807 lines
33 KiB
Python
807 lines
33 KiB
Python
# Copyright (c) 2012 OpenStack Foundation
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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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Track resources like memory and disk for a compute host. Provides the
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scheduler with useful information about availability through the ComputeNode
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model.
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"""
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import copy
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from oslo.config import cfg
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from oslo.utils import importutils
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from nova.compute import claims
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from nova.compute import flavors
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from nova.compute import monitors
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from nova.compute import resources as ext_resources
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from nova.compute import task_states
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from nova.compute import vm_states
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from nova import conductor
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from nova import exception
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from nova.i18n import _
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from nova import objects
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from nova.objects import base as obj_base
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from nova.openstack.common import jsonutils
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from nova.openstack.common import log as logging
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from nova.pci import pci_manager
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from nova import rpc
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from nova.scheduler import client as scheduler_client
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from nova import utils
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from nova.virt import hardware
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resource_tracker_opts = [
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cfg.IntOpt('reserved_host_disk_mb', default=0,
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help='Amount of disk in MB to reserve for the host'),
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cfg.IntOpt('reserved_host_memory_mb', default=512,
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help='Amount of memory in MB to reserve for the host'),
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cfg.StrOpt('compute_stats_class',
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default='nova.compute.stats.Stats',
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help='Class that will manage stats for the local compute host'),
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cfg.ListOpt('compute_resources',
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default=['vcpu'],
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help='The names of the extra resources to track.'),
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]
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CONF = cfg.CONF
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CONF.register_opts(resource_tracker_opts)
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LOG = logging.getLogger(__name__)
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COMPUTE_RESOURCE_SEMAPHORE = "compute_resources"
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CONF.import_opt('my_ip', 'nova.netconf')
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class ResourceTracker(object):
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"""Compute helper class for keeping track of resource usage as instances
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are built and destroyed.
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"""
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def __init__(self, host, driver, nodename):
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self.host = host
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self.driver = driver
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self.pci_tracker = None
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self.nodename = nodename
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self.compute_node = None
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self.stats = importutils.import_object(CONF.compute_stats_class)
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self.tracked_instances = {}
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self.tracked_migrations = {}
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self.conductor_api = conductor.API()
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monitor_handler = monitors.ResourceMonitorHandler()
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self.monitors = monitor_handler.choose_monitors(self)
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self.ext_resources_handler = \
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ext_resources.ResourceHandler(CONF.compute_resources)
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self.notifier = rpc.get_notifier()
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self.old_resources = {}
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self.scheduler_client = scheduler_client.SchedulerClient()
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@utils.synchronized(COMPUTE_RESOURCE_SEMAPHORE)
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def instance_claim(self, context, instance_ref, limits=None):
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"""Indicate that some resources are needed for an upcoming compute
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instance build operation.
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This should be called before the compute node is about to perform
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an instance build operation that will consume additional resources.
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:param context: security context
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:param instance_ref: instance to reserve resources for
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:param limits: Dict of oversubscription limits for memory, disk,
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and CPUs.
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:returns: A Claim ticket representing the reserved resources. It can
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be used to revert the resource usage if an error occurs
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during the instance build.
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"""
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if self.disabled:
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# compute_driver doesn't support resource tracking, just
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# set the 'host' and node fields and continue the build:
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self._set_instance_host_and_node(context, instance_ref)
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return claims.NopClaim()
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# sanity checks:
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if instance_ref['host']:
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LOG.warning(_("Host field should not be set on the instance until "
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"resources have been claimed."),
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instance=instance_ref)
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if instance_ref['node']:
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LOG.warning(_("Node field should not be set on the instance "
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"until resources have been claimed."),
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instance=instance_ref)
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# get memory overhead required to build this instance:
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overhead = self.driver.estimate_instance_overhead(instance_ref)
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LOG.debug("Memory overhead for %(flavor)d MB instance; %(overhead)d "
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"MB", {'flavor': instance_ref['memory_mb'],
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'overhead': overhead['memory_mb']})
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claim = claims.Claim(context, instance_ref, self, self.compute_node,
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overhead=overhead, limits=limits)
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self._set_instance_host_and_node(context, instance_ref)
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# Mark resources in-use and update stats
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self._update_usage_from_instance(context, self.compute_node,
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instance_ref)
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elevated = context.elevated()
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# persist changes to the compute node:
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self._update(elevated, self.compute_node)
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return claim
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@utils.synchronized(COMPUTE_RESOURCE_SEMAPHORE)
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def resize_claim(self, context, instance, instance_type,
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image_meta=None, limits=None):
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"""Indicate that resources are needed for a resize operation to this
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compute host.
