This is a special case of the Top N per category problem in SQL, where N = 1, in case of which some simpler solutions may apply:
A standard SQL solution
The existing answers suggest using row_number() in a derived table, which obviously works. But as I have explained in this article, using first_value() would be more straightforward in most cases. Your result could be produced by this query:
SELECT DISTINCT
item,
first_value (loc) OVER (PARTITION BY item ORDER BY qty) loc,
first_value (status) OVER (PARTITION BY item ORDER BY qty) status,
first_value (qty) OVER (PARTITION BY item ORDER BY qty) qty,
FROM t
ORDER BY item
This is assuming you want ordering by QTY. Replace the ORDER BY clause if some other ordering is desired.
This approach works on all RDBMS
An Oracle specific solution
In Oracle, you can use the vendor specific FIRST aggregate function, which uses the following syntax
SELECT
item,
MAX (loc) KEEP (DENSE_RANK FIRST ORDER BY qty) loc,
MAX (status) KEEP (DENSE_RANK FIRST ORDER BY qty) status,
MAX (qty) KEEP (DENSE_RANK FIRST ORDER BY qty) qty,
FROM t
GROUP BY item
ORDER BY item
I've seen this perform better than the window function based approach, but do check on your side.