SQLAlchemy Joinedload filter column

Question:

Hi I would like to do a filter with my query using a joinedload. But I can’t seem to make it work. Below is my sample query

result = (
        session.query(Work).
        options(
            joinedload(Work.company_users).
            joinedload(CompanyUser.user)
        ).
        filter(Work.id == 1).
        filter(User.first_name == 'The name').  <<--- I can't get this to work.
        all()
    )

When running this it’s returning a row that is more than what I’m expecting. The real result should only return 8rows. But upon executing this query it returns 234 rows which is way more than what I expect

Asked By: MadzQuestioning

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Answers:

Ok I got it. Just for those who may tackle the same issue what I did was to replace joinedload to contains_eager and added a join. Below is the revise code

result = (
    session.query(Work)
    .join(Work.company_users)
    .join(CompanyUser.user)
    .options(
        contains_eager(Work.company_users)
        .contains_eager(CompanyUser.user)
    )
    .filter(Work.id == 1)
    .filter(User.first_name == 'The name')  # <<--- Now this to works.
    .all()
)
Answered By: MadzQuestioning

The reason it is not working is that joinedload (and all the other relationship loading techniques) are meant to be entirely transparent. That is to say having a joinedload in your query should not affect it in any other way other than resulting in the relationships being filled. You should read "The Zen of Joined Eager Loading", which begins with:

Since joined eager loading seems to have many resemblances to the use of Query.join(), it often produces confusion as to when and how it should be used. It is critical to understand the distinction that while Query.join() is used to alter the results of a query, joinedload() goes through great lengths to not alter the results of the query, and instead hide the effects of the rendered join to only allow for related objects to be present.

One of the tricks is to use aliases for the joined tables which are not made available. Your query then ends up performing an implicit cross-join between Work and User, and hence the extra rows. So in order to filter against a joined table, use Query.join():

session.query(Work).
    join(Work.company_users).
    join(CompanyUser.user).
    filter(Work.id == 1).
    filter(User.first_name == 'The name').
    all()

and if you also need the eagerloads in place, you can instruct the Query that it already contains the joins with contains_eager():

session.query(Work).
    join(Work.company_users).
    join(CompanyUser.user).
    options(contains_eager(Work.company_users).
            contains_eager(CompanyUser.user)).
    filter(Work.id == 1).
    filter(User.first_name == 'The name').
    all()

Note the chained calls to contains_eager().

Answered By: Ilja Everilä
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