return data other columns that depends on only one column group

version Oracle 9.2.0.6

Data
ID, lot, section, dp_number, nbr_of_dwellings, connection_date
"0007958579", 1, 1135994, 0, 0
"0007958579", 2, 1135994, 1, 19670412
136516, '0185510811', 1, 0, 0
"0185510811", 1, 554594, 0, 20061101
"0185510811", 4, 554594, 0, 20061101
"0185510811", 1, 998827, 1, 0

According to the above data, I would like to reproduce an MS Access query that uses the first function in the ' group of ' query '.
Group by on the id column value and max columns nbr_of_dwellings and connection_date

I'm looking results
"0007958579", 1, 1135994, 1, 19670412
"0185510811", 1, 136516, 1, 20061101

Than you for your answer
I'm looking for the query is to be grouped by Id and return the max values for the two columns and the section much Dp_number as a subgroup if I explained this correctly.
i.e.
"0185510811", 11, 136516, 1, 20061101 or
"0185510811", 1, 554594, 1, 20061101 or
"0185510811", 4, 554594, 1, 20061101 or
"0185510811", 1, 998827, 1, 20061101
an acceptable return within the group by ID

Published by: user4147537 on August 2, 2009 22:51

Hello
I think you are looking for, try it. Change with your table name test2.

SELECT   t2.ID, z.lot, z.section, z.dp_number, MAX (t2.nbr_of_dwellings),
         MAX (t2.connection_date)
    FROM test2 t2,
         (SELECT ID, lot, section, dp_number
            FROM (SELECT t2.ID, t2.lot, t2.section, t2.dp_number,
                         ROW_NUMBER () OVER (PARTITION BY t2.ID ORDER BY t2.ID)
                                                                        AS rn
                    FROM test2 t2)
           WHERE rn = 1) z
   WHERE t2.ID = z.ID
GROUP BY t2.ID, z.lot, z.section, z.dp_number;

Output is

---------------             ---------- ----- ----------    ----------   ----------
0185510811               1           998827          1   20061101
0007958579               1          1135994          1   19670412

Please indicate if it helps you or correct

Kind regards
Danish

Published by: Danish on August 3, 2009 11:33

Published by: Danish on August 3, 2009 11:36

Tags: Database

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