OpenStack Compute (Nova)
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# Copyright 2014 Red Hat, Inc
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
import collections
import fractions
import itertools
import math
import re
from typing import List, Optional, Set, Tuple
import os_resource_classes as orc
import os_traits
from oslo_log import log as logging
from oslo_utils import strutils
from oslo_utils import units
import six
import nova.conf
from nova import exception
from nova.i18n import _
from nova import objects
from nova.objects import fields
CONF = nova.conf.CONF
LOG = logging.getLogger(__name__)
MEMPAGES_SMALL = -1
MEMPAGES_LARGE = -2
MEMPAGES_ANY = -3
def get_vcpu_pin_set():
"""Parse ``vcpu_pin_set`` config.
:returns: A set of host CPU IDs that can be used for VCPU and PCPU
allocations.
"""
if not CONF.vcpu_pin_set:
return None
cpuset_ids = parse_cpu_spec(CONF.vcpu_pin_set)
if not cpuset_ids:
msg = _("No CPUs available after parsing 'vcpu_pin_set' config, %r")
raise exception.Invalid(msg % CONF.vcpu_pin_set)
return cpuset_ids
def get_cpu_dedicated_set():
"""Parse ``[compute] cpu_dedicated_set`` config.
:returns: A set of host CPU IDs that can be used for PCPU allocations.
"""
if not CONF.compute.cpu_dedicated_set:
return None
cpu_ids = parse_cpu_spec(CONF.compute.cpu_dedicated_set)
if not cpu_ids:
msg = _("No CPUs available after parsing '[compute] "
"cpu_dedicated_set' config, %r")
raise exception.Invalid(msg % CONF.compute.cpu_dedicated_set)
return cpu_ids
def get_cpu_shared_set():
"""Parse ``[compute] cpu_shared_set`` config.
:returns: A set of host CPU IDs that can be used for emulator threads and,
optionally, for VCPU allocations.
"""
if not CONF.compute.cpu_shared_set:
return None
shared_ids = parse_cpu_spec(CONF.compute.cpu_shared_set)
if not shared_ids:
msg = _("No CPUs available after parsing '[compute] cpu_shared_set' "
"config, %r")
raise exception.Invalid(msg % CONF.compute.cpu_shared_set)
return shared_ids
def parse_cpu_spec(spec):
"""Parse a CPU set specification.
Each element in the list is either a single CPU number, a range of
CPU numbers, or a caret followed by a CPU number to be excluded
from a previous range.
:param spec: cpu set string eg "1-4,^3,6"
:returns: a set of CPU indexes
"""
cpuset_ids = set()
cpuset_reject_ids = set()
for rule in spec.split(','):
rule = rule.strip()
# Handle multi ','
if len(rule) < 1:
continue
# Note the count limit in the .split() call
range_parts = rule.split('-', 1)
if len(range_parts) > 1:
reject = False
if range_parts[0] and range_parts[0][0] == '^':
reject = True
range_parts[0] = str(range_parts[0][1:])
# So, this was a range; start by converting the parts to ints
try:
start, end = [int(p.strip()) for p in range_parts]
except ValueError:
raise exception.Invalid(_("Invalid range expression %r")
% rule)
# Make sure it's a valid range
if start > end:
raise exception.Invalid(_("Invalid range expression %r")
% rule)
# Add available CPU ids to set
if not reject:
cpuset_ids |= set(range(start, end + 1))
else:
cpuset_reject_ids |= set(range(start, end + 1))
elif rule[0] == '^':
# Not a range, the rule is an exclusion rule; convert to int
try:
cpuset_reject_ids.add(int(rule[1:].strip()))
except ValueError:
raise exception.Invalid(_("Invalid exclusion "
"expression %r") % rule)
else:
# OK, a single CPU to include; convert to int
try:
cpuset_ids.add(int(rule))
except ValueError:
raise exception.Invalid(_("Invalid inclusion "
"expression %r") % rule)
# Use sets to handle the exclusion rules for us
cpuset_ids -= cpuset_reject_ids
return cpuset_ids
def format_cpu_spec(cpuset, allow_ranges=True):
"""Format a libvirt CPU range specification.
Format a set/list of CPU indexes as a libvirt CPU range
specification. If allow_ranges is true, it will try to detect
continuous ranges of CPUs, otherwise it will just list each CPU
index explicitly.
:param cpuset: set (or list) of CPU indexes
:returns: a formatted CPU range string
"""
# We attempt to detect ranges, but don't bother with
# trying to do range negations to minimize the overall
# spec string length
if allow_ranges:
ranges = []
previndex = None
for cpuindex in sorted(cpuset):
if previndex is None or previndex != (cpuindex - 1):
ranges.append([])
ranges[-1].append(cpuindex)
previndex = cpuindex
parts = []
for entry in ranges:
if len(entry) == 1:
parts.append(str(entry[0]))
else:
parts.append("%d-%d" % (entry[0], entry[len(entry) - 1]))
return ",".join(parts)
else:
return ",".join(str(id) for id in sorted(cpuset))
def get_number_of_serial_ports(flavor, image_meta):
"""Get the number of serial consoles from the flavor or image.
If flavor extra specs is not set, then any image meta value is
permitted. If flavor extra specs *is* set, then this provides the
default serial port count. The image meta is permitted to override
the extra specs, but *only* with a lower value, i.e.:
- flavor hw:serial_port_count=4
VM gets 4 serial ports
- flavor hw:serial_port_count=4 and image hw_serial_port_count=2
VM gets 2 serial ports
- image hw_serial_port_count=6
VM gets 6 serial ports
- flavor hw:serial_port_count=4 and image hw_serial_port_count=6
Abort guest boot - forbidden to exceed flavor value
:param flavor: Flavor object to read extra specs from
:param image_meta: nova.objects.ImageMeta object instance
:raises: exception.ImageSerialPortNumberInvalid if the serial port count
is not a valid integer
:raises: exception.ImageSerialPortNumberExceedFlavorValue if the serial
port count defined in image is greater than that of flavor
:returns: number of serial ports
"""
flavor_num_ports, image_num_ports = _get_flavor_image_meta(
'serial_port_count', flavor, image_meta)
if flavor_num_ports:
try:
flavor_num_ports = int(flavor_num_ports)
except ValueError:
raise exception.ImageSerialPortNumberInvalid(
num_ports=flavor_num_ports)
if flavor_num_ports and image_num_ports:
if image_num_ports > flavor_num_ports:
raise exception.ImageSerialPortNumberExceedFlavorValue()
return image_num_ports
return flavor_num_ports or image_num_ports or 1
class InstanceInfo(object):
def __init__(self, state, internal_id=None):
"""Create a new Instance Info object
:param state: Required. The running state, one of the power_state codes
:param internal_id: Optional. A unique ID for the instance. Need not be
related to the Instance.uuid.