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:param context: security context
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:param instance: instance object to reserve resources for
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:param instance_type: new instance_type being resized to
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:param limits: Dict of oversubscription limits for memory, disk,
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and CPUs
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:returns: A Claim ticket representing the reserved resources. This
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should be turned into finalize a resource claim or free
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resources after the compute operation is finished.
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"""
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image_meta = image_meta or {}
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if self.disabled:
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# compute_driver doesn't support resource tracking, just
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# generate the migration record and continue the resize:
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migration = self._create_migration(context, instance,
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instance_type)
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return claims.NopClaim(migration=migration)
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# get memory overhead required to build this instance:
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overhead = self.driver.estimate_instance_overhead(instance_type)
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LOG.debug("Memory overhead for %(flavor)d MB instance; %(overhead)d "
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"MB", {'flavor': instance_type['memory_mb'],
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'overhead': overhead['memory_mb']})
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instance_ref = obj_base.obj_to_primitive(instance)
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claim = claims.ResizeClaim(context, instance_ref, instance_type,
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image_meta, self, self.compute_node,
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overhead=overhead, limits=limits)
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migration = self._create_migration(context, instance_ref,
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instance_type)
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claim.migration = migration
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# Mark the resources in-use for the resize landing on this
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# compute host:
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self._update_usage_from_migration(context, instance_ref, image_meta,
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self.compute_node, migration)
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elevated = context.elevated()
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self._update(elevated, self.compute_node)
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return claim
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def _create_migration(self, context, instance, instance_type):
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"""Create a migration record for the upcoming resize. This should
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be done while the COMPUTE_RESOURCES_SEMAPHORE is held so the resource
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claim will not be lost if the audit process starts.
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"""
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old_instance_type = flavors.extract_flavor(instance)
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migration = objects.Migration()
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migration.dest_compute = self.host
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migration.dest_node = self.nodename
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migration.dest_host = self.driver.get_host_ip_addr()
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migration.old_instance_type_id = old_instance_type['id']
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migration.new_instance_type_id = instance_type['id']
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migration.status = 'pre-migrating'
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migration.instance_uuid = instance['uuid']
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migration.source_compute = instance['host']
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migration.source_node = instance['node']
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migration.create(context.elevated())
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return migration
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def _set_instance_host_and_node(self, context, instance_ref):
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"""Tag the instance as belonging to this host. This should be done
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while the COMPUTE_RESOURCES_SEMAPHORE is held so the resource claim
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will not be lost if the audit process starts.
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"""
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values = {'host': self.host, 'node': self.nodename,
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'launched_on': self.host}
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self.conductor_api.instance_update(context, instance_ref['uuid'],
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**values)
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instance_ref['host'] = self.host
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instance_ref['launched_on'] = self.host
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instance_ref['node'] = self.nodename
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@utils.synchronized(COMPUTE_RESOURCE_SEMAPHORE)
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def abort_instance_claim(self, context, instance):
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"""Remove usage from the given instance."""
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# flag the instance as deleted to revert the resource usage
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# and associated stats:
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instance['vm_state'] = vm_states.DELETED
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self._update_usage_from_instance(context, self.compute_node, instance)
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self._update(context.elevated(), self.compute_node)
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@utils.synchronized(COMPUTE_RESOURCE_SEMAPHORE)
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def drop_resize_claim(self, context, instance, instance_type=None,
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image_meta=None, prefix='new_'):
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"""Remove usage for an incoming/outgoing migration."""
