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get inner child array content as query result in mongodb


How to query MongoDB with “like”?Retrieve only the queried element in an object array in MongoDB collectionHow to get the last N records in mongodb?Query for documents where array size is greater than 1Find MongoDB records where array field is not emptyWhy is the result of a reduce function fed back into reduce using mongodb mapreducecomparing a string field to a sub-array field in mongodbMongodb Map Reduce: How can I group the result?Count of inner parent and inner arrays - MongodbInner array total count in mongodb






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0















I have a journal collection contains journal details, volumes, issues and articles. I need to get the issue name and the article count in it from the below collection. Condition will be :



_id = ObjectId("5c7faf8384bbfc127f171222")



jnl_volumes.name = 1




Here is my doc:




"_id":ObjectId("5c7faf8384bbfc127f171222"),
"jnl_code":"QWER",
"jnl_title":"Title",
"jnl_short_title":"short",
"jnl_accronym":"accronym",
"jnl_issn":"issn",
"jnl_eissn":"eissn",
"jnl_license_type":
"name":"Open access",
"value":"o"
,
"jnl_category":
"name":"Science",
"value":"s"
,
"jnl_volumes":[

"name":1,
"created_date":"2019-03-06",
"status":"0",
"issue_flag":"0",
"jnl_issues":[

"issue_name":"2",
"created_date":"2019-03-07",
"jnl_articles":[
"ART 1",
"ART 2"
]
,

"issue_name":"3",
"created_date":"2019-03-07",
"jnl_articles":[
"A 1"
]
,

"issue_name":"4",
"created_date":"2019-03-07",
"jnl_articles":[
"AR 1"
]

]
,

"name":2,
"created_date":"2019-03-06",
"status":"0",
"issue_flag":"0",
"jnl_issues":[

"issue_name":"1",
"created_date":"2019-03-07",
"jnl_articles":[
"Article 1",
"Article 2",
"Article 3",
"Article 4",
"Article 5"
]

]

],
"jnl_created_by":"1",
"jnl_status":"a",
"jnl_proxy_id":"0",
"jnl_operation":"i",
"jnl_updated_date":ISODate("2019-03-07T11:05:21.000Z"),
"jnl_created_date":ISODate("2019-03-07T11:05:21.000Z")



I want the result contain jnl_issues.name and the count of jnl_articles in it....










share|improve this question
























  • Do you want the mongodb command or the mongoose command?

    – Black-Hole
    Mar 8 at 6:18











  • @Black-Hole Mongodb please...

    – Anoop Sankar
    Mar 8 at 7:02

















0















I have a journal collection contains journal details, volumes, issues and articles. I need to get the issue name and the article count in it from the below collection. Condition will be :



_id = ObjectId("5c7faf8384bbfc127f171222")



jnl_volumes.name = 1




Here is my doc:




"_id":ObjectId("5c7faf8384bbfc127f171222"),
"jnl_code":"QWER",
"jnl_title":"Title",
"jnl_short_title":"short",
"jnl_accronym":"accronym",
"jnl_issn":"issn",
"jnl_eissn":"eissn",
"jnl_license_type":
"name":"Open access",
"value":"o"
,
"jnl_category":
"name":"Science",
"value":"s"
,
"jnl_volumes":[

"name":1,
"created_date":"2019-03-06",
"status":"0",
"issue_flag":"0",
"jnl_issues":[

"issue_name":"2",
"created_date":"2019-03-07",
"jnl_articles":[
"ART 1",
"ART 2"
]
,

"issue_name":"3",
"created_date":"2019-03-07",
"jnl_articles":[
"A 1"
]
,

"issue_name":"4",
"created_date":"2019-03-07",
"jnl_articles":[
"AR 1"
]

]
,

"name":2,
"created_date":"2019-03-06",
"status":"0",
"issue_flag":"0",
"jnl_issues":[

"issue_name":"1",
"created_date":"2019-03-07",
"jnl_articles":[
"Article 1",
"Article 2",
"Article 3",
"Article 4",
"Article 5"
]

]

],
"jnl_created_by":"1",
"jnl_status":"a",
"jnl_proxy_id":"0",
"jnl_operation":"i",
"jnl_updated_date":ISODate("2019-03-07T11:05:21.000Z"),
"jnl_created_date":ISODate("2019-03-07T11:05:21.000Z")



I want the result contain jnl_issues.name and the count of jnl_articles in it....










share|improve this question
























  • Do you want the mongodb command or the mongoose command?