"""
self.state = state
self.internal_id = internal_id
def __eq__(self, other):
return (self.__class__ == other.__class__ and
self.__dict__ == other.__dict__)
def _score_cpu_topology(topology, wanttopology):
"""Compare a topology against a desired configuration.
Calculate a score indicating how well a provided topology matches
against a preferred topology, where:
a score of 3 indicates an exact match for sockets, cores and
threads
a score of 2 indicates a match of sockets and cores, or sockets
and threads, or cores and threads
a score of 1 indicates a match of sockets or cores or threads
a score of 0 indicates no match
:param wanttopology: nova.objects.VirtCPUTopology instance for
preferred topology
:returns: score in range 0 (worst) to 3 (best)
"""
score = 0
if wanttopology.sockets and topology.sockets == wanttopology.sockets:
score = score + 1
if wanttopology.cores and topology.cores == wanttopology.cores:
score = score + 1
if wanttopology.threads and topology.threads == wanttopology.threads:
score = score + 1
return score
def get_cpu_topology_constraints(flavor, image_meta):
"""Get the topology constraints declared in flavor or image
Extracts the topology constraints from the configuration defined in
the flavor extra specs or the image metadata. In the flavor this
will look for:
hw:cpu_sockets - preferred socket count
hw:cpu_cores - preferred core count
hw:cpu_threads - preferred thread count
hw:cpu_max_sockets - maximum socket count
hw:cpu_max_cores - maximum core count
hw:cpu_max_threads - maximum thread count
In the image metadata this will look at:
hw_cpu_sockets - preferred socket count
hw_cpu_cores - preferred core count
hw_cpu_threads - preferred thread count
hw_cpu_max_sockets - maximum socket count
hw_cpu_max_cores - maximum core count
hw_cpu_max_threads - maximum thread count
The image metadata must be strictly lower than any values set in
the flavor. All values are, however, optional.
:param flavor: Flavor object to read extra specs from
:param image_meta: nova.objects.ImageMeta object instance
:raises: exception.ImageVCPULimitsRangeExceeded if the maximum
counts set against the image exceed the maximum counts
set against the flavor
:raises: exception.ImageVCPUTopologyRangeExceeded if the preferred
counts set against the image exceed the maximum counts set
against the image or flavor
:raises: exception.InvalidRequest if one of the provided flavor properties
is a non-integer
:returns: A two-tuple of objects.VirtCPUTopology instances. The
first element corresponds to the preferred topology,
while the latter corresponds to the maximum topology,
based on upper limits.
"""
flavor_max_sockets, image_max_sockets = _get_flavor_image_meta(
'cpu_max_sockets', flavor, image_meta, 0)
flavor_max_cores, image_max_cores = _get_flavor_image_meta(
'cpu_max_cores', flavor, image_meta, 0)
flavor_max_threads, image_max_threads = _get_flavor_image_meta(
'cpu_max_threads', flavor, image_meta, 0)
# image metadata is already of the correct type
try:
flavor_max_sockets = int(flavor_max_sockets)
flavor_max_cores = int(flavor_max_cores)
flavor_max_threads = int(flavor_max_threads)
except ValueError as e:
msg = _('Invalid flavor extra spec. Error: %s') % six.text_type(e)
raise exception.InvalidRequest(msg)
LOG.debug("Flavor limits %(sockets)d:%(cores)d:%(threads)d",
{"sockets": flavor_max_sockets,
"cores": flavor_max_cores,
"threads": flavor_max_threads})
LOG.debug("Image limits %(sockets)d:%(cores)d:%(threads)d",
{"sockets": image_max_sockets,
"cores": image_max_cores,
"threads": image_max_threads})
# Image limits are not permitted to exceed the flavor
# limits. ie they can only lower what the flavor defines
if ((flavor_max_sockets and image_max_sockets > flavor_max_sockets) or
(flavor_max_cores and image_max_cores > flavor_max_cores) or
(flavor_max_threads and image_max_threads > flavor_max_threads)):
raise exception.ImageVCPULimitsRangeExceeded(
image_sockets=image_max_sockets,
image_cores=image_max_cores,
image_threads=image_max_threads,
flavor_sockets=flavor_max_sockets,
flavor_cores=flavor_max_cores,
flavor_threads=flavor_max_threads)
max_sockets = image_max_sockets or flavor_max_sockets or 65536
max_cores = image_max_cores or flavor_max_cores or 65536
max_threads = image_max_threads or flavor_max_threads or 65536
flavor_sockets, image_sockets = _get_flavor_image_meta(
'cpu_sockets', flavor, image_meta, 0)
flavor_cores, image_cores = _get_flavor_image_meta(
'cpu_cores', flavor, image_meta, 0)
flavor_threads, image_threads = _get_flavor_image_meta(
'cpu_threads', flavor, image_meta, 0)
try:
flavor_sockets = int(flavor_sockets)
flavor_cores = int(flavor_cores)
flavor_threads = int(flavor_threads)
except ValueError as e:
msg = _('Invalid flavor extra spec. Error: %s') % six.text_type(e)
raise exception.InvalidRequest(msg)
LOG.debug("Flavor pref %(sockets)d:%(cores)d:%(threads)d",
{"sockets": flavor_sockets,
"cores": flavor_cores,
"threads": flavor_threads})
LOG.debug("Image pref %(sockets)d:%(cores)d:%(threads)d",
{"sockets": image_sockets,
"cores": image_cores,
"threads": image_threads})
# If the image limits have reduced the flavor limits we might need
# to discard the preferred topology from the flavor
if ((flavor_sockets > max_sockets) or
(flavor_cores > max_cores) or
(flavor_threads > max_threads)):
flavor_sockets = flavor_cores = flavor_threads = 0
# However, image topology is not permitted to exceed image/flavor
# limits
if ((image_sockets > max_sockets) or
(image_cores > max_cores) or
(image_threads > max_threads)):
raise exception.ImageVCPUTopologyRangeExceeded(
image_sockets=image_sockets,
image_cores=image_cores,
image_threads=image_threads,
max_sockets=max_sockets,
max_cores=max_cores,
max_threads=max_threads)
# If no preferred topology was set against the image then use the
# preferred topology from the flavor. We use 'not or' rather than
# 'not and', since if any value is set against the image this
# invalidates the entire set of values from the flavor
if not any((image_sockets, image_cores, image_threads)):
sockets = flavor_sockets
cores = flavor_cores
threads = flavor_threads
else:
sockets = image_sockets
cores = image_cores
threads = image_threads
LOG.debug('Chose sockets=%(sockets)d, cores=%(cores)d, '
'threads=%(threads)d; limits were sockets=%(maxsockets)d, '
'cores=%(maxcores)d, threads=%(maxthreads)d',
{"sockets": sockets, "cores": cores,
"threads": threads, "maxsockets": max_sockets,
"maxcores": max_cores, "maxthreads": max_threads})
return (objects.VirtCPUTopology(sockets=sockets, cores=cores,
threads=threads),
objects.VirtCPUTopology(sockets=max_sockets, cores=max_cores,
threads=max_threads))
def _get_possible_cpu_topologies(vcpus, maxtopology,
allow_threads):
"""Get a list of possible topologies for a vCPU count.