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if instance['uuid'] in self.tracked_migrations:
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migration, itype = self.tracked_migrations.pop(instance['uuid'])
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if not instance_type:
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ctxt = context.elevated()
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instance_type = self._get_instance_type(ctxt, instance, prefix)
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if image_meta is None:
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image_meta = utils.get_image_from_system_metadata(
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instance['system_metadata'])
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if instance_type['id'] == itype['id']:
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numa_topology = (
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hardware.VirtNUMAInstanceTopology.get_constraints(
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itype, image_meta))
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usage = self._get_usage_dict(
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itype, numa_topology=numa_topology)
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if self.pci_tracker:
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self.pci_tracker.update_pci_for_migration(context,
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instance,
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sign=-1)
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self._update_usage(context, self.compute_node, usage, sign=-1)
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ctxt = context.elevated()
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self._update(ctxt, self.compute_node)
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@utils.synchronized(COMPUTE_RESOURCE_SEMAPHORE)
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def update_usage(self, context, instance):
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"""Update the resource usage and stats after a change in an
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instance
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"""
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if self.disabled:
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return
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uuid = instance['uuid']
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# don't update usage for this instance unless it submitted a resource
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# claim first:
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if uuid in self.tracked_instances:
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self._update_usage_from_instance(context, self.compute_node,
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instance)
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self._update(context.elevated(), self.compute_node)
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@property
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def disabled(self):
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return self.compute_node is None
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def _get_host_metrics(self, context, nodename):
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"""Get the metrics from monitors and
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notify information to message bus.
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"""
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metrics = []
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metrics_info = {}
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for monitor in self.monitors:
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try:
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metrics += monitor.get_metrics(nodename=nodename)
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except Exception:
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LOG.warn(_("Cannot get the metrics from %s."), monitors)
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if metrics:
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metrics_info['nodename'] = nodename
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metrics_info['metrics'] = metrics
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metrics_info['host'] = self.host
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metrics_info['host_ip'] = CONF.my_ip
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notifier = rpc.get_notifier(service='compute', host=nodename)
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notifier.info(context, 'compute.metrics.update', metrics_info)
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return metrics
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def update_available_resource(self, context):
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"""Override in-memory calculations of compute node resource usage based
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on data audited from the hypervisor layer.
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Add in resource claims in progress to account for operations that have
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declared a need for resources, but not necessarily retrieved them from
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the hypervisor layer yet.
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"""
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LOG.audit(_("Auditing locally available compute resources"))
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resources = self.driver.get_available_resource(self.nodename)
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if not resources:
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# The virt driver does not support this function
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LOG.audit(_("Virt driver does not support "
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"'get_available_resource' Compute tracking is disabled."))
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self.compute_node = None
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return
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resources['host_ip'] = CONF.my_ip
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# TODO(berrange): remove this once all virt drivers are updated
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# to report topology
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if "numa_topology" not in resources:
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resources["numa_topology"] = None
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self._verify_resources(resources)
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self._report_hypervisor_resource_view(resources)
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return self._update_available_resource(context, resources)
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@utils.synchronized(COMPUTE_RESOURCE_SEMAPHORE)
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def _update_available_resource(self, context, resources):
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if 'pci_passthrough_devices' in resources:
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if not self.pci_tracker:
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self.pci_tracker = pci_manager.PciDevTracker()
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self.pci_tracker.set_hvdevs(jsonutils.loads(resources.pop(
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'pci_passthrough_devices')))
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# Grab all instances assigned to this node:
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instances = objects.InstanceList.get_by_host_and_node(
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context, self.host, self.nodename,
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expected_attrs=['system_metadata',
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'numa_topology'])
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# Now calculate usage based on instance utilization:
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self._update_usage_from_instances(context, resources, instances)
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# Grab all in-progress migrations:
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capi = self.conductor_api
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migrations = capi.migration_get_in_progress_by_host_and_node(context,
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self.host, self.nodename)
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self._update_usage_from_migrations(context, resources, migrations)
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# Detect and account for orphaned instances that may exist on the
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# hypervisor, but are not in the DB:
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orphans = self._find_orphaned_instances()
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self._update_usage_from_orphans(context, resources, orphans)
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# NOTE(yjiang5): Because pci device tracker status is not cleared in
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# this periodic task, and also because the resource tracker is not
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# notified when instances are deleted, we need remove all usages
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# from deleted instances.
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if self.pci_tracker:
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self.pci_tracker.clean_usage(instances, migrations, orphans)
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resources['pci_stats'] = jsonutils.dumps(self.pci_tracker.stats)
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else:
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resources['pci_stats'] = jsonutils.dumps([])
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self._report_final_resource_view(resources)
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metrics = self._get_host_metrics(context, self.nodename)
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resources['metrics'] = jsonutils.dumps(metrics)
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self._sync_compute_node(context, resources)
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def _sync_compute_node(self, context, resources):
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"""Create or update the compute node DB record."""
