From MySQL to Mongoose: aggregate document with maximum multiplication of two values in all rows









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For given table:



id | val_a | val_b | mult | category
------------------------------------
0 | 1 | 2 | 9 | A
1 | 0 | 3 | 5 | B
2 | 0.5 | 4 | 6 | C


following query in MySQL



SELECT * FROM table WHERE category IN ('A','B','C') 
AND IF( val_a > 0, val_a, val_b ) * mult = (SELECT MAX( IF( val_a > 0, val_a, val_b ) * mult ) FROM table WHERE category IN ('A','B','C')) LIMIT 1;


will find multiplications of val_a * mult for every row (if val_a == 0 : val_b * mult)



0) 1*9 = 9
1) 3*5 = 15
2) 0.5*4 = 2


and then find the maximum of all answers, and finally return row with ID:1



1) 15


How do I aggregate the same in Mongoose? Even partial answer will help to move forward and to learn.
Tried to start with http://www.querymongo.com/ but without success.










share|improve this question

























    up vote
    1
    down vote

    favorite
    1












    For given table:



    id | val_a | val_b | mult | category
    ------------------------------------
    0 | 1 | 2 | 9 | A
    1 | 0 | 3 | 5 | B
    2 | 0.5 | 4 | 6 | C


    following query in MySQL



    SELECT * FROM table WHERE category IN ('A','B','C') 
    AND IF( val_a > 0, val_a, val_b ) * mult = (SELECT MAX( IF( val_a > 0, val_a, val_b ) * mult ) FROM table WHERE category IN ('A','B','C')) LIMIT 1;


    will find multiplications of val_a * mult for every row (if val_a == 0 : val_b * mult)



    0) 1*9 = 9
    1) 3*5 = 15
    2) 0.5*4 = 2


    and then find the maximum of all answers, and finally return row with ID:1



    1) 15


    How do I aggregate the same in Mongoose? Even partial answer will help to move forward and to learn.
    Tried to start with http://www.querymongo.com/ but without success.










    share|improve this question























      up vote
      1
      down vote

      favorite
      1









      up vote
      1
      down vote

      favorite
      1






      1





      For given table:



      id | val_a | val_b | mult | category
      ------------------------------------
      0 | 1 | 2 | 9 | A
      1 | 0 | 3 | 5 | B
      2 | 0.5 | 4 | 6 | C


      following query in MySQL



      SELECT * FROM table WHERE category IN ('A','B','C') 
      AND IF( val_a > 0, val_a, val_b ) * mult = (SELECT MAX( IF( val_a > 0, val_a, val_b ) * mult ) FROM table WHERE category IN ('A','B','C')) LIMIT 1;


      will find multiplications of val_a * mult for every row (if val_a == 0 : val_b * mult)



      0) 1*9 = 9
      1) 3*5 = 15
      2) 0.5*4 = 2


      and then find the maximum of all answers, and finally return row with ID:1



      1) 15


      How do I aggregate the same in Mongoose? Even partial answer will help to move forward and to learn.
      Tried to start with http://www.querymongo.com/ but without success.










      share|improve this question













      For given table:



      id | val_a | val_b | mult | category
      ------------------------------------
      0 | 1 | 2 | 9 | A
      1 | 0 | 3 | 5 | B
      2 | 0.5 | 4 | 6 | C


      following query in MySQL



      SELECT * FROM table WHERE category IN ('A','B','C') 
      AND IF( val_a > 0, val_a, val_b ) * mult = (SELECT MAX( IF( val_a > 0, val_a, val_b ) * mult ) FROM table WHERE category IN ('A','B','C')) LIMIT 1;


      will find multiplications of val_a * mult for every row (if val_a == 0 : val_b * mult)



      0) 1*9 = 9
      1) 3*5 = 15
      2) 0.5*4 = 2


      and then find the maximum of all answers, and finally return row with ID:1



      1) 15


      How do I aggregate the same in Mongoose? Even partial answer will help to move forward and to learn.
      Tried to start with http://www.querymongo.com/ but without success.







      mongodb mongoose mongodb-query






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      asked Nov 10 at 19:32









      Pumych

      5921819




      5921819






















          1 Answer
          1






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          You can use $match with $in to apply filtering condition and then $multiply with $cond to calculate the value based on your formula. Finally you can add $sort with $limit to get MAX value. Try:



          db.col.aggregate([

          $match:
          category: $in: [ "A", "B", "C" ]

          ,

          $project:
          _id: 1,
          value:
          $multiply: [ $cond: [ $ne: [ "$val_a", 0 ] , "$val_a", "$val_b" ] , "$mult" ]


          ,

          $sort: value: -1
          ,

          $limit: 1

          ])


          Outputs:



           "_id" : 1, "value" : 15 





          share|improve this answer




















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            1 Answer
            1






            active

            oldest

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            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes








            up vote
            1
            down vote



            accepted










            You can use $match with $in to apply filtering condition and then $multiply with $cond to calculate the value based on your formula. Finally you can add $sort with $limit to get MAX value. Try:



            db.col.aggregate([

            $match:
            category: $in: [ "A", "B", "C" ]

            ,

            $project:
            _id: 1,
            value:
            $multiply: [ $cond: [ $ne: [ "$val_a", 0 ] , "$val_a", "$val_b" ] , "$mult" ]


            ,

            $sort: value: -1
            ,

            $limit: 1

            ])


            Outputs:



             "_id" : 1, "value" : 15 





            share|improve this answer
























              up vote
              1
              down vote



              accepted










              You can use $match with $in to apply filtering condition and then $multiply with $cond to calculate the value based on your formula. Finally you can add $sort with $limit to get MAX value. Try:



              db.col.aggregate([

              $match:
              category: $in: [ "A", "B", "C" ]

              ,

              $project:
              _id: 1,
              value:
              $multiply: [ $cond: [ $ne: [ "$val_a", 0 ] , "$val_a", "$val_b" ] , "$mult" ]


              ,

              $sort: value: -1
              ,

              $limit: 1

              ])


              Outputs:



               "_id" : 1, "value" : 15 





              share|improve this answer






















                up vote
                1
                down vote



                accepted







                up vote
                1
                down vote



                accepted






                You can use $match with $in to apply filtering condition and then $multiply with $cond to calculate the value based on your formula. Finally you can add $sort with $limit to get MAX value. Try:



                db.col.aggregate([

                $match:
                category: $in: [ "A", "B", "C" ]

                ,

                $project:
                _id: 1,
                value:
                $multiply: [ $cond: [ $ne: [ "$val_a", 0 ] , "$val_a", "$val_b" ] , "$mult" ]


                ,

                $sort: value: -1
                ,

                $limit: 1

                ])


                Outputs:



                 "_id" : 1, "value" : 15 





                share|improve this answer












                You can use $match with $in to apply filtering condition and then $multiply with $cond to calculate the value based on your formula. Finally you can add $sort with $limit to get MAX value. Try:



                db.col.aggregate([

                $match:
                category: $in: [ "A", "B", "C" ]

                ,

                $project:
                _id: 1,
                value:
                $multiply: [ $cond: [ $ne: [ "$val_a", 0 ] , "$val_a", "$val_b" ] , "$mult" ]


                ,

                $sort: value: -1
                ,

                $limit: 1

                ])


                Outputs:



                 "_id" : 1, "value" : 15 






                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 10 at 21:40









                mickl

                10.1k51435




                10.1k51435



























                     

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