Relationships API
function sqlalchemy.orm.``relationship
(argument, secondary=None, primaryjoin=None, secondaryjoin=None, foreign_keys=None, uselist=None, order_by=False, backref=None, back_populates=None, overlaps=None, post_update=False, cascade=False, viewonly=False, lazy=’select’, collection_class=None, passive_deletes=False, passive_updates=True, remote_side=None, enable_typechecks=True, join_depth=None, comparator_factory=None, single_parent=False, innerjoin=False, distinct_target_key=None, doc=None, active_history=False, cascade_backrefs=True, load_on_pending=False, bake_queries=True, _local_remote_pairs=None, query_class=None, info=None, omit_join=None, sync_backref=None)
Provide a relationship between two mapped classes.
This corresponds to a parent-child or associative table relationship. The constructed class is an instance of RelationshipProperty
.
A typical , used in a classical mapping:
Some arguments accepted by relationship()
optionally accept a callable function, which when called produces the desired value. The callable is invoked by the parent at “mapper initialization” time, which happens only when mappers are first used, and is assumed to be after all mappings have been constructed. This can be used to resolve order-of-declaration and other dependency issues, such as if Child
is declared below Parent
in the same file:
mapper(Parent, properties={
"children":relationship(lambda: Child,
order_by=lambda: Child.id)
})
When using the Declarative Extensions extension, the Declarative initializer allows string arguments to be passed to . These string arguments are converted into callables that evaluate the string as Python code, using the Declarative class-registry as a namespace. This allows the lookup of related classes to be automatic via their string name, and removes the need for related classes to be imported into the local module space before the dependent classes have been declared. It is still required that the modules in which these related classes appear are imported anywhere in the application at some point before the related mappings are actually used, else a lookup error will be raised when the relationship()
attempts to resolve the string reference to the related class. An example of a string- resolved class is as follows:
See also
- Full introductory and reference documentation for relationship()
.
- ORM tutorial introduction.
Parameters
argument –
A mapped class, or actual
Mapper
instance, representing the target of the relationship.may also be passed as a callable function which is evaluated at mapper initialization time, and may be passed as a string name when using Declarative.
Warning
Prior to SQLAlchemy 1.3.16, this value is interpreted using Python’s
eval()
function. DO NOT PASS UNTRUSTED INPUT TO THIS STRING. See Evaluation of relationship arguments for details on declarative evaluation of arguments.See also
Configuring Relationships - further detail on relationship configuration when using Declarative.
secondary –
For a many-to-many relationship, specifies the intermediary table, and is typically an instance of . In less common circumstances, the argument may also be specified as an
Alias
construct, or even a construct.relationship.secondary
may also be passed as a callable function which is evaluated at mapper initialization time. When using Declarative, it may also be a string argument noting the name of a that is present in theMetaData
collection associated with the parent-mapped .Warning
When passed as a Python-evaluable string, the argument is interpreted using Python’s
eval()
function. DO NOT PASS UNTRUSTED INPUT TO THIS STRING. See Evaluation of relationship arguments for details on declarative evaluation of arguments.The
relationship.secondary
keyword argument is typically applied in the case where the intermediary is not otherwise expressed in any direct class mapping. If the “secondary” table is also explicitly mapped elsewhere (e.g. as in Association Object), one should consider applying the flag so that thisrelationship()
is not used for persistence operations which may conflict with those of the association object pattern.See also
- Reference example of “many to many”.
Building a Many To Many Relationship - ORM tutorial introduction to many-to-many relationships.
- Specifics on using many-to-many in a self-referential case.
Configuring Many-to-Many Relationships - Additional options when using Declarative.
- an alternative to
relationship.secondary
when composing association table relationships, allowing additional attributes to be specified on the association table.- a lesser-used pattern which in some cases can enable complex
relationship()
SQL conditions to be used.New in version 0.9.2: works more effectively when referring to a
Join
instance.active_history=False – When
True
, indicates that the “previous” value for a many-to-one reference should be loaded when replaced, if not already loaded. Normally, history tracking logic for simple many-to-ones only needs to be aware of the “new” value in order to perform a flush. This flag is available for applications that make use of which also need to know the “previous” value of the attribute.backref –
Indicates the string name of a property to be placed on the related mapper’s class that will handle this relationship in the other direction. The other property will be created automatically when the mappers are configured. Can also be passed as a
backref()
object to control the configuration of the new relationship.See also
- Introductory documentation and examples.
relationship.back_populates
- alternative form of backref specification.- allows control over
relationship()
configuration when using .back_populates –
Takes a string name and has the same meaning as
relationship.backref
, except the complementing property is not created automatically, and instead must be configured explicitly on the other mapper. The complementing property should also indicate to this relationship to ensure proper functioning.See also
Linking Relationships with Backref - Introductory documentation and examples.
