7ec8003369
Fixes bug 1009681 This offers a default scheduler driver that will be used by the multischeduler for requests that are not destined for the compute or volume topic. This is useful for openstack extensions that want to use the nova-scheduler to schedule requests to compute nodes but provide their own manager and topic. Change-Id: I753e87fc8979fd0b62529974f00cf11fa55b3d63
97 lines
3.7 KiB
Python
97 lines
3.7 KiB
Python
# vim: tabstop=4 shiftwidth=4 softtabstop=4
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# Copyright (c) 2010 OpenStack, LLC.
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# Copyright 2010 United States Government as represented by the
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# Administrator of the National Aeronautics and Space Administration.
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# All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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"""
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Scheduler that allows routing some calls to one driver and others to another.
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"""
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from nova import flags
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from nova.openstack.common import cfg
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from nova.openstack.common import importutils
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from nova.scheduler import driver
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multi_scheduler_opts = [
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cfg.StrOpt('compute_scheduler_driver',
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default='nova.scheduler.'
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'filter_scheduler.FilterScheduler',
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help='Driver to use for scheduling compute calls'),
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cfg.StrOpt('volume_scheduler_driver',
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default='nova.scheduler.chance.ChanceScheduler',
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help='Driver to use for scheduling volume calls'),
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cfg.StrOpt('default_scheduler_driver',
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default='nova.scheduler.chance.ChanceScheduler',
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help='Default driver to use for scheduling calls'),
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]
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FLAGS = flags.FLAGS
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FLAGS.register_opts(multi_scheduler_opts)
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# A mapping of methods to topics so we can figure out which driver to use.
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# There are currently no compute methods proxied through the map
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_METHOD_MAP = {'create_volume': 'volume',
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'create_volumes': 'volume'}
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class MultiScheduler(driver.Scheduler):
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"""A scheduler that holds multiple sub-schedulers.
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This exists to allow flag-driven composibility of schedulers, allowing
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third parties to integrate custom schedulers more easily.
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"""
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def __init__(self):
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super(MultiScheduler, self).__init__()
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compute_driver = importutils.import_object(
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FLAGS.compute_scheduler_driver)
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volume_driver = importutils.import_object(
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FLAGS.volume_scheduler_driver)
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default_driver = importutils.import_object(
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FLAGS.default_scheduler_driver)
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self.drivers = {'compute': compute_driver,
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'volume': volume_driver,
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'default': default_driver}
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def __getattr__(self, key):
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if not key.startswith('schedule_'):
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raise AttributeError(key)
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method = key[len('schedule_'):]
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if method not in _METHOD_MAP:
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raise AttributeError(key)
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return getattr(self.drivers[_METHOD_MAP[method]], key)
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def schedule(self, context, topic, method, *_args, **_kwargs):
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driver = self.drivers.get(topic, self.drivers['default'])
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return driver.schedule(context, topic,
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method, *_args, **_kwargs)
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def schedule_run_instance(self, *args, **kwargs):
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return self.drivers['compute'].schedule_run_instance(*args, **kwargs)
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def schedule_prep_resize(self, *args, **kwargs):
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return self.drivers['compute'].schedule_prep_resize(*args, **kwargs)
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def update_service_capabilities(self, service_name, host, capabilities):
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# Multi scheduler is only a holder of sub-schedulers, so
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# pass the capabilities to the schedulers that matter
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for d in self.drivers.values():
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d.update_service_capabilities(service_name, host, capabilities)
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