Files
deb-python-oslo.db/doc/source/usage.rst
Mike Bayer fdbd928b1f Implement new oslo.db.sqlalchemy.enginefacade module
This module presents a replacement for the EngineFacade
system.  At the center is the oslo.db.sqlalchemy.enginefacade
module, which when imported, provides decorators and context
managers which perform all database and ORM connectivity
functions transparently.   The docstrings as well
as the blueprint provide an introduction.

The patch includes a refactoring of sqlalchemy/session.py
into three dependent modules engines.py, orm.py and
enginefacade.py.  This is to maintain a non-cyclical import
structure as well as to maintain the import behavior of
oslo.db overall, as some projects such as glance currently
have dependencies on this structure.

There is also a slimming down and attempt at modernizing
some very old documentation in session.py.  The enginefacade
system should be preferred moving forward.

Implements: blueprint make-enginefacade-a-facade

Change-Id: I9a3d0c26bb727eb2c0bd823b9a12fde57cc7c9c3
2015-06-04 11:43:39 -04:00

3.3 KiB

Usage

To use oslo.db in a project:

Session Handling

Session handling is achieved using the oslo_db.sqlalchemy.enginefacade system. This module presents a function decorator as well as a context manager approach to delivering .Session as well as .Connection objects to a function or block.

Both calling styles require the use of a context object. This object may be of any class, though when used with the decorator form, requires special instrumentation.

The context manager form is as follows:

from oslo_db.sqlalchemy import enginefacade


class MyContext(object):
    "User-defined context class."


def some_reader_api_function(context):
    with enginefacade.reader.using(context) as session:
        return session.query(SomeClass).all()


def some_writer_api_function(context, x, y):
    with enginefacade.writer.using(context) as session:
        session.add(SomeClass(x, y))


def run_some_database_calls():
    context = MyContext()

    results = some_reader_api_function(context)
    some_writer_api_function(context, 5, 10)

The decorator form accesses attributes off the user-defined context directly; the context must be decorated with the oslo_db.sqlalchemy.enginefacade.transaction_context_provider decorator. Each function must receive the context as the first positional argument:

from oslo_db.sqlalchemy import enginefacade

@enginefacade.transaction_context_provider
class MyContext(object):
    "User-defined context class."

@enginefacade.reader
def some_reader_api_function(context):
    return context.session.query(SomeClass).all()


@enginefacade.writer
def some_writer_api_function(context, x, y):
    context.session.add(SomeClass(x, y))


def run_some_database_calls():
    context = MyContext()

    results = some_reader_api_function(context)
    some_writer_api_function(context, 5, 10)

The scope of transaction and connectivity for both approaches is managed transparently. The configuration for the connection comes from the standard oslo_config.cfg.CONF collection. Additional configurations can be established for the enginefacade using the oslo_db.sqlalchemy.enginefacade.configure function, before any use of the database begins:

from oslo_db.sqlalchemy import enginefacade

enginefacade.configure(
    sqlite_fk=True,
    max_retries=5,
    mysql_sql_mode='ANSI'
)

Base class for models usage

from oslo.db import models


class ProjectSomething(models.TimestampMixin,
                       models.ModelBase):
    id = Column(Integer, primary_key=True)
    ...

DB API backend support

from oslo.config import cfg
from oslo.db import api as db_api


_BACKEND_MAPPING = {'sqlalchemy': 'project.db.sqlalchemy.api'}

IMPL = db_api.DBAPI.from_config(cfg.CONF, backend_mapping=_BACKEND_MAPPING)

def get_engine():
    return IMPL.get_engine()

def get_session():
    return IMPL.get_session()

# DB-API method
def do_something(somethind_id):
    return IMPL.do_something(somethind_id)