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Home/ Questions/Q 3961714
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Editorial Team
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Editorial Team
Asked: May 20, 20262026-05-20T03:00:29+00:00 2026-05-20T03:00:29+00:00

Possible Duplicate: Get top 10 products for every category I am looking for an

  • 0

Possible Duplicate:
Get top 10 products for every category

I am looking for an Oracle query to get top 5000 stores and for each store get top 10 products and for each top 10 products get top 5 sub-products. So In total I should get 5000*10*5 rows.

Can someone help me get this using Oracle’s analytical functions.

My current query looks like

SELECT 
store,
product, 
sub-product,
 count(*) as sales 
 FROM stores_data
 GROUP BY store, product, sub-product;

Please assume table names as stores_data with columns store_id , product,sub_product

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-20T03:00:30+00:00Added an answer on May 20, 2026 at 3:00 am

    You should use dense_rank to get the top N rows.

    Something like

    SELECT
      storeid,
      store,
      productid,
      product,
      subproductid,
      subproduct
    FROM
      (
        SELECT
          s.storeid,
          s.store,
          p.productid,
          p.product,
          sp.subproductid,
          sp.subproduct,
          dense_rank() over ( order by s.storeid) as storerank,
          dense_rank() over ( partition by s.storeid 
                              order by p.productid) as productrank
          dense_rank() over ( partition by s.storeid, p.productid 
                              order by sp.subproductid) as productrank
        FROM
          stores s
          INNER JOIN products p on p.storeid = s.storeid
          INNER JOIN subproduct sp on sp.productid = p.productid
      ) t
    WHERE
      t.storerank <= 5000 and
      t.productrank < 10 and
      t.subproductrank < 5
    

    Of course, I don’t now your tables nor the relation between them. And the actual fields and conditions you want to check for, so this is just a simple query getting the top N records based on their id. Also, this query expects a product to have only one store which might not be the case.. At least it will show you how to use dense_rank to get a three-layered sorting/filtering.

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