    – Black-Hole
    Mar 8 at 6:18











  • @Black-Hole Mongodb please...

    – Anoop Sankar
    Mar 8 at 7:02













0












0








0








I have a journal collection contains journal details, volumes, issues and articles. I need to get the issue name and the article count in it from the below collection. Condition will be :



_id = ObjectId("5c7faf8384bbfc127f171222")



jnl_volumes.name = 1




Here is my doc:




"_id":ObjectId("5c7faf8384bbfc127f171222"),
"jnl_code":"QWER",
"jnl_title":"Title",
"jnl_short_title":"short",
"jnl_accronym":"accronym",
"jnl_issn":"issn",
"jnl_eissn":"eissn",
"jnl_license_type":
"name":"Open access",
"value":"o"
,
"jnl_category":
"name":"Science",
"value":"s"
,
"jnl_volumes":[

"name":1,
"created_date":"2019-03-06",
"status":"0",
"issue_flag":"0",
"jnl_issues":[

"issue_name":"2",
"created_date":"2019-03-07",
"jnl_articles":[
"ART 1",
"ART 2"
]
,

"issue_name":"3",
"created_date":"2019-03-07",
"jnl_articles":[
"A 1"
]
,

"issue_name":"4",
"created_date":"2019-03-07",
"jnl_articles":[
"AR 1"
]

]
,

"name":2,
"created_date":"2019-03-06",
"status":"0",
"issue_flag":"0",
"jnl_issues":[

"issue_name":"1",
"created_date":"2019-03-07",
"jnl_articles":[
"Article 1",
"Article 2",
"Article 3",
"Article 4",
"Article 5"
]

]

],
"jnl_created_by":"1",
"jnl_status":"a",
"jnl_proxy_id":"0",
"jnl_operation":"i",
"jnl_updated_date":ISODate("2019-03-07T11:05:21.000Z"),
"jnl_created_date":ISODate("2019-03-07T11:05:21.000Z")



I want the result contain jnl_issues.name and the count of jnl_articles in it....










share|improve this question
















I have a journal collection contains journal details, volumes, issues and articles. I need to get the issue name and the article count in it from the below collection. Condition will be :



_id = ObjectId("5c7faf8384bbfc127f171222")



jnl_volumes.name = 1




Here is my doc:




"_id":ObjectId("5c7faf8384bbfc127f171222"),
"jnl_code":"QWER",
"jnl_title":"Title",
"jnl_short_title":"short",
"jnl_accronym":"accronym",
"jnl_issn":"issn",
"jnl_eissn":"eissn",
"jnl_license_type":
"name":"Open access",
"value":"o"
,
"jnl_category":
"name":"Science",
"value":"s"
,
"jnl_volumes":[

"name":1,
"created_date":"2019-03-06",
"status":"0",
"issue_flag":"0",
"jnl_issues":[

"issue_name":"2",
"created_date":"2019-03-07",
"jnl_articles":[
"ART 1",
"ART 2"
]
,

"issue_name":"3",
"created_date":"2019-03-07",
"jnl_articles":[
"A 1"
]
,

"issue_name":"4",
"created_date":"2019-03-07",
"jnl_articles":[
"AR 1"
]

]
,

"name":2,
"created_date":"2019-03-06",
"status":"0",
"issue_flag":"0",
"jnl_issues":[

"issue_name":"1",
"created_date":"2019-03-07",
"jnl_articles":[
"Article 1",
"Article 2",
"Article 3",
"Article 4",
"Article 5"
]

]

],
"jnl_created_by":"1",
"jnl_status":"a",
"jnl_proxy_id":"0",
"jnl_operation":"i",
"jnl_updated_date":ISODate("2019-03-07T11:05:21.000Z"),
"jnl_created_date":ISODate("2019-03-07T11:05:21.000Z")



I want the result contain jnl_issues.name and the count of jnl_articles in it....







mongodb mongoose






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Mar 8 at 7:02









Black-Hole

287110




287110










asked Mar 8 at 6:06









Anoop SankarAnoop Sankar

436




436












  • Do you want the mongodb command or the mongoose command?

    – Black-Hole
    Mar 8 at 6:18











  • @Black-Hole Mongodb please...

