Mongo query for the below result












0















I have a scenario where I want to find all the documents where the same value exists for different transaction ID’s. If the value exists in two documents for the same transactionID’s then it should not print those documents.
Below are few sample documents.



Document 1:
{
"_id" : 1,
"trxId" : “abcd”,
“transactionID” : “1234”,
“Value” : “abcd1234hjgn”
}

Document 2:
{
"_id" : 2,
"trxId" : “efgh”,
“transactionID” : “5678”,
“Value” : “abcd”
}

Document 3:
{
"_id" : 1,
"trxId" : “ijkl”,
“transactionID” : “12345”,
“Value” : “abcd1234hjgn”
}

Document 4:
{
"_id" : 1,
"trxId" : “abcd”,
“transactionID” : “1234”,
“Value” : “abcd1234hjgn”
}


The query should print only document 1 and document 2 because “Value” : “abcd1234hjgn” exists for two different transactionID’s.
The result should be below. How do I accomplish this?



{
"_id" : 1,
"trxId" : “abcd”,
“transactionID” : “1234”,
“Value” : “abcd1234hjgn”
}

{
"_id" : 1,
"trxId" : “ijkl”,
“transactionID” : “12345”,
“Value” : “abcd1234hjgn”
}









share|improve this question





























    0















    I have a scenario where I want to find all the documents where the same value exists for different transaction ID’s. If the value exists in two documents for the same transactionID’s then it should not print those documents.
    Below are few sample documents.



    Document 1:
    {
    "_id" : 1,
    "trxId" : “abcd”,
    “transactionID” : “1234”,
    “Value” : “abcd1234hjgn”
    }

    Document 2:
    {
    "_id" : 2,
    "trxId" : “efgh”,
    “transactionID” : “5678”,
    “Value” : “abcd”
    }

    Document 3:
    {
    "_id" : 1,
    "trxId" : “ijkl”,
    “transactionID” : “12345”,
    “Value” : “abcd1234hjgn”
    }

    Document 4:
    {
    "_id" : 1,
    "trxId" : “abcd”,
    “transactionID” : “1234”,
    “Value” : “abcd1234hjgn”
    }


    The query should print only document 1 and document 2 because “Value” : “abcd1234hjgn” exists for two different transactionID’s.
    The result should be below. How do I accomplish this?



    {
    "_id" : 1,
    "trxId" : “abcd”,
    “transactionID” : “1234”,
    “Value” : “abcd1234hjgn”
    }

    {
    "_id" : 1,
    "trxId" : “ijkl”,
    “transactionID” : “12345”,
    “Value” : “abcd1234hjgn”
    }









    share|improve this question



























      0












      0








      0








      I have a scenario where I want to find all the documents where the same value exists for different transaction ID’s. If the value exists in two documents for the same transactionID’s then it should not print those documents.
      Below are few sample documents.



      Document 1:
      {
      "_id" : 1,
      "trxId" : “abcd”,
      “transactionID” : “1234”,
      “Value” : “abcd1234hjgn”
      }

      Document 2:
      {
      "_id" : 2,
      "trxId" : “efgh”,
      “transactionID” : “5678”,
      “Value” : “abcd”
      }

      Document 3:
      {
      "_id" : 1,
      "trxId" : “ijkl”,
      “transactionID” : “12345”,
      “Value” : “abcd1234hjgn”
      }

      Document 4:
      {
      "_id" : 1,
      "trxId" : “abcd”,
      “transactionID” : “1234”,
      “Value” : “abcd1234hjgn”
      }


      The query should print only document 1 and document 2 because “Value” : “abcd1234hjgn” exists for two different transactionID’s.
      The result should be below. How do I accomplish this?



      {
      "_id" : 1,
      "trxId" : “abcd”,
      “transactionID” : “1234”,
      “Value” : “abcd1234hjgn”
      }

      {
      "_id" : 1,
      "trxId" : “ijkl”,
      “transactionID” : “12345”,
      “Value” : “abcd1234hjgn”
      }









      share|improve this question
















      I have a scenario where I want to find all the documents where the same value exists for different transaction ID’s. If the value exists in two documents for the same transactionID’s then it should not print those documents.
      Below are few sample documents.



