How to Select and Order By columns not in Groupy By SQL statement - Oracle

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失恋的感觉
失恋的感觉 2021-01-01 08:27

I have the following statement:

SELECT  
    IMPORTID,Region,RefObligor,SUM(NOTIONAL) AS SUM_NOTIONAL
From 
    Positions
Where
    ID = :importID
GROUP BY 
         


        
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  • 2021-01-01 08:41

    It does not make sense to include columns that are not part of the GROUP BY clause. Consider if you have a MIN(X), MAX(Y) in the SELECT clause, which row should other columns (not grouped) come from?

    If your Oracle version is recent enough, you can use SUM - OVER() to show the SUM (grouped) against every data row.

    SELECT  
        IMPORTID,Site,Desk,Region,RefObligor,
        SUM(NOTIONAL) OVER(PARTITION BY IMPORTID, Region,RefObligor) AS SUM_NOTIONAL
    From 
        Positions
    Where
        ID = :importID
    Order BY 
        IMPORTID,Region,Site,Desk,RefObligor
    

    Alternatively, you need to make an aggregate out of the Site, Desk columns

    SELECT  
        IMPORTID,Region,Min(Site) Site, Min(Desk) Desk,RefObligor,SUM(NOTIONAL) AS SUM_NOTIONAL
    From 
        Positions
    Where
        ID = :importID
    GROUP BY 
        IMPORTID, Region,RefObligor
    Order BY 
        IMPORTID, Region,Min(Site),Min(Desk),RefObligor
    
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  • 2021-01-01 08:43

    I believe this is

    select
      IMPORTID,
      Region,
      Site,
      Desk,
      RefObligor,
      Sum(Sum(Notional)) over (partition by IMPORTID, Region, RefObligor) 
    from
      Positions
    group by
      IMPORTID, Region, Site, Desk, RefObligor
    order by
      IMPORTID, Region, RefObligor, Site, Desk;
    

    ... but it's hard to tell without further information and/or test data.

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  • 2021-01-01 08:52

    A great blog post that covers this dilemma in detail is here:

    http://bernardoamc.github.io/sql/2015/05/04/group-by-non-aggregate-columns/

    Here are some snippets of it:

    Given:

    CREATE TABLE games (
      game_id serial PRIMARY KEY,
      name VARCHAR,
      price BIGINT,
      released_at DATE,
      publisher TEXT
    );
    
    INSERT INTO games (name, price, released_at, publisher) VALUES
      ('Metal Slug Defense', 30, '2015-05-01', 'SNK Playmore'),
      ('Project Druid', 20, '2015-05-01', 'shortcircuit'),
      ('Chroma Squad', 40, '2015-04-30', 'Behold Studios'),
      ('Soul Locus', 30, '2015-04-30', 'Fat Loot Games'),
      ('Subterrain', 40, '2015-04-30', 'Pixellore');
    
    SELECT * FROM games;
    
     game_id |        name        | price | released_at |   publisher
    ---------+--------------------+-------+-------------+----------------
           1 | Metal Slug Defense |    30 | 2015-05-01  | SNK Playmore
           2 | Project Druid      |    20 | 2015-05-01  | shortcircuit
           3 | Chroma Squad       |    40 | 2015-04-30  | Behold Studios
           4 | Soul Locus         |    30 | 2015-04-30  | Fat Loot Games
           5 | Subterrain         |    40 | 2015-04-30  | Pixellore
    (5 rows)
    

    Trying to get something like this:

    SELECT released_at, name, publisher, MAX(price) as most_expensive
    FROM games
    GROUP BY released_at;
    

    But name and publisher are not added due to being ambiguous when aggregating...

    Let’s make this clear:

    Selecting the MAX(price) does not select the entire row.
    

    The database can’t know and when it can’t give the right answer every time for a given query it should give us an error, and that’s what it does!

    Ok… Ok… It’s not so simple, what can we do?

    1. Use an inner join to get the additional columns

      SELECT g1.name, g1.publisher, g1.price, g1.released_at
      FROM games AS g1
      INNER JOIN (
        SELECT released_at, MAX(price) as price
        FROM games
        GROUP BY released_at
      ) AS g2
      ON g2.released_at = g1.released_at AND g2.price = g1.price;
      
    2. Or Use a left outer join to get the additional columns, and then filter by the NULL of a duplicate column...

      SELECT g1.name, g1.publisher, g1.price, g2.price, g1.released_at
      FROM games AS g1
      LEFT OUTER JOIN games AS g2
      ON g1.released_at = g2.released_at AND g1.price < g2.price
      WHERE g2.price IS NULL;
      

    Hope that helps.

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