produce JSON files based on the Row combinations in SPARK-SQL

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I need to create multiple JSON files based on the ROW combinations.

e.g. In below table there are 4 rows, so I need to produce 3 JSON files.

I have provided a sample table below to be taken as source and sample JSON as well which we need to produce.

In each JSON file, there should be data related to calendaryear|channel|division|gender|category



If combination of calendaryear|channel|division|gender|category is repeated, we need to club those rows together in a single JSON file.



If the value is not present for some week it needs to be filled with zero as given in JSON example



calendaryear|channel|division|gender|category|netSales|salesUnits|weeknumber|

2018|Digital| APPAREL| KIDS| CRICKET|12009.599999999993| 199.0| 2|

2018|Digital| APPAREL| KIDS|COLLECTIONS| 8192.699999999999| 111.0| 2|

2018|Digital|FOOTWEAR| MENS|COLLECTIONS|3767.3999999999996| 55.0| 2|

2018|Digital| APPAREL| KIDS|COLLECTIONS| 808.24| 7.0| 4|


diff JSON files have to be produced based on the uniqueKey,calendaryear|channel|division|gender|category



{  
"uniqueKey":"RY18_DIGITAL_APPAREL_KIDS_COLLECTIONS",
"division":"APPAREL",
"gender":"KIDS",
"category":"COLLECTIONS",
"channel":"DIGITAL",
"year":"RY18",
"dataRows":[
{
"rowId":"Net Sales",
"dataRow":[
{
"W1":5000,
"W2":0,
"W3":0,
"W4":0,
"W5":0,
"W6":0,
"W7":0,
"W8":0,
"W9":0,
"W10":0,
"W11":0,
"W12":0,
"W13":0,
"W14":2000,
"W15":0,
"W16":0,
"W17":3000,
"W18":0,
"W19":0,
"W20":0,
"W21":0,
"W22":0,
"W23":0,
"W24":0,
"W25":0,
"W26":0,
"W27":0,
"W28":0,
"W29":0,
"W30":0,
"W31":0,
"W32":0,
"W33":0,
"W34":0,
"W35":0,
"W36":0,
"W37":0,
"W38":0,
"W39":0,
"W40":0,
"W41":0,
"W42":0,
"W43":0,
"W44":0,
"W45":0,
"W46":0,
"W47":0,
"W48":0,
"W49":0,
"W50":0,
"W51":0,
"W52":0
}
]
},
{
"rowId":"Sales Units",
"dataRow":[
{
"W1":50,
"W2":0,
"W3":0,
"W4":0,
"W5":0,
"W6":0,
"W7":0,
"W8":0,
"W9":0,
"W10":0,
"W11":0,
"W12":0,
"W13":0,
"W14":20,
"W15":0,
"W16":0,
"W17":30,
"W18":0,
"W19":0,
"W20":0,
"W21":0,
"W22":0,
"W23":0,
"W24":0,
"W25":0,
"W26":0,
"W27":0,
"W28":0,
"W29":0,
"W30":0,
"W31":0,
"W32":0,
"W33":0,
"W34":0,
"W35":0,
"W36":0,
"W37":0,
"W38":0,
"W39":0,
"W40":0,
"W41":0,
"W42":0,
"W43":0,
"W44":0,
"W45":0,
"W46":0,
"W47":0,
"W48":0,
"W49":0,
"W50":0,
"W51":0,
"W52":0
}
]
}
]
}









share|improve this question





























    0














    I need to create multiple JSON files based on the ROW combinations.

    e.g. In below table there are 4 rows, so I need to produce 3 JSON files.

    I have provided a sample table below to be taken as source and sample JSON as well which we need to produce.

    In each JSON file, there should be data related to calendaryear|channel|division|gender|category



    If combination of calendaryear|channel|division|gender|category is repeated, we need to club those rows together in a single JSON file.



    If the value is not present for some week it needs to be filled with zero as given in JSON example



    calendaryear|channel|division|gender|category|netSales|salesUnits|weeknumber|

    2018|Digital| APPAREL| KIDS| CRICKET|12009.599999999993| 199.0| 2|

    2018|Digital| APPAREL| KIDS|COLLECTIONS| 8192.699999999999| 111.0| 2|

    2018|Digital|FOOTWEAR| MENS|COLLECTIONS|3767.3999999999996| 55.0| 2|

    2018|Digital| APPAREL| KIDS|COLLECTIONS| 808.24| 7.0| 4|


    diff JSON files have to be produced based on the uniqueKey,calendaryear|channel|division|gender|category