- alternative form of backref specification.
overlaps –
A string name or comma-delimited set of names of other relationships on either this mapper, a descendant mapper, or a target mapper with which this relationship may write to the same foreign keys upon persistence. The only effect this has is to eliminate the warning that this relationship will conflict with another upon persistence. This is used for such relationships that are truly capable of conflicting with each other on write, but the application will ensure that no such conflicts occur.
New in version 1.4.
bake_queries=True –
Use the
BakedQuery
cache to cache the construction of SQL used in lazy loads. True by default. Set to False if the join condition of the relationship has unusual features that might not respond well to statement caching.Changed in version 1.2: “Baked” loading is the default implementation for the “select”, a.k.a. “lazy” loading strategy for relationships.
New in version 1.0.0.
See also
cascade –
A comma-separated list of cascade rules which determines how Session operations should be “cascaded” from parent to child. This defaults to
False
, which means the default cascade should be used - this default cascade is"save-update, merge"
.The available cascades are
save-update
,merge
,expunge
,delete
,delete-orphan
, andrefresh-expire
. An additional option,all
indicates shorthand for"save-update, merge, refresh-expire, expunge, delete"
, and is often used as in"all, delete-orphan"
to indicate that related objects should follow along with the parent object in all cases, and be deleted when de-associated.See also
Cascades - Full detail on each of the available cascade options.
- Tutorial example describing a delete cascade.
cascade_backrefs=True –
A boolean value indicating if the
save-update
cascade should operate along an assignment event intercepted by a backref. When set toFalse
, the attribute managed by this relationship will not cascade an incoming transient object into the session of a persistent parent, if the event is received via backref.Deprecated since version 1.4: The
relationship.cascade_backrefs
flag will default to False in all cases in SQLAlchemy 2.0.See also
- Full discussion and examples on how the
relationship.cascade_backrefs
option is used.collection_class –
A class or callable that returns a new list-holding object. will be used in place of a plain list for storing elements.
See also
- Introductory documentation and examples.
comparator_factory –
A class which extends
Comparator
which provides custom SQL clause generation for comparison operations.- some detail on redefining comparators at this level.
Operator Customization - Brief intro to this feature.
distinct_target_key=None –
Indicate if a “subquery” eager load should apply the DISTINCT keyword to the innermost SELECT statement. When left as
None
, the DISTINCT keyword will be applied in those cases when the target columns do not comprise the full primary key of the target table. When set to , the DISTINCT keyword is applied to the innermost SELECT unconditionally.It may be desirable to set this flag to False when the DISTINCT is reducing performance of the innermost subquery beyond that of what duplicate innermost rows may be causing.
Changed in version 0.9.0: - now defaults to
None
, so that the feature enables itself automatically for those cases where the innermost query targets a non-unique key.See also
Relationship Loading Techniques - includes an introduction to subquery eager loading.
doc – Docstring which will be applied to the resulting descriptor.
foreign_keys –
A list of columns which are to be used as “foreign key” columns, or columns which refer to the value in a remote column, within the context of this object’s
relationship.primaryjoin
condition. That is, if the condition of thisrelationship()
isa.id == b.a_id
, and the values inb.a_id
are required to be present ina.id
, then the “foreign key” column of this isb.a_id
.In normal cases, the
relationship.foreign_keys
parameter is not required. will automatically determine which columns in therelationship.primaryjoin
condition are to be considered “foreign key” columns based on those objects that specifyForeignKey
, or are otherwise listed as referencing columns in a construct.relationship.foreign_keys
is only needed when:The construct will raise informative error messages that suggest the use of the
relationship.foreign_keys
parameter when presented with an ambiguous condition. In typical cases, if doesn’t raise any exceptions, therelationship.foreign_keys
parameter is usually not needed.may also be passed as a callable function which is evaluated at mapper initialization time, and may be passed as a Python-evaluable string when using Declarative.
Warning
When passed as a Python-evaluable string, the argument is interpreted using Python’s
eval()
function. DO NOT PASS UNTRUSTED INPUT TO THIS STRING. See Evaluation of relationship arguments for details on declarative evaluation of arguments.See also
foreign()
- allows direct annotation of the “foreign” columns within a condition.info – Optional data dictionary which will be populated into the
MapperProperty.info
attribute of this object.innerjoin=False –
When
True
, joined eager loads will use an inner join to join against related tables instead of an outer join. The purpose of this option is generally one of performance, as inner joins generally perform better than outer joins.This flag can be set to
True
when the relationship references an object via many-to-one using local foreign keys that are not nullable, or when the reference is one-to-one or a collection that is guaranteed to have one or at least one entry.The option supports the same “nested” and “unnested” options as that of . See that flag for details on nested / unnested behaviors.
See also
joinedload.innerjoin
- the option as specified by loader option, including detail on nesting behavior.- Discussion of some details of various loader options.
join_depth –
When non-
None
, an integer value indicating how many levels deep “eager” loaders should join on a self-referring or cyclical relationship. The number counts how many times the same Mapper shall be present in the loading condition along a particular join branch. When left at its default ofNone
, eager loaders will stop chaining when they encounter a the same target mapper which is already higher up in the chain. This option applies both to joined- and subquery- eager loaders.See also
Configuring Self-Referential Eager Loading - Introductory documentation and examples.
lazy=’select’ –
specifies How the related items should be loaded. Default value is
select
. Values include:select
- items should be loaded lazily when the property is first accessed, using a separate SELECT statement, or identity map fetch for simple many-to-one references.immediate
- items should be loaded as the parents are loaded, using a separate SELECT statement, or identity map fetch for simple many-to-one references.joined
- items should be loaded “eagerly” in the same query as that of the parent, using a JOIN or LEFT OUTER JOIN. Whether the join is “outer” or not is determined by the parameter.subquery
- items should be loaded “eagerly” as the parents are loaded, using one additional SQL statement, which issues a JOIN to a subquery of the original statement, for each collection requested.selectin
- items should be loaded “eagerly” as the parents are loaded, using one or more additional SQL statements, which issues a JOIN to the immediate parent object, specifying primary key identifiers using an IN clause.New in version 1.2.
noload
- no loading should occur at any time. This is to support “write-only” attributes, or attributes which are populated in some manner specific to the application.raise
- lazy loading is disallowed; accessing the attribute, if its value were not already loaded via eager loading, will raise anInvalidRequestError
. This strategy can be used when objects are to be detached from their attached after they are loaded.New in version 1.1.
raise_on_sql
- lazy loading that emits SQL is disallowed; accessing the attribute, if its value were not already loaded via eager loading, will raise anInvalidRequestError
, if the lazy load needs to emit SQL. If the lazy load can pull the related value from the identity map or determine that it should be None, the value is loaded. This strategy can be used when objects will remain associated with the attached , however additional SELECT statements should be blocked.New in version 1.1.
dynamic
- the attribute will return a pre-configuredQuery
object for all read operations, onto which further filtering operations can be applied before iterating the results. See the section for more details.True - a synonym for ‘select’
False - a synonym for ‘joined’
None - a synonym for ‘noload’
See also
Relationship Loading Techniques - Full documentation on relationship loader configuration.
- detail on the
dynamic
option.Setting Noload, RaiseLoad - notes on “noload” and “raise”
load_on_pending=False –
Indicates loading behavior for transient or pending parent objects.
When set to
True
, causes the lazy-loader to issue a query for a parent object that is not persistent, meaning it has never been flushed. This may take effect for a pending object when autoflush is disabled, or for a transient object that has been “attached” to a but is not part of its pending collection.The
relationship.load_on_pending
flag does not improve behavior when the ORM is used normally - object references should be constructed at the object level, not at the foreign key level, so that they are present in an ordinary way before a flush proceeds. This flag is not not intended for general use.See also
- this method establishes “load on pending” behavior for the whole object, and also allows loading on objects that remain transient or detached.
passive_deletes=False –
Indicates loading behavior during delete operations.
A value of True indicates that unloaded child items should not be loaded during a delete operation on the parent. Normally, when a parent item is deleted, all child items are loaded so that they can either be marked as deleted, or have their foreign key to the parent set to NULL. Marking this flag as True usually implies an ON DELETE <CASCADE|SET NULL> rule is in place which will handle updating/deleting child rows on the database side.
Additionally, setting the flag to the string value ‘all’ will disable the “nulling out” of the child foreign keys, when the parent object is deleted and there is no delete or delete-orphan cascade enabled. This is typically used when a triggering or error raise scenario is in place on the database side. Note that the foreign key attributes on in-session child objects will not be changed after a flush occurs so this is a very special use-case setting. Additionally, the “nulling out” will still occur if the child object is de-associated with the parent.
See also
Using foreign key ON DELETE cascade with ORM relationships - Introductory documentation and examples.
passive_updates=True –
Indicates the persistence behavior to take when a referenced primary key value changes in place, indicating that the referencing foreign key columns will also need their value changed.
When True, it is assumed that
ON UPDATE CASCADE
is configured on the foreign key in the database, and that the database will handle propagation of an UPDATE from a source column to dependent rows. When False, the SQLAlchemy construct will attempt to emit its own UPDATE statements to modify related targets. However note that SQLAlchemy cannot emit an UPDATE for more than one level of cascade. Also, setting this flag to False is not compatible in the case where the database is in fact enforcing referential integrity, unless those constraints are explicitly “deferred”, if the target backend supports it.It is highly advised that an application which is employing mutable primary keys keeps
passive_updates
set to True, and instead uses the referential integrity features of the database itself in order to handle the change efficiently and fully.See also
Mutable Primary Keys / Update Cascades - Introductory documentation and examples.
- a similar flag which takes effect for joined-table inheritance mappings.
-
This indicates that the relationship should be handled by a second UPDATE statement after an INSERT or before a DELETE. Currently, it also will issue an UPDATE after the instance was UPDATEd as well, although this technically should be improved. This flag is used to handle saving bi-directional dependencies between two individual rows (i.e. each row references the other), where it would otherwise be impossible to INSERT or DELETE both rows fully since one row exists before the other. Use this flag when a particular mapping arrangement will incur two rows that are dependent on each other, such as a table that has a one-to-many relationship to a set of child rows, and also has a column that references a single child row within that list (i.e. both tables contain a foreign key to each other). If a flush operation returns an error that a “cyclical dependency” was detected, this is a cue that you might want to use
relationship.post_update
to “break” the cycle.See also
- Introductory documentation and examples.
primaryjoin –
A SQL expression that will be used as the primary join of the child object against the parent object, or in a many-to-many relationship the join of the parent object to the association table. By default, this value is computed based on the foreign key relationships of the parent and child tables (or association table).
may also be passed as a callable function which is evaluated at mapper initialization time, and may be passed as a Python-evaluable string when using Declarative.
Warning
When passed as a Python-evaluable string, the argument is interpreted using Python’s
eval()
function. DO NOT PASS UNTRUSTED INPUT TO THIS STRING. See for details on declarative evaluation ofrelationship()
arguments.See also
remote_side –
Used for self-referential relationships, indicates the column or list of columns that form the “remote side” of the relationship.
relationship.remote_side
may also be passed as a callable function which is evaluated at mapper initialization time, and may be passed as a Python-evaluable string when using Declarative.Warning
When passed as a Python-evaluable string, the argument is interpreted using Python’s
eval()
function. DO NOT PASS UNTRUSTED INPUT TO THIS STRING. See for details on declarative evaluation ofrelationship()
arguments.See also
- in-depth explanation of how
relationship.remote_side
is used to configure self-referential relationships.- an annotation function that accomplishes the same purpose as
relationship.remote_side
, typically when a custom condition is used.query_class –
A
Query
subclass that will be used internally by theAppenderQuery
returned by a “dynamic” relationship, that is, a relationship that specifieslazy="dynamic"
or was otherwise constructed using the function.See also
Dynamic Relationship Loaders - Introduction to “dynamic” relationship loaders.
secondaryjoin –
A SQL expression that will be used as the join of an association table to the child object. By default, this value is computed based on the foreign key relationships of the association and child tables.
may also be passed as a callable function which is evaluated at mapper initialization time, and may be passed as a Python-evaluable string when using Declarative.
Warning
When passed as a Python-evaluable string, the argument is interpreted using Python’s
eval()
function. DO NOT PASS UNTRUSTED INPUT TO THIS STRING. See Evaluation of relationship arguments for details on declarative evaluation of arguments.See also
single_parent –
When True, installs a validator which will prevent objects from being associated with more than one parent at a time. This is used for many-to-one or many-to-many relationships that should be treated either as one-to-one or one-to-many. Its usage is optional, except for constructs which are many-to-one or many-to-many and also specify the
delete-orphan
cascade option. Therelationship()
construct itself will raise an error instructing when this option is required.See also
- includes detail on when the
relationship.single_parent
flag may be appropriate.uselist –
A boolean that indicates if this property should be loaded as a list or a scalar. In most cases, this value is determined automatically by at mapper configuration time, based on the type and direction of the relationship - one to many forms a list, many to one forms a scalar, many to many is a list. If a scalar is desired where normally a list would be present, such as a bi-directional one-to-one relationship, set
relationship.uselist
to False.The flag is also available on an existing
relationship()
construct as a read-only attribute, which can be used to determine if this deals with collections or scalar attributes:>>> User.addresses.property.uselist
True
See also
One To One - Introduction to the “one to one” relationship pattern, which is typically when the flag is needed.
viewonly=False –
When set to
True
, the relationship is used only for loading objects, and not for any persistence operation. Arelationship()
which specifies can work with a wider range of SQL operations within therelationship.primaryjoin
condition, including operations that feature the use of a variety of comparison operators as well as SQL functions such as . Therelationship.viewonly
flag is also of general use when defining any kind of that doesn’t represent the full set of related objects, to prevent modifications of the collection from resulting in persistence operations.When using the
relationship.viewonly
flag in conjunction with backrefs, the originating relationship for a particular state change will not produce state changes within the viewonly relationship. This is the behavior implied by being set to False.Changed in version 1.3.17: - the
relationship.sync_backref
flag is set to False when using viewonly in conjunction with backrefs.See also
sync_backref –
A boolean that enables the events used to synchronize the in-Python attributes when this relationship is target of either
relationship.backref
or .Defaults to
None
, which indicates that an automatic value should be selected based on the value of therelationship.viewonly
flag. When left at its default, changes in state will be back-populated only if neither sides of a relationship is viewonly.New in version 1.3.17.
Changed in version 1.4: - A relationship that specifies automatically implies that
relationship.sync_backref
isFalse
.See also
omit_join –
Allows manual control over the “selectin” automatic join optimization. Set to
False
to disable the “omit join” feature added in SQLAlchemy 1.3; or leave asNone
to leave automatic optimization in place.Note
This flag may only be set to
False
. It is not necessary to set it toTrue
as the “omit_join” optimization is automatically detected; if it is not detected, then the optimization is not supported.Changed in version 1.3.11: setting
omit_join
to True will now emit a warning as this was not the intended use of this flag.New in version 1.3.
function sqlalchemy.orm.``backref
(name, \*kwargs*)
Create a back reference with explicit keyword arguments, which are the same arguments one can send to relationship()
.
Used with the backref
keyword argument to in place of a string argument, e.g.:
See also
Linking Relationships with Backref
function sqlalchemy.orm.``relation
(\arg, **kw*)
A synonym for .
Deprecated since version 1.4: The relation construct is considered legacy as of the 1.x series of SQLAlchemy and will be removed in 2.0. Please use relationship()
. (Background on SQLAlchemy 2.0 at: )
function sqlalchemy.orm.``dynamic_loader
(argument, \*kw*)
Construct a dynamically-loading mapper property.
This is essentially the same as using the lazy='dynamic'
argument with relationship()
:
dynamic_loader(SomeClass)
# is the same as
relationship(SomeClass, lazy="dynamic")
See the section for more details on dynamic loading.
function sqlalchemy.orm.``foreign
(expr)
Annotate a portion of a primaryjoin expression with a ‘foreign’ annotation.
See the section Creating Custom Foreign Conditions for a description of use.
See also
function sqlalchemy.orm.``remote
(expr)
Annotate a portion of a primaryjoin expression with a ‘remote’ annotation.
See the section for a description of use.
See also