Conditionally select fields from an array in MongoDB document

up vote
1
down vote

favorite

I am relatively new to mongodb. I have a document like:

{

    "_id" : ObjectId("5bcf50938847292ecbadc3c1"),

    "obsrvblKy" : "ABCDEFGHIJ",

    "obsrvblKnd" : "PRICE",

    "pblshrNm" : "BT",

    "pblshrSrc" : "BT",

    "dstrbtr" : "BT",

    "crtdOn" : ISODate("2018-10-23T12:47:15.544Z"),

    "qut" : [

            {

                    "qlfr" : "BID",

                    "vl" : 100,

                    "mrkTmstmp" : ISODate("2018-10-23T12:47:05.524Z"),

                    "mrkDt" : ISODate("2018-10-23T00:00:00Z")

            },

                            {

                    "qlfr" : "ASK",

                    "vl" : 101,

                    "mrkTmstmp" : ISODate("2018-10-23T12:47:05.524Z"),

                    "mrkDt" : ISODate("2018-10-23T00:00:00Z")

            },

                            {

                    "qlfr" : "MID",

                    "vl" : 100.50,

                    "mrkTmstmp" : ISODate("2018-10-23T12:47:05.524Z"),

                    "mrkDt" : ISODate("2018-10-23T00:00:00Z")

            }

    ],

    "mrkCurrncy" : "USD",

    "sttlmntDt" : "2018-10-30"        

}

I want this document to be transformed to a more simpler version enabling it to be downloaded into a CSV format.

{

    "obsrvblKy" : "ABCDEFGHIJ",

    "obsrvblKnd" : "PRICE",

    "pblshrNm" : "BT",

    "pblshrSrc" : "BT",

    "dstrbtr" : "BT",

    "Bid": 100,

    "Bid-Timestamp": ISODate("2018-10-23T12:47:05.524Z"),

    "Ask": 101,

    "Ask-Timestamp": ISODate("2018-10-23T12:47:05.524Z"),

    "Mid": 100.50,

    "Mid-Timestamp": ISODate("2018-10-23T12:47:05.524Z")

}

Can someone point me to how this can be done.

asked Nov 11 at 14:56

Senthil Vaithilingam

what hve you tried so far ?
– 0.sh
Nov 11 at 15:28

add a comment |

up vote
1
down vote

favorite

I am relatively new to mongodb. I have a document like:

{

    "_id" : ObjectId("5bcf50938847292ecbadc3c1"),

    "obsrvblKy" : "ABCDEFGHIJ",

    "obsrvblKnd" : "PRICE",

    "pblshrNm" : "BT",

    "pblshrSrc" : "BT",

    "dstrbtr" : "BT",

    "crtdOn" : ISODate("2018-10-23T12:47:15.544Z"),

    "qut" : [

            {

                    "qlfr" : "BID",

                    "vl" : 100,

                    "mrkTmstmp" : ISODate("2018-10-23T12:47:05.524Z"),

                    "mrkDt" : ISODate("2018-10-23T00:00:00Z")

            },

                            {

                    "qlfr" : "ASK",

                    "vl" : 101,

                    "mrkTmstmp" : ISODate("2018-10-23T12:47:05.524Z"),

                    "mrkDt" : ISODate("2018-10-23T00:00:00Z")

            },

                            {

                    "qlfr" : "MID",

                    "vl" : 100.50,

                    "mrkTmstmp" : ISODate("2018-10-23T12:47:05.524Z"),

                    "mrkDt" : ISODate("2018-10-23T00:00:00Z")

            }

    ],

    "mrkCurrncy" : "USD",

    "sttlmntDt" : "2018-10-30"        

}

I want this document to be transformed to a more simpler version enabling it to be downloaded into a CSV format.

{

    "obsrvblKy" : "ABCDEFGHIJ",

    "obsrvblKnd" : "PRICE",

    "pblshrNm" : "BT",

    "pblshrSrc" : "BT",

    "dstrbtr" : "BT",

    "Bid": 100,

    "Bid-Timestamp": ISODate("2018-10-23T12:47:05.524Z"),

    "Ask": 101,

    "Ask-Timestamp": ISODate("2018-10-23T12:47:05.524Z"),

    "Mid": 100.50,

    "Mid-Timestamp": ISODate("2018-10-23T12:47:05.524Z")

}

Can someone point me to how this can be done.

asked Nov 11 at 14:56

Senthil Vaithilingam

what hve you tried so far ?
– 0.sh
Nov 11 at 15:28

add a comment |

up vote
1
down vote

favorite

I am relatively new to mongodb. I have a document like:

