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Editorial Team
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Asked: 2026-06-09T07:37:08+00:00

TABLE 1 ID | DATE | a | 10-07-2012 | b | 10-07-2012 |

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TABLE 1

ID    |      DATE       |   
 a    |   10-07-2012    |     
 b    |   10-07-2012    |     
 c    |   10-07-2012    |

TABLE2

ID    |    OrdersID  |
 a    |     001      |
 b    |     002      |
 c    |     003      |

TABLE3

ItemID    |   OrdersID    |  Items |
    1     |     001       |   5    |  
    2     |     002       |   3    |  
    7     |     003       |   2    | 
    3     |     003       |   7    | 
    4     |     001       |   8    |
    2     |     003       |   7    |
    5     |     003       |   6    |   
    6     |     003       |   1    |

TABLE4

 ItemID   | ItemName   |  
    1     |  ABC       |
    2     |  EFG       |
    3     |  HIJ       |
    4     |  KLM       |
    5     |  NOP       |
    6     |  QRS       |
    7     |  TUV       |

I would like to select the ID’s from TABLE1 t where Date = 10-07-2012

In Table2 with the ID’s I would like to select the OrdersID‘s

With the OrdersID‘s I would like to add together how many Items of a ItemID exist e.g. IteamID 2 has a total of 10 Items

From TABLE3 I would like to know the top 5 Items and the quantity of Items in Order and get the names of the the ItemID from TABLLE4 ItemName.

Expected results 5 results 

ItemID  |  ItemName  |  Quantity  | 
   2    |  EFG       |     10     | 
   3    |  HIJ       |      7     | 
      .....
  .....
      .....
      .....

SQL used at the start …

 SELECT SUM (t3.Items) , t4.ItemName
  FROM Table3 t3
  JOIN Table2 t2 ON t3.OrdersID = t2.OrdersID
  JOIN Table1 t1 ON t2.ID = t1.ID
  WHERE t1.[Date] = '10072012 00:00:00'
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1 Answer

  1. Editorial Team

    Depending on how you want to break ties in your top five, this is a working answer.

    select top 5
    t3.ItemID,
    (select ItemName from TABLE4 as t4 where t4.ItemID = t3.ItemID) as ItemName,
    sum(t3.Items) as Quantity
from TABLE3 as t3
where t3.OrdersID in (
    select OrdersID
    from TABLE1 as t1 inner join TABLE2 as t2 on t2.ID = t1.ID
    where DATE = cast('20121007' as datetime)
)
group by t3.ItemID
order by Quantity desc

    Here’s the output I get. Notice that Item 4 ranks higher than Item 3 which does not match with the sample output specified.

    ItemID | ItemName | Quantity  
   2   |    EFG   |    10  
   4   |    KLM   |     8  
   3   |    HIJ   |     7  
   5   |    NOP   |     6  
   1   |    ABC   |     5
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