Given a total desired vCPU count and constraints on the maximum
number of sockets, cores and threads, return a list of
objects.VirtCPUTopology instances that represent every possible
topology that satisfies the constraints.
:param vcpus: total number of CPUs for guest instance
:param maxtopology: objects.VirtCPUTopology instance for upper
limits
:param allow_threads: True if the hypervisor supports CPU threads
:raises: exception.ImageVCPULimitsRangeImpossible if it is
impossible to achieve the total vcpu count given
the maximum limits on sockets, cores and threads
:returns: list of objects.VirtCPUTopology instances
"""
# Clamp limits to number of vcpus to prevent
# iterating over insanely large list
maxsockets = min(vcpus, maxtopology.sockets)
maxcores = min(vcpus, maxtopology.cores)
maxthreads = min(vcpus, maxtopology.threads)
if not allow_threads:
maxthreads = 1
LOG.debug("Build topologies for %(vcpus)d vcpu(s) "
"%(maxsockets)d:%(maxcores)d:%(maxthreads)d",
{"vcpus": vcpus, "maxsockets": maxsockets,
"maxcores": maxcores, "maxthreads": maxthreads})
# Figure out all possible topologies that match
# the required vcpus count and satisfy the declared
# limits. If the total vCPU count were very high
# it might be more efficient to factorize the vcpu
# count and then only iterate over its factors, but
# that's overkill right now
possible = []
for s in range(1, maxsockets + 1):
for c in range(1, maxcores + 1):
for t in range(1, maxthreads + 1):
if (t * c * s) != vcpus:
continue
possible.append(
objects.VirtCPUTopology(sockets=s,
cores=c,
threads=t))
# We want to
# - Minimize threads (ie larger sockets * cores is best)
# - Prefer sockets over cores
possible = sorted(possible, reverse=True,
key=lambda x: (x.sockets * x.cores,
x.sockets,
x.threads))
LOG.debug("Got %d possible topologies", len(possible))
if len(possible) == 0:
raise exception.ImageVCPULimitsRangeImpossible(vcpus=vcpus,
sockets=maxsockets,
cores=maxcores,
threads=maxthreads)
return possible
def _filter_for_numa_threads(possible, wantthreads):
"""Filter topologies which closest match to NUMA threads.
Determine which topologies provide the closest match to the number
of threads desired by the NUMA topology of the instance.
The possible topologies may not have any entries which match the
desired thread count. This method will find the topologies which
have the closest matching count. For example, if 'wantthreads' is 4
and the possible topologies has entries with 6, 3, 2 or 1 threads,
the topologies which have 3 threads will be identified as the
closest match not greater than 4 and will be returned.
:param possible: list of objects.VirtCPUTopology instances
:param wantthreads: desired number of threads
:returns: list of objects.VirtCPUTopology instances
"""
# First figure out the largest available thread
# count which is not greater than wantthreads
mostthreads = 0
for topology in possible:
if topology.threads > wantthreads:
continue
if topology.threads > mostthreads:
mostthreads = topology.threads
# Now restrict to just those topologies which
# match the largest thread count
bestthreads = []
for topology in possible:
if topology.threads != mostthreads:
continue
bestthreads.append(topology)
return bestthreads
def _sort_possible_cpu_topologies(possible, wanttopology):
"""Sort the topologies in order of preference.
Sort the provided list of possible topologies such that the
configurations which most closely match the preferred topology are
first.
:param possible: list of objects.VirtCPUTopology instances
:param wanttopology: objects.VirtCPUTopology instance for preferred
topology
:returns: sorted list of nova.objects.VirtCPUTopology instances
"""
# Look at possible topologies and score them according
# to how well they match the preferred topologies
# We don't use python's sort(), since we want to
# preserve the sorting done when populating the
# 'possible' list originally
scores = collections.defaultdict(list)
for topology in possible:
score = _score_cpu_topology(topology, wanttopology)
scores[score].append(topology)
# Build list of all possible topologies sorted
# by the match score, best match first
desired = []
desired.extend(scores[3])
desired.extend(scores[2])
desired.extend(scores[1])
desired.extend(scores[0])
return desired
def _get_desirable_cpu_topologies(flavor, image_meta, allow_threads=True,
numa_topology=None):
"""Identify desirable CPU topologies based for given constraints.
Look at the properties set in the flavor extra specs and the image
metadata and build up a list of all possible valid CPU topologies
that can be used in the guest. Then return this list sorted in
order of preference.
:param flavor: objects.Flavor instance to query extra specs from
:param image_meta: nova.objects.ImageMeta object instance
:param allow_threads: if the hypervisor supports CPU threads
:param numa_topology: objects.InstanceNUMATopology instance that
may contain additional topology constraints
(such as threading information) that should
be considered
:returns: sorted list of objects.VirtCPUTopology instances
"""
LOG.debug("Getting desirable topologies for flavor %(flavor)s "
"and image_meta %(image_meta)s, allow threads: %(threads)s",
{"flavor": flavor, "image_meta": image_meta,
"threads": allow_threads})
preferred, maximum = get_cpu_topology_constraints(flavor, image_meta)
LOG.debug("Topology preferred %(preferred)s, maximum %(maximum)s",
{"preferred": preferred, "maximum": maximum})
possible = _get_possible_cpu_topologies(flavor.vcpus,
maximum,
allow_threads)
LOG.debug("Possible topologies %s", possible)
if numa_topology:
min_requested_threads = None
cell_topologies = [cell.cpu_topology for cell in numa_topology.cells
if ('cpu_topology' in cell and cell.cpu_topology)]
if cell_topologies:
min_requested_threads = min(
topo.threads for topo in cell_topologies)
if min_requested_threads:
if preferred.threads:
min_requested_threads = min(preferred.threads,
min_requested_threads)
specified_threads = max(1, min_requested_threads)
LOG.debug("Filtering topologies best for %d threads",
specified_threads)
possible = _filter_for_numa_threads(possible,
specified_threads)
LOG.debug("Remaining possible topologies %s",
possible)
desired = _sort_possible_cpu_topologies(possible, preferred)
LOG.debug("Sorted desired topologies %s", desired)
return desired
def get_best_cpu_topology(flavor, image_meta, allow_threads=True,
numa_topology=None):
"""Identify best CPU topology for given constraints.
