Merge "Mark Chance and Caching schedulers as deprecated"
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commit
fc472decb8
@ -46,8 +46,8 @@ Other options are:
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* 'caching_scheduler' which aggressively caches the system state for better
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individual scheduler performance at the risk of more retries when running
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multiple schedulers.
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* 'chance_scheduler' which simply picks a host at random.
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multiple schedulers. [DEPRECATED]
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* 'chance_scheduler' which simply picks a host at random. [DEPRECATED]
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* 'fake_scheduler' which is used for testing.
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Possible values:
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@ -16,8 +16,12 @@
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import collections
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import itertools
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from oslo_log import log as logging
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from nova.scheduler import filter_scheduler
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LOG = logging.getLogger(__name__)
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class CachingScheduler(filter_scheduler.FilterScheduler):
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"""Scheduler to test aggressive caching of the host list.
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@ -58,6 +62,8 @@ class CachingScheduler(filter_scheduler.FilterScheduler):
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def __init__(self, *args, **kwargs):
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super(CachingScheduler, self).__init__(*args, **kwargs)
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self.all_host_states = None
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LOG.warning('CachingScheduler is deprecated in Pike and will be '
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'removed in a subsequent release.')
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def run_periodic_tasks(self, context):
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"""Called from a periodic tasks in the manager."""
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@ -21,6 +21,8 @@ Chance (Random) Scheduler implementation
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import random
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from oslo_log import log as logging
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from nova.compute import rpcapi as compute_rpcapi
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import nova.conf
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from nova import exception
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@ -28,6 +30,7 @@ from nova.i18n import _
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from nova.scheduler import driver
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CONF = nova.conf.CONF
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LOG = logging.getLogger(__name__)
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class ChanceScheduler(driver.Scheduler):
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@ -35,6 +38,11 @@ class ChanceScheduler(driver.Scheduler):
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USES_ALLOCATION_CANDIDATES = False
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def __init__(self, *args, **kwargs):
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super(ChanceScheduler, self).__init__(*args, **kwargs)
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LOG.warning('ChanceScheduler is deprecated in Pike and will be '
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'removed in a subsequent release.')
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def _filter_hosts(self, hosts, spec_obj):
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"""Filter a list of hosts based on RequestSpec."""
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@ -0,0 +1,9 @@
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---
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deprecations:
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- |
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The CachingScheduler and ChanceScheduler drivers are deprecated in Pike.
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These are not integrated with the placement service, and their primary
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purpose (speed over correctness) should be addressed by the default
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FilterScheduler going forward. If ChanceScheduler behavior is desired
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(i.e. speed trumps correctness) then configuring the FilterScheduler with
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no enabled filters should approximate that behavior.
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