`select_entity_from` finally did the trick. I did

qry = 
session.query(child_query).select_entity_from(parent_query).join(child_query, 
child_query.c.parent_id==parent_query.c.id)

Thanks a lot for your help!

On Wednesday, September 4, 2013 2:19:32 PM UTC+10, Michael Bayer wrote:
>
>
> On Sep 3, 2013, at 11:03 PM, gbr <doub...@directbox.com <javascript:>> 
> wrote:
>
> Thanks. That's quite an interesting piece of code. There's a bit of magic 
> happening in this code and it's not quite compatible for my use case (use 
> of queries instead of tables, no ORM mapping), so allow me to ask some 
> questions. I've annotated the code, so perhaps you can correct any of my 
> assumptions that are wrong. My aim is to apply a similar concept to two 
> queries that are not mapped to a class.
>
>
>
> keep in mind any ORM query has an accessor called .statement which will 
> give you the core select() construct.
>
>
> def disjoint_load(query, attr):
>     # This is just to extract the join condition.
>     target = attr.prop.mapper
>     local_cols, remote_cols = zip(*attr.prop.local_remote_pairs)
>     
>     # As far as I can tell, this creates a SELECT from the original parent 
> query.
>     # I'm not sure how this join works, as `attr` is a reference to 
>     # `Parent.children` (no a condition), but I guess I could replace it 
>     # with a condition that I pass in to the function.
>     # The `order_by` may not be necessary...
>     # Question: Does this also work if `target` already is a select query 
> containing a CTE?
>     child_q = query.from_self(target).join(attr).order_by(*remote_cols)
>
>
> "Parent.children" is as good as a (target, onclause) for Query.join() - 
> see the examples in the tutorial for how this is used.
>
> as far as a CTE, specifics will affect this but you can often use 
> query.select_entity_from(stmt) and the Query will use "stmt" in the place 
> of the original Entity.
>
>
>     if attr.prop.order_by:
>         # No idea why/what this does. Is this necessary?
>         child_q = child_q.order_by(*attr.prop.order_by)
>
> this is maintaining the "order_by" of the relationship(), if one was 
> present.
>
>     
>     # This is creating an identity map (parent id -> children list), but how 
> do we 
>     # know the `parent.id` at this point? The query hasn't been issued yet...
>     collections = dict((k, list(v)) for k, v in groupby(
>                     child_q, 
>                     lambda x:tuple([getattr(x, c.key) for c in remote_cols])
>                 ))
>
>
> child_q is a Query, which means it's an iterator.  groupby() is an 
> itertools helper that also is an iterator.  when dict(...list(v)...) is 
> invoked, the iterator is run and child_q is emitted as SQL to the database, 
> results are returned.
>
>
>   
>     # `engine.echo=True` revealed that this is issuing 2 queries (which is 
> what I want)
>     # The order is (1) query for children (joining on parent query), (2) 
> parent query
>     # How/where is the children query attached to the parent query and where 
> is it sent?
>     parents = query.all()
>
>
> well in the example here the child_q is just run right above before 
> query.all()....
>
>     
>     # This does the final assignment of 'list of children per parent' -> 
> parent.children
>     for p in parents:
>         attributes.set_committed_value(
>             p, 
>             attr.key, 
>             collections.get(
>                 tuple([getattr(p, c.key) for c in local_cols]), 
>                 ())
>         )
>     return parents
>
>
>
>
> This is pretty much what I was looking for, but it needs a bit of 
> tinkering to work for me. Do you think it's advisable to use some dummy 
> classes to map the two queries to in order to reuse as much as possible 
> from the above (or adapt it to work with select queries)? What would be the 
> implications in terms of performance (would any of the ORM features such as 
> attribute tracking, identity map, etc. that I don't necessarily need be 
> used in such a case)?
>
>
> assembling an ORM Query is more expensive than assembling a core select(), 
> but not much.  as far as the load overhead, if the Query is told to load 
> individual columns, that overhead goes down to be very comparable to that 
> of the ResultProxy itself (returns plain tuples), or you can execute the 
> .statement returned by Query using execute().
>

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