Look at the properties set in the flavor extra specs and the image
metadata and build up a list of all possible valid CPU topologies
that can be used in the guest. Then return the best topology to use
:param flavor: objects.Flavor instance to query extra specs from
:param image_meta: nova.objects.ImageMeta object instance
:param allow_threads: if the hypervisor supports CPU threads
:param numa_topology: objects.InstanceNUMATopology instance that
may contain additional topology constraints
(such as threading information) that should
be considered
:returns: an objects.VirtCPUTopology instance for best topology
"""
return _get_desirable_cpu_topologies(flavor, image_meta,
allow_threads, numa_topology)[0]
def _numa_cell_supports_pagesize_request(host_cell, inst_cell):
"""Determine whether the cell can accept the request.
:param host_cell: host cell to fit the instance cell onto
:param inst_cell: instance cell we want to fit
:raises: exception.MemoryPageSizeNotSupported if custom page
size not supported in host cell
:returns: the page size able to be handled by host_cell
"""
avail_pagesize = [page.size_kb for page in host_cell.mempages]
avail_pagesize.sort(reverse=True)
def verify_pagesizes(host_cell, inst_cell, avail_pagesize):
inst_cell_mem = inst_cell.memory * units.Ki
for pagesize in avail_pagesize:
if host_cell.can_fit_pagesize(pagesize, inst_cell_mem):
return pagesize
if inst_cell.pagesize == MEMPAGES_SMALL:
return verify_pagesizes(host_cell, inst_cell, avail_pagesize[-1:])
elif inst_cell.pagesize == MEMPAGES_LARGE:
return verify_pagesizes(host_cell, inst_cell, avail_pagesize[:-1])
elif inst_cell.pagesize == MEMPAGES_ANY:
return verify_pagesizes(host_cell, inst_cell, avail_pagesize)
else:
return verify_pagesizes(host_cell, inst_cell, [inst_cell.pagesize])
def _pack_instance_onto_cores(host_cell, instance_cell,
num_cpu_reserved=0):
"""Pack an instance onto a set of siblings.
Calculate the pinning for the given instance and its topology,
making sure that hyperthreads of the instance match up with those
of the host when the pinning takes effect. Also ensure that the
physical cores reserved for hypervisor on this host NUMA node do
not break any thread policies.
Currently the strategy for packing is to prefer siblings and try use
cores evenly by using emptier cores first. This is achieved by the
way we order cores in the sibling_sets structure, and the order in
which we iterate through it.
The main packing loop that iterates over the sibling_sets dictionary
will not currently try to look for a fit that maximizes number of
siblings, but will simply rely on the iteration ordering and picking
the first viable placement.
:param host_cell: objects.NUMACell instance - the host cell that
the instance should be pinned to
:param instance_cell: An instance of objects.InstanceNUMACell
describing the pinning requirements of the
instance
:param num_cpu_reserved: number of pCPUs reserved for hypervisor
:returns: An instance of objects.InstanceNUMACell containing the
pinning information, the physical cores reserved and
potentially a new topology to be exposed to the
instance. None if there is no valid way to satisfy the
sibling requirements for the instance.
"""
# get number of threads per core in host's cell
threads_per_core = max(map(len, host_cell.siblings)) or 1
LOG.debug('Packing an instance onto a set of siblings: '
' host_cell_free_siblings: %(siblings)s'
' instance_cell: %(cells)s'
' host_cell_id: %(host_cell_id)s'
' threads_per_core: %(threads_per_core)s'
' num_cpu_reserved: %(num_cpu_reserved)s',
{'siblings': host_cell.free_siblings,
'cells': instance_cell,
'host_cell_id': host_cell.id,
'threads_per_core': threads_per_core,
'num_cpu_reserved': num_cpu_reserved})
# We build up a data structure that answers the question: 'Given the
# number of threads I want to pack, give me a list of all the available
# sibling sets (or groups thereof) that can accommodate it'
sibling_sets = collections.defaultdict(list)
for sib in host_cell.free_siblings:
for threads_no in range(1, len(sib) + 1):
sibling_sets[threads_no].append(sib)
LOG.debug('Built sibling_sets: %(siblings)s', {'siblings': sibling_sets})
pinning = None
threads_no = 1
def _orphans(instance_cell, threads_per_core):
"""Number of instance CPUs which will not fill up a host core.
Best explained by an example: consider set of free host cores as such:
[(0, 1), (3, 5), (6, 7, 8)]
This would be a case of 2 threads_per_core AKA an entry for 2 in the
sibling_sets structure.
If we attempt to pack a 5 core instance on it - due to the fact that we
iterate the list in order, we will end up with a single core of the
instance pinned to a thread "alone" (with id 6), and we would have one
'orphan' vcpu.
"""
return len(instance_cell) % threads_per_core
def _threads(instance_cell, threads_per_core):
"""Threads to expose to the instance via the VirtCPUTopology.
This is calculated by taking the GCD of the number of threads we are
considering at the moment, and the number of orphans. An example for
instance_cell = 6
threads_per_core = 4
So we can fit the instance as such:
[(0, 1, 2, 3), (4, 5, 6, 7), (8, 9, 10, 11)]
x x x x x x
We can't expose 4 threads, as that will not be a valid topology (all
cores exposed to the guest have to have an equal number of threads),
and 1 would be too restrictive, but we want all threads that guest sees
to be on the same physical core, so we take GCD of 4 (max number of
threads) and 2 (number of 'orphan' CPUs) and get 2 as the number of
threads.
