DATEPART(month, date2)) and
(DATEPART(day, date1) <= DATEPART(day, date2)) ))
then DATEDIFF(year, date1, date2)
when (DATEPART(year, date1) < DATEPART(year, date2))
then DATEDIFF(year, date1, date2) - 1
when (DATEPART(year, date1) = DATEPART(year, date2))
then 0
end [YearsOfService]
from @dateTable
date1 date2 YearsOfService
----------------------- ----------------------- --------------
2016-01-01 00:00:00.000 2018-01-02 00:00:00.000 2
2016-01-02 00:00:00.000 2018-01-02 00:00:00.000 2
2016-01-03 00:00:00.000 2018-01-02 00:00:00.000 1
2016-12-01 00:00:00.000 2018-01-02 00:00:00.000 1
2017-01-01 00:00:00.000 2018-01-02 00:00:00.000 1
2017-01-02 00:00:00.000 2018-01-02 00:00:00.000 1
2017-01-03 00:00:00.000 2018-01-02 00:00:00.000 0
2017-12-31 00:00:00.000 2018-01-02 00:00:00.000 0