MongoDB: A complex query with array input












0














I'm stuck at finding a solution for the following query.



1) a user can select many categories and subcategories.



2) the user can see all other users how are selected the same categories and subcategories within a certain radius.



Here is the Schema of the user



const userSchema = new Schema(
{
image: { type: String, default: 'NA' },
firstName: { type: String, default: 'first name' },
lastName: { type: String, default: 'last name' },
email: { type: String, lowercase: true, unique: true, trim: true },
password: { type: String, min: 6 },
gender: { type: String, emun: ['male','female','other'] },
about: { type: String, default: 'about you' },
address: {
zipCode: { type: Number, default: 000000 },
place: { type: String, default: 'place' },
street: { type: String, default: 'street' },
country: { type: String, default: 'Country' },
location: {
type: { type: String, default:'Point'},
coordinates: { type:[Number], index:'2dsphere', default:[0,0] }
}
},
interests: [
{
_id : false,
category: {
id: { type: Schema.Types.ObjectId, ref: 'Category' },
name: { type: String }
},
subCategory: [
{
_id : false,
id: { type: Schema.Types.ObjectId, ref: 'Subcategory' },
name: { type: String }
}
]
}
]
}
);


In my controller here is what I tried



homeData: async (req, res, next) => {
const limit = Number(req.params.limit);
const { latitude, longitude, minDistance, maxDistance } = getUserCurrentLocation(req);

const usersWithSameInterests = await User.aggregate([
{
"$geoNear": {
"near": {
"type": "Point",
"coordinates": [longitude, latitude]
},
"distanceField": "distance",
"minDistance": minDistance,
"maxDistance": maxDistance,
"spherical": true,
"query": { "location.type": "Point" }
}
},
{
"$match": { "interests": { "$elemMatch": {name: 'Sports'} }} // hard coded for testing
},
{ "$sort": { "distance": 1 } },
{ "$limit" : limit },
{
"$project": {
"_id": 1,
"image": 1,
"firstName":1,
"lastName":1,
"distance": 1,
"createdAt": 1
}
}
]);

return respondSuccess(res, null, {
newNotification: false,
usersWithSameInterests: usersWithSameInterests
});
},


The response i'm getting is



{
"success": true,
"message": "query was successfull",
"data": {
"newNotification": false,
"usersWithSameInterests":
}
}


Sample categories and subcategories
Category: Sports
Subcategories: Cricket, Football, Hockey, Tennis



Category: Learning Languages
Subcategories: English, German, Spanish, Hindi



looking forward for much-needed help.



thank you.










share|improve this question



























    0














    I'm stuck at finding a solution for the following query.



    1) a user can select many categories and subcategories.



    2) the user can see all other users how are selected the same categories and subcategories within a certain radius.



    Here is the Schema of the user



    const userSchema = new Schema(
    {
    image: { type: String, default: 'NA' },
    firstName: { type: String, default: 'first name' },
    lastName: { type: String, default: 'last name' },
    email: { type: String, lowercase: true, unique: true, trim: true },
    password: { type: String, min: 6 },
    gender: { type: String, emun: ['male','female','other'] },
    about: { type: String, default: 'about you' },
    address: {
    zipCode: { type: Number, default: 000000 },
    place: { type: String, default: 'place' },
    street: { type: String, default: 'street' },
    country: { type: String, default: 'Country' },
    location: {
    type: { type: String, default:'Point'},
    coordinates: { type:[Number], index:'2dsphere', default:[0,0] }
    }
    },
    interests: [
    {
    _id : false,
    category: {
    id: { type: Schema.Types.ObjectId, ref: 'Category' },
    name: { type: String }
    },
    subCategory: [
    {
    _id : false,
    id: { type: Schema.Types.ObjectId, ref: 'Subcategory' },
    name: { type: String }
    }
    ]
    }
    ]
    }
    );