{

    "_id" : ObjectId("5bcf50938847292ecbadc3c1"),

    "obsrvblKy" : "ABCDEFGHIJ",

    "obsrvblKnd" : "PRICE",

    "pblshrNm" : "BT",

    "pblshrSrc" : "BT",

    "dstrbtr" : "BT",

    "crtdOn" : ISODate("2018-10-23T12:47:15.544Z"),

    "qut" : [

            {

                    "qlfr" : "BID",

                    "vl" : 100,

                    "mrkTmstmp" : ISODate("2018-10-23T12:47:05.524Z"),

                    "mrkDt" : ISODate("2018-10-23T00:00:00Z")

            },

                            {

                    "qlfr" : "ASK",

                    "vl" : 101,

                    "mrkTmstmp" : ISODate("2018-10-23T12:47:05.524Z"),

                    "mrkDt" : ISODate("2018-10-23T00:00:00Z")

            },

                            {

                    "qlfr" : "MID",

                    "vl" : 100.50,

                    "mrkTmstmp" : ISODate("2018-10-23T12:47:05.524Z"),

                    "mrkDt" : ISODate("2018-10-23T00:00:00Z")

            }

    ],

    "mrkCurrncy" : "USD",

    "sttlmntDt" : "2018-10-30"        

}

I want this document to be transformed to a more simpler version enabling it to be downloaded into a CSV format.

{

    "obsrvblKy" : "ABCDEFGHIJ",

    "obsrvblKnd" : "PRICE",

    "pblshrNm" : "BT",

    "pblshrSrc" : "BT",

    "dstrbtr" : "BT",

    "Bid": 100,

    "Bid-Timestamp": ISODate("2018-10-23T12:47:05.524Z"),

    "Ask": 101,

    "Ask-Timestamp": ISODate("2018-10-23T12:47:05.524Z"),

    "Mid": 100.50,

    "Mid-Timestamp": ISODate("2018-10-23T12:47:05.524Z")

}

Can someone point me to how this can be done.

asked Nov 11 at 14:56

Senthil Vaithilingam

I am relatively new to mongodb. I have a document like:

{

    "_id" : ObjectId("5bcf50938847292ecbadc3c1"),

    "obsrvblKy" : "ABCDEFGHIJ",

    "obsrvblKnd" : "PRICE",

    "pblshrNm" : "BT",

    "pblshrSrc" : "BT",

    "dstrbtr" : "BT",

    "crtdOn" : ISODate("2018-10-23T12:47:15.544Z"),

    "qut" : [

            {

                    "qlfr" : "BID",

                    "vl" : 100,

                    "mrkTmstmp" : ISODate("2018-10-23T12:47:05.524Z"),

                    "mrkDt" : ISODate("2018-10-23T00:00:00Z")

            },

                            {

                    "qlfr" : "ASK",

                    "vl" : 101,

                    "mrkTmstmp" : ISODate("2018-10-23T12:47:05.524Z"),

                    "mrkDt" : ISODate("2018-10-23T00:00:00Z")

            },

                            {

                    "qlfr" : "MID",

                    "vl" : 100.50,

                    "mrkTmstmp" : ISODate("2018-10-23T12:47:05.524Z"),

                    "mrkDt" : ISODate("2018-10-23T00:00:00Z")

            }

    ],

    "mrkCurrncy" : "USD",

    "sttlmntDt" : "2018-10-30"        

}

I want this document to be transformed to a more simpler version enabling it to be downloaded into a CSV format.

{

    "obsrvblKy" : "ABCDEFGHIJ",

    "obsrvblKnd" : "PRICE",

    "pblshrNm" : "BT",

    "pblshrSrc" : "BT",

    "dstrbtr" : "BT",

    "Bid": 100,

    "Bid-Timestamp": ISODate("2018-10-23T12:47:05.524Z"),

    "Ask": 101,

    "Ask-Timestamp": ISODate("2018-10-23T12:47:05.524Z"),

    "Mid": 100.50,

    "Mid-Timestamp": ISODate("2018-10-23T12:47:05.524Z")

}

Can someone point me to how this can be done.