    {  
    "uniqueKey":"RY18_DIGITAL_APPAREL_KIDS_COLLECTIONS",
    "division":"APPAREL",
    "gender":"KIDS",
    "category":"COLLECTIONS",
    "channel":"DIGITAL",
    "year":"RY18",
    "dataRows":[
    {
    "rowId":"Net Sales",
    "dataRow":[
    {
    "W1":5000,
    "W2":0,
    "W3":0,
    "W4":0,
    "W5":0,
    "W6":0,
    "W7":0,
    "W8":0,
    "W9":0,
    "W10":0,
    "W11":0,
    "W12":0,
    "W13":0,
    "W14":2000,
    "W15":0,
    "W16":0,
    "W17":3000,
    "W18":0,
    "W19":0,
    "W20":0,
    "W21":0,
    "W22":0,
    "W23":0,
    "W24":0,
    "W25":0,
    "W26":0,
    "W27":0,
    "W28":0,
    "W29":0,
    "W30":0,
    "W31":0,
    "W32":0,
    "W33":0,
    "W34":0,
    "W35":0,
    "W36":0,
    "W37":0,
    "W38":0,
    "W39":0,
    "W40":0,
    "W41":0,
    "W42":0,
    "W43":0,
    "W44":0,
    "W45":0,
    "W46":0,
    "W47":0,
    "W48":0,
    "W49":0,
    "W50":0,
    "W51":0,
    "W52":0
    }
    ]
    },
    {
    "rowId":"Sales Units",
    "dataRow":[
    {
    "W1":50,
    "W2":0,
    "W3":0,
    "W4":0,
    "W5":0,
    "W6":0,
    "W7":0,
    "W8":0,
    "W9":0,
    "W10":0,
    "W11":0,
    "W12":0,
    "W13":0,
    "W14":20,
    "W15":0,
    "W16":0,
    "W17":30,
    "W18":0,
    "W19":0,
    "W20":0,
    "W21":0,
    "W22":0,
    "W23":0,
    "W24":0,
    "W25":0,
    "W26":0,
    "W27":0,
    "W28":0,
    "W29":0,
    "W30":0,
    "W31":0,
    "W32":0,
    "W33":0,
    "W34":0,
    "W35":0,
    "W36":0,
    "W37":0,
    "W38":0,
    "W39":0,
    "W40":0,
    "W41":0,
    "W42":0,
    "W43":0,
    "W44":0,
    "W45":0,
    "W46":0,
    "W47":0,
    "W48":0,
    "W49":0,
    "W50":0,
    "W51":0,
    "W52":0
    }
    ]
    }
    ]
    }









    share|improve this question



























      0












      0








      0







      I need to create multiple JSON files based on the ROW combinations.

      e.g. In below table there are 4 rows, so I need to produce 3 JSON files.

      I have provided a sample table below to be taken as source and sample JSON as well which we need to produce.

      In each JSON file, there should be data related to calendaryear|channel|division|gender|category



      If combination of calendaryear|channel|division|gender|category is repeated, we need to club those rows together in a single JSON file.



      If the value is not present for some week it needs to be filled with zero as given in JSON example



      calendaryear|channel|division|gender|category|netSales|salesUnits|weeknumber|

      2018|Digital| APPAREL| KIDS| CRICKET|12009.599999999993| 199.0| 2|

      2018|Digital| APPAREL| KIDS|COLLECTIONS| 8192.699999999999| 111.0| 2|

      2018|Digital|FOOTWEAR| MENS|COLLECTIONS|3767.3999999999996| 55.0| 2|

      2018|Digital| APPAREL| KIDS|COLLECTIONS| 808.24| 7.0| 4|


      diff JSON files have to be produced based on the uniqueKey,calendaryear|channel|division|gender|category



      {  
      "uniqueKey":"RY18_DIGITAL_APPAREL_KIDS_COLLECTIONS",
      "division":"APPAREL",
      "gender":"KIDS",
      "category":"COLLECTIONS",
      "channel":"DIGITAL",
      "year":"RY18",
      "dataRows":[
      {
      "rowId":"Net Sales",
      "dataRow":[
      {
      "W1":5000,
      "W2":0,
      "W3":0,
      "W4":0,
      "W5":0,
      "W6":0,
      "W7":0,
      "W8":0,
      "W9":0,
      "W10":0,
      "W11":0,
      "W12":0,
      "W13":0,
      "W14":2000,
      "W15":0,
      "W16":0,
      "W17":3000,
      "W18":0,
      "W19":0,
      "W20":0,
      "W21":0,
      "W22":0,
      "W23":0,
      "W24":0,
      "W25":0,
      "W26":0,
      "W27":0,
      "W28":0,
      "W29":0,
      "W30":0,
      "W31":0,
      "W32":0,
      "W33":0,
      "W34":0,
      "W35":0,
      "W36":0,
      "W37":0,
      "W38":0,
      "W39":0,
      "W40":0,
      "W41":0,
      "W42":0,
      "W43":0,
      "W44":0,
      "W45":0,
      "W46":0,
      "W47":0,
      "W48":0,
      "W49":0,
      "W50":0,
      "W51":0,
      "W52":0
      }
      ]
      },
      {
      "rowId":"Sales Units",
      "dataRow":[
      {
      "W1":50,
      "W2":0,
      "W3":0,
      "W4":0,
      "W5":0,
      "W6":0,
      "W7":0,
      "W8":0,
      "W9":0,
      "W10":0,
      "W11":0,
      "W12":0,
      "W13":0,
      "W14":20,
      "W15":0,
      "W16":0,
      "W17":30,
      "W18":0,
      "W19":0,
      "W20":0,
      "W21":0,
      "W22":0,
      "W23":0,
      "W24":0,
      "W25":0,
      "W26":0,
      "W27":0,
      "W28":0,
      "W29":0,
      "W30":0,
      "W31":0,
      "W32":0,
      "W33":0,
      "W34":0,
      "W35":0,
      "W36":0,
      "W37":0,
      "W38":0,
      "W39":0,
      "W40":0,
      "W41":0,
      "W42":0,
      "W43":0,
      "W44":0,
      "W45":0,
      "W46":0,
      "W47":0,
      "W48":0,
      "W49":0,
      "W50":0,
      "W51":0,
      "W52":0
      }
      ]
      }
      ]
      }