    – Anoop Sankar
    Mar 8 at 7:02

















  • Do you want the mongodb command or the mongoose command?

    – Black-Hole
    Mar 8 at 6:18











  • @Black-Hole Mongodb please...

    – Anoop Sankar
    Mar 8 at 7:02
















Do you want the mongodb command or the mongoose command?

– Black-Hole
Mar 8 at 6:18





Do you want the mongodb command or the mongoose command?

– Black-Hole
Mar 8 at 6:18













@Black-Hole Mongodb please...

– Anoop Sankar
Mar 8 at 7:02





@Black-Hole Mongodb please...

– Anoop Sankar
Mar 8 at 7:02












1 Answer
1






active

oldest

votes


















0














The following is the result of using mongodb's aggregation, there may be room for optimization, but I still don't know how to optimize it.



db.test.aggregate([
$match: '_id': ObjectId("5c7faf8384bbfc127f171222") ,
$project: 'jnl_volumes': 1 ,
$unwind: '$jnl_volumes' ,
$match: 'jnl_volumes.name': 1 ,
$group: '_id': null, 'info': $push: '$jnl_volumes.jnl_issues' ,
$unwind: '$info' ,
$unwind: '$info' ,
$project: 'name': '$info.issue_name', 'count': $sum: $size: '$info.jnl_articles'
])


This is my result:



enter image description here






share|improve this answer























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    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    0














    The following is the result of using mongodb's aggregation, there may be room for optimization, but I still don't know how to optimize it.



    db.test.aggregate([
    $match: '_id': ObjectId("5c7faf8384bbfc127f171222") ,
    $project: 'jnl_volumes': 1 ,
    $unwind: '$jnl_volumes' ,
    $match: 'jnl_volumes.name': 1 ,
    $group: '_id': null, 'info': $push: '$jnl_volumes.jnl_issues' ,
    $unwind: '$info' ,
    $unwind: '$info' ,
    $project: 'name': '$info.issue_name', 'count': $sum: $size: '$info.jnl_articles'
    ])


    This is my result:



    enter image description here






    share|improve this answer



























      0














      The following is the result of using mongodb's aggregation, there may be room for optimization, but I still don't know how to optimize it.



      db.test.aggregate([
      $match: '_id': ObjectId("5c7faf8384bbfc127f171222") ,
      $project: 'jnl_volumes': 1 ,
      $unwind: '$jnl_volumes' ,
      $match: 'jnl_volumes.name': 1 ,
      $group: '_id': null, 'info': $push: '$jnl_volumes.jnl_issues' ,
      $unwind: '$info' ,
      $unwind: '$info' ,
      $project: 'name': '$info.issue_name', 'count': $sum: $size: '$info.jnl_articles'
      ])


      This is my result:



      enter image description here






      share|improve this answer

























        0












        0








        0







        The following is the result of using mongodb's aggregation, there may be room for optimization, but I still don't know how to optimize it.



        db.test.aggregate([
        $match: '_id': ObjectId("5c7faf8384bbfc127f171222") ,
        $project: 'jnl_volumes': 1 ,
        $unwind: '$jnl_volumes' ,
        $match: 'jnl_volumes.name': 1 ,
        $group: '_id': null, 'info': $push: '$jnl_volumes.jnl_issues' ,
        $unwind: '$info' ,
        $unwind: '$info' ,
        $project: 'name': '$info.issue_name', 'count': $sum: $size: '$info.jnl_articles'
        ])


        This is my result:



        enter image description here






        share|improve this answer













        The following is the result of using mongodb's aggregation, there may be room for optimization, but I still don't know how to optimize it.



        db.test.aggregate([
        $match: '_id': ObjectId("5c7faf8384bbfc127f171222") ,
        $project: 'jnl_volumes': 1 ,
        $unwind: '$jnl_volumes' ,
        $match: 'jnl_volumes.name': 1 ,
        $group: '_id': null, 'info': $push: '$jnl_volumes.jnl_issues' ,
        $unwind: '$info' ,
        $unwind: '$info' ,
        $project: 'name': '$info.issue_name', 'count': $sum: $size: '$info.jnl_articles'
        ])


        This is my result:



        enter image description here







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Mar 8 at 7:56









        Black-HoleBlack-Hole

        287110




        287110





























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