"""
# fractions.gcd is deprecated in favor of math.gcd starting in py35
if six.PY2:
gcd = fractions.gcd
else:
gcd = math.gcd
return gcd(threads_per_core, _orphans(instance_cell, threads_per_core))
def _get_pinning(threads_no, sibling_set, instance_cores):
"""Determines pCPUs/vCPUs mapping
Determines the pCPUs/vCPUs mapping regarding the number of
threads which can be used per cores.
:param threads_no: Number of host threads per cores which can
be used to pin vCPUs according to the
policies.
:param sibling_set: List of available threads per host cores
on a specific host NUMA node.
:param instance_cores: Set of vCPUs requested.
NOTE: Depending on how host is configured (HT/non-HT) a thread can
be considered as an entire core.
"""
if threads_no * len(sibling_set) < (len(instance_cores)):
return None
# Determines usable cores according the "threads number"
# constraint.
#
# For a sibling_set=[(0, 1, 2, 3), (4, 5, 6, 7)] and thread_no 1:
# usable_cores=[[0], [4]]
#
# For a sibling_set=[(0, 1, 2, 3), (4, 5, 6, 7)] and thread_no 2:
# usable_cores=[[0, 1], [4, 5]]
usable_cores = list(map(lambda s: list(s)[:threads_no], sibling_set))
# Determines the mapping vCPUs/pCPUs based on the sets of
# usable cores.
#
# For an instance_cores=[2, 3], usable_cores=[[0], [4]]
# vcpus_pinning=[(2, 0), (3, 4)]
vcpus_pinning = list(zip(sorted(instance_cores),
itertools.chain(*usable_cores)))
msg = ("Computed NUMA topology CPU pinning: usable pCPUs: "
"%(usable_cores)s, vCPUs mapping: %(vcpus_pinning)s")
msg_args = {
'usable_cores': usable_cores,
'vcpus_pinning': vcpus_pinning,
}
LOG.info(msg, msg_args)
return vcpus_pinning
def _get_reserved(sibling_set, vcpus_pinning, num_cpu_reserved=0,
cpu_thread_isolate=False):
"""Given available sibling_set, returns the pCPUs reserved
for hypervisor.
:param sibling_set: List of available threads per host cores
on a specific host NUMA node.
:param vcpus_pinning: List of tuple of (pCPU, vCPU) mapping.
:param num_cpu_reserved: Number of additional host CPUs which
need to be reserved.
:param cpu_thread_isolate: True if CPUThreadAllocationPolicy
is ISOLATE.
"""
if not vcpus_pinning:
return None
cpuset_reserved = None
usable_cores = list(map(lambda s: list(s), sibling_set))
if num_cpu_reserved:
# Updates the pCPUs used based on vCPUs pinned to.
# For the case vcpus_pinning=[(0, 0), (1, 2)] and
# usable_cores=[[0, 1], [2, 3], [4, 5]],
# if CPUThreadAllocationPolicy is isolated, we want
# to update usable_cores=[[4, 5]].
# If CPUThreadAllocationPolicy is *not* isolated,
# we want to update usable_cores=[[1],[3],[4, 5]].
for vcpu, pcpu in vcpus_pinning:
for sib in usable_cores:
if pcpu in sib:
if cpu_thread_isolate:
usable_cores.remove(sib)
else:
sib.remove(pcpu)
# Determines the pCPUs reserved for hypervisor
#
# For usable_cores=[[1],[3],[4, 5]], num_cpu_reserved=1
# cpuset_reserved=set([1])
cpuset_reserved = set(list(
itertools.chain(*usable_cores))[:num_cpu_reserved])
msg = ("Computed NUMA topology reserved pCPUs: usable pCPUs: "
"%(usable_cores)s, reserved pCPUs: %(cpuset_reserved)s")
msg_args = {
'usable_cores': usable_cores,
'cpuset_reserved': cpuset_reserved,
}
LOG.info(msg, msg_args)
return cpuset_reserved or None
if (instance_cell.cpu_thread_policy ==
fields.CPUThreadAllocationPolicy.REQUIRE):
LOG.debug("Requested 'require' thread policy for %d cores",
len(instance_cell))
elif (instance_cell.cpu_thread_policy ==
fields.CPUThreadAllocationPolicy.PREFER):
LOG.debug("Requested 'prefer' thread policy for %d cores",
len(instance_cell))
elif (instance_cell.cpu_thread_policy ==
fields.CPUThreadAllocationPolicy.ISOLATE):
LOG.debug("Requested 'isolate' thread policy for %d cores",
len(instance_cell))
else:
LOG.debug("User did not specify a thread policy. Using default "
"for %d cores", len(instance_cell))
if (instance_cell.cpu_thread_policy ==
fields.CPUThreadAllocationPolicy.ISOLATE):
# make sure we have at least one fully free core
if threads_per_core not in sibling_sets:
LOG.debug('Host does not have any fully free thread sibling sets.'
'It is not possible to emulate a non-SMT behavior '
'for the isolate policy without this.')
return
pinning = _get_pinning(
1, # we only want to "use" one thread per core
sibling_sets[threads_per_core],
instance_cell.cpuset)
cpuset_reserved = _get_reserved(
sibling_sets[1], pinning, num_cpu_reserved=num_cpu_reserved,
cpu_thread_isolate=True)
if not pinning or (num_cpu_reserved and not cpuset_reserved):
pinning, cpuset_reserved = (None, None)
else: # REQUIRE, PREFER (explicit, implicit)
if (instance_cell.cpu_thread_policy ==
fields.CPUThreadAllocationPolicy.REQUIRE):
# make sure we actually have some siblings to play with
if threads_per_core <= 1:
LOG.info("Host does not support hyperthreading or "
"hyperthreading is disabled, but 'require' "
"threads policy was requested.")
