Select from collection a on clause from JOIN on collection b












1















I have two collections: games and questions

game schema:



{ 
_id: ObjectId,
status: 'played',
questions:
[
{ questionId: ObjectId(questions._id) } // ref to questions collection by _id field
]
}


questions schema:



{
_id: ObjectId(),
text: foobar
}


Game could have two statuses: 'active' and 'played'.

My goal is to get all 'played' questions, means, questions, associated with games with status 'played'.



I've tried to make queries on games collection, tried to make queries on questions but none of them worked.



Some of them are:



db.games.aggregate([
{$match: {status: {$ne: 'played'}}},
{
$lookup:
{
from: 'questions',
localField: 'questions.questionId',
foreignField: '_id',
as: 'game_questions'
}
},
{$project: {game_questions: 1}},
{$unwind: {path: '$game_questions', preserveNullAndEmptyArrays: false}}
])


Or



db.questions.aggregate([
{ $project: {text: 1}},
{ $lookup: {
from: 'games',
pipeline: [
{ $match: {status:'played' }},
{ $project: { status: 1 }}
],
as: 'game_data'
}}
])


Bottom line:
After the request I'd like to get a list with questions, where game status is 'played'.










share|improve this question





























    1















    I have two collections: games and questions

    game schema:



    { 
    _id: ObjectId,
    status: 'played',
    questions:
    [
    { questionId: ObjectId(questions._id) } // ref to questions collection by _id field
    ]
    }


    questions schema:



    {
    _id: ObjectId(),
    text: foobar
    }


    Game could have two statuses: 'active' and 'played'.

    My goal is to get all 'played' questions, means, questions, associated with games with status 'played'.



    I've tried to make queries on games collection, tried to make queries on questions but none of them worked.



    Some of them are:



    db.games.aggregate([
    {$match: {status: {$ne: 'played'}}},
    {
    $lookup:
    {
    from: 'questions',
    localField: 'questions.questionId',
    foreignField: '_id',
    as: 'game_questions'
    }
    },
    {$project: {game_questions: 1}},
    {$unwind: {path: '$game_questions', preserveNullAndEmptyArrays: false}}
    ])


    Or



    db.questions.aggregate([
    { $project: {text: 1}},
    { $lookup: {
    from: 'games',
    pipeline: [
    { $match: {status:'played' }},
    { $project: { status: 1 }}
    ],
    as: 'game_data'
    }}
    ])


    Bottom line:
    After the request I'd like to get a list with questions, where game status is 'played'.










    share|improve this question



























      1












      1








      1








      I have two collections: games and questions

      game schema:



      { 
      _id: ObjectId,
      status: 'played',
      questions:
      [
      { questionId: ObjectId(questions._id) } // ref to questions collection by _id field
      ]
      }


      questions schema:



      {
      _id: ObjectId(),
      text: foobar
      }


      Game could have two statuses: 'active' and 'played'.

      My goal is to get all 'played' questions, means, questions, associated with games with status 'played'.



      I've tried to make queries on games collection, tried to make queries on questions but none of them worked.



      Some of them are:



      db.games.aggregate([
      {$match: {status: {$ne: 'played'}}},
      {
      $lookup:
      {
      from: 'questions',
      localField: 'questions.questionId',
      foreignField: '_id',
      as: 'game_questions'
      }
      },
      {$project: {game_questions: 1}},
      {$unwind: {path: '$game_questions', preserveNullAndEmptyArrays: false}}
      ])


      Or



      db.questions.aggregate([
      { $project: {text: 1}},
      { $lookup: {
      from: 'games',
      pipeline: [
      { $match: {status:'played' }},
      { $project: { status: 1 }}
      ],
      as: 'game_data'
      }}
      ])


      Bottom line:
      After the request I'd like to get a list with questions, where game status is 'played'.










      share|improve this question
















      I have two collections: games and questions

      game schema:



      { 
      _id: ObjectId,
      status: 'played',
      questions:
      [
      { questionId: ObjectId(questions._id) } // ref to questions collection by _id field
      ]
      }


      questions schema:



      {
      _id: ObjectId(),
      text: foobar
      }


      Game could have two statuses: 'active' and 'played'.

      My goal is to get all 'played' questions, means, questions, associated with games with status 'played'.



      I've tried to make queries on games collection, tried to make queries on questions but none of them worked.



