OpenStack Compute (Nova)
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
from oslo_log import log as logging
from nova import objects
from nova.objects import fields
from nova.scheduler import filters
from nova.virt import hardware
LOG = logging.getLogger(__name__)
class NUMATopologyFilter(filters.BaseHostFilter):
"""Filter on requested NUMA topology."""
# NOTE(sean-k-mooney): In change I0322d872bdff68936033a6f5a54e8296a6fb343
# we validate that the NUMA topology does not change in the api. If the
# requested image would alter the NUMA constraints we reject the rebuild
# request and therefore do not need to run this filter on rebuild.
def _satisfies_cpu_policy(self, host_state, extra_specs, image_props):
"""Check that the host_state provided satisfies any available
CPU policy requirements.
host_topology, _ = hardware.host_topology_and_format_from_host(
# NOTE(stephenfin): There can be conflicts between the policy
# specified by the image and that specified by the instance, but this
# is not the place to resolve these. We do this during scheduling.
cpu_policy = [extra_specs.get('hw:cpu_policy'),
cpu_thread_policy = [extra_specs.get('hw:cpu_thread_policy'),
if not host_topology:
return True
if fields.CPUAllocationPolicy.DEDICATED not in cpu_policy:
return True
if fields.CPUThreadAllocationPolicy.REQUIRE not in cpu_thread_policy:
return True
if not host_topology.has_threads:
LOG.debug("%(host_state)s fails CPU policy requirements. "
"Host does not have hyperthreading or "
"hyperthreading is disabled, but 'require' threads "
"policy was requested.", {'host_state': host_state})
return False
return True
def host_passes(self, host_state, spec_obj):
# TODO(stephenfin): The 'numa_fit_instance_to_host' function has the
# unfortunate side effect of modifying 'spec_obj.numa_topology' - an
# InstanceNUMATopology object - by populating the 'cpu_pinning' field.
# This is rather rude and said function should be reworked to avoid
# doing this. That's a large, non-backportable cleanup however, so for
# now we just duplicate spec_obj to prevent changes propagating to
# future filter calls.
spec_obj = spec_obj.obj_clone()
ram_ratio = host_state.ram_allocation_ratio
cpu_ratio = host_state.cpu_allocation_ratio
extra_specs = spec_obj.flavor.extra_specs
image_props =
requested_topology = spec_obj.numa_topology
host_topology, _fmt = hardware.host_topology_and_format_from_host(
pci_requests = spec_obj.pci_requests
network_metadata = None
if 'network_metadata' in spec_obj:
network_metadata = spec_obj.network_metadata
if pci_requests:
pci_requests = pci_requests.requests
if not self._satisfies_cpu_policy(host_state, extra_specs,
return False
if requested_topology and host_topology:
limits = objects.NUMATopologyLimits(
if network_metadata:
limits.network_metadata = network_metadata
instance_topology = (hardware.numa_fit_instance_to_host(
host_topology, requested_topology,
if not instance_topology:
LOG.debug("%(host)s, %(node)s fails NUMA topology "
"requirements. The instance does not fit on this "
"host.", {'host':,
'node': host_state.nodename},
return False
host_state.limits['numa_topology'] = limits
return True
elif requested_topology:
LOG.debug("%(host)s, %(node)s fails NUMA topology requirements. "
"No host NUMA topology while the instance specified "
{'host':, 'node': host_state.nodename},
return False
return True