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if not self.compute_node:
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# we need a copy of the ComputeNode record:
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service = self._get_service(context)
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if not service:
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# no service record, disable resource
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return
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compute_node_refs = service['compute_node']
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if compute_node_refs:
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for cn in compute_node_refs:
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if cn.get('hypervisor_hostname') == self.nodename:
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self.compute_node = cn
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if self.pci_tracker:
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self.pci_tracker.set_compute_node_id(cn['id'])
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break
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if not self.compute_node:
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# Need to create the ComputeNode record:
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resources['service_id'] = service['id']
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self._create(context, resources)
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if self.pci_tracker:
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self.pci_tracker.set_compute_node_id(self.compute_node['id'])
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LOG.info(_('Compute_service record created for %(host)s:%(node)s')
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% {'host': self.host, 'node': self.nodename})
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else:
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# just update the record:
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self._update(context, resources)
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LOG.info(_('Compute_service record updated for %(host)s:%(node)s')
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% {'host': self.host, 'node': self.nodename})
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def _write_ext_resources(self, resources):
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resources['stats'] = {}
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resources['stats'].update(self.stats)
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self.ext_resources_handler.write_resources(resources)
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def _create(self, context, values):
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"""Create the compute node in the DB."""
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# initialize load stats from existing instances:
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self._write_ext_resources(values)
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# NOTE(pmurray): the stats field is stored as a json string. The
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# json conversion will be done automatically by the ComputeNode object
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# so this can be removed when using ComputeNode.
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values['stats'] = jsonutils.dumps(values['stats'])
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self.compute_node = self.conductor_api.compute_node_create(context,
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values)
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# NOTE(sbauza): We don't want to miss the first creation event
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self._update_resource_stats(context, values)
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def _get_service(self, context):
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try:
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return self.conductor_api.service_get_by_compute_host(context,
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self.host)
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except exception.NotFound:
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LOG.warn(_("No service record for host %s"), self.host)
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def _report_hypervisor_resource_view(self, resources):
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"""Log the hypervisor's view of free resources.
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This is just a snapshot of resource usage recorded by the
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virt driver.
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The following resources are logged:
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- free memory
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- free disk
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- free CPUs
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- assignable PCI devices
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"""
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free_ram_mb = resources['memory_mb'] - resources['memory_mb_used']
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free_disk_gb = resources['local_gb'] - resources['local_gb_used']
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LOG.debug("Hypervisor: free ram (MB): %s" % free_ram_mb)
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LOG.debug("Hypervisor: free disk (GB): %s" % free_disk_gb)
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vcpus = resources['vcpus']
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if vcpus:
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free_vcpus = vcpus - resources['vcpus_used']
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LOG.debug("Hypervisor: free VCPUs: %s" % free_vcpus)
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else:
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LOG.debug("Hypervisor: VCPU information unavailable")
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if 'pci_passthrough_devices' in resources and \
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resources['pci_passthrough_devices']:
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LOG.debug("Hypervisor: assignable PCI devices: %s" %
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resources['pci_passthrough_devices'])
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else:
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LOG.debug("Hypervisor: no assignable PCI devices")
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def _report_final_resource_view(self, resources):
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"""Report final calculate of physical memory, used virtual memory,
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disk, usable vCPUs, used virtual CPUs and PCI devices,
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including instance calculations and in-progress resource claims. These
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values will be exposed via the compute node table to the scheduler.
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"""
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LOG.audit(_("Total physical ram (MB): %(pram)s, "
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"total allocated virtual ram (MB): %(vram)s"),
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{'pram': resources['memory_mb'],
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'vram': resources['memory_mb_used']})
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LOG.audit(_("Free disk (GB): %s") % resources['free_disk_gb'])
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vcpus = resources['vcpus']
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if vcpus:
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LOG.audit(_("Total usable vcpus: %(tcpu)s, "
|
|
"total allocated vcpus: %(ucpu)s"),
|
|
{'tcpu': vcpus, 'ucpu': resources['vcpus_used']})
|
|
else:
|
|
LOG.audit(_("Free VCPU information unavailable"))
|
|
|
|
if 'pci_stats' in resources:
|
|
LOG.audit(_("PCI stats: %s"), resources['pci_stats'])
|
|
|
|
def _resource_change(self, resources):
|
|
"""Check to see if any resouces have changed."""