      Document 1:
      {
      "_id" : 1,
      "trxId" : “abcd”,
      “transactionID” : “1234”,
      “Value” : “abcd1234hjgn”
      }

      Document 2:
      {
      "_id" : 2,
      "trxId" : “efgh”,
      “transactionID” : “5678”,
      “Value” : “abcd”
      }

      Document 3:
      {
      "_id" : 1,
      "trxId" : “ijkl”,
      “transactionID” : “12345”,
      “Value” : “abcd1234hjgn”
      }

      Document 4:
      {
      "_id" : 1,
      "trxId" : “abcd”,
      “transactionID” : “1234”,
      “Value” : “abcd1234hjgn”
      }


      The query should print only document 1 and document 2 because “Value” : “abcd1234hjgn” exists for two different transactionID’s.
      The result should be below. How do I accomplish this?



      {
      "_id" : 1,
      "trxId" : “abcd”,
      “transactionID” : “1234”,
      “Value” : “abcd1234hjgn”
      }

      {
      "_id" : 1,
      "trxId" : “ijkl”,
      “transactionID” : “12345”,
      “Value” : “abcd1234hjgn”
      }






      mongodb mongodb-query






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 17 '18 at 4:54









      Anthony Winzlet

      14.7k41339




      14.7k41339










      asked Nov 16 '18 at 22:40









      SSKSSK

      135




      135
























          1 Answer
          1






          active

          oldest

          votes


















          0














          This is a long winded way but it gets to the result.






          db.getCollection("stackoverflow").aggregate(

          // Pipeline
          [
          // Stage 1
          {
          $group: {
          _id: '$Value',
          records: {
          $push: {
          trxId: '$trxId',
          transactionID: '$transactionID',
          Value: '$Value',
          _id: '$_id'
          }
          }
          }
          },

          // Stage 2
          {
          $addFields: {
          duplicates: {
          $size: "$records"
          }
          }
          },

          // Stage 3
          {
          $match: {
          duplicates: {
          $gt: 1
          }
          }
          },

          // Stage 4
          {
          $unwind: {
          path: "$records"
          }
          },

          // Stage 5
          {
          $project: {
          _id: '$records._id',
          transactionID: '$records.transactionID',
          Value: '$records.Value',
          trxld: '$records.trxId'
          }
          },

          ]

          );








          share|improve this answer























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            1 Answer
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            active

            oldest

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            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            0














            This is a long winded way but it gets to the result.






            db.getCollection("stackoverflow").aggregate(

            // Pipeline
            [
            // Stage 1
            {
            $group: {
            _id: '$Value',
            records: {
            $push: {
            trxId: '$trxId',
            transactionID: '$transactionID',
            Value: '$Value',
            _id: '$_id'
            }
            }
            }
            },

            // Stage 2
            {
            $addFields: {
            duplicates: {
            $size: "$records"
            }
            }
            },

            // Stage 3
            {
            $match: {
            duplicates: {
            $gt: 1
            }
            }
            },

            // Stage 4
            {
            $unwind: {
            path: "$records"
            }
            },

            // Stage 5
            {
            $project: {
            _id: '$records._id',
            transactionID: '$records.transactionID',
            Value: '$records.Value',
            trxld: '$records.trxId'
            }
            },

            ]

            );








            share|improve this answer




























              0














              This is a long winded way but it gets to the result.






              db.getCollection("stackoverflow").aggregate(

              // Pipeline
              [
              // Stage 1
              {
              $group: {
              _id: '$Value',
              records: {
              $push: {
              trxId: '$trxId',
              transactionID: '$transactionID',
              Value: '$Value',
              _id: '$_id'
              }
              }
              }
              },

              // Stage 2
              {
              $addFields: {
              duplicates: {
              $size: "$records"
              }
              }
              },

