Backend System¶
Introduction¶
The backend system in oslo.service
provides a modular architecture
that allows you to choose between different concurrency models
without modifying your service logic.
Currently, two backends are implemented and supported:
Eventlet backend: The traditional concurrency backend based on green threads and cooperative multitasking (greenlet library).
Threading backend: A new backend using native Python threads, Cotyledon, and Futurist, designed to be compatible with modern Python versions, simplify debugging, and improve maintainability.
Why a Backend System?¶
This system was introduced to enable a gradual transition away from the Eventlet backend, which has known limitations for scaling, cooperative multitasking complexity, and debugging in some Python environments. By using the backend system, you can test, adopt, or migrate to the Threading backend while keeping the same public API and service structure.
In the future, the Eventlet backend may be deprecated once the Threading backend covers all use cases. Some related features tied to Eventlet, like the embedded WSGI server and the backdoor shell, are also planned for removal.
For more context, see:
How It Works¶
The backend system exposes the same public components
(ServiceLauncher
, ProcessLauncher
, ThreadGroup
,
LoopingCall
, etc.) through a dynamic selection mechanism.
At runtime, you can select the backend you want to use in two ways:
Explicit initialization by calling
init_backend()
with the desiredBackendType
:from oslo_service.backend import init_backend, BackendType # Use the Threading backend init_backend(BackendType.THREADING)
Dynamic selection using a hook function that decides which backend to use:
from oslo_service.backend import register_backend_default_hook, \ BackendType def my_backend_decider(): # Add custom logic here return BackendType.THREADING register_backend_default_hook(my_backend_decider)
If no backend is explicitly initialized, the system will use the Eventlet backend by default, unless a hook has been registered to override this choice.
Once the backend is initialized, it cannot be changed.
Trying to re-initialize it with a different backend will raise a
BackendAlreadySelected
exception.
If you see this exception, ensure that your backend is initialized only once
early during your application startup (for example in your main() entry point).
Avoid calling init_backend()
in shared libraries or multiple times.
If you need to reset the backend in unit tests, use the _reset_backend()
helper to clear the backend cache:
from oslo_service.backend import _reset_backend
_reset_backend()
Backend Selection Mechanism¶
The backend system uses a sophisticated caching and selection mechanism to ensure efficient and consistent backend selection throughout your application lifecycle.
Core Functions:
``init_backend(type_: BackendType)``: Explicitly initializes and caches a specific backend. This function loads the backend module, instantiates the backend class, and caches both the backend instance and its components. Once called, the backend cannot be changed to a different type.
``get_backend()``: Returns the currently cached backend instance. If no backend has been explicitly initialized, it follows this selection process:
If a hook is registered, calls the hook to determine the backend type
If the hook raises an exception, falls back to the default backend (Eventlet)
If no hook is registered, uses the default backend (Eventlet)
Initializes the selected backend and returns it
``register_backend_default_hook(hook: Callable[[], BackendType])``: Registers a callback function that decides which backend to use when no explicit initialization has occurred. The hook function should return a
BackendType
and will be called byget_backend()
when needed.``get_component(name: str)``: Retrieves a specific component from the cached backend. This is the primary way to access backend-specific implementations of service components.
Backend Caching:
The system maintains four global caches:
_cached_backend_type
: The selected backend type_cached_backend
: The instantiated backend object_cached_components
: Dictionary of available components from the backend_backend_hook
: The registered hook function for dynamic backend selection
Backend Loading Process:
When a backend is initialized, the following steps occur:
Module Import: The backend module is dynamically imported using
importlib.import_module()
Class Instantiation: The backend class (e.g.,
EventletBackend
,ThreadingBackend
) is instantiatedComponent Caching: All available components are retrieved and cached
Type Caching: The backend type is stored for future reference
This process ensures that backend components are loaded only once and efficiently cached for subsequent access.
For implementation details, see:
https://opendev.org/openstack/oslo.service/src/branch/master/oslo_service/backend/__init__.py
Hook Function Requirements:
Your hook function must:
Accept no parameters
Return a valid
BackendType
enum valueHandle any exceptions internally (the system will fall back to the default if your hook raises an exception)
Example hook function:
def environment_based_backend():
import os
if os.environ.get('USE_THREADING_BACKEND'):
return BackendType.THREADING
return BackendType.EVENTLET
register_backend_default_hook(environment_based_backend)
The hook mechanism is primarily useful for library authors or applications that wish to select the backend dynamically based on environment, configuration, or context — without enforcing it explicitly.
Warning
If get_backend()
or init_backend()
has already been called before
your hook is registered, the hook will be ignored and the default backend
(usually Eventlet) will be used. Make sure to register the hook as early
as possible, ideally before any other imports that might trigger
backend usage.
How to Select a Backend¶
There are two supported ways to select which backend to use:
Explicit initialization
Call
init_backend()
early in your application entry point:from oslo_service.backend import init_backend, BackendType init_backend(BackendType.THREADING)
This will load the Threading backend and cache its components.
