99 lines
3.8 KiB
Python
99 lines
3.8 KiB
Python
# Copyright (c) 2011 OpenStack Foundation
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# Copyright (c) 2012 Cloudscaling
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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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from oslo.config import cfg
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from nova.i18n import _LW
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from nova.openstack.common import log as logging
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from nova.scheduler import filters
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from nova.scheduler.filters import utils
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LOG = logging.getLogger(__name__)
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ram_allocation_ratio_opt = cfg.FloatOpt('ram_allocation_ratio',
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default=1.5,
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help='Virtual ram to physical ram allocation ratio which affects '
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'all ram filters. This configuration specifies a global ratio '
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'for RamFilter. For AggregateRamFilter, it will fall back to '
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'this configuration value if no per-aggregate setting found.')
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CONF = cfg.CONF
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CONF.register_opt(ram_allocation_ratio_opt)
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class BaseRamFilter(filters.BaseHostFilter):
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def _get_ram_allocation_ratio(self, host_state, filter_properties):
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raise NotImplementedError
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def host_passes(self, host_state, filter_properties):
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"""Only return hosts with sufficient available RAM."""
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instance_type = filter_properties.get('instance_type')
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requested_ram = instance_type['memory_mb']
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free_ram_mb = host_state.free_ram_mb
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total_usable_ram_mb = host_state.total_usable_ram_mb
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ram_allocation_ratio = self._get_ram_allocation_ratio(host_state,
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filter_properties)
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memory_mb_limit = total_usable_ram_mb * ram_allocation_ratio
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used_ram_mb = total_usable_ram_mb - free_ram_mb
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usable_ram = memory_mb_limit - used_ram_mb
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if not usable_ram >= requested_ram:
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LOG.debug("%(host_state)s does not have %(requested_ram)s MB "
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"usable ram, it only has %(usable_ram)s MB usable ram.",
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{'host_state': host_state,
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'requested_ram': requested_ram,
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'usable_ram': usable_ram})
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return False
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# save oversubscription limit for compute node to test against:
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host_state.limits['memory_mb'] = memory_mb_limit
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return True
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class RamFilter(BaseRamFilter):
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"""Ram Filter with over subscription flag."""
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ram_allocation_ratio = CONF.ram_allocation_ratio
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def _get_ram_allocation_ratio(self, host_state, filter_properties):
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return self.ram_allocation_ratio
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class AggregateRamFilter(BaseRamFilter):
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"""AggregateRamFilter with per-aggregate ram subscription flag.
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Fall back to global ram_allocation_ratio if no per-aggregate setting found.
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"""
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def _get_ram_allocation_ratio(self, host_state, filter_properties):
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# TODO(uni): DB query in filter is a performance hit, especially for
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# system with lots of hosts. Will need a general solution here to fix
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# all filters with aggregate DB call things.
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aggregate_vals = utils.aggregate_values_from_db(
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filter_properties['context'],
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host_state.host,
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'ram_allocation_ratio')
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try:
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ratio = utils.validate_num_values(
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aggregate_vals, CONF.ram_allocation_ratio, cast_to=float)
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except ValueError as e:
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LOG.warning(_LW("Could not decode ram_allocation_ratio: '%s'"), e)
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ratio = CONF.ram_allocation_ratio
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return ratio
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