return
# NOTE(ndipanov): We iterate over the sibling sets in descending order
# of cores that can be packed. This is an attempt to evenly distribute
# instances among physical cores
for threads_no, sibling_set in sorted(
(t for t in sibling_sets.items()), reverse=True):
# NOTE(sfinucan): The key difference between the require and
# prefer policies is that require will not settle for non-siblings
# if this is all that is available. Enforce this by ensuring we're
# using sibling sets that contain at least one sibling
if (instance_cell.cpu_thread_policy ==
fields.CPUThreadAllocationPolicy.REQUIRE):
if threads_no <= 1:
LOG.debug('Skipping threads_no: %s, as it does not satisfy'
' the require policy', threads_no)
continue
pinning = _get_pinning(
threads_no, sibling_set,
instance_cell.cpuset)
cpuset_reserved = _get_reserved(
sibling_sets[1], pinning, num_cpu_reserved=num_cpu_reserved)
if not pinning or (num_cpu_reserved and not cpuset_reserved):
continue
break
# NOTE(sfinucan): If siblings weren't available and we're using PREFER
# (implicitly or explicitly), fall back to linear assignment across
# cores
if (instance_cell.cpu_thread_policy !=
fields.CPUThreadAllocationPolicy.REQUIRE and
not pinning):
threads_no = 1
# we create a fake sibling set by splitting all sibling sets and
# treating each core as if it has no siblings. This is necessary
# because '_get_pinning' will normally only take the same amount of
# cores ('threads_no' cores) from each sibling set. This is rather
# desirable when we're seeking to apply a thread policy but it is
# less desirable when we only care about resource usage as we do
# here. By treating each core as independent, as we do here, we
# maximize resource usage for almost-full nodes at the expense of a
# possible performance impact to the guest.
sibling_set = [set([x]) for x in itertools.chain(*sibling_sets[1])]
pinning = _get_pinning(
threads_no, sibling_set,
instance_cell.cpuset)
cpuset_reserved = _get_reserved(
sibling_set, pinning, num_cpu_reserved=num_cpu_reserved)
threads_no = _threads(instance_cell, threads_no)
if not pinning or (num_cpu_reserved and not cpuset_reserved):
return
LOG.debug('Selected cores for pinning: %s, in cell %s', pinning,
host_cell.id)
topology = objects.VirtCPUTopology(sockets=1,
cores=len(pinning) // threads_no,
threads=threads_no)
instance_cell.pin_vcpus(*pinning)
instance_cell.cpu_topology = topology
instance_cell.id = host_cell.id
instance_cell.cpuset_reserved = cpuset_reserved
return instance_cell
def _numa_fit_instance_cell_with_pinning(host_cell, instance_cell,
num_cpu_reserved=0):
"""Determine if cells can be pinned to a host cell.
:param host_cell: objects.NUMACell instance - the host cell that
the instance should be pinned to
:param instance_cell: objects.InstanceNUMACell instance without any
pinning information
:param num_cpu_reserved: int - number of pCPUs reserved for hypervisor
:returns: objects.InstanceNUMACell instance with pinning information,
or None if instance cannot be pinned to the given host
"""
required_cpus = len(instance_cell.cpuset) + num_cpu_reserved
if host_cell.avail_pcpus < required_cpus:
LOG.debug('Not enough available CPUs to schedule instance. '
'Oversubscription is not possible with pinned instances. '
'Required: %(required)d (%(vcpus)d + %(num_cpu_reserved)d), '
'actual: %(actual)d',
{'required': required_cpus,
'vcpus': len(instance_cell.cpuset),
'actual': host_cell.avail_pcpus,
'num_cpu_reserved': num_cpu_reserved})
return
if host_cell.avail_memory < instance_cell.memory:
LOG.debug('Not enough available memory to schedule instance. '
'Oversubscription is not possible with pinned instances. '
'Required: %(required)s, available: %(available)s, '
'total: %(total)s. ',
{'required': instance_cell.memory,
'available': host_cell.avail_memory,
'total': host_cell.memory})
return
# Try to pack the instance cell onto cores
numa_cell = _pack_instance_onto_cores(
host_cell, instance_cell, num_cpu_reserved=num_cpu_reserved)
if not numa_cell:
LOG.debug('Failed to map instance cell CPUs to host cell CPUs')
return numa_cell
def _numa_fit_instance_cell(host_cell, instance_cell, limit_cell=None,
cpuset_reserved=0):
"""Ensure an instance cell can fit onto a host cell
Ensure an instance cell can fit onto a host cell and, if so, return
a new objects.InstanceNUMACell with the id set to that of the host.
Returns None if the instance cell exceeds the limits of the host.
:param host_cell: host cell to fit the instance cell onto
:param instance_cell: instance cell we want to fit
:param limit_cell: an objects.NUMATopologyLimit or None
:param cpuset_reserved: An int to indicate the number of CPUs overhead
:returns: objects.InstanceNUMACell with the id set to that of the
host, or None
"""
LOG.debug('Attempting to fit instance cell %(cell)s on host_cell '
'%(host_cell)s', {'cell': instance_cell, 'host_cell': host_cell})
if 'pagesize' in instance_cell and instance_cell.pagesize:
# The instance has requested a page size. Verify that the requested
# size is valid and that there are available pages of that size on the
# host.
pagesize = _numa_cell_supports_pagesize_request(
host_cell, instance_cell)
if not pagesize:
LOG.debug('Host does not support requested memory pagesize. '
'Requested: %d kB', instance_cell.pagesize)
return
LOG.debug('Selected memory pagesize: %(selected_mem_pagesize)d kB. '
'Requested memory pagesize: %(requested_mem_pagesize)d '
'(small = -1, large = -2, any = -3)',
{'selected_mem_pagesize': pagesize,
'requested_mem_pagesize': instance_cell.pagesize})
instance_cell.pagesize = pagesize
else:
# The instance provides a NUMA topology but does not define any
# particular page size for its memory.
if host_cell.mempages:
# The host supports explicit page sizes. Use a pagesize-aware
# memory check using the smallest available page size.
pagesize = _get_smallest_pagesize(host_cell)
LOG.debug('No specific pagesize requested for instance, '
'selected pagesize: %d', pagesize)
# we want to allow overcommit in this case as we're not using
# hugepages
if not host_cell.can_fit_pagesize(pagesize,
instance_cell.memory * units.Ki,
use_free=False):
LOG.debug('Not enough available memory to schedule instance '
'with pagesize %(pagesize)d. Required: '
'%(required)s, available: %(available)s, total: '
'%(total)s.',
{'required': instance_cell.memory,
'available': host_cell.avail_memory,
'total': host_cell.memory,
'pagesize': pagesize})
return
else:
# The host does not support explicit page sizes. Ignore pagesizes
# completely.
# NOTE(stephenfin): Do not allow an instance to overcommit against
# itself on any NUMA cell, i.e. with 'ram_allocation_ratio = 2.0'
# on a host with 1GB RAM, we should allow two 1GB instances but not
# one 2GB instance.
if instance_cell.memory > host_cell.memory:
LOG.debug('Not enough host cell memory to fit instance cell. '
'Required: %(required)d, actual: %(actual)d',
{'required': instance_cell.memory,
'actual': host_cell.memory})
