Seems SQLite doesn't like the SELECT INTO construct. 

This works

CREATE TABLE "#B_temp" AS SELECT id, A_id, word, number FROM B WHERE id IN 
(SELECT MAX(id) FROM B GROUP BY A_id);
CREATE TABLE "#C_temp" AS SELECT id, A_id, word, number FROM C WHERE id IN 
(SELECT MAX(id) FROM C GROUP BY A_id);
SELECT A.*, "#B_temp".*, "#C_temp".* FROM A LEFT OUTER JOIN "#B_temp" ON 
A.id = "#B_temp".A_id LEFT OUTER JOIN "#C_temp" on A.id = "#C_temp".A_id;

Michael

On Tuesday, March 11, 2014 7:57:36 PM UTC-4, Michael Weylandt wrote:
>
> I think I'm looking for something like this: 
>
> CREATE TABLE #B_temp(id INTEGER, A_id INTEGER, word VARCHAR, number 
> INTEGER);
> CREATE TABLE #C_temp(id INTEGER, A_id INTEGER, word VARCHAR, number 
> INTEGER);
> SELECT * FROM B WHERE id IN (SELECT MAX(id) FROM B GROUP BY A_id) INTO 
> #B_temp;
> SELECT * FROM C WHERE id IN (SELECT MAX(id) FROM C GROUP BY A_id) INTO 
> #C_temp;
> SELECT A.* , #B_temp.*, #C_temp.* FROM A LEFT OUTER JOIN #B_temp ON A.id = 
> #B_temp.A_id LEFT OUTER JOIN #C_temp ON A.id = #C_temp.A_id;
>
> but with all the nice generality that comes from sqlalchemy. 
>
> Thanks for the quick response, 
>
> Michael
>
> On Tuesday, March 11, 2014 7:41:32 PM UTC-4, Michael Bayer wrote:
>>
>> can you express the exact query you want in SQL?   I can translate to 
>> that easily if you have it.  Otherwise if you’re looking to figure out what 
>> the SQL would be I’d have to find time to look more closely.
>>
>>
>> On Mar 11, 2014, at 7:29 PM, Michael Weylandt <[email protected]> 
>> wrote:
>>
>> Database wizards, 
>>
>> I've got a situation where I have one table with multiple one-to-many 
>> mappings (i.e., it is the "one" in a "one-to-many" with more than one other 
>> table). 
>>
>> For each row of the "one", I want to group each of the "many"s by some 
>> column and do an outer join between the "one" and the "group by max" rows 
>> of each "many."
>>
>> Minimal example: 
>>
>>
>> #################################################################################################
>> from sqlalchemy import create_engine, Column, String, Integer, ForeignKey
>> from sqlalchemy.orm import sessionmaker
>> from sqlalchemy.ext.declarative import declarative_base
>>
>> engine = create_engine("sqlite:///:memory:", echo = True)
>> session = sessionmaker(bind = engine)()
>>
>> Base = declarative_base()
>>
>> class A(Base):
>>     __tablename__ = 'A'
>>     id = Column(Integer, primary_key = True)
>>     letter = Column(String)
>>
>>     def __repr__(self):
>>         return "A(id = %s, letter = %s)" % (self.id, self.letter)
>>
>> class B(Base):
>>     __tablename__ = 'B'
>>     id = Column(Integer, primary_key = True)
>>     A_id = Column(Integer, ForeignKey('A.id'), nullable = False)
>>     word = Column(String)
>>     number = Column(Integer)
>>
>>     def __repr__(self):
>>         return "B(A_id = %s, word = %s, number = %s)" % (self.A_id, 
>> self.word, self.number)
>>
>>
>> class C(Base):
>>     __tablename__ = 'C'
>>     id = Column(Integer, primary_key = True)
>>     A_id = Column(Integer, ForeignKey('A.id'), nullable = False)
>>     word = Column(String)
>>     number = Column(Integer)
>>
>>     def __repr__(self):
>>         return "B(A_id = %s, word = %s, number = %s)" % (self.A_id, 
>> self.word, self.number)
>>
>> Base.metadata.create_all(engine)
>>
>> session.add_all([
>>     A(letter = "A", id = 1),
>>     A(letter = "B", id = 2),
>>     A(letter = "C", id = 3),
>>     ])
>> session.commit()
>>
>> session.add_all([
>>     B(A_id = 1, word = "Foo", number = 1),
>>     B(A_id = 1, word = "Bar", number = 2),
>>     B(A_id = 3, word = "Baz", number = 2),
>>     ])
>> session.commit()
>>
>> session.add_all([
>>     C(A_id = 1, word = "cat", number = 5),
>>     C(A_id = 2, word = "dog", number = 6),
>>     C(A_id = 2, word = "cow", number = 2),
>>     ])
>> session.commit()
>>
>> ## I want a query which returns
>> ## A.letter | B.word | B.number | C.word | C.number
>> ## ------------------------------------------------
>> ## A        | Bar    | 2        | cat    | 5
>> ## B        | NULL   | NULL     | dog    | 6
>> ## C        | Baz    | 2        | NULL   | NULL
>> ##
>> ## That is, for each A
>> ##   1) Group table B by A_id, and select the B in each group with the 
>> highest B.number
>> ##   1) Group table C by A_id, and select the C in each group with the 
>> highest C.number
>> ##   Returning NULL (left outer join) if nothing is found
>>
>>
>> ################################################################################
>>
>> I've tried playing with subqueries and func.max and I'm able to get the 
>> outer join + grouping, but I'm not getting the "max row" for each group. 
>> Something like this: 
>>
>>
>> ###################################################################################
>> from sqlalchemy import func
>> b_subq = session.query(func.max(B.number).label("b_max"), 
>> B).group_by(B.A_id).subquery()
>> c_subq = session.query(func.max(C.number).label("c_max"), 
>> C).group_by(C.A_id).subquery()
>>
>> session.query(A, B, C).outerjoin(B, C).group_by(A).outerjoin(b_subq, 
>> c_subq).all() ## Fails for some reason
>> session.query(A, B, C).outerjoin(B, 
>> C).outerjoin(b_subq).group_by(A).all() ## Works after removing c_subq
>>
>> ###################################################################################
>>
>> Any pointers? 
>>
>> Thanks, 
>> Michael 
>>
>> (Details: python 2.7.3, sqlalchemy 0.8.1, RHEL 6)
>>
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