mongodb mongodb-query aggregation-framework

asked Nov 11 at 14:56

Senthil Vaithilingam

asked Nov 11 at 14:56

Senthil Vaithilingam

asked Nov 11 at 14:56

Senthil Vaithilingam

asked Nov 11 at 14:56

Senthil Vaithilingam

asked Nov 11 at 14:56

Senthil Vaithilingam

what hve you tried so far ?
– 0.sh
Nov 11 at 15:28

add a comment |

what hve you tried so far ?
– 0.sh
Nov 11 at 15:28

what hve you tried so far ?
– 0.sh
Nov 11 at 15:28

add a comment |

2 Answers
2

active

oldest

votes

up vote
0
down vote

You can use below aggregation

db.collection.aggregate([

  { "$replaceRoot": {

    "newRoot": {

      "$mergeObjects": [

        "$$ROOT",

        { "$arrayToObject": {

          "$reduce": {

            "input": "$qut",

            "initialValue": ,

            "in": {

              "$concatArrays": [

                [

                  { "k": "$$this.qlfr", "v": "$$this.vl" },

                  { "k": { "$concat": ["$$this.qlfr", "-", "TimeStamp"] }, "v": "$$this.mrkTmstmp" }

                ],

                "$$value"

              ]

            }

          }

        }}

      ]

    }

  }},

  { "$project": { "qut": 0 }}

])

Output

[

  {

    "ASK": 101,

    "ASK-TimeStamp": ISODate("2018-10-23T12:47:05.524Z"),

    "BID": 100,

    "BID-TimeStamp": ISODate("2018-10-23T12:47:05.524Z"),

    "MID": 100.5,

    "MID-TimeStamp": ISODate("2018-10-23T12:47:05.524Z"),

    "_id": ObjectId("5bcf50938847292ecbadc3c1"),

    "crtdOn": ISODate("2018-10-23T12:47:15.544Z"),

    "dstrbtr": "BT",

    "mrkCurrncy": "USD",

    "obsrvblKnd": "PRICE",

    "obsrvblKy": "ABCDEFGHIJ",

    "pblshrNm": "BT",

    "pblshrSrc": "BT",

    "sttlmntDt": "2018-10-30"

  }

]

edited Nov 11 at 16:46

answered Nov 11 at 16:40

Anthony Winzlet

12.7k41038

add a comment |

up vote
0
down vote

You can below aggregation in 3.6 version.

db.colname.aggregate([

{"$replaceRoot":{

  "newRoot":{

    "$reduce":{

      "input":"$qut",

      "initialValue":"$$ROOT",

      "in":{

        "$mergeObjects":[

          {"$arrayToObject":[[

            ["$$this.qlfr","$$this.vl"],

            [{"$concat":["$$this.qlfr","-","TimeStamp"]},"$$this.mrkTmstmp"]

          ]]},

          "$$value"

        ]

      }

    }

  }

}},

{"$project":{"crtdOn":0,"qut":0,"mrkCurrncy":0,"sttlmntDt":0}}

])

edited Nov 11 at 17:25

answered Nov 11 at 15:44

Veeram

37.6k33157

Did the answer work for you ?
– Veeram
Nov 13 at 12:28

add a comment |

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2 Answers
2

active

oldest

votes

2 Answers
2

active

oldest

votes

up vote
0
down vote

You can use below aggregation

db.collection.aggregate([

  { "$replaceRoot": {

    "newRoot": {

      "$mergeObjects": [

        "$$ROOT",

        { "$arrayToObject": {

          "$reduce": {

            "input": "$qut",

            "initialValue": ,

            "in": {

              "$concatArrays": [

                [

                  { "k": "$$this.qlfr", "v": "$$this.vl" },

                  { "k": { "$concat": ["$$this.qlfr", "-", "TimeStamp"] }, "v": "$$this.mrkTmstmp" }

                ],

                "$$value"

              ]

            }

          }

        }}

      ]

    }

  }},

  { "$project": { "qut": 0 }}

])

Output

[

  {

    "ASK": 101,

    "ASK-TimeStamp": ISODate("2018-10-23T12:47:05.524Z"),

    "BID": 100,

    "BID-TimeStamp": ISODate("2018-10-23T12:47:05.524Z"),

    "MID": 100.5,

    "MID-TimeStamp": ISODate("2018-10-23T12:47:05.524Z"),

    "_id": ObjectId("5bcf50938847292ecbadc3c1"),

    "crtdOn": ISODate("2018-10-23T12:47:15.544Z"),

    "dstrbtr": "BT",

    "mrkCurrncy": "USD",

    "obsrvblKnd": "PRICE",

    "obsrvblKy": "ABCDEFGHIJ",

    "pblshrNm": "BT",

    "pblshrSrc": "BT",

    "sttlmntDt": "2018-10-30"

