The oslo_db.sqlalchemy.session
Module¶
Session Handling for SQLAlchemy backend.
Recommended ways to use sessions within this framework:
Use the
enginefacade
system for connectivity, session and transaction management:from oslo_db.sqlalchemy import enginefacade @enginefacade.reader def get_foo(context, foo): return (model_query(models.Foo, context.session). filter_by(foo=foo). first()) @enginefacade.writer def update_foo(context, id, newfoo): (model_query(models.Foo, context.session). filter_by(id=id). update({'foo': newfoo})) @enginefacade.writer def create_foo(context, values): foo_ref = models.Foo() foo_ref.update(values) foo_ref.save(context.session) return foo_ref
In the above system, transactions are committed automatically, and are shared among all dependent database methods. Ensure that methods which “write” data are enclosed within @writer blocks.
Note
Statements in the session scope will not be automatically retried.
If you create models within the session, they need to be added, but you do not need to call model.save():
@enginefacade.writer def create_many_foo(context, foos): for foo in foos: foo_ref = models.Foo() foo_ref.update(foo) context.session.add(foo_ref) @enginefacade.writer def update_bar(context, foo_id, newbar): foo_ref = (model_query(models.Foo, context.session). filter_by(id=foo_id). first()) (model_query(models.Bar, context.session). filter_by(id=foo_ref['bar_id']). update({'bar': newbar}))
The two queries in update_bar can alternatively be expressed using a single query, which may be more efficient depending on scenario:
@enginefacade.writer def update_bar(context, foo_id, newbar): subq = (model_query(models.Foo.id, context.session). filter_by(id=foo_id). limit(1). subquery()) (model_query(models.Bar, context.session). filter_by(id=subq.as_scalar()). update({'bar': newbar}))
For reference, this emits approximately the following SQL statement:
UPDATE bar SET bar = ${newbar} WHERE id=(SELECT bar_id FROM foo WHERE id = ${foo_id} LIMIT 1);
Note
create_duplicate_foo is a trivially simple example of catching an exception while using a savepoint. Here we create two duplicate instances with same primary key, must catch the exception out of context managed by a single session:
@enginefacade.writer def create_duplicate_foo(context): foo1 = models.Foo() foo2 = models.Foo() foo1.id = foo2.id = 1 try: with context.session.begin_nested(): session.add(foo1) session.add(foo2) except exception.DBDuplicateEntry as e: handle_error(e)
The enginefacade system eliminates the need to decide when sessions need to be passed between methods. All methods should instead share a common context object; the enginefacade system will maintain the transaction across method calls.
@enginefacade.writer def myfunc(context, foo): # do some database things bar = _private_func(context, foo) return bar def _private_func(context, foo): with enginefacade.using_writer(context) as session: # do some other database things session.add(SomeObject()) return bar
Avoid
with_lockmode('UPDATE')
when possible.FOR UPDATE is not compatible with MySQL/Galera. Instead, an “opportunistic” approach should be used, such that if an UPDATE fails, the entire transaction should be retried. The @wrap_db_retry decorator is one such system that can be used to achieve this.
Enabling soft deletes:
To use/enable soft-deletes, SoftDeleteMixin may be used. For example:
class NovaBase(models.SoftDeleteMixin, models.ModelBase): pass
Efficient use of soft deletes:
While there is a
model.soft_delete()
method, preferquery.soft_delete()
. Some examples:@enginefacade.writer def soft_delete_bar(context): # synchronize_session=False will prevent the ORM from attempting # to search the Session for instances matching the DELETE; # this is typically not necessary for small operations. count = model_query(BarModel, context.session).\ find(some_condition).soft_delete(synchronize_session=False) if count == 0: raise Exception("0 entries were soft deleted") @enginefacade.writer def complex_soft_delete_with_synchronization_bar(context): # use synchronize_session='evaluate' when you'd like to attempt # to update the state of the Session to match that of the DELETE. # This is potentially helpful if the operation is complex and # continues to work with instances that were loaded, though # not usually needed. count = (model_query(BarModel, context.session). find(some_condition). soft_delete(synchronize_session='evaulate')) if count == 0: raise Exception("0 entries were soft deleted")
-
oslo_db.sqlalchemy.session.
EngineFacade
¶ alias of
LegacyEngineFacade
-
oslo_db.sqlalchemy.session.
create_engine
(sql_connection, sqlite_fk=False, mysql_sql_mode=None, idle_timeout=3600, connection_debug=0, max_pool_size=None, max_overflow=None, pool_timeout=None, sqlite_synchronous=True, connection_trace=False, max_retries=10, retry_interval=10, thread_checkin=True, logging_name=None, json_serializer=None, json_deserializer=None)¶ Return a new SQLAlchemy engine.
-
oslo_db.sqlalchemy.session.
get_maker
(engine, autocommit=True, expire_on_commit=False)¶ Return a SQLAlchemy sessionmaker using the given engine.
-
class
oslo_db.sqlalchemy.session.
Query
(entities, session=None)¶ Bases:
sqlalchemy.orm.query.Query
Subclass of sqlalchemy.query with soft_delete() method.
-
soft_delete
(synchronize_session='evaluate')¶
-
update_on_match
(specimen, surrogate_key, values, **kw)¶ Emit an UPDATE statement matching the given specimen.
This is a method-version of oslo_db.sqlalchemy.update_match.update_on_match(); see that function for usage details.
-
update_returning_pk
(values, surrogate_key)¶ Perform an UPDATE, returning the primary key of the matched row.
This is a method-version of oslo_db.sqlalchemy.update_match.update_returning_pk(); see that function for usage details.
-
-
class
oslo_db.sqlalchemy.session.
Session
(bind=None, autoflush=True, expire_on_commit=True, _enable_transaction_accounting=True, autocommit=False, twophase=False, weak_identity_map=True, binds=None, extension=None, info=None, query_cls=<class 'sqlalchemy.orm.query.Query'>)¶ Bases:
sqlalchemy.orm.session.Session
oslo.db-specific Session subclass.