This is the same problem: you're writing a query that joins 3 tables together, and then applying a "LIMIT 20" to that query. If you look carefully at your 20 rows of psql output, I expect you'll see the same aggregates_id appear more than once. There are less than 20 distinct Aggregate objects. When SQLAlchemy receives those rows, it skips the duplicates.
The SQL looks something like this: SELECT ... FROM aggregates LEFT JOIN aggregate_blocks ON ... LEFT JOIN blocks ON ... LIMIT 20 You need the LIMIT to apply just to the aggregates table, rather than the joined tables. This is a bit tricky because you want to filter by a field in one of those joined tables. You could use an EXISTS function, something like this: SELECT * FROM aggregates WHERE EXISTS ( SELECT 1 FROM aggregate_blocks INNER JOIN blocks ON aggregate_blocks.block_id = block.id WHERE aggregate_blocks.aggregate_id = aggregates.id AND blocks.is_complete = false ) LIMIT 20 If you run that in psql, I think you should get 20 *different* aggregates rows back. If that works, then to turn it into SQLAlchemy ORM syntax, you should use Query.exists(): https://docs.sqlalchemy.org/en/13/orm/query.html#sqlalchemy.orm.query.Query.exists Hope that helps, Simon On Fri, Aug 14, 2020 at 3:56 PM Prerna Pandit <prerna.m.pan...@gmail.com> wrote: > > Hey Simon, > > Thanks so much for replying to my question. I reworked my code to use > sqlalchemy ORM and took off flask and paginate so I can narrow down the > issue. My models now extend from declarative_base. > > engine = > create_engine('postgresql://postgres:postgres@localhost:5400/postgres') > Session = sessionmaker(bind=engine) > > Base = declarative_base() > session = Session() > > Models > > class Aggregate(Base): > __tablename__ = 'aggregates' > id = Column(UUID(as_uuid=True), primary_key=True, > server_default=text('uuid_generate_v4()')) > site_id = Column(UUID(as_uuid=True), nullable=True) > created_at = Column(DateTime, default=sa.func.now()) > created_by = Column(UUID(as_uuid=True), nullable=True) > updated_at = Column(DateTime, default=sa.func.now(), > onupdate=sa.func.now()) > updated_by = Column(UUID(as_uuid=True), nullable=True) > blocks = relationship('AggregateBlock', cascade='all, delete-orphan', > passive_deletes=True, > back_populates='aggregate') > > > class Block(Base): > > __tablename__ = 'blocks' > id = Column(UUID(as_uuid=True), primary_key=True, > server_default=text('uuid_generate_v4()')) > type = Column(Text, nullable=False) > heading = Column(Text, nullable=True) > subheading = Column(Text, nullable=True) > label = Column(Text, nullable=True) > is_complete = Column(Boolean, default=False) > created_at = Column(DateTime, default=sa.func.now()) > created_by = Column(UUID(as_uuid=True), nullable=True) > updated_at = Column(DateTime, default=sa.func.now(), > onupdate=sa.func.now()) > updated_by = Column(UUID(as_uuid=True), nullable=True) > aggregates = relationship('AggregateBlock', cascade='all, delete-orphan', > passive_deletes=True, back_populates='block') > > > class AggregateBlock(Base): > __tablename__ = 'aggregate_blocks' > id = Column(UUID(as_uuid=True), primary_key=True, > server_default=text('uuid_generate_v4()')) > block_id = Column(UUID(as_uuid=True), > ForeignKey('blocks.id', ondelete='CASCADE'), > nullable=False, index=True) > aggregate_id = Column(UUID(as_uuid=True), > ForeignKey('aggregates.id', > ondelete='RESTRICT'), nullable=False) > position = Column(Integer, nullable=False) > block = relationship('Block', back_populates='aggregates') > aggregate = relationship('Aggregate', back_populates='blocks') > > > Query: > > select = session.query(Aggregate).order_by(Aggregate.created_at) \ > .join(AggregateBlock) \ > .join(Block) \ > .filter(Block.is_complete == complete) \ > > all_results = select.all() > limit_results = select.limit(20).all() > > > I still get inconsistent results when I apply limit. Like select.all() will > return 47 rows but with limit it'll return anywhere between 11 to 15. If I > take the generated SQL query and run it directly in psql, I get the correct > count. > > SELECT aggregates.id AS aggregates_id, aggregates.site_id AS > aggregates_site_id, aggregates.created_at AS aggregates_created_at, > aggregates.created_by AS aggregates_created_by, aggregates.updated_at AS > aggregates_updated_at, aggregates.updated_by AS aggregates_updated_by > FROM aggregates JOIN aggregate_blocks ON aggregates.id = > aggregate_blocks.aggregate_id JOIN blocks ON blocks.id = > aggregate_blocks.block_id > WHERE blocks.is_complete = false ORDER BY aggregates.created_at > > LIMIT 20 > > > > > > On Friday, August 14, 2020 at 10:08:23 AM UTC-4, Simon King wrote: >> >> "paginate" is not an SQLAlchemy function, so you'd be better off >> asking the author of whatever is providing that feature. >> >> However, I would guess that maybe paginate is naively applying >> something like "LIMIT 20" to the query. This doesn't work properly >> when you join along a one-to-many relationship, because if you have >> (for example) 2 "parent" objects, each with 5 "child" objects, the >> query will return 10 rows, but SQLAlchemy de-duplicates the results to >> return just the 2 parent objects. >> >> Simon >> >> On Thu, Aug 13, 2020 at 3:31 PM Prerna Pandit <prerna...@gmail.com> wrote: >> > >> > Hello, I've been struggling with this issue for the past couple of days >> > and would really, truly appreciate if someone could please give me >> > pointers or direction as to what I might be missing. >> > >> > >> > Here are my models; >> > class Aggregate(db.Model): >> > id = db.Column(UUID(as_uuid=True), primary_key=True, >> > server_default=db.text('uuid_generate_v4()')) >> > blocks = db.relationship('AggregateBlock', cascade='all, >> > delete-orphan', >> > passive_deletes=True, >> > back_populates='aggregate').. >> > >> > >> > class AggregateBlock(db.Model): >> > >> > id = db.Column(UUID(as_uuid=True), primary_key=True, >> > server_default=db.text('uuid_generate_v4()')) >> > block_id = db.Column(UUID(as_uuid=True), >> > db.ForeignKey('blocks.id', ondelete='CASCADE'), >> > nullable=False, index=True) >> > aggregate_id = db.Column(UUID(as_uuid=True), >> > db.ForeignKey('aggregates.id', >> > ondelete='RESTRICT'), nullable=False) >> > block = db.relationship('Block', back_populates='aggregates') >> > aggregate = db.relationship('Aggregate', back_populates='blocks') >> > >> > >> > >> > >> > class Block(db.Model): >> > id = db.Column(UUID(as_uuid=True), primary_key=True, >> > server_default=db.text('uuid_generate_v4()')) >> > is_complete = db.Column(db.Boolean, default=False) >> > aggregates = db.relationship('AggregateBlock', cascade='all, >> > delete-orphan', >> > passive_deletes=True, >> > back_populates='block') >> > >> > >> > from flask_sqlalchemy import SQLAlchemy >> > db = SQLAlchemy() >> > >> > select = >> > db.session.query(Aggregate).join(AggregateBlock).join(Block).filter(Block.is_complete >> > == complete) >> > >> > print(len(select.all()) >> > >> > print(len(select.paginate(per_page=20).items()) >> > >> > >> > If I do a select.all(), I get the right number of rows which is 47. >> > However, if I try to paginate for a per_page size say 20, I lot a less >> > rows like 11. >> > select.paginate(per_page=20). >> > The number could go up to 21 or so as I increase the page size. Why would >> > paginate decrease the number of returned records? >> > >> > -- >> > SQLAlchemy - >> > The Python SQL Toolkit and Object Relational Mapper >> > >> > http://www.sqlalchemy.org/ >> > >> > To post example code, please provide an MCVE: Minimal, Complete, and >> > Verifiable Example. See http://stackoverflow.com/help/mcve for a full >> > description. >> > --- >> > You received this message because you are subscribed to the Google Groups >> > "sqlalchemy" group. >> > To unsubscribe from this group and stop receiving emails from it, send an >> > email to sqlal...@googlegroups.com. >> > To view this discussion on the web visit >> > https://groups.google.com/d/msgid/sqlalchemy/e5a14305-4e63-4467-9610-1faf3f8c8412o%40googlegroups.com. > > -- > SQLAlchemy - > The Python SQL Toolkit and Object Relational Mapper > > http://www.sqlalchemy.org/ > > To post example code, please provide an MCVE: Minimal, Complete, and > Verifiable Example. 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