  }

]

edited Nov 11 at 16:46

answered Nov 11 at 16:40

Anthony Winzlet

12.7k41038

add a comment |

up vote
0
down vote

You can use below aggregation

db.collection.aggregate([

  { "$replaceRoot": {

    "newRoot": {

      "$mergeObjects": [

        "$$ROOT",

        { "$arrayToObject": {

          "$reduce": {

            "input": "$qut",

            "initialValue": ,

            "in": {

              "$concatArrays": [

                [

                  { "k": "$$this.qlfr", "v": "$$this.vl" },

                  { "k": { "$concat": ["$$this.qlfr", "-", "TimeStamp"] }, "v": "$$this.mrkTmstmp" }

                ],

                "$$value"

              ]

            }

          }

        }}

      ]

    }

  }},

  { "$project": { "qut": 0 }}

])

Output

[

  {

    "ASK": 101,

    "ASK-TimeStamp": ISODate("2018-10-23T12:47:05.524Z"),

    "BID": 100,

    "BID-TimeStamp": ISODate("2018-10-23T12:47:05.524Z"),

    "MID": 100.5,

    "MID-TimeStamp": ISODate("2018-10-23T12:47:05.524Z"),

    "_id": ObjectId("5bcf50938847292ecbadc3c1"),

    "crtdOn": ISODate("2018-10-23T12:47:15.544Z"),

    "dstrbtr": "BT",

    "mrkCurrncy": "USD",

    "obsrvblKnd": "PRICE",

    "obsrvblKy": "ABCDEFGHIJ",

    "pblshrNm": "BT",

    "pblshrSrc": "BT",

    "sttlmntDt": "2018-10-30"

  }

]

edited Nov 11 at 16:46

answered Nov 11 at 16:40

Anthony Winzlet

12.7k41038

add a comment |

up vote
0
down vote

You can use below aggregation

db.collection.aggregate([

  { "$replaceRoot": {

    "newRoot": {

      "$mergeObjects": [

        "$$ROOT",

        { "$arrayToObject": {

          "$reduce": {

            "input": "$qut",

            "initialValue": ,

            "in": {

              "$concatArrays": [

                [

                  { "k": "$$this.qlfr", "v": "$$this.vl" },

                  { "k": { "$concat": ["$$this.qlfr", "-", "TimeStamp"] }, "v": "$$this.mrkTmstmp" }

                ],

                "$$value"

              ]

            }

          }

        }}

      ]

    }

  }},

  { "$project": { "qut": 0 }}

])

Output

[

  {

    "ASK": 101,

    "ASK-TimeStamp": ISODate("2018-10-23T12:47:05.524Z"),

    "BID": 100,

    "BID-TimeStamp": ISODate("2018-10-23T12:47:05.524Z"),

    "MID": 100.5,

    "MID-TimeStamp": ISODate("2018-10-23T12:47:05.524Z"),

    "_id": ObjectId("5bcf50938847292ecbadc3c1"),

    "crtdOn": ISODate("2018-10-23T12:47:15.544Z"),

    "dstrbtr": "BT",

    "mrkCurrncy": "USD",

    "obsrvblKnd": "PRICE",

    "obsrvblKy": "ABCDEFGHIJ",

    "pblshrNm": "BT",

    "pblshrSrc": "BT",

    "sttlmntDt": "2018-10-30"

  }

]

edited Nov 11 at 16:46

answered Nov 11 at 16:40

Anthony Winzlet

12.7k41038

You can use below aggregation

db.collection.aggregate([

  { "$replaceRoot": {

    "newRoot": {

      "$mergeObjects": [

        "$$ROOT",

        { "$arrayToObject": {

          "$reduce": {

            "input": "$qut",

            "initialValue": ,

            "in": {

              "$concatArrays": [

                [

                  { "k": "$$this.qlfr", "v": "$$this.vl" },

                  { "k": { "$concat": ["$$this.qlfr", "-", "TimeStamp"] }, "v": "$$this.mrkTmstmp" }

                ],

                "$$value"

              ]

            }

          }

        }}

      ]

    }

  }},

  { "$project": { "qut": 0 }}

])

Output

[

  {

    "ASK": 101,

    "ASK-TimeStamp": ISODate("2018-10-23T12:47:05.524Z"),

    "BID": 100,

    "BID-TimeStamp": ISODate("2018-10-23T12:47:05.524Z"),

    "MID": 100.5,

    "MID-TimeStamp": ISODate("2018-10-23T12:47:05.524Z"),

    "_id": ObjectId("5bcf50938847292ecbadc3c1"),

    "crtdOn": ISODate("2018-10-23T12:47:15.544Z"),

    "dstrbtr": "BT",

    "mrkCurrncy": "USD",

    "obsrvblKnd": "PRICE",

    "obsrvblKy": "ABCDEFGHIJ",

    "pblshrNm": "BT",

    "pblshrSrc": "BT",

    "sttlmntDt": "2018-10-30"