      share|improve this question















      I need to create multiple JSON files based on the ROW combinations.

      e.g. In below table there are 4 rows, so I need to produce 3 JSON files.

      I have provided a sample table below to be taken as source and sample JSON as well which we need to produce.

      In each JSON file, there should be data related to calendaryear|channel|division|gender|category



      If combination of calendaryear|channel|division|gender|category is repeated, we need to club those rows together in a single JSON file.



      If the value is not present for some week it needs to be filled with zero as given in JSON example



      calendaryear|channel|division|gender|category|netSales|salesUnits|weeknumber|

      2018|Digital| APPAREL| KIDS| CRICKET|12009.599999999993| 199.0| 2|

      2018|Digital| APPAREL| KIDS|COLLECTIONS| 8192.699999999999| 111.0| 2|

      2018|Digital|FOOTWEAR| MENS|COLLECTIONS|3767.3999999999996| 55.0| 2|

      2018|Digital| APPAREL| KIDS|COLLECTIONS| 808.24| 7.0| 4|


      diff JSON files have to be produced based on the uniqueKey,calendaryear|channel|division|gender|category



      {  
      "uniqueKey":"RY18_DIGITAL_APPAREL_KIDS_COLLECTIONS",
      "division":"APPAREL",
      "gender":"KIDS",
      "category":"COLLECTIONS",
      "channel":"DIGITAL",
      "year":"RY18",
      "dataRows":[
      {
      "rowId":"Net Sales",
      "dataRow":[
      {
      "W1":5000,
      "W2":0,
      "W3":0,
      "W4":0,
      "W5":0,
      "W6":0,
      "W7":0,
      "W8":0,
      "W9":0,
      "W10":0,
      "W11":0,
      "W12":0,
      "W13":0,
      "W14":2000,
      "W15":0,
      "W16":0,
      "W17":3000,
      "W18":0,
      "W19":0,
      "W20":0,
      "W21":0,
      "W22":0,
      "W23":0,
      "W24":0,
      "W25":0,
      "W26":0,
      "W27":0,
      "W28":0,
      "W29":0,
      "W30":0,
      "W31":0,
      "W32":0,
      "W33":0,
      "W34":0,
      "W35":0,
      "W36":0,
      "W37":0,
      "W38":0,
      "W39":0,
      "W40":0,
      "W41":0,
      "W42":0,
      "W43":0,
      "W44":0,
      "W45":0,
      "W46":0,
      "W47":0,
      "W48":0,
      "W49":0,
      "W50":0,
      "W51":0,
      "W52":0
      }
      ]
      },
      {
      "rowId":"Sales Units",
      "dataRow":[
      {
      "W1":50,
      "W2":0,
      "W3":0,
      "W4":0,
      "W5":0,
      "W6":0,
      "W7":0,
      "W8":0,
      "W9":0,
      "W10":0,
      "W11":0,
      "W12":0,
      "W13":0,
      "W14":20,
      "W15":0,
      "W16":0,
      "W17":30,
      "W18":0,
      "W19":0,
      "W20":0,
      "W21":0,
      "W22":0,
      "W23":0,
      "W24":0,
      "W25":0,
      "W26":0,
      "W27":0,
      "W28":0,
      "W29":0,
      "W30":0,
      "W31":0,
      "W32":0,
      "W33":0,
      "W34":0,
      "W35":0,
      "W36":0,
      "W37":0,
      "W38":0,
      "W39":0,
      "W40":0,
      "W41":0,
      "W42":0,
      "W43":0,
      "W44":0,
      "W45":0,
      "W46":0,
      "W47":0,
      "W48":0,
      "W49":0,
      "W50":0,
      "W51":0,
      "W52":0
      }
      ]
      }
      ]
      }






      scala apache-spark apache-spark-sql






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      share|improve this question













      share|improve this question




      share|improve this question








      edited Dec 27 at 14:22

























      asked Dec 27 at 13:23









      Yogesh Rustagi

      65




      65





























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