Advanced Data Mapping

# disable all ordering
mapper = mapper(User, users_table, order_by=None)

# order by a column
mapper = mapper(User, users_table, order_by=users_tableusers_table.c.user_id)

# order by multiple items
mapper = mapper(User, users_table, order_by=[users_table.c.user_id, desc(users_table.c.user_name)])

# order by a column
l = mapper.select(users_table.c.user_name=='fred', order_by=users_table.c.user_id)

# order by multiple criterion
l = mapper.select(users_table.c.user_name=='fred', order_by=[users_table.c.user_id, desc(users_table.c.user_name)])

# order address objects by address id
mapper = mapper(User, users_table, properties = {
    'addresses' : relation(mapper(Address, addresses_table), order_by=addresses_table.c.address_id)
})

# eager load with ordering - the ORDER BY clauses of parent/child will be organized properly
mapper = mapper(User, users_table, properties = {
    'addresses' : relation(mapper(Address, addresses_table), order_by=desc(addresses_table.c.email_address), eager=True)
}, order_by=users_table.c.user_id)

class User(object):
    pass
class Address(object):
    pass
    mapper(User, users_table, properties={
    'addresses' : relation(mapper(Address, addresses_table), lazy=False)
})
r = session.query(User).select(User.c.user_name.like('F%'), limit=20, offset=10)

class User(object):
    pass
class Address(object):
    pass

# a 'lazy' relationship
mapper(User, users_table, properties = {
    'addreses':relation(mapper(Address, addresses_table), lazy=True)
})

# copy the mapper and convert 'addresses' to be eager
eagermapper = class_mapper(User).options(eagerload('addresses'))

# set the 'excerpt' deferred attribute to load normally
m = book_mapper.options(undefer('excerpt'))

# set the referenced mapper 'photos' to defer its loading of the column 'imagedata'
m = book_mapper.options(defer('photos.imagedata'))

class Employee(object):
    def __init__(self, name):
        self.name = name
    def __repr__(self):
        return self.__class__.__name__ + " " + self.name

class Manager(Employee):
    def __init__(self, name, manager_data):
        self.name = name
        self.manager_data = manager_data
    def __repr__(self):
        return self.__class__.__name__ + " " + self.name + " " +  self.manager_data

class Engineer(Employee):
    def __init__(self, name, engineer_info):
        self.name = name
        self.engineer_info = engineer_info
    def __repr__(self):
        return self.__class__.__name__ + " " + self.name + " " +  self.engineer_info

# a class
class AddressUser(object):
    pass

# define a Join
j = join(users_table, addresses_table)

# map to it - the identity of an AddressUser object will be 
# based on (user_id, address_id) since those are the primary keys involved
m = mapper(AddressUser, j, properties={
    'user_id':[users_table.c.user_id, addresses_table.c.user_id]
})

# many-to-many join on an association table
j = join(users_table, userkeywords, 
        users_table.c.user_id==userkeywords.c.user_id).join(keywords, 
           userkeywords.c.keyword_id==keywords.c.keyword_id)

# a class 
class KeywordUser(object):
    pass

# map to it - the identity of a KeywordUser object will be
# (user_id, keyword_id) since those are the primary keys involved
m = mapper(KeywordUser, j, properties={
    'user_id':[users_table.c.user_id, userkeywords.c.user_id],
    'keyword_id':[userkeywords.c.keyword_id, keywords.c.keyword_id]
})

s = select([customers, 
            func.count(orders).label('order_count'), 
            func.max(orders.price).label('highest_order')],
            customers.c.customer_id==orders.c.customer_id,
            group_by=[c for c in customers.c]
            )
class Customer(object):
    pass

m = mapper(Customer, s)

# primary mapper
mapper(User, users_table)

# make a secondary mapper to load User against a join
othermapper = mapper(User, users_table.join(someothertable), non_primary=True)

# select
result = session.query(othermapper).select()

# primary mapper
mapper(User, users_table)

# make an entity name mapper that stores User objects in another table
mapper(User, alternate_users_table, entity_name='alt')

# make two User objects
user1 = User()
user2 = User()

# save one in in the "users" table
session.save(user1)

# save the other in the "alternate_users_table"
session.save(user2, entity_name='alt')

session.flush()

# select from the alternate mapper
session.query(User, entity_name='alt').select()

usermapper = mapper(User, users)
mapper(Address, addresses_table, properties={
    'user':relation(User)
})

usermapper.add_property('addresses', relation(Address))

eagerquery = session.query(Address).options(eagerload('user'))
s = eagerquery.select(Address.c.address_id==12)

# define a self-referential table
trees = Table('treenodes', engine,
    Column('node_id', Integer, primary_key=True),
    Column('parent_node_id', Integer, ForeignKey('treenodes.node_id'), nullable=True),
    Column('node_name', String(50), nullable=False),
    )