For practical usage, see how Nova does it: https://review.opendev.org/c/openstack/nova/+/948311
Dynamic hook
You may register a Python hook to dynamically decide the backend if
init_backend()
is not called:from oslo_service.backend \ import register_backend_default_hook, BackendType def my_backend_decider(): # Add custom logic here if needed return BackendType.THREADING register_backend_default_hook(my_backend_decider)
If no explicit backend is set, the system will call your hook to decide which backend to load.
When to Use init_backend() vs register_backend_default_hook()¶
Use Case |
Recommended Method |
---|---|
You control the application entry point |
|
You write a shared library or plugin |
|
You want full predictability |
|
You want context-based dynamic selection |
|
Note
There is no automatic oslo.config option for service_backend
.
If you want to make the backend configurable through your application’s
config file, you need to define and parse that option yourself, then
call init_backend()
with the selected value.
Accessing Backend Components¶
Once the backend is initialized, you can access its components
via the get_component()
helper function.
Example: getting a ProcessLauncher
instance:
from oslo_service.backend import get_component
ProcessLauncher = get_component("ProcessLauncher")
launcher = ProcessLauncher(conf)
launcher.launch_service(my_service)
launcher.wait()
Available components include:
ServiceLauncher
ProcessLauncher
ThreadGroup
LoopingCall
variantsSignalHandler
And other related service utilities
If you try to access a component that does not exist
in the current backend, a KeyError
will be raised.
Example Usage¶
Here is a minimal example that shows how to initialize the Threading backend and launch a service:
from oslo_service.backend import (
init_backend,
get_component,
BackendType
)
def main():
# Select the Threading backend
init_backend(BackendType.THREADING)
# Get the ProcessLauncher component
ProcessLauncher = get_component("ProcessLauncher")
# Initialize your service and launch it
launcher = ProcessLauncher(conf)
launcher.launch_service(my_service)
launcher.wait()
if __name__ == "__main__":
main()
Here’s an example using a hook for dynamic backend selection:
from oslo_service.backend import (
register_backend_default_hook,
get_component,
BackendType
)
def config_based_backend():
# Read from configuration or environment
if config.get('backend_type') == 'threading':
return BackendType.THREADING
return BackendType.EVENTLET
def main():
# Register the hook before any backend access
register_backend_default_hook(config_based_backend)
# The backend will be selected automatically when needed
ProcessLauncher = get_component("ProcessLauncher")
launcher = ProcessLauncher(conf)
launcher.launch_service(my_service)
launcher.wait()
Common Backend Errors and Exceptions¶
When working with the backend system, you may encounter several specific exceptions and errors:
- BackendAlreadySelected
Raised when trying to initialize a backend after one has already been selected. This typically happens when
init_backend()
is called multiple times in your application.Solution: Ensure that
init_backend()
is called only once early in your application startup, typically in your main entry point.- KeyError
Raised when trying to access a component that doesn’t exist in the current backend using
get_component()
.Solution: Check that the component name is correct and that the component is available in your selected backend.
- ValueError
Raised when trying to initialize an unknown backend type.
Solution: Ensure you’re using a valid
BackendType
enum value (BackendType.EVENTLET
orBackendType.THREADING
).- ImportError
Raised when the backend module cannot be imported or the backend class is not found in the module.
Solution: This usually indicates an installation issue or missing dependencies for the selected backend.
- Hook Exceptions
If your hook function raises an exception, the system will log the error and fall back to the default backend (Eventlet).
Solution: Ensure your hook function handles all potential errors and always returns a valid
BackendType
.
Debugging Tips:
Use
_reset_backend()
in unit tests to clear the backend cacheCheck that your backend initialization happens before any component access
Verify that all required dependencies are installed for your chosen backend
Use logging to track backend loading and component access
Test your hook function independently to ensure it works correctly
Understanding the Implications of Migrating from Eventlet to Threading¶
The following table is not about choosing a backend, but about understanding the implications of migrating away from Eventlet to the Threading backend:
Compared Aspect |
Eventlet Backend |
Threading Backend |
---|---|---|
Concurrency model |
Cooperative multitasking using green threads (greenlet) |
Native Python threads (preemptive) |
Process management |
Uses built-in eventlet processes |
Uses Cotyledon for multi-process support |
Looping calls |
Uses eventlet green thread pools |
Uses Futurist thread pools |
Embedded WSGI server |
Provided (with eventlet) |
Planned for removal; use an external WSGI server instead |
Backdoor shell |
Provided (eventlet only) |
Planned for removal |
API compatibility |
Same public API |
Same public API |
Debugging |
More complex due to cooperative multitasking and green threads. See eventlet_backdoor.py |
May produce clearer native thread stack traces and benefits from recent CPython improvements (e.g. PEP 768). |
Python compatibility |
Known issues with CPython native threads and RLocks. May break with new Python versions. |
Fully compatible with modern CPython threading. |
Test Setup in Devstack and CI Gates¶
If you want to test the Threading backend in Devstack or your CI gates, refer to:
References¶
For any questions, please refer to the OpenStack mailing list or the oslo.service maintainers.