oslo.service/doc/source/user/usage.rst

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Usage

To use oslo.service in a project:

import oslo_service

Migrating to oslo.service

The oslo.service library no longer assumes a global configuration object is available. Instead the following functions and classes have been changed to expect the consuming application to pass in an oslo.config configuration object:

  • ~oslo_service.eventlet_backdoor.initialize_if_enabled
  • :pyoslo_service.periodic_task.PeriodicTasks
  • ~oslo_service.service.launch
  • :pyoslo_service.service.ProcessLauncher
  • :pyoslo_service.service.ServiceLauncher
  • ~oslo_service.sslutils.is_enabled
  • ~oslo_service.sslutils.wrap

When using service from oslo-incubator

from foo.openstack.common import service

launcher = service.launch(service, workers=2)

When using oslo.service

from oslo_config import cfg
from oslo_service import service

CONF = cfg.CONF
launcher = service.launch(CONF, service, workers=2)

Using oslo.service with oslo-config-generator

The oslo.service provides several entry points to generate a configuration files.

  • oslo.service.service <oslo_service.service.list_opts>

    The options from the service and eventlet_backdoor modules for the [DEFAULT] section.

  • oslo.service.periodic_task <oslo_service.periodic_task.list_opts>

    The options from the periodic_task module for the [DEFAULT] section.

  • oslo.service.sslutils <oslo_service.sslutils.list_opts>

    The options from the sslutils module for the [ssl] section.

  • oslo.service.wsgi <oslo_service.wsgi.list_opts>

    The options from the wsgi module for the [DEFAULT] section.

ATTENTION: The library doesn't provide an oslo.service entry point.

$ oslo-config-generator --namespace oslo.service.service \
--namespace oslo.service.periodic_task \
--namespace oslo.service.sslutils

Launching and controlling services

oslo_service.service module provides tools for launching OpenStack services and controlling their lifecycles.

A service is an instance of any class that subclasses :pyoslo_service.service.ServiceBase. :pyServiceBase <oslo_service.service.ServiceBase> is an abstract class that defines an interface every service should implement. :pyoslo_service.service.Service can serve as a base for constructing new services.

Launchers

oslo_service.service module provides two launchers for running services:

  • :pyoslo_service.service.ServiceLauncher - used for running one or more service in a parent process.
  • :pyoslo_service.service.ProcessLauncher - forks a given number of workers in which service(s) are then started.

It is possible to initialize whatever launcher is needed and then launch a service using it.

from oslo_config import cfg
from oslo_service import service

CONF = cfg.CONF


service_launcher = service.ServiceLauncher(CONF)
service_launcher.launch_service(service.Service())

process_launcher = service.ProcessLauncher(CONF, wait_interval=1.0)
process_launcher.launch_service(service.Service(), workers=2)

Or one can simply call oslo_service.service.launch which will automatically pick an appropriate launcher based on a number of workers that are passed to it (ServiceLauncher in case workers=1 or None and ProcessLauncher in other case).

from oslo_config import cfg
from oslo_service import service

CONF = cfg.CONF

launcher = service.launch(CONF, service.Service(), workers=3)

NOTE: Please be informed that it is highly recommended to use no more than one instance of ServiceLauncher and ProcessLauncher classes per process.

Signal handling

oslo_service.service provides handlers for such signals as SIGTERM, SIGINT and SIGHUP.

SIGTERM is used for graceful termination of services. This can allow a server to wait for all clients to close connections while rejecting new incoming requests. Config option graceful_shutdown_timeout specifies how many seconds after receiving a SIGTERM signal, a server should continue to run, handling the existing connections. Setting graceful_shutdown_timeout to zero means that the server will wait indefinitely until all remaining requests have been fully served.

To force instantaneous termination SIGINT signal must be sent.

The behavior on receiving SIGHUP varies based on how the service is configured. If the launcher uses the reload restart_method (the default), then the service will reload its configuration and any threads will be completely restarted. If the mutate restart_method is used, then only the configuration options marked as mutable will be reloaded and the service threads will not be restarted.

See :pyoslo_service.service.Launcher for more details on the restart_method parameter.

NOTE: SIGHUP is not supported on Windows. NOTE: Config option graceful_shutdown_timeout is not supported on Windows.

Below is the example of a service with a reset method that allows reloading logging options by sending a SIGHUP.

from oslo_config import cfg
from oslo_log import log as logging
from oslo_service import service

CONF = cfg.CONF

LOG = logging.getLogger(__name__)

class FooService(service.ServiceBase):

    def start(self):
        pass

    def wait(self):
        pass

    def stop(self):
        pass

    def reset(self):
        logging.setup(cfg.CONF, 'foo')

Profiling

Processes spawned through oslo_service.service can be profiled (function calltrace) through eventlet_backdoor module. Service has to configure backdoor_port option to enable it's workers to listen on TCP ports. Then user can send "prof()" command to capture worker processes function calltrace.

  1. To start profiling send "prof()" command on processes listening port
  2. To stop profiling and capture "pstat" calltrace to a file, send prof command with filename as argument i.e "prof(filename)" on worker processes listening port. Stats file (in pstat format) with user provided filename by adding .prof as suffix will be generated in temp directory.

For example, to profile neutron server process (which is listening on port 8002 configured through backdoor_port option),

$ echo "prof()" | nc localhost 8002
$ neutron net-create n1; neutron port-create --name p1 n1;
$ neutron port-delete p1; neutron port-delete p1
$ echo "prof('neutron')" | nc localhost 8002

This will generate "/tmp/neutron.prof" as stats file. Later user can print the stats from the trace file like below

import pstats

stats = pstats.Stats('/tmp/neutron.prof')
stats.print_stats()