# treenode class
class TreeNode(object):
    pass

# mapper defines "children" property, pointing back to TreeNode class,
# with the mapper unspecified.  it will point back to the primary 
# mapper on the TreeNode class.
TreeNode.mapper = mapper(TreeNode, trees, properties={
        'children' : relation(
                        TreeNode, 
                        cascade="all, delete-orphan"
                     ),
        }
    )

# or, specify the circular relationship after establishing the original mapper:
mymapper = mapper(TreeNode, trees)

mymapper.add_property('children', relation(
                        mymapper, 
                        cascade="all, delete-orphan"
                     ))

# define a self-referential table with several relations
trees = Table('treenodes', engine,
    Column('node_id', Integer, primary_key=True),
    Column('parent_node_id', Integer, ForeignKey('treenodes.node_id'), nullable=True),
    Column('root_node_id', Integer, ForeignKey('treenodes.node_id'), nullable=True),
    Column('node_name', String(50), nullable=False),
    )

# treenode class
class TreeNode(object):
    pass

# define the "children" property as well as the "root" property
TreeNode.mapper = mapper(TreeNode, trees, properties={
        'children' : relation(
                        TreeNode, 
                        primaryjoin=trees.c.parent_node_id==trees.c.node_id
                        cascade="all, delete-orphan"
                     ),
        'root' : relation(
                TreeNode,
                primaryjoin=trees.c.root_node_id=trees.c.node_id, 
                foreignkey=trees.c.node_id,
                uselist=False
            )
        }
    )

class User(object):
    pass

User.mapper = mapper(User, users_table)

# select users
c = users_table.select().execute()

# get objects
userlist = User.mapper.instances(c)

# define a second class/mapper
class Address(object):
    pass

Address.mapper = mapper(Address, addresses_table)

# select users and addresses in one query
s = select([users_table, addresses_table], users_table.c.user_id==addresses_table.c.user_id)

# execute it, and process the results with the User mapper, chained to the Address mapper
r = User.mapper.instances(s.execute(), Address.mapper)

# result rows are an array of objects, one for each mapper used
for entry in r:
    user = r[0]
    address = r[1]

class MapperExtension(object):
    def select_by(self, query, *args, **kwargs):
        """overrides the select_by method of the Query object"""
    def select(self, query, *args, **kwargs):
        """overrides the select method of the Query object"""
    def create_instance(self, mapper, session, row, imap, class_):
        """called when a new object instance is about to be created from a row.  
        the method can choose to create the instance itself, or it can return 
        None to indicate normal object creation should take place.

        mapper - the mapper doing the operation

        row - the result row from the database

        imap - a dictionary that is storing the running set of objects collected from the
        current result set

        class_ - the class we are mapping.
        """
    def append_result(self, mapper, session, row, imap, result, instance, isnew, populate_existing=False):
        """called when an object instance is being appended to a result list.

        If this method returns True, it is assumed that the mapper should do the appending, else
        if this method returns False, it is assumed that the append was handled by this method.

        mapper - the mapper doing the operation

        row - the result row from the database

        imap - a dictionary that is storing the running set of objects collected from the
        current result set

        result - an instance of util.HistoryArraySet(), which may be an attribute on an
        object if this is a related object load (lazy or eager).  use result.append_nohistory(value)
        to append objects to this list.

        instance - the object instance to be appended to the result

        isnew - indicates if this is the first time we have seen this object instance in the current result
        set.  if you are selecting from a join, such as an eager load, you might see the same object instance
        many times in the same result set.

        populate_existing - usually False, indicates if object instances that were already in the main 
        identity map, i.e. were loaded by a previous select(), get their attributes overwritten
        """
    def populate_instance(self, mapper, session, instance, row, identitykey, imap, isnew):
        """called right before the mapper, after creating an instance from a row, passes the row
        to its MapperProperty objects which are responsible for populating the object's attributes.
        If this method returns True, it is assumed that the mapper should do the appending, else
        if this method returns False, it is assumed that the append was handled by this method.

        Essentially, this method is used to have a different mapper populate the object:

            def populate_instance(self, mapper, session, instance, row, identitykey, imap, isnew):
                othermapper.populate_instance(session, instance, row, identitykey, imap, isnew, frommapper=mapper)
                return True
        """
    def before_insert(self, mapper, connection, instance):
        """called before an object instance is INSERTed into its table.

        this is a good place to set up primary key values and such that arent handled otherwise."""
    def before_update(self, mapper, connection, instance):
        """called before an object instnace is UPDATED"""
    def after_update(self, mapper, connection, instance):
        """called after an object instnace is UPDATED"""
    def after_insert(self, mapper, connection, instance):
        """called after an object instance has been INSERTed"""
    def before_delete(self, mapper, connection, instance):
        """called before an object instance is DELETEed"""
    def after_delete(self, mapper, connection, instance):
        """called after an object instance is DELETEed"""

m = mapper(User, users_table, extension=MyExtension())

m = mapper(User, users_table, extension=[ext1, ext2, ext3])