return
# The 'pcpuset' field is only set by newer compute nodes, so if it's
# not present then we've received this object from a pre-Train compute
# node and need to query against the 'cpuset' field instead until the
# compute node has been upgraded and starts reporting things properly.
# TODO(stephenfin): Remove in U
if 'pcpuset' not in host_cell:
host_cell.pcpuset = host_cell.cpuset
# NOTE(stephenfin): As with memory, do not allow an instance to overcommit
# against itself on any NUMA cell
if instance_cell.cpu_pinning_requested:
# TODO(stephenfin): Is 'cpuset_reserved' present if consuming emulator
# threads from shared CPU pools? If so, we don't want to add this here
required_cpus = len(instance_cell.cpuset) + cpuset_reserved
if required_cpus > len(host_cell.pcpuset):
LOG.debug('Not enough host cell CPUs to fit instance cell; '
'required: %(required)d + %(cpuset_reserved)d as '
'overhead, actual: %(actual)d', {
'required': len(instance_cell.cpuset),
'actual': len(host_cell.pcpuset),
'cpuset_reserved': cpuset_reserved
})
return
else:
required_cpus = len(instance_cell.cpuset) + cpuset_reserved
if required_cpus > len(host_cell.cpuset):
LOG.debug('Not enough host cell CPUs to fit instance cell; '
'required: %(required)d + %(cpuset_reserved)d as '
'overhead, actual: %(actual)d', {
'required': len(instance_cell.cpuset),
'actual': len(host_cell.cpuset),
'cpuset_reserved': cpuset_reserved
})
return
if instance_cell.cpu_pinning_requested:
LOG.debug('Pinning has been requested')
new_instance_cell = _numa_fit_instance_cell_with_pinning(
host_cell, instance_cell, cpuset_reserved)
if not new_instance_cell:
return
new_instance_cell.pagesize = instance_cell.pagesize
instance_cell = new_instance_cell
elif limit_cell:
LOG.debug('No pinning requested, considering limitations on usable cpu'
' and memory')
memory_usage = host_cell.memory_usage + instance_cell.memory
cpu_usage = host_cell.cpu_usage + len(instance_cell.cpuset)
cpu_limit = len(host_cell.cpuset) * limit_cell.cpu_allocation_ratio
ram_limit = host_cell.memory * limit_cell.ram_allocation_ratio
if memory_usage > ram_limit:
LOG.debug('Host cell has limitations on usable memory. There is '
'not enough free memory to schedule this instance. '
'Usage: %(usage)d, limit: %(limit)d',
{'usage': memory_usage, 'limit': ram_limit})
return
if cpu_usage > cpu_limit:
LOG.debug('Host cell has limitations on usable CPUs. There are '
'not enough free CPUs to schedule this instance. '
'Usage: %(usage)d, limit: %(limit)d',
{'usage': cpu_usage, 'limit': cpu_limit})
return
instance_cell.id = host_cell.id
return instance_cell
def _get_flavor_image_meta(key, flavor, image_meta, default=None):
"""Extract both flavor- and image-based variants of metadata."""
flavor_key = ':'.join(['hw', key])
image_key = '_'.join(['hw', key])
flavor_policy = flavor.get('extra_specs', {}).get(flavor_key, default)
image_policy = image_meta.properties.get(image_key, default)
return flavor_policy, image_policy
def get_mem_encryption_constraint(flavor, image_meta, machine_type=None):
"""Return a boolean indicating whether encryption of guest memory was
requested, either via the hw:mem_encryption extra spec or the
hw_mem_encryption image property (or both).
Also watch out for contradictory requests between the flavor and
image regarding memory encryption, and raise an exception where
encountered. These conflicts can arise in two different ways:
1) the flavor requests memory encryption but the image
explicitly requests *not* to have memory encryption, or
vice-versa
2) the flavor and/or image request memory encryption, but the
image is missing hw_firmware_type=uefi
3) the flavor and/or image request memory encryption, but the
machine type is set to a value which does not contain 'q35'
This can be called from the libvirt driver on the compute node, in
which case the driver should pass the result of
nova.virt.libvirt.utils.get_machine_type() as the machine_type
parameter, or from the API layer, in which case get_machine_type()
cannot be called since it relies on being run from the compute
node in order to retrieve CONF.libvirt.hw_machine_type.
:param instance_type: Flavor object
:param image: an ImageMeta object
:param machine_type: a string representing the machine type (optional)
:raises: nova.exception.FlavorImageConflict
:raises: nova.exception.InvalidMachineType
:returns: boolean indicating whether encryption of guest memory
was requested
"""
flavor_mem_enc_str, image_mem_enc = _get_flavor_image_meta(
'mem_encryption', flavor, image_meta)
flavor_mem_enc = None
if flavor_mem_enc_str is not None:
flavor_mem_enc = strutils.bool_from_string(flavor_mem_enc_str)
# Image property is a FlexibleBooleanField, so coercion to a
# boolean is handled automatically
if not flavor_mem_enc and not image_mem_enc:
return False
_check_for_mem_encryption_requirement_conflicts(
flavor_mem_enc_str, flavor_mem_enc, image_mem_enc, flavor, image_meta)
# If we get this far, either the extra spec or image property explicitly
# specified a requirement regarding memory encryption, and if both did,
# they are asking for the same thing.
requesters = []
if flavor_mem_enc:
requesters.append("hw:mem_encryption extra spec in %s flavor" %
flavor.name)
if image_mem_enc:
requesters.append("hw_mem_encryption property of image %s" %
image_meta.name)
_check_mem_encryption_uses_uefi_image(requesters, image_meta)
_check_mem_encryption_machine_type(image_meta, machine_type)
LOG.debug("Memory encryption requested by %s", " and ".join(requesters))
return True
def _check_for_mem_encryption_requirement_conflicts(
flavor_mem_enc_str, flavor_mem_enc, image_mem_enc, flavor, image_meta):