      Some of them are:



      db.games.aggregate([
      {$match: {status: {$ne: 'played'}}},
      {
      $lookup:
      {
      from: 'questions',
      localField: 'questions.questionId',
      foreignField: '_id',
      as: 'game_questions'
      }
      },
      {$project: {game_questions: 1}},
      {$unwind: {path: '$game_questions', preserveNullAndEmptyArrays: false}}
      ])


      Or



      db.questions.aggregate([
      { $project: {text: 1}},
      { $lookup: {
      from: 'games',
      pipeline: [
      { $match: {status:'played' }},
      { $project: { status: 1 }}
      ],
      as: 'game_data'
      }}
      ])


      Bottom line:
      After the request I'd like to get a list with questions, where game status is 'played'.







      mongodb mongoose mongodb-query aggregation-framework






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 14 '18 at 21:22









      Neil Lunn

      98.6k23175184




      98.6k23175184










      asked Nov 14 '18 at 16:51









      GrynetsGrynets

      1,161826




      1,161826
























          1 Answer
          1






          active

          oldest

          votes


















          2














          You can use $unwind and $replaceRoot with the data found in $lookup stage



          db.games.aggregate([
          { "$match": { "status": "played" }},
          { "$lookup": {
          "from": "questions",
          "let": { "questions": "$questions.questionId" },
          "pipeline": [
          { "$match": { "$expr": { "$in": ["$_id", "$$questions"] }}}
          ],
          "as": "game_data"
          }},
          { "$unwind": "$game_data" },
          { "$replaceRoot": { "newRoot": "$game_data" }}
          ])


          Or



          db.games.aggregate([
          { "$match": { "status": "played" }},
          { "$lookup": {
          "from": "questions",
          "localField": "questions.questionId",
          "foreignField": "_id",
          "as": "game_data"
          }},
          { "$unwind": "$game_data" },
          { "$replaceRoot": { "newRoot": "$game_data" }}
          ])





          share|improve this answer


























          • Any particular reason to use the first $lookup over the second?

            – Murilo
            Nov 14 '18 at 17:25











          • @Murilo $lookup syntax with the pipeline is a advanced version of older $lookup. It allows you to join with multiple conditions and can allow you to use all the aggregation operators. And also I do prefer more then the older one.

            – Anthony Winzlet
            Nov 14 '18 at 17:39






          • 1





            Ok. Thank you :)

            – Murilo
            Nov 14 '18 at 17:52











          Your Answer






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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          2














          You can use $unwind and $replaceRoot with the data found in $lookup stage



          db.games.aggregate([
          { "$match": { "status": "played" }},
          { "$lookup": {
          "from": "questions",
          "let": { "questions": "$questions.questionId" },
          "pipeline": [
          { "$match": { "$expr": { "$in": ["$_id", "$$questions"] }}}
          ],
          "as": "game_data"
          }},
          { "$unwind": "$game_data" },
          { "$replaceRoot": { "newRoot": "$game_data" }}
          ])


          Or



          db.games.aggregate([
          { "$match": { "status": "played" }},
          { "$lookup": {
          "from": "questions",
          "localField": "questions.questionId",
          "foreignField": "_id",
          "as": "game_data"
          }},
          { "$unwind": "$game_data" },
          { "$replaceRoot": { "newRoot": "$game_data" }}
          ])





          share|improve this answer


























          • Any particular reason to use the first $lookup over the second?

            – Murilo
            Nov 14 '18 at 17:25











          • @Murilo $lookup syntax with the pipeline is a advanced version of older $lookup. It allows you to join with multiple conditions and can allow you to use all the aggregation operators. And also I do prefer more then the older one.

            – Anthony Winzlet
            Nov 14 '18 at 17:39






          • 1





            Ok. Thank you :)

            – Murilo
            Nov 14 '18 at 17:52
















          2














          You can use $unwind and $replaceRoot with the data found in $lookup stage



          db.games.aggregate([
          { "$match": { "status": "played" }},
          { "$lookup": {
          "from": "questions",
          "let": { "questions": "$questions.questionId" },
          "pipeline": [
          { "$match": { "$expr": { "$in": ["$_id", "$$questions"] }}}
          ],
          "as": "game_data"
          }},
          { "$unwind": "$game_data" },
          { "$replaceRoot": { "newRoot": "$game_data" }}
          ])


          Or



          db.games.aggregate([
          { "$match": { "status": "played" }},
          { "$lookup": {
          "from": "questions",
          "localField": "questions.questionId",
          "foreignField": "_id",
          "as": "game_data"
          }},
          { "$unwind": "$game_data" },
          { "$replaceRoot": { "newRoot": "$game_data" }}
          ])





          share|improve this answer


























          • Any particular reason to use the first $lookup over the second?

            – Murilo
            Nov 14 '18 at 17:25











          • @Murilo $lookup syntax with the pipeline is a advanced version of older $lookup. It allows you to join with multiple conditions and can allow you to use all the aggregation operators. And also I do prefer more then the older one.

            – Anthony Winzlet
            Nov 14 '18 at 17:39






          • 1





            Ok. Thank you :)

            – Murilo
            Nov 14 '18 at 17:52














          2












          2








          2







          You can use $unwind and $replaceRoot with the data found in $lookup stage



          db.games.aggregate([
          { "$match": { "status": "played" }},
          { "$lookup": {
          "from": "questions",
          "let": { "questions": "$questions.questionId" },
          "pipeline": [
          { "$match": { "$expr": { "$in": ["$_id", "$$questions"] }}}
          ],
          "as": "game_data"
          }},
          { "$unwind": "$game_data" },
          { "$replaceRoot": { "newRoot": "$game_data" }}
          ])


          Or



          db.games.aggregate([
          { "$match": { "status": "played" }},
          { "$lookup": {
          "from": "questions",
          "localField": "questions.questionId",
          "foreignField": "_id",
          "as": "game_data"
          }},
          { "$unwind": "$game_data" },
          { "$replaceRoot": { "newRoot": "$game_data" }}
          ])





          share|improve this answer















          You can use $unwind and $replaceRoot with the data found in $lookup stage



          db.games.aggregate([
          { "$match": { "status": "played" }},
          { "$lookup": {
          "from": "questions",
          "let": { "questions": "$questions.questionId" },
          "pipeline": [
          { "$match": { "$expr": { "$in": ["$_id", "$$questions"] }}}
          ],
          "as": "game_data"
          }},
          { "$unwind": "$game_data" },
          { "$replaceRoot": { "newRoot": "$game_data" }}
          ])


          Or



          db.games.aggregate([
          { "$match": { "status": "played" }},
          { "$lookup": {
          "from": "questions",
          "localField": "questions.questionId",
          "foreignField": "_id",
          "as": "game_data"
          }},
          { "$unwind": "$game_data" },
          { "$replaceRoot": { "newRoot": "$game_data" }}
          ])






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 15 '18 at 8:15









          Grynets

          1,161826




          1,161826










          answered Nov 14 '18 at 17:01









          Anthony WinzletAnthony Winzlet

          16.9k41744




          16.9k41744













          • Any particular reason to use the first $lookup over the second?

            – Murilo
            Nov 14 '18 at 17:25











          • @Murilo $lookup syntax with the pipeline is a advanced version of older $lookup. It allows you to join with multiple conditions and can allow you to use all the aggregation operators. And also I do prefer more then the older one.

            – Anthony Winzlet
            Nov 14 '18 at 17:39






          • 1





            Ok. Thank you :)

            – Murilo
            Nov 14 '18 at 17:52



















          • Any particular reason to use the first $lookup over the second?

            – Murilo
            Nov 14 '18 at 17:25











          • @Murilo $lookup syntax with the pipeline is a advanced version of older $lookup. It allows you to join with multiple conditions and can allow you to use all the aggregation operators. And also I do prefer more then the older one.

            – Anthony Winzlet
            Nov 14 '18 at 17:39






          • 1





            Ok. Thank you :)

            – Murilo
            Nov 14 '18 at 17:52

















          Any particular reason to use the first $lookup over the second?

          – Murilo
          Nov 14 '18 at 17:25





          Any particular reason to use the first $lookup over the second?

          – Murilo
          Nov 14 '18 at 17:25













          @Murilo $lookup syntax with the pipeline is a advanced version of older $lookup. It allows you to join with multiple conditions and can allow you to use all the aggregation operators. And also I do prefer more then the older one.

          – Anthony Winzlet
          Nov 14 '18 at 17:39





          @Murilo $lookup syntax with the pipeline is a advanced version of older $lookup. It allows you to join with multiple conditions and can allow you to use all the aggregation operators. And also I do prefer more then the older one.

          – Anthony Winzlet
          Nov 14 '18 at 17:39




          1




          1





          Ok. Thank you :)

          – Murilo
          Nov 14 '18 at 17:52





          Ok. Thank you :)

          – Murilo
          Nov 14 '18 at 17:52




















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