|
|
if cmp(resources, self.old_resources) != 0:
|
|
self.old_resources = copy.deepcopy(resources)
|
|
return True
|
|
return False
|
|
|
|
def _update(self, context, values):
|
|
"""Update partial stats locally and populate them to Scheduler."""
|
|
self._write_ext_resources(values)
|
|
# NOTE(pmurray): the stats field is stored as a json string. The
|
|
# json conversion will be done automatically by the ComputeNode object
|
|
# so this can be removed when using ComputeNode.
|
|
values['stats'] = jsonutils.dumps(values['stats'])
|
|
|
|
if not self._resource_change(values):
|
|
return
|
|
if "service" in self.compute_node:
|
|
del self.compute_node['service']
|
|
# NOTE(sbauza): Now the DB update is asynchronous, we need to locally
|
|
# update the values
|
|
self.compute_node.update(values)
|
|
# Persist the stats to the Scheduler
|
|
self._update_resource_stats(context, values)
|
|
if self.pci_tracker:
|
|
self.pci_tracker.save(context)
|
|
|
|
def _update_resource_stats(self, context, values):
|
|
stats = values.copy()
|
|
stats['id'] = self.compute_node['id']
|
|
self.scheduler_client.update_resource_stats(
|
|
context, (self.host, self.nodename), stats)
|
|
|
|
def _update_usage(self, context, resources, usage, sign=1):
|
|
mem_usage = usage['memory_mb']
|
|
|
|
overhead = self.driver.estimate_instance_overhead(usage)
|
|
mem_usage += overhead['memory_mb']
|
|
|
|
resources['memory_mb_used'] += sign * mem_usage
|
|
resources['local_gb_used'] += sign * usage.get('root_gb', 0)
|
|
resources['local_gb_used'] += sign * usage.get('ephemeral_gb', 0)
|
|
|
|
# free ram and disk may be negative, depending on policy:
|
|
resources['free_ram_mb'] = (resources['memory_mb'] -
|
|
resources['memory_mb_used'])
|
|
resources['free_disk_gb'] = (resources['local_gb'] -
|
|
resources['local_gb_used'])
|
|
|
|
resources['running_vms'] = self.stats.num_instances
|
|
self.ext_resources_handler.update_from_instance(usage, sign)
|
|
|
|
# Calculate the numa usage
|
|
free = sign == -1
|
|
updated_numa_topology = hardware.get_host_numa_usage_from_instance(
|
|
resources, usage, free)
|
|
resources['numa_topology'] = updated_numa_topology
|
|
|
|
def _update_usage_from_migration(self, context, instance, image_meta,
|
|
resources, migration):
|
|
"""Update usage for a single migration. The record may
|
|
represent an incoming or outbound migration.
|
|
"""
|
|
uuid = migration['instance_uuid']
|
|
LOG.audit(_("Updating from migration %s") % uuid)
|
|
|
|
incoming = (migration['dest_compute'] == self.host and
|
|
migration['dest_node'] == self.nodename)
|
|
outbound = (migration['source_compute'] == self.host and
|
|
migration['source_node'] == self.nodename)
|
|
same_node = (incoming and outbound)
|
|
|
|
record = self.tracked_instances.get(uuid, None)
|
|
itype = None
|
|
|
|
if same_node:
|
|
# same node resize. record usage for whichever instance type the
|
|
# instance is *not* in:
|
|
if (instance['instance_type_id'] ==
|
|
migration['old_instance_type_id']):
|
|
itype = self._get_instance_type(context, instance, 'new_',
|
|
migration['new_instance_type_id'])
|
|
else:
|
|
# instance record already has new flavor, hold space for a
|
|
# possible revert to the old instance type:
|
|
itype = self._get_instance_type(context, instance, 'old_',
|
|
migration['old_instance_type_id'])
|
|
|
|
elif incoming and not record:
|
|
# instance has not yet migrated here:
|
|
itype = self._get_instance_type(context, instance, 'new_',
|
|
migration['new_instance_type_id'])
|
|
|
|
elif outbound and not record:
|
|
# instance migrated, but record usage for a possible revert:
|
|
itype = self._get_instance_type(context, instance, 'old_',
|
|
migration['old_instance_type_id'])
|
|
|
|
if image_meta is None:
|
|
image_meta = utils.get_image_from_system_metadata(
|
|
instance['system_metadata'])
|
|
|
|
if itype:
|
|
numa_topology = (
|
|
hardware.VirtNUMAInstanceTopology.get_constraints(
|
|
itype, image_meta))
|
|
usage = self._get_usage_dict(
|
|
itype, numa_topology=numa_topology)
|
|