# Check for conflicts between explicit requirements regarding
# memory encryption.
if (flavor_mem_enc is not None and image_mem_enc is not None and
flavor_mem_enc != image_mem_enc):
emsg = _(
"Flavor %(flavor_name)s has hw:mem_encryption extra spec "
"explicitly set to %(flavor_val)s, conflicting with "
"image %(image_name)s which has hw_mem_encryption property "
"explicitly set to %(image_val)s"
)
data = {
'flavor_name': flavor.name,
'flavor_val': flavor_mem_enc_str,
'image_name': image_meta.name,
'image_val': image_mem_enc,
}
raise exception.FlavorImageConflict(emsg % data)
def _check_mem_encryption_uses_uefi_image(requesters, image_meta):
if image_meta.properties.get('hw_firmware_type') == 'uefi':
return
emsg = _(
"Memory encryption requested by %(requesters)s but image "
"%(image_name)s doesn't have 'hw_firmware_type' property set to 'uefi'"
)
data = {'requesters': " and ".join(requesters),
'image_name': image_meta.name}
raise exception.FlavorImageConflict(emsg % data)
def _check_mem_encryption_machine_type(image_meta, machine_type=None):
# NOTE(aspiers): As explained in the SEV spec, SEV needs a q35
# machine type in order to bind all the virtio devices to the PCIe
# bridge so that they use virtio 1.0 and not virtio 0.9, since
# QEMU's iommu_platform feature was added in virtio 1.0 only:
#
# http://specs.openstack.org/openstack/nova-specs/specs/train/approved/amd-sev-libvirt-support.html
#
# So if the image explicitly requests a machine type which is not
# in the q35 family, raise an exception.
#
# This check can be triggered both at API-level, at which point we
# can't check here what value of CONF.libvirt.hw_machine_type may
# have been configured on the compute node, and by the libvirt
# driver, in which case the driver can check that config option
# and will pass the machine_type parameter.
mach_type = machine_type or image_meta.properties.get('hw_machine_type')
# If hw_machine_type is not specified on the image and is not
# configured correctly on SEV compute nodes, then a separate check
# in the driver will catch that and potentially retry on other
# compute nodes.
if mach_type is None:
return
# Could be something like pc-q35-2.11 if a specific version of the
# machine type is required, so do substring matching.
if 'q35' not in mach_type:
raise exception.InvalidMachineType(
mtype=mach_type,
image_id=image_meta.id, image_name=image_meta.name,
reason=_("q35 type is required for SEV to work"))
def _get_numa_pagesize_constraint(flavor, image_meta):
"""Return the requested memory page size
:param flavor: a Flavor object to read extra specs from
:param image_meta: nova.objects.ImageMeta object instance
:raises: MemoryPageSizeInvalid if flavor extra spec or image
metadata provides an invalid hugepage value
:raises: MemoryPageSizeForbidden if flavor extra spec request
conflicts with image metadata request
:returns: a page size requested or MEMPAGES_*
"""
def check_and_return_pages_size(request):
if request == "any":
return MEMPAGES_ANY
elif request == "large":
return MEMPAGES_LARGE
elif request == "small":
return MEMPAGES_SMALL
else:
try:
request = int(request)
except ValueError:
try:
request = strutils.string_to_bytes(
request, return_int=True) / units.Ki
except ValueError:
request = 0
if request <= 0:
raise exception.MemoryPageSizeInvalid(pagesize=request)
return request
flavor_request, image_request = _get_flavor_image_meta(
'mem_page_size', flavor, image_meta)
if not flavor_request and image_request:
raise exception.MemoryPageSizeForbidden(
pagesize=image_request,
against="<empty>")
if not flavor_request:
# Nothing was specified for hugepages,
# let's the default process running.
return None
pagesize = check_and_return_pages_size(flavor_request)
if image_request and (pagesize in (MEMPAGES_ANY, MEMPAGES_LARGE)):
return check_and_return_pages_size(image_request)
elif image_request:
raise exception.MemoryPageSizeForbidden(
pagesize=image_request,
against=flavor_request)
return pagesize
def _get_constraint_mappings_from_flavor(flavor, key, func):
hw_numa_map = []
extra_specs = flavor.get('extra_specs', {})
for cellid in range(objects.ImageMetaProps.NUMA_NODES_MAX):
prop = '%s.%d' % (key, cellid)
if prop not in extra_specs:
break
hw_numa_map.append(func(extra_specs[prop]))
return hw_numa_map or None
def _get_numa_cpu_constraint(flavor, image_meta):
# type: (objects.Flavor, objects.ImageMeta) -> Optional[List[Set[int]]]
"""Validate and return the requested guest NUMA-guest CPU mapping.
Extract the user-provided mapping of guest CPUs to guest NUMA nodes. For
example, the flavor extra spec ``hw:numa_cpus.0=0-1,4`` will map guest
cores ``0``, ``1``, ``4`` to guest NUMA node ``0``.
:param flavor: ``nova.objects.Flavor`` instance
:param image_meta: ``nova.objects.ImageMeta`` instance
:raises: exception.ImageNUMATopologyForbidden if both image metadata and
flavor extra specs are defined.
:return: An ordered list of sets of CPU indexes to assign to each guest
NUMA node if matching extra specs or image metadata properties found,
else None.
"""
flavor_cpu_list = _get_constraint_mappings_from_flavor(
flavor, 'hw:numa_cpus', parse_cpu_spec)
image_cpu_list = image_meta.properties.get('hw_numa_cpus', None)
if flavor_cpu_list is None:
return image_cpu_list
if image_cpu_list is not None:
raise exception.ImageNUMATopologyForbidden(
name='hw_numa_cpus')
return flavor_cpu_list
def _get_numa_mem_constraint(flavor, image_meta):
# type: (objects.Flavor, objects.ImageMeta) -> Optional[List[Set[int]]]
"""Validate and return the requested guest NUMA-guest memory mapping.
Extract the user-provided mapping of guest memory to guest NUMA nodes. For
example, the flavor extra spec ``hw:numa_mem.0=1`` will map 1 GB of guest
memory to guest NUMA node ``0``.
:param flavor: ``nova.objects.Flavor`` instance
:param image_meta: ``nova.objects.ImageMeta`` instance
:raises: exception.ImageNUMATopologyForbidden if both image metadata and
flavor extra specs are defined
:return: An ordered list of memory (in GB) to assign to each guest NUMA
node if matching extra specs or image metadata properties found, else
None.
"""
flavor_mem_list = _get_constraint_mappings_from_flavor(
flavor, 'hw:numa_mem', int)
image_mem_list = image_meta.properties.get('hw_numa_mem', None)
if flavor_mem_list is None:
return image_mem_list
if image_mem_list is not None:
raise exception.ImageNUMATopologyForbidden(
name='hw_numa_mem')
return flavor_mem_list
def _get_numa_node_count_constraint(flavor, image_meta):
# type: (objects.Flavor, objects.ImageMeta) -> Optional[int]
"""Validate and return the requested NUMA nodes.
:param flavor: ``nova.objects.Flavor`` instance
:param image_meta: ``nova.objects.ImageMeta`` