Identity-Like Column But Based on Group by Criteria

How do I perform a GROUP BY on an aliased column in SQL Server?

You pass the expression you want to group by rather than the alias

SELECT       LastName + ', ' + FirstName AS 'FullName'
FROM         customers
GROUP BY      LastName + ', ' + FirstName

Select rows with same id but different value in another column

This ought to do it:

SELECT *
FROM YourTable
WHERE ARIDNR IN (
    SELECT ARIDNR
    FROM YourTable
    GROUP BY ARIDNR
    HAVING COUNT(*) > 1
)

The idea is to use the inner query to identify the records which have a ARIDNR value that occurs 1+ times in the data, then get all columns from the same table based on that set of values.

Get top 1 row of each group

;WITH cte AS
(
   SELECT *,
         ROW_NUMBER() OVER (PARTITION BY DocumentID ORDER BY DateCreated DESC) AS rn
   FROM DocumentStatusLogs
)
SELECT *
FROM cte
WHERE rn = 1

If you expect 2 entries per day, then this will arbitrarily pick one. To get both entries for a day, use DENSE_RANK instead

As for normalised or not, it depends if you want to:

• maintain status in 2 places
• preserve status history
• ...

As it stands, you preserve status history. If you want latest status in the parent table too (which is denormalisation) you'd need a trigger to maintain "status" in the parent. or drop this status history table.

Group by minimum value in one field while selecting distinct rows

How about something like:

SELECT mt.*     
FROM MyTable mt INNER JOIN
    (
        SELECT id, MIN(record_date) AS MinDate
        FROM MyTable
        GROUP BY id
    ) t ON mt.id = t.id AND mt.record_date = t.MinDate

This gets the minimum date per ID, and then gets the values based on those values. The only time you would have duplicates is if there are duplicate minimum record_dates for the same ID.

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