mongodb - query documents by value of field name












1















Given I have these documents in User collection:



{
userId: "user-a",
points: {
date: {
1: 100,
5: 20,
11: 65,
},
},
}

{
userId: "user-b",
points: {
date: {
31: 20,
25: 40,
11: 15,
},
},
}


What I want to do is I want to query users with points.date.[number] value exist and [number] < 7 for example. How can I do that ?










share|improve this question





























    1















    Given I have these documents in User collection:



    {
    userId: "user-a",
    points: {
    date: {
    1: 100,
    5: 20,
    11: 65,
    },
    },
    }

    {
    userId: "user-b",
    points: {
    date: {
    31: 20,
    25: 40,
    11: 15,
    },
    },
    }


    What I want to do is I want to query users with points.date.[number] value exist and [number] < 7 for example. How can I do that ?










    share|improve this question



























      1












      1








      1








      Given I have these documents in User collection:



      {
      userId: "user-a",
      points: {
      date: {
      1: 100,
      5: 20,
      11: 65,
      },
      },
      }

      {
      userId: "user-b",
      points: {
      date: {
      31: 20,
      25: 40,
      11: 15,
      },
      },
      }


      What I want to do is I want to query users with points.date.[number] value exist and [number] < 7 for example. How can I do that ?










      share|improve this question
















      Given I have these documents in User collection:



      {
      userId: "user-a",
      points: {
      date: {
      1: 100,
      5: 20,
      11: 65,
      },
      },
      }

      {
      userId: "user-b",
      points: {
      date: {
      31: 20,
      25: 40,
      11: 15,
      },
      },
      }


      What I want to do is I want to query users with points.date.[number] value exist and [number] < 7 for example. How can I do that ?







      javascript mongodb meteor mongoose aggregation-framework






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Jan 3 at 4:57









      Anthony Winzlet

      17.8k42245




      17.8k42245










      asked Jan 2 at 11:50









      sonlexqtsonlexqt

      1,84112238




      1,84112238
























          1 Answer
          1






          active

          oldest

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          3














          Since your keys are unknown you have to convert them to some key value pair using $objectToArray aggregation and then can easily $match with it



          db.collection.aggregate([
          { "$match": { "points.date[number]": { "$exists": true }}},
          { "$addFields": {
          "match": {
          "$objectToArray": "$points.date"
          }
          }},
          { "$match": { "match.k": { "$lt": "7" }}},
          { "$project": { "match": 0 }}
          ])





          share|improve this answer
























          • hi, I tried using your query but it returns an empty array. I tried points.date instead of points.date[number] then it has some results but in the returned documents, points.date.(number) always have (number) > 7 (doesn't match the condition that number should be less than 7)

            – sonlexqt
            Jan 5 at 1:13











          • Could you explain bit more

            – Anthony Winzlet
            Jan 7 at 17:26











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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









          3














          Since your keys are unknown you have to convert them to some key value pair using $objectToArray aggregation and then can easily $match with it



          db.collection.aggregate([
          { "$match": { "points.date[number]": { "$exists": true }}},
          { "$addFields": {
          "match": {
          "$objectToArray": "$points.date"
          }
          }},
          { "$match": { "match.k": { "$lt": "7" }}},
          { "$project": { "match": 0 }}
          ])





          share|improve this answer
























          • hi, I tried using your query but it returns an empty array. I tried points.date instead of points.date[number] then it has some results but in the returned documents, points.date.(number) always have (number) > 7 (doesn't match the condition that number should be less than 7)

            – sonlexqt
            Jan 5 at 1:13











          • Could you explain bit more

            – Anthony Winzlet
            Jan 7 at 17:26
















          3














          Since your keys are unknown you have to convert them to some key value pair using $objectToArray aggregation and then can easily $match with it



          db.collection.aggregate([
          { "$match": { "points.date[number]": { "$exists": true }}},
          { "$addFields": {
          "match": {
          "$objectToArray": "$points.date"
          }
          }},
          { "$match": { "match.k": { "$lt": "7" }}},
          { "$project": { "match": 0 }}
          ])





          share|improve this answer
























          • hi, I tried using your query but it returns an empty array. I tried points.date instead of points.date[number] then it has some results but in the returned documents, points.date.(number) always have (number) > 7 (doesn't match the condition that number should be less than 7)

            – sonlexqt
            Jan 5 at 1:13











          • Could you explain bit more

            – Anthony Winzlet
            Jan 7 at 17:26














          3












          3








          3







          Since your keys are unknown you have to convert them to some key value pair using $objectToArray aggregation and then can easily $match with it



          db.collection.aggregate([
          { "$match": { "points.date[number]": { "$exists": true }}},
          { "$addFields": {
          "match": {
          "$objectToArray": "$points.date"
          }
          }},
          { "$match": { "match.k": { "$lt": "7" }}},
          { "$project": { "match": 0 }}
          ])





          share|improve this answer













          Since your keys are unknown you have to convert them to some key value pair using $objectToArray aggregation and then can easily $match with it



          db.collection.aggregate([
          { "$match": { "points.date[number]": { "$exists": true }}},
          { "$addFields": {
          "match": {
          "$objectToArray": "$points.date"
          }
          }},
          { "$match": { "match.k": { "$lt": "7" }}},
          { "$project": { "match": 0 }}
          ])






          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Jan 2 at 12:03









          Anthony WinzletAnthony Winzlet

          17.8k42245




          17.8k42245













          • hi, I tried using your query but it returns an empty array. I tried points.date instead of points.date[number] then it has some results but in the returned documents, points.date.(number) always have (number) > 7 (doesn't match the condition that number should be less than 7)

            – sonlexqt
            Jan 5 at 1:13











          • Could you explain bit more

            – Anthony Winzlet
            Jan 7 at 17:26



















          • hi, I tried using your query but it returns an empty array. I tried points.date instead of points.date[number] then it has some results but in the returned documents, points.date.(number) always have (number) > 7 (doesn't match the condition that number should be less than 7)

            – sonlexqt
            Jan 5 at 1:13











          • Could you explain bit more

            – Anthony Winzlet
            Jan 7 at 17:26

















          hi, I tried using your query but it returns an empty array. I tried points.date instead of points.date[number] then it has some results but in the returned documents, points.date.(number) always have (number) > 7 (doesn't match the condition that number should be less than 7)

          – sonlexqt
          Jan 5 at 1:13





          hi, I tried using your query but it returns an empty array. I tried points.date instead of points.date[number] then it has some results but in the returned documents, points.date.(number) always have (number) > 7 (doesn't match the condition that number should be less than 7)

          – sonlexqt
          Jan 5 at 1:13













          Could you explain bit more

          – Anthony Winzlet
          Jan 7 at 17:26





          Could you explain bit more

          – Anthony Winzlet
          Jan 7 at 17:26




















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