    In my controller here is what I tried



    homeData: async (req, res, next) => {
    const limit = Number(req.params.limit);
    const { latitude, longitude, minDistance, maxDistance } = getUserCurrentLocation(req);

    const usersWithSameInterests = await User.aggregate([
    {
    "$geoNear": {
    "near": {
    "type": "Point",
    "coordinates": [longitude, latitude]
    },
    "distanceField": "distance",
    "minDistance": minDistance,
    "maxDistance": maxDistance,
    "spherical": true,
    "query": { "location.type": "Point" }
    }
    },
    {
    "$match": { "interests": { "$elemMatch": {name: 'Sports'} }} // hard coded for testing
    },
    { "$sort": { "distance": 1 } },
    { "$limit" : limit },
    {
    "$project": {
    "_id": 1,
    "image": 1,
    "firstName":1,
    "lastName":1,
    "distance": 1,
    "createdAt": 1
    }
    }
    ]);

    return respondSuccess(res, null, {
    newNotification: false,
    usersWithSameInterests: usersWithSameInterests
    });
    },


    The response i'm getting is



    {
    "success": true,
    "message": "query was successfull",
    "data": {
    "newNotification": false,
    "usersWithSameInterests":
    }
    }


    Sample categories and subcategories
    Category: Sports
    Subcategories: Cricket, Football, Hockey, Tennis



    Category: Learning Languages
    Subcategories: English, German, Spanish, Hindi



    looking forward for much-needed help.



    thank you.










    share|improve this question

























      0












      0








      0







      I'm stuck at finding a solution for the following query.



      1) a user can select many categories and subcategories.



      2) the user can see all other users how are selected the same categories and subcategories within a certain radius.



      Here is the Schema of the user



      const userSchema = new Schema(
      {
      image: { type: String, default: 'NA' },
      firstName: { type: String, default: 'first name' },
      lastName: { type: String, default: 'last name' },
      email: { type: String, lowercase: true, unique: true, trim: true },
      password: { type: String, min: 6 },
      gender: { type: String, emun: ['male','female','other'] },
      about: { type: String, default: 'about you' },
      address: {
      zipCode: { type: Number, default: 000000 },
      place: { type: String, default: 'place' },
      street: { type: String, default: 'street' },
      country: { type: String, default: 'Country' },
      location: {
      type: { type: String, default:'Point'},
      coordinates: { type:[Number], index:'2dsphere', default:[0,0] }
      }
      },
      interests: [
      {
      _id : false,
      category: {
      id: { type: Schema.Types.ObjectId, ref: 'Category' },
      name: { type: String }
      },
      subCategory: [
      {
      _id : false,
      id: { type: Schema.Types.ObjectId, ref: 'Subcategory' },
      name: { type: String }
      }
      ]
      }
      ]
      }
      );


      In my controller here is what I tried



      homeData: async (req, res, next) => {
      const limit = Number(req.params.limit);
      const { latitude, longitude, minDistance, maxDistance } = getUserCurrentLocation(req);

      const usersWithSameInterests = await User.aggregate([
      {
      "$geoNear": {
      "near": {
      "type": "Point",
      "coordinates": [longitude, latitude]
      },
      "distanceField": "distance",
      "minDistance": minDistance,
      "maxDistance": maxDistance,
      "spherical": true,
      "query": { "location.type": "Point" }
      }
      },
      {
      "$match": { "interests": { "$elemMatch": {name: 'Sports'} }} // hard coded for testing
      },
      { "$sort": { "distance": 1 } },
      { "$limit" : limit },
      {
      "$project": {
      "_id": 1,
      "image": 1,
      "firstName":1,
      "lastName":1,
      "distance": 1,
      "createdAt": 1
      }
      }
      ]);

      return respondSuccess(res, null, {
      newNotification: false,
      usersWithSameInterests: usersWithSameInterests
      });
      },


      The response i'm getting is



      {
      "success": true,
      "message": "query was successfull",
      "data": {
      "newNotification": false,
      "usersWithSameInterests":
      }
      }


      Sample categories and subcategories
      Category: Sports
      Subcategories: Cricket, Football, Hockey, Tennis



      Category: Learning Languages
      Subcategories: English, German, Spanish, Hindi



      looking forward for much-needed help.



      thank you.










      share|improve this question













      I'm stuck at finding a solution for the following query.



      1) a user can select many categories and subcategories.



      2) the user can see all other users how are selected the same categories and subcategories within a certain radius.



      Here is the Schema of the user



      const userSchema = new Schema(
      {
      image: { type: String, default: 'NA' },
      firstName: { type: String, default: 'first name' },
      lastName: { type: String, default: 'last name' },
      email: { type: String, lowercase: true, unique: true, trim: true },
      password: { type: String, min: 6 },
      gender: { type: String, emun: ['male','female','other'] },
      about: { type: String, default: 'about you' },
      address: {
      zipCode: { type: Number, default: 000000 },
      place: { type: String, default: 'place' },
      street: { type: String, default: 'street' },
      country: { type: String, default: 'Country' },
      location: {
      type: { type: String, default:'Point'},
      coordinates: { type:[Number], index:'2dsphere', default:[0,0] }
      }
      },
      interests: [
      {
      _id : false,
      category: {
      id: { type: Schema.Types.ObjectId, ref: 'Category' },
      name: { type: String }
      },
      subCategory: [
      {
      _id : false,
      id: { type: Schema.Types.ObjectId, ref: 'Subcategory' },
      name: { type: String }
      }
      ]
      }
      ]
      }
      );


      In my controller here is what I tried



      homeData: async (req, res, next) => {
      const limit = Number(req.params.limit);
      const { latitude, longitude, minDistance, maxDistance } = getUserCurrentLocation(req);

      const usersWithSameInterests = await User.aggregate([
      {
      "$geoNear": {
      "near": {
      "type": "Point",
      "coordinates": [longitude, latitude]
      },
      "distanceField": "distance",
      "minDistance": minDistance,
      "maxDistance": maxDistance,
      "spherical": true,
      "query": { "location.type": "Point" }
      }
      },
      {
      "$match": { "interests": { "$elemMatch": {name: 'Sports'} }} // hard coded for testing
      },
      { "$sort": { "distance": 1 } },
      { "$limit" : limit },
      {
      "$project": {
      "_id": 1,
      "image": 1,
      "firstName":1,
      "lastName":1,
      "distance": 1,
      "createdAt": 1
      }
      }
      ]);

      return respondSuccess(res, null, {
      newNotification: false,
      usersWithSameInterests: usersWithSameInterests
      });
      },


      The response i'm getting is



      {
      "success": true,
      "message": "query was successfull",
      "data": {
      "newNotification": false,
      "usersWithSameInterests":
      }
      }


      Sample categories and subcategories
      Category: Sports
      Subcategories: Cricket, Football, Hockey, Tennis



      Category: Learning Languages
      Subcategories: English, German, Spanish, Hindi



      looking forward for much-needed help.



      thank you.







      node.js mongodb api express mongoose






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 12 '18 at 12:52









      Mr Robot

      4221623




      4221623
























          1 Answer
          1






          active

          oldest

          votes


















          1














          It seems that you have a few mismatched columns.



          On the $geonear pipeline, the line "query": { "location.type": "Point" } should be: 'query': {'address.location.type': 'Point'}.



          And on the $match pipeline, the line { "interests": { "$elemMatch": {name: 'Sports'} } should be 'interests': { '$elemMatch:' {'category.name': 'Sports'} }



          Edit:



          To match multiple interests on the category and subcategory field, You can use the $in operator on the $match pipeline. Like this:



          {
          'interests.category.name': { $in: ['Sports'] },
          'interests.subCategory.name': {$in: ['Soccer']}
          }


          It'll return anyone that have Sports in the category name, and Soccer on subcategory name.






          share|improve this answer























          • Thank you so much for your response, I did a bit debugging and figured out the mismatched columns, the real hiccup is having one user having multiple interests. EX: if the logged in user has 1+ interests Sports, Traveling, Music then the $elemMatch should look for an array. how do we achieve that? and how do we query both category and subcategory? please do update your answer. Thanks again.
            – Mr Robot
            Nov 12 '18 at 14:35










          • I guess that the $in operator will help on this. You can see more about it on the documentation
            – André Adriano
            Nov 12 '18 at 15:27












          • thank you so much for your time. will try that.
            – Mr Robot
            Nov 13 '18 at 6:12











          Your Answer






          StackExchange.ifUsing("editor", function () {
          StackExchange.using("externalEditor", function () {
          StackExchange.using("snippets", function () {
          StackExchange.snippets.init();
          });
          });
          }, "code-snippets");

          StackExchange.ready(function() {
          var channelOptions = {
          tags: "".split(" "),
          id: "1"
          };
          initTagRenderer("".split(" "), "".split(" "), channelOptions);

          StackExchange.using("externalEditor", function() {
          // Have to fire editor after snippets, if snippets enabled
          if (StackExchange.settings.snippets.snippetsEnabled) {
          StackExchange.using("snippets", function() {
          createEditor();
          });
          }
          else {
          createEditor();
          }
          });

          function createEditor() {
          StackExchange.prepareEditor({
          heartbeatType: 'answer',
          autoActivateHeartbeat: false,
          convertImagesToLinks: true,
          noModals: true,
          showLowRepImageUploadWarning: true,
          reputationToPostImages: 10,
          bindNavPrevention: true,
          postfix: "",
          imageUploader: {
          brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
          contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
          allowUrls: true
          },
          onDemand: true,
          discardSelector: ".discard-answer"
          ,immediatelyShowMarkdownHelp:true
          });


          }
          });














          draft saved

          draft discarded


















          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53262598%2fmongodb-a-complex-query-with-array-input%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown

























          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          1














          It seems that you have a few mismatched columns.



          On the $geonear pipeline, the line "query": { "location.type": "Point" } should be: 'query': {'address.location.type': 'Point'}.



          And on the $match pipeline, the line { "interests": { "$elemMatch": {name: 'Sports'} } should be 'interests': { '$elemMatch:' {'category.name': 'Sports'} }



          Edit:



          To match multiple interests on the category and subcategory field, You can use the $in operator on the $match pipeline. Like this:



          {
          'interests.category.name': { $in: ['Sports'] },
          'interests.subCategory.name': {$in: ['Soccer']}
          }


          It'll return anyone that have Sports in the category name, and Soccer on subcategory name.






          share|improve this answer























          • Thank you so much for your response, I did a bit debugging and figured out the mismatched columns, the real hiccup is having one user having multiple interests. EX: if the logged in user has 1+ interests Sports, Traveling, Music then the $elemMatch should look for an array. how do we achieve that? and how do we query both category and subcategory? please do update your answer. Thanks again.
            – Mr Robot
            Nov 12 '18 at 14:35










          • I guess that the $in operator will help on this. You can see more about it on the documentation
            – André Adriano
            Nov 12 '18 at 15:27












          • thank you so much for your time. will try that.
            – Mr Robot
            Nov 13 '18 at 6:12
















          1














          It seems that you have a few mismatched columns.



          On the $geonear pipeline, the line "query": { "location.type": "Point" } should be: 'query': {'address.location.type': 'Point'}.



          And on the $match pipeline, the line { "interests": { "$elemMatch": {name: 'Sports'} } should be 'interests': { '$elemMatch:' {'category.name': 'Sports'} }



          Edit:



          To match multiple interests on the category and subcategory field, You can use the $in operator on the $match pipeline. Like this:



          {
          'interests.category.name': { $in: ['Sports'] },
          'interests.subCategory.name': {$in: ['Soccer']}
          }


          It'll return anyone that have Sports in the category name, and Soccer on subcategory name.






          share|improve this answer























          • Thank you so much for your response, I did a bit debugging and figured out the mismatched columns, the real hiccup is having one user having multiple interests. EX: if the logged in user has 1+ interests Sports, Traveling, Music then the $elemMatch should look for an array. how do we achieve that? and how do we query both category and subcategory? please do update your answer. Thanks again.
            – Mr Robot
            Nov 12 '18 at 14:35










          • I guess that the $in operator will help on this. You can see more about it on the documentation
            – André Adriano
            Nov 12 '18 at 15:27












          • thank you so much for your time. will try that.
            – Mr Robot
            Nov 13 '18 at 6:12














          1












          1








          1






          It seems that you have a few mismatched columns.



          On the $geonear pipeline, the line "query": { "location.type": "Point" } should be: 'query': {'address.location.type': 'Point'}.



          And on the $match pipeline, the line { "interests": { "$elemMatch": {name: 'Sports'} } should be 'interests': { '$elemMatch:' {'category.name': 'Sports'} }



          Edit:



          To match multiple interests on the category and subcategory field, You can use the $in operator on the $match pipeline. Like this:



          {
          'interests.category.name': { $in: ['Sports'] },
          'interests.subCategory.name': {$in: ['Soccer']}
          }


          It'll return anyone that have Sports in the category name, and Soccer on subcategory name.






          share|improve this answer














          It seems that you have a few mismatched columns.