              // Stage 3
              {
              $match: {
              duplicates: {
              $gt: 1
              }
              }
              },

              // Stage 4
              {
              $unwind: {
              path: "$records"
              }
              },

              // Stage 5
              {
              $project: {
              _id: '$records._id',
              transactionID: '$records.transactionID',
              Value: '$records.Value',
              trxld: '$records.trxId'
              }
              },

              ]

              );








              share|improve this answer


























                0












                0








                0







                This is a long winded way but it gets to the result.






                db.getCollection("stackoverflow").aggregate(

                // Pipeline
                [
                // Stage 1
                {
                $group: {
                _id: '$Value',
                records: {
                $push: {
                trxId: '$trxId',
                transactionID: '$transactionID',
                Value: '$Value',
                _id: '$_id'
                }
                }
                }
                },

                // Stage 2
                {
                $addFields: {
                duplicates: {
                $size: "$records"
                }
                }
                },

                // Stage 3
                {
                $match: {
                duplicates: {
                $gt: 1
                }
                }
                },

                // Stage 4
                {
                $unwind: {
                path: "$records"
                }
                },

                // Stage 5
                {
                $project: {
                _id: '$records._id',
                transactionID: '$records.transactionID',
                Value: '$records.Value',
                trxld: '$records.trxId'
                }
                },

                ]

                );








                share|improve this answer













                This is a long winded way but it gets to the result.






                db.getCollection("stackoverflow").aggregate(

                // Pipeline
                [
                // Stage 1
                {
                $group: {
                _id: '$Value',
                records: {
                $push: {
                trxId: '$trxId',
                transactionID: '$transactionID',
                Value: '$Value',
                _id: '$_id'
                }
                }
                }
                },

                // Stage 2
                {
                $addFields: {
                duplicates: {
                $size: "$records"
                }
                }
                },

                // Stage 3
                {
                $match: {
                duplicates: {
                $gt: 1
                }
                }
                },

                // Stage 4
                {
                $unwind: {
                path: "$records"
                }
                },

                // Stage 5
                {
                $project: {
                _id: '$records._id',
                transactionID: '$records.transactionID',
                Value: '$records.Value',
                trxld: '$records.trxId'
                }
                },

                ]

                );








                db.getCollection("stackoverflow").aggregate(

                // Pipeline
                [
                // Stage 1
                {
                $group: {
                _id: '$Value',
                records: {
                $push: {
                trxId: '$trxId',
                transactionID: '$transactionID',
                Value: '$Value',
                _id: '$_id'
                }
                }
                }
                },

                // Stage 2
                {
                $addFields: {
                duplicates: {
                $size: "$records"
                }
                }
                },

                // Stage 3
                {
                $match: {
                duplicates: {
                $gt: 1
                }
                }
                },

                // Stage 4
                {
                $unwind: {
                path: "$records"
                }
                },

                // Stage 5
                {
                $project: {
                _id: '$records._id',
                transactionID: '$records.transactionID',
                Value: '$records.Value',
                trxld: '$records.trxId'
                }
                },

                ]

                );





                db.getCollection("stackoverflow").aggregate(

                // Pipeline
                [
                // Stage 1
                {
                $group: {
                _id: '$Value',
                records: {
                $push: {
                trxId: '$trxId',
                transactionID: '$transactionID',
                Value: '$Value',
                _id: '$_id'
                }
                }
                }
                },

                // Stage 2
                {
                $addFields: {
                duplicates: {
                $size: "$records"
                }
                }
                },

                // Stage 3
                {
                $match: {
                duplicates: {
                $gt: 1
                }
                }
                },

                // Stage 4
                {
                $unwind: {
                path: "$records"
                }
                },

                // Stage 5
                {
                $project: {
                _id: '$records._id',
                transactionID: '$records.transactionID',
                Value: '$records.Value',
                trxld: '$records.trxId'
                }
                },

                ]

                );






                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 17 '18 at 2:36









                Aadhi ViveAadhi Vive

                6511




                6511






























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