if self.pci_tracker:
|
|
self.pci_tracker.update_pci_for_migration(context, instance)
|
|
self._update_usage(context, resources, usage)
|
|
if self.pci_tracker:
|
|
resources['pci_stats'] = jsonutils.dumps(
|
|
self.pci_tracker.stats)
|
|
else:
|
|
resources['pci_stats'] = jsonutils.dumps([])
|
|
self.tracked_migrations[uuid] = (migration, itype)
|
|
|
|
def _update_usage_from_migrations(self, context, resources, migrations):
|
|
|
|
self.tracked_migrations.clear()
|
|
|
|
filtered = {}
|
|
|
|
# do some defensive filtering against bad migrations records in the
|
|
# database:
|
|
for migration in migrations:
|
|
|
|
instance = migration['instance']
|
|
|
|
if not instance:
|
|
# migration referencing deleted instance
|
|
continue
|
|
|
|
uuid = instance['uuid']
|
|
|
|
# skip migration if instance isn't in a resize state:
|
|
if not self._instance_in_resize_state(instance):
|
|
LOG.warn(_("Instance not resizing, skipping migration."),
|
|
instance_uuid=uuid)
|
|
continue
|
|
|
|
# filter to most recently updated migration for each instance:
|
|
m = filtered.get(uuid, None)
|
|
if not m or migration['updated_at'] >= m['updated_at']:
|
|
filtered[uuid] = migration
|
|
|
|
for migration in filtered.values():
|
|
instance = migration['instance']
|
|
try:
|
|
self._update_usage_from_migration(context, instance, None,
|
|
resources, migration)
|
|
except exception.FlavorNotFound:
|
|
LOG.warn(_("Flavor could not be found, skipping "
|
|
"migration."), instance_uuid=uuid)
|
|
continue
|
|
|
|
def _update_usage_from_instance(self, context, resources, instance):
|
|
"""Update usage for a single instance."""
|
|
|
|
uuid = instance['uuid']
|
|
is_new_instance = uuid not in self.tracked_instances
|
|
is_deleted_instance = instance['vm_state'] == vm_states.DELETED
|
|
|
|
if is_new_instance:
|
|
self.tracked_instances[uuid] = obj_base.obj_to_primitive(instance)
|
|
sign = 1
|
|
|
|
if is_deleted_instance:
|
|
self.tracked_instances.pop(uuid)
|
|
sign = -1
|
|
|
|
self.stats.update_stats_for_instance(instance)
|
|
|
|
if self.pci_tracker:
|
|
self.pci_tracker.update_pci_for_instance(context, instance)
|
|
|
|
# if it's a new or deleted instance:
|
|
if is_new_instance or is_deleted_instance:
|
|
# new instance, update compute node resource usage:
|
|
self._update_usage(context, resources, instance, sign=sign)
|
|
|
|
resources['current_workload'] = self.stats.calculate_workload()
|
|
if self.pci_tracker:
|
|
resources['pci_stats'] = jsonutils.dumps(self.pci_tracker.stats)
|
|
else:
|
|
resources['pci_stats'] = jsonutils.dumps([])
|
|
|
|
def _update_usage_from_instances(self, context, resources, instances):
|
|
"""Calculate resource usage based on instance utilization. This is
|
|
different than the hypervisor's view as it will account for all
|
|
instances assigned to the local compute host, even if they are not
|
|
currently powered on.
|
|
"""
|
|
self.tracked_instances.clear()
|
|
|
|
# purge old stats and init with anything passed in by the driver
|
|
self.stats.clear()
|
|
self.stats.digest_stats(resources.get('stats'))
|
|
|
|
# set some initial values, reserve room for host/hypervisor:
|
|
resources['local_gb_used'] = CONF.reserved_host_disk_mb / 1024
|
|
resources['memory_mb_used'] = CONF.reserved_host_memory_mb
|
|
resources['free_ram_mb'] = (resources['memory_mb'] -
|
|
resources['memory_mb_used'])
|
|
resources['free_disk_gb'] = (resources['local_gb'] -
|
|
resources['local_gb_used'])
|
|
resources['current_workload'] = 0
|
|
resources['running_vms'] = 0
|
|
|
|
# Reset values for extended resources
|
|
self.ext_resources_handler.reset_resources(resources, self.driver)
|
|
|
|
for instance in instances:
|
|
if instance['vm_state'] != vm_states.DELETED:
|
|
self._update_usage_from_instance(context, resources, instance)
|
|
|
|
def _find_orphaned_instances(self):
|
|
"""Given the set of instances and migrations already account for
|
|
by resource tracker, sanity check the hypervisor to determine
|
|
if there are any "orphaned" instances left hanging around.
|
|
|
|
Orphans could be consuming memory and should be accounted for in
|
|
usage calculations to guard against potential out of memory
|
|
errors.
|
|
"""
|
|
uuids1 = frozenset(self.tracked_instances.keys())
|
|
uuids2 = frozenset(self.tracked_migrations.keys())
|
|
uuids = uuids1 | uuids2
|
|
|
|
usage = self.driver.get_per_instance_usage()
|
|
vuuids = frozenset(usage.keys())
|
|
|
|
orphan_uuids = vuuids - uuids
|
|
orphans = [usage[uuid] for uuid in orphan_uuids]
|
|
|
|
return orphans
|
|
|
|
def _update_usage_from_orphans(self, context, resources, orphans):
|
|
"""Include orphaned instances in usage."""
|
|
for orphan in orphans:
|
|
memory_mb = orphan['memory_mb']
|
|
|
|
LOG.warn(_("Detected running orphan instance: %(uuid)s (consuming "
|
|
"%(memory_mb)s MB memory)"),
|
|
{'uuid': orphan['uuid'], 'memory_mb': memory_mb})
|
|
|
|
# just record memory usage for the orphan
|
|
usage = {'memory_mb': memory_mb}
|
|
self._update_usage(context, resources, usage)
|
|
|
|
def _verify_resources(self, resources):
|
|
resource_keys = ["vcpus", "memory_mb", "local_gb", "cpu_info",
|
|
"vcpus_used", "memory_mb_used", "local_gb_used",
|
|
"numa_topology"]
|
|
|
|
missing_keys = [k for k in resource_keys if k not in resources]
|
|
if missing_keys:
|
|
reason = _("Missing keys: %s") % missing_keys
|
|
raise exception.InvalidInput(reason=reason)
|
|
|
|
def _instance_in_resize_state(self, instance):
|
|
vm = instance['vm_state']
|
|
task = instance['task_state']
|
|
|
|
if vm == vm_states.RESIZED:
|
|
return True
|
|
|
|
if (vm in [vm_states.ACTIVE, vm_states.STOPPED]
|
|
and task in [task_states.RESIZE_PREP,
|
|
task_states.RESIZE_MIGRATING, task_states.RESIZE_MIGRATED,
|
|
task_states.RESIZE_FINISH]):
|
|
return True
|
|
|
|
return False
|
|
|
|
def _get_instance_type(self, context, instance, prefix,
|
|
instance_type_id=None):
|
|
"""Get the instance type from sys metadata if it's stashed. If not,
|
|
fall back to fetching it via the object API.
|
|
|
|
See bug 1164110
|
|
"""
|
|
try:
|
|
return flavors.extract_flavor(instance, prefix)
|
|
except KeyError:
|
|
if not instance_type_id:
|
|
instance_type_id = instance['instance_type_id']
|
|
return objects.Flavor.get_by_id(context, instance_type_id)
|
|
|
|
def _get_usage_dict(self, object_or_dict, **updates):
|
|
"""Make a usage dict _update methods expect.
|
|
|
|
Accepts a dict or an Instance or Flavor object, and a set of updates.
|
|
Converts the object to a dict and applies the updates.
|
|
|
|
:param object_or_dict: instance or flavor as an object or just a dict
|
|
:param updates: key-value pairs to update the passed object.
|
|
Currently only considers 'numa_topology', all other
|
|
keys are ignored.
|
|
|
|
:returns: a dict with all the information from object_or_dict updated
|
|
with updates
|
|
"""
|
|
usage = {}
|
|
if isinstance(object_or_dict, (objects.Flavor, objects.Instance)):
|
|
usage = obj_base.obj_to_primitive(object_or_dict)
|
|
else:
|
|
usage.update(object_or_dict)
|
|
|
|
for key in ('numa_topology',):
|
|
if key in updates:
|
|
usage[key] = updates[key]
|
|
return usage
|