          On the $geonear pipeline, the line "query": { "location.type": "Point" } should be: 'query': {'address.location.type': 'Point'}.



          And on the $match pipeline, the line { "interests": { "$elemMatch": {name: 'Sports'} } should be 'interests': { '$elemMatch:' {'category.name': 'Sports'} }



          Edit:



          To match multiple interests on the category and subcategory field, You can use the $in operator on the $match pipeline. Like this:



          {
          'interests.category.name': { $in: ['Sports'] },
          'interests.subCategory.name': {$in: ['Soccer']}
          }


          It'll return anyone that have Sports in the category name, and Soccer on subcategory name.







          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 12 '18 at 15:24

























          answered Nov 12 '18 at 14:09









          André Adriano

          3116




          3116












          • Thank you so much for your response, I did a bit debugging and figured out the mismatched columns, the real hiccup is having one user having multiple interests. EX: if the logged in user has 1+ interests Sports, Traveling, Music then the $elemMatch should look for an array. how do we achieve that? and how do we query both category and subcategory? please do update your answer. Thanks again.
            – Mr Robot
            Nov 12 '18 at 14:35










          • I guess that the $in operator will help on this. You can see more about it on the documentation
            – André Adriano
            Nov 12 '18 at 15:27












          • thank you so much for your time. will try that.
            – Mr Robot
            Nov 13 '18 at 6:12


















          • Thank you so much for your response, I did a bit debugging and figured out the mismatched columns, the real hiccup is having one user having multiple interests. EX: if the logged in user has 1+ interests Sports, Traveling, Music then the $elemMatch should look for an array. how do we achieve that? and how do we query both category and subcategory? please do update your answer. Thanks again.
            – Mr Robot
            Nov 12 '18 at 14:35










          • I guess that the $in operator will help on this. You can see more about it on the documentation
            – André Adriano
            Nov 12 '18 at 15:27












          • thank you so much for your time. will try that.
            – Mr Robot
            Nov 13 '18 at 6:12
















          Thank you so much for your response, I did a bit debugging and figured out the mismatched columns, the real hiccup is having one user having multiple interests. EX: if the logged in user has 1+ interests Sports, Traveling, Music then the $elemMatch should look for an array. how do we achieve that? and how do we query both category and subcategory? please do update your answer. Thanks again.
          – Mr Robot
          Nov 12 '18 at 14:35




          Thank you so much for your response, I did a bit debugging and figured out the mismatched columns, the real hiccup is having one user having multiple interests. EX: if the logged in user has 1+ interests Sports, Traveling, Music then the $elemMatch should look for an array. how do we achieve that? and how do we query both category and subcategory? please do update your answer. Thanks again.
          – Mr Robot
          Nov 12 '18 at 14:35












          I guess that the $in operator will help on this. You can see more about it on the documentation
          – André Adriano
          Nov 12 '18 at 15:27






          I guess that the $in operator will help on this. You can see more about it on the documentation
          – André Adriano
          Nov 12 '18 at 15:27














          thank you so much for your time. will try that.
          – Mr Robot
          Nov 13 '18 at 6:12




          thank you so much for your time. will try that.
          – Mr Robot
          Nov 13 '18 at 6:12


















          draft saved

          draft discarded




















































          Thanks for contributing an answer to Stack Overflow!


          • Please be sure to answer the question. Provide details and share your research!

          But avoid



          • Asking for help, clarification, or responding to other answers.

          • Making statements based on opinion; back them up with references or personal experience.


          To learn more, see our tips on writing great answers.





          Some of your past answers have not been well-received, and you're in danger of being blocked from answering.


          Please pay close attention to the following guidance:


          • Please be sure to answer the question. Provide details and share your research!

          But avoid



          • Asking for help, clarification, or responding to other answers.

          • Making statements based on opinion; back them up with references or personal experience.


          To learn more, see our tips on writing great answers.




          draft saved


          draft discarded














          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53262598%2fmongodb-a-complex-query-with-array-input%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown





















































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown

































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown







          Popular posts from this blog

          The Sandy Post

          Danny Elfman

          Pages that link to "Head v. Amoskeag Manufacturing Co."