Unwind dictionary values in mongodb aggregation framework












1















I need to create some plots from single documents existing in mongodb. I can only use the mongodb aggregation framework (so for example I cannot just pull the documents into python and work with it there). I am using the query builder of metabase, so I am limited from this regard.



In order to do this, I am first using some $match queries in order to identify the documents that I need to look at (these are predefined and static). After the $match stage, I am left with one document (this is ok) with the following structure.



{
"id": 1,
"locs": {
"a":1,
"b":2,
"c":3
}
}


I need to change this structure to something like this:



[{"a":1}, {"b":2}, {"c":3"}]



or any other form that would allow me to create pie charts out of the structure.



Thanks!










share|improve this question





























    1















    I need to create some plots from single documents existing in mongodb. I can only use the mongodb aggregation framework (so for example I cannot just pull the documents into python and work with it there). I am using the query builder of metabase, so I am limited from this regard.



    In order to do this, I am first using some $match queries in order to identify the documents that I need to look at (these are predefined and static). After the $match stage, I am left with one document (this is ok) with the following structure.



    {
    "id": 1,
    "locs": {
    "a":1,
    "b":2,
    "c":3
    }
    }


    I need to change this structure to something like this:



    [{"a":1}, {"b":2}, {"c":3"}]



    or any other form that would allow me to create pie charts out of the structure.



    Thanks!










    share|improve this question



























      1












      1








      1








      I need to create some plots from single documents existing in mongodb. I can only use the mongodb aggregation framework (so for example I cannot just pull the documents into python and work with it there). I am using the query builder of metabase, so I am limited from this regard.



      In order to do this, I am first using some $match queries in order to identify the documents that I need to look at (these are predefined and static). After the $match stage, I am left with one document (this is ok) with the following structure.



      {
      "id": 1,
      "locs": {
      "a":1,
      "b":2,
      "c":3
      }
      }


      I need to change this structure to something like this:



      [{"a":1}, {"b":2}, {"c":3"}]



      or any other form that would allow me to create pie charts out of the structure.



      Thanks!










      share|improve this question
















      I need to create some plots from single documents existing in mongodb. I can only use the mongodb aggregation framework (so for example I cannot just pull the documents into python and work with it there). I am using the query builder of metabase, so I am limited from this regard.



      In order to do this, I am first using some $match queries in order to identify the documents that I need to look at (these are predefined and static). After the $match stage, I am left with one document (this is ok) with the following structure.



      {
      "id": 1,
      "locs": {
      "a":1,
      "b":2,
      "c":3
      }
      }


      I need to change this structure to something like this:



      [{"a":1}, {"b":2}, {"c":3"}]



      or any other form that would allow me to create pie charts out of the structure.



      Thanks!







      mongodb mongodb-query aggregation-framework metabase






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 21 '18 at 17:17









      Anthony Winzlet

      17.4k42045




      17.4k42045










      asked Nov 21 '18 at 16:04









      Alex PopaAlex Popa

      235




      235
























          1 Answer
          1






          active

          oldest

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          1














          You can convert locs object to array using $objectToArray. Now $unwind the locs array to split into multiple documents. Use $group with $push accumulator to make the split data again into k and v format. And finally use $replaceRoot with the final data field to move it to $$ROOT position.



          db.collection.aggregate([
          { "$project": { "data": { "$objectToArray": "$locs" }}},
          { "$unwind": "$data" },
          { "$group": {
          "_id": "$data",
          "data": { "$push": { "k": "$data.k", "v": "$data.v" }}
          }},
          { "$project": {
          "data": { "$arrayToObject": "$data" }
          }},
          { "$replaceRoot": { "newRoot": "$data" }}
          ])





          share|improve this answer





















          • 1





            You rock! It worked almost perfectly, I just needed to add a { "$unwind": "$data" } before the $replaceRoot step.

            – Alex Popa
            Nov 21 '18 at 17:16













          • Can this be done in the aggregation pipeline without $objectToArray / $arrayToObject (prior to 3.4.4)?

            – Frayt
            Dec 11 '18 at 16:53











          • @Frayt No. It would be better if you update your mongo version because new versions are introduced for comfortableness

            – Anthony Winzlet
            Dec 11 '18 at 17:03











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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









          1














          You can convert locs object to array using $objectToArray. Now $unwind the locs array to split into multiple documents. Use $group with $push accumulator to make the split data again into k and v format. And finally use $replaceRoot with the final data field to move it to $$ROOT position.



          db.collection.aggregate([
          { "$project": { "data": { "$objectToArray": "$locs" }}},
          { "$unwind": "$data" },
          { "$group": {
          "_id": "$data",
          "data": { "$push": { "k": "$data.k", "v": "$data.v" }}
          }},
          { "$project": {
          "data": { "$arrayToObject": "$data" }
          }},
          { "$replaceRoot": { "newRoot": "$data" }}
          ])





          share|improve this answer





















          • 1





            You rock! It worked almost perfectly, I just needed to add a { "$unwind": "$data" } before the $replaceRoot step.

