MongoEngine Conditional filter with ReferenceField()Mongoengine ReferenceField Issuemongoengine ListField(ReferenceField()) and custom primary_keymongoengine- what do referencefield storemongoengine - Use QuerySet as ReferenceFieldEmbeddedDocumentField and ReferenceField in mongoengineHow to get ReferenceField data in mongoengine?ReferenceFields with MongoEnginemongoengine referencefield not updatedMongoengine remove ReferenceField valueSetting regex pattern for mongoengine 0.9.0 StringField

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MongoEngine Conditional filter with ReferenceField()


Mongoengine ReferenceField Issuemongoengine ListField(ReferenceField()) and custom primary_keymongoengine- what do referencefield storemongoengine - Use QuerySet as ReferenceFieldEmbeddedDocumentField and ReferenceField in mongoengineHow to get ReferenceField data in mongoengine?ReferenceFields with MongoEnginemongoengine referencefield not updatedMongoengine remove ReferenceField valueSetting regex pattern for mongoengine 0.9.0 StringField






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;








1















Assume that there is simple User and Post model.



class User(Document):
user_id = StringField(primary_key=True)
gender = StringField(default='M')


class Post(Document):
user = ReferenceField(User)
body = StringField()


if __name__ == '__main__':
hide = User(user_id='hide', gender='M').save()
john = User(user_id='john', gender='M').save()
test = User(user_id='test', gender='W').save()
admin = User(user_id='admin', gender='W').save()

Post(user=hide, body='hide post').save()
Post(user=john, body='john post').save()
Post(user=test, body='test post').save()
Post(user=admin, body='admin post').save()

hide = User.objects(user_id='hide').first()

posts = Post.objects(user__ne=hide)
for post in posts:
print(post.body)


Result is



john post
test post
admin post



I triggered condition user__ne=hide, So every posts printed except hide's post.



In this case, How can I add more condition likes, gender='W'?



Below code is result of I tried.



posts = Post.objects(user__ne=hide, user__gender__ne='M')



and



from mongoengine.queryset.visitor import Q

posts = Post.objects(Q(user__ne=hide) & Q(user__gender__ne='M'))


But both code throw errors -> mongoengine.errors.InvalidQueryError: Cannot perform join in mongoDB: user__gender



I know it can be implemented with this.



gender = User.objects(gender__ne='M')
posts = Post.objects(Q(user__ne=hide) & Q(user__nin=gender))


But if users has too many rows, it maybe occur memory issue.



Question



  1. Is it possible to querying with condition at once?


  2. Do .objects() actually querying to database?










share|improve this question






























    1















    Assume that there is simple User and Post model.



    class User(Document):
    user_id = StringField(primary_key=True)
    gender = StringField(default='M')


    class Post(Document):
    user = ReferenceField(User)
    body = StringField()


    if __name__ == '__main__':
    hide = User(user_id='hide', gender='M').save()
    john = User(user_id='john', gender='M').save()
    test = User(user_id='test', gender='W').save()
    admin = User(user_id='admin', gender='W').save()

    Post(user=hide, body='hide post').save()
    Post(user=john, body='john post').save()
    Post(user=test, body='test post').save()
    Post(user=admin, body='admin post').save()

    hide = User.objects(user_id='hide').first()

    posts = Post.objects(user__ne=hide)
    for post in posts:
    print(post.body)


    Result is



    john post
    test post
    admin post



    I triggered condition user__ne=hide, So every posts printed except hide's post.



    In this case, How can I add more condition likes, gender='W'?



    Below code is result of I tried.



    posts = Post.objects(user__ne=hide, user__gender__ne='M')



    and



    from mongoengine.queryset.visitor import Q

    posts = Post.objects(Q(user__ne=hide) & Q(user__gender__ne='M'))


    But both code throw errors -> mongoengine.errors.InvalidQueryError: Cannot perform join in mongoDB: user__gender



    I know it can be implemented with this.



    gender = User.objects(gender__ne='M')
    posts = Post.objects(Q(user__ne=hide) & Q(user__nin=gender))


    But if users has too many rows, it maybe occur memory issue.



