I have a Student who takes Exams of a certain Subject. A subject may have multiple exams, but only the latest exams are considered. A student is considered passing if they have passed the latest exam of all their subjects. I'm trying to write a hybrid property that returns the latest exams of all subjects the student takes. The SQLAlchemy entities are written like so. from sqlalchemy import select, func, ForeignKey, create_engine, Table, Column from sqlalchemy.ext.hybrid import hybrid_property from sqlalchemy.orm import Mapped, mapped_column, relationship, sessionmaker, DeclarativeBase, registry reg = registry() student_subjects = Table( "student_subjects", reg.metadata, Column('student_idx', ForeignKey('student.idx'), primary_key=True), Column('subject_idx', ForeignKey('subject.idx'), primary_key=True) ) @reg.mapped_as_dataclass class Student: __tablename__ = "student" idx: Mapped[int] = mapped_column(primary_key=True, init=False, autoincrement=True) name: Mapped[str] = mapped_column() exams: Mapped[list["Exam"]] = relationship(back_populates="student", init=False, default_factory=list) subjects: Mapped[list["Subject"]] = relationship(back_populates="students", init=False, default_factory=list, secondary=student_subjects) @hybrid_property def latest_exams(self): ret = [] for subject in self.subjects: exams = [exam for exam in self.exams if exam.subject == subject] exams.sort(key=lambda x: x.completed_at, reverse=True) if len(exams) > 0: ret.append(exams[0]) return ret @reg.mapped_as_dataclass class Subject: __tablename__ = "subject" idx: Mapped[int] = mapped_column(primary_key=True, init=False, autoincrement=True) name: Mapped[str] = mapped_column() exams: Mapped[list["Exam"]] = relationship(back_populates="subject", init=False) students: Mapped[list["Student"]] = relationship(back_populates="subjects", init=False, secondary=student_subjects) @reg.mapped_as_dataclass class Exam: __tablename__ = "Exam" idx: Mapped[int] = mapped_column( primary_key=True, init=False, autoincrement=True) passed: Mapped[bool] = mapped_column() subject: Mapped["Subject"] = relationship(back_populates="exams") subject_idx: Mapped[int] = mapped_column(ForeignKey("subject.idx"), init=False) student: Mapped["Student"] = relationship(back_populates="exams") student_idx: Mapped[int] = mapped_column(ForeignKey("student.idx"), init=False) completed_at: Mapped[datetime] = mapped_column(default_factory=datetime.now) I have an SQL query that successfully gets the latest exams that a student has taken. You can filter for a specific student name with a WHERE clause. SELECT student_name, subject_name, exam_passed, FROM ( SELECT student.name student_name, subject.name subject_name, exam.passed exam_passed, max(exam.completed_at) completed_at, FROM exam JOIN student ON exam.student_idx = student.idx JOIN subject ON exam.subject_idx = subject.idx GROUP BY exam.student_idx, exam.subject_idx ) This is implemented in SQLAlchemy like so. I can verify that the SQL rendered by SQL alchemy is correct. @classmethod @latest_exams.inplace.expression def latest_exams(cls): stmt = ( select(Exam, func.max(Exam.completed_at)) .join(Student) .group_by(Exam.student_idx, Exam.subject_idx) ) subq = stmt.subquery() return subq I can query using the following: stmt = select(Student.latest_exams).join(Student).filter_by(name='Joe Bloggs') with _Session() as s: results = s.execute(stmt) for result in results.scalars(): print(result) But the executed statement only returns the primary key. From what I can tell, this may be due to using scalars, but in other cases scalars returns the ORM object. Why is it not doing so here? Continue reading...