            – Alex Popa
            Nov 21 '18 at 17:16













          • Can this be done in the aggregation pipeline without $objectToArray / $arrayToObject (prior to 3.4.4)?

            – Frayt
            Dec 11 '18 at 16:53











          • @Frayt No. It would be better if you update your mongo version because new versions are introduced for comfortableness

            – Anthony Winzlet
            Dec 11 '18 at 17:03
















          1














          You can convert locs object to array using $objectToArray. Now $unwind the locs array to split into multiple documents. Use $group with $push accumulator to make the split data again into k and v format. And finally use $replaceRoot with the final data field to move it to $$ROOT position.



          db.collection.aggregate([
          { "$project": { "data": { "$objectToArray": "$locs" }}},
          { "$unwind": "$data" },
          { "$group": {
          "_id": "$data",
          "data": { "$push": { "k": "$data.k", "v": "$data.v" }}
          }},
          { "$project": {
          "data": { "$arrayToObject": "$data" }
          }},
          { "$replaceRoot": { "newRoot": "$data" }}
          ])





          share|improve this answer





















          • 1





            You rock! It worked almost perfectly, I just needed to add a { "$unwind": "$data" } before the $replaceRoot step.

            – Alex Popa
            Nov 21 '18 at 17:16













          • Can this be done in the aggregation pipeline without $objectToArray / $arrayToObject (prior to 3.4.4)?

            – Frayt
            Dec 11 '18 at 16:53











          • @Frayt No. It would be better if you update your mongo version because new versions are introduced for comfortableness

            – Anthony Winzlet
            Dec 11 '18 at 17:03














          1












          1








          1







          You can convert locs object to array using $objectToArray. Now $unwind the locs array to split into multiple documents. Use $group with $push accumulator to make the split data again into k and v format. And finally use $replaceRoot with the final data field to move it to $$ROOT position.



          db.collection.aggregate([
          { "$project": { "data": { "$objectToArray": "$locs" }}},
          { "$unwind": "$data" },
          { "$group": {
          "_id": "$data",
          "data": { "$push": { "k": "$data.k", "v": "$data.v" }}
          }},
          { "$project": {
          "data": { "$arrayToObject": "$data" }
          }},
          { "$replaceRoot": { "newRoot": "$data" }}
          ])





          share|improve this answer















          You can convert locs object to array using $objectToArray. Now $unwind the locs array to split into multiple documents. Use $group with $push accumulator to make the split data again into k and v format. And finally use $replaceRoot with the final data field to move it to $$ROOT position.



          db.collection.aggregate([
          { "$project": { "data": { "$objectToArray": "$locs" }}},
          { "$unwind": "$data" },
          { "$group": {
          "_id": "$data",
          "data": { "$push": { "k": "$data.k", "v": "$data.v" }}
          }},
          { "$project": {
          "data": { "$arrayToObject": "$data" }
          }},
          { "$replaceRoot": { "newRoot": "$data" }}
          ])






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 21 '18 at 17:04

























          answered Nov 21 '18 at 16:54









          Anthony WinzletAnthony Winzlet

          17.4k42045




          17.4k42045








          • 1





            You rock! It worked almost perfectly, I just needed to add a { "$unwind": "$data" } before the $replaceRoot step.

            – Alex Popa
            Nov 21 '18 at 17:16













          • Can this be done in the aggregation pipeline without $objectToArray / $arrayToObject (prior to 3.4.4)?

            – Frayt
            Dec 11 '18 at 16:53











          • @Frayt No. It would be better if you update your mongo version because new versions are introduced for comfortableness

            – Anthony Winzlet
            Dec 11 '18 at 17:03














          • 1





            You rock! It worked almost perfectly, I just needed to add a { "$unwind": "$data" } before the $replaceRoot step.

            – Alex Popa
            Nov 21 '18 at 17:16













          • Can this be done in the aggregation pipeline without $objectToArray / $arrayToObject (prior to 3.4.4)?

            – Frayt
            Dec 11 '18 at 16:53











          • @Frayt No. It would be better if you update your mongo version because new versions are introduced for comfortableness

            – Anthony Winzlet
            Dec 11 '18 at 17:03








          1




          1





          You rock! It worked almost perfectly, I just needed to add a { "$unwind": "$data" } before the $replaceRoot step.

          – Alex Popa
          Nov 21 '18 at 17:16







          You rock! It worked almost perfectly, I just needed to add a { "$unwind": "$data" } before the $replaceRoot step.

          – Alex Popa
          Nov 21 '18 at 17:16















          Can this be done in the aggregation pipeline without $objectToArray / $arrayToObject (prior to 3.4.4)?

          – Frayt
          Dec 11 '18 at 16:53





          Can this be done in the aggregation pipeline without $objectToArray / $arrayToObject (prior to 3.4.4)?

          – Frayt
          Dec 11 '18 at 16:53













          @Frayt No. It would be better if you update your mongo version because new versions are introduced for comfortableness

          – Anthony Winzlet
          Dec 11 '18 at 17:03





          @Frayt No. It would be better if you update your mongo version because new versions are introduced for comfortableness

          – Anthony Winzlet
          Dec 11 '18 at 17:03




















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