    Question



    1. Is it possible to querying with condition at once?


    2. Do .objects() actually querying to database?










    share|improve this question


























      1












      1








      1








      Assume that there is simple User and Post model.



      class User(Document):
      user_id = StringField(primary_key=True)
      gender = StringField(default='M')


      class Post(Document):
      user = ReferenceField(User)
      body = StringField()


      if __name__ == '__main__':
      hide = User(user_id='hide', gender='M').save()
      john = User(user_id='john', gender='M').save()
      test = User(user_id='test', gender='W').save()
      admin = User(user_id='admin', gender='W').save()

      Post(user=hide, body='hide post').save()
      Post(user=john, body='john post').save()
      Post(user=test, body='test post').save()
      Post(user=admin, body='admin post').save()

      hide = User.objects(user_id='hide').first()

      posts = Post.objects(user__ne=hide)
      for post in posts:
      print(post.body)


      Result is



      john post
      test post
      admin post



      I triggered condition user__ne=hide, So every posts printed except hide's post.



      In this case, How can I add more condition likes, gender='W'?



      Below code is result of I tried.



      posts = Post.objects(user__ne=hide, user__gender__ne='M')



      and



      from mongoengine.queryset.visitor import Q

      posts = Post.objects(Q(user__ne=hide) & Q(user__gender__ne='M'))


      But both code throw errors -> mongoengine.errors.InvalidQueryError: Cannot perform join in mongoDB: user__gender



      I know it can be implemented with this.



      gender = User.objects(gender__ne='M')
      posts = Post.objects(Q(user__ne=hide) & Q(user__nin=gender))


      But if users has too many rows, it maybe occur memory issue.



      Question



      1. Is it possible to querying with condition at once?


      2. Do .objects() actually querying to database?










      share|improve this question














      Assume that there is simple User and Post model.



      class User(Document):
      user_id = StringField(primary_key=True)
      gender = StringField(default='M')


      class Post(Document):
      user = ReferenceField(User)
      body = StringField()


      if __name__ == '__main__':
      hide = User(user_id='hide', gender='M').save()
      john = User(user_id='john', gender='M').save()
      test = User(user_id='test', gender='W').save()
      admin = User(user_id='admin', gender='W').save()

      Post(user=hide, body='hide post').save()
      Post(user=john, body='john post').save()
      Post(user=test, body='test post').save()
      Post(user=admin, body='admin post').save()

      hide = User.objects(user_id='hide').first()

      posts = Post.objects(user__ne=hide)
      for post in posts:
      print(post.body)


      Result is



      john post
      test post
      admin post



      I triggered condition user__ne=hide, So every posts printed except hide's post.



      In this case, How can I add more condition likes, gender='W'?



      Below code is result of I tried.



      posts = Post.objects(user__ne=hide, user__gender__ne='M')



      and



      from mongoengine.queryset.visitor import Q

      posts = Post.objects(Q(user__ne=hide) & Q(user__gender__ne='M'))


      But both code throw errors -> mongoengine.errors.InvalidQueryError: Cannot perform join in mongoDB: user__gender



      I know it can be implemented with this.



      gender = User.objects(gender__ne='M')
      posts = Post.objects(Q(user__ne=hide) & Q(user__nin=gender))


      But if users has too many rows, it maybe occur memory issue.



      Question



      1. Is it possible to querying with condition at once?


      2. Do .objects() actually querying to database?







      mongodb mongoengine






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Mar 27 at 3:35









      HideHide

      6251 gold badge5 silver badges25 bronze badges




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          1 Answer
          1






          active

          oldest

          votes


















          1














          As detailed on the sibling github ticket



          1 - There is no joins in mongodb so there is no other option than the one you suggested. One simple thing you can do to improve performance and reduce the memory footprint is to fetch only the user ids, see below:



          male_ids = User.objects(gender__ne='M').scalar('id') # Only fetch the user ids, i.o loading full object data into User model
          posts = Post.objects(Q(user__ne=hide) & Q(user__nin=male_ids))


          Note: There is a CachedReferenceField in mongoengine that might help you to achieve what you want (it would basically duplicates the value of gender next to the reference to the user in the Post collection) and keep it in sync but CachedReferenceField suffers from some bugs (and performance issue to keep them in sync) so maybe it could do the trick for simple use cases but I wouldn't advise to use it.



