Although this question looks simple, it is kind of tricky.
I have a table with the following columns:
table A:
int ID
float value
datetime date
As long as the Date column is unique for each group I think something like this might work:
SELECT A.ID, A.Value
FROM A
INNER JOIN (SELECT Group, MAX(Date) As MaxDate FROM A GROUP BY Group) B
ON A.Group = B.Group AND A.Date = B.MaxDate
You could try with a subquery
select group, id, value, date from A where date in ( select MAX(date) as date from A group by group ) order by group
This is just what analytic functions were made for:
select group,
id,
value
from (
select group,
id,
value,
date,
max(date) over (partition by group) max_date_by_group
from A
)
where date = max_date_by_group
If date is unique, then you already have your answer. If date is not unique, then you need some other uniqueifier. Absent a natural key, your ID is as good as any. Just put a MAX (or MIN, whichever you prefer) on it:
SELECT *
FROM A
JOIN (
--Dedupe any non unqiue dates by getting the max id for each group that has the max date
SELECT Group, MAX(Id) as Id
FROM A
JOIN (
--Get max date for each group
SELECT group, MAX(date) as Date
FROM A
GROUP BY group
) as MaxDate ON
A.Group = MaxDate.Group
AND A.Date = MaxDate.Date
GROUP BY Group
) as MaxId ON
A.Group = MaxId.Group
AND A.Id= MaxId.Id