  }

]

edited Nov 11 at 16:46

answered Nov 11 at 16:40

Anthony Winzlet

12.7k41038

edited Nov 11 at 16:46

answered Nov 11 at 16:40

Anthony Winzlet

12.7k41038

answered Nov 11 at 16:40

Anthony Winzlet

12.7k41038

answered Nov 11 at 16:40

Anthony Winzlet

12.7k41038

add a comment |

up vote
0
down vote

You can below aggregation in 3.6 version.

db.colname.aggregate([

{"$replaceRoot":{

  "newRoot":{

    "$reduce":{

      "input":"$qut",

      "initialValue":"$$ROOT",

      "in":{

        "$mergeObjects":[

          {"$arrayToObject":[[

            ["$$this.qlfr","$$this.vl"],

            [{"$concat":["$$this.qlfr","-","TimeStamp"]},"$$this.mrkTmstmp"]

          ]]},

          "$$value"

        ]

      }

    }

  }

}},

{"$project":{"crtdOn":0,"qut":0,"mrkCurrncy":0,"sttlmntDt":0}}

])

edited Nov 11 at 17:25

answered Nov 11 at 15:44

Veeram

37.6k33157

Did the answer work for you ?
– Veeram
Nov 13 at 12:28

add a comment |

up vote
0
down vote

You can below aggregation in 3.6 version.

db.colname.aggregate([

{"$replaceRoot":{

  "newRoot":{

    "$reduce":{

      "input":"$qut",

      "initialValue":"$$ROOT",

      "in":{

        "$mergeObjects":[

          {"$arrayToObject":[[

            ["$$this.qlfr","$$this.vl"],

            [{"$concat":["$$this.qlfr","-","TimeStamp"]},"$$this.mrkTmstmp"]

          ]]},

          "$$value"

        ]

      }

    }

  }

}},

{"$project":{"crtdOn":0,"qut":0,"mrkCurrncy":0,"sttlmntDt":0}}

])

edited Nov 11 at 17:25

answered Nov 11 at 15:44

Veeram

37.6k33157

Did the answer work for you ?
– Veeram
Nov 13 at 12:28

add a comment |

up vote
0
down vote

You can below aggregation in 3.6 version.

db.colname.aggregate([

{"$replaceRoot":{

  "newRoot":{

    "$reduce":{

      "input":"$qut",

      "initialValue":"$$ROOT",

      "in":{

        "$mergeObjects":[

          {"$arrayToObject":[[

            ["$$this.qlfr","$$this.vl"],

            [{"$concat":["$$this.qlfr","-","TimeStamp"]},"$$this.mrkTmstmp"]

          ]]},

          "$$value"

        ]

      }

    }

  }

}},

{"$project":{"crtdOn":0,"qut":0,"mrkCurrncy":0,"sttlmntDt":0}}

])

edited Nov 11 at 17:25

answered Nov 11 at 15:44

Veeram

37.6k33157

You can below aggregation in 3.6 version.

db.colname.aggregate([

{"$replaceRoot":{

  "newRoot":{

    "$reduce":{

      "input":"$qut",

      "initialValue":"$$ROOT",

      "in":{

        "$mergeObjects":[

          {"$arrayToObject":[[

            ["$$this.qlfr","$$this.vl"],

            [{"$concat":["$$this.qlfr","-","TimeStamp"]},"$$this.mrkTmstmp"]

          ]]},

          "$$value"

        ]

      }

    }

  }

}},

{"$project":{"crtdOn":0,"qut":0,"mrkCurrncy":0,"sttlmntDt":0}}

])

edited Nov 11 at 17:25

answered Nov 11 at 15:44

Veeram

37.6k33157

edited Nov 11 at 17:25

answered Nov 11 at 15:44

Veeram

37.6k33157

answered Nov 11 at 15:44

Veeram

37.6k33157

answered Nov 11 at 15:44

Veeram

37.6k33157

Did the answer work for you ?
– Veeram
Nov 13 at 12:28

add a comment |

Did the answer work for you ?
– Veeram
Nov 13 at 12:28

Did the answer work for you ?
– Veeram
Nov 13 at 12:28

add a comment |

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