          2 - .objects() returns a queryset, the query is only fired when you iterate over the queryset (or print the queryset). See below:



          user_qs = User.objects()
          print(type(user_qs)) # <class mongoengine.queryset.queryset.QuerySet>, query not fired yet
          for user in qs_user: # fires the actual query and load data in User instances
          pass





          share|improve this answer


























            Your Answer






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            1 Answer
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            oldest

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            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            1














            As detailed on the sibling github ticket



            1 - There is no joins in mongodb so there is no other option than the one you suggested. One simple thing you can do to improve performance and reduce the memory footprint is to fetch only the user ids, see below:



            male_ids = User.objects(gender__ne='M').scalar('id') # Only fetch the user ids, i.o loading full object data into User model
            posts = Post.objects(Q(user__ne=hide) & Q(user__nin=male_ids))


            Note: There is a CachedReferenceField in mongoengine that might help you to achieve what you want (it would basically duplicates the value of gender next to the reference to the user in the Post collection) and keep it in sync but CachedReferenceField suffers from some bugs (and performance issue to keep them in sync) so maybe it could do the trick for simple use cases but I wouldn't advise to use it.



            2 - .objects() returns a queryset, the query is only fired when you iterate over the queryset (or print the queryset). See below:



            user_qs = User.objects()
            print(type(user_qs)) # <class mongoengine.queryset.queryset.QuerySet>, query not fired yet
            for user in qs_user: # fires the actual query and load data in User instances
            pass





            share|improve this answer































              1














              As detailed on the sibling github ticket



              1 - There is no joins in mongodb so there is no other option than the one you suggested. One simple thing you can do to improve performance and reduce the memory footprint is to fetch only the user ids, see below:



              male_ids = User.objects(gender__ne='M').scalar('id') # Only fetch the user ids, i.o loading full object data into User model
              posts = Post.objects(Q(user__ne=hide) & Q(user__nin=male_ids))


              Note: There is a CachedReferenceField in mongoengine that might help you to achieve what you want (it would basically duplicates the value of gender next to the reference to the user in the Post collection) and keep it in sync but CachedReferenceField suffers from some bugs (and performance issue to keep them in sync) so maybe it could do the trick for simple use cases but I wouldn't advise to use it.



              2 - .objects() returns a queryset, the query is only fired when you iterate over the queryset (or print the queryset). See below:



              user_qs = User.objects()
              print(type(user_qs)) # <class mongoengine.queryset.queryset.QuerySet>, query not fired yet
              for user in qs_user: # fires the actual query and load data in User instances
              pass





              share|improve this answer





























                1












                1








                1







                As detailed on the sibling github ticket



                1 - There is no joins in mongodb so there is no other option than the one you suggested. One simple thing you can do to improve performance and reduce the memory footprint is to fetch only the user ids, see below:



                male_ids = User.objects(gender__ne='M').scalar('id') # Only fetch the user ids, i.o loading full object data into User model
                posts = Post.objects(Q(user__ne=hide) & Q(user__nin=male_ids))


                Note: There is a CachedReferenceField in mongoengine that might help you to achieve what you want (it would basically duplicates the value of gender next to the reference to the user in the Post collection) and keep it in sync but CachedReferenceField suffers from some bugs (and performance issue to keep them in sync) so maybe it could do the trick for simple use cases but I wouldn't advise to use it.



                2 - .objects() returns a queryset, the query is only fired when you iterate over the queryset (or print the queryset). See below:



                user_qs = User.objects()
                print(type(user_qs)) # <class mongoengine.queryset.queryset.QuerySet>, query not fired yet
                for user in qs_user: # fires the actual query and load data in User instances
                pass





                share|improve this answer















                As detailed on the sibling github ticket



                1 - There is no joins in mongodb so there is no other option than the one you suggested. One simple thing you can do to improve performance and reduce the memory footprint is to fetch only the user ids, see below:



                male_ids = User.objects(gender__ne='M').scalar('id') # Only fetch the user ids, i.o loading full object data into User model
                posts = Post.objects(Q(user__ne=hide) & Q(user__nin=male_ids))


                Note: There is a CachedReferenceField in mongoengine that might help you to achieve what you want (it would basically duplicates the value of gender next to the reference to the user in the Post collection) and keep it in sync but CachedReferenceField suffers from some bugs (and performance issue to keep them in sync) so maybe it could do the trick for simple use cases but I wouldn't advise to use it.



                2 - .objects() returns a queryset, the query is only fired when you iterate over the queryset (or print the queryset). See below:



                user_qs = User.objects()
                print(type(user_qs)) # <class mongoengine.queryset.queryset.QuerySet>, query not fired yet
                for user in qs_user: # fires the actual query and load data in User instances
                pass






                share|improve this answer














                share|improve this answer



                share|improve this answer








                edited Jun 5 at 9:05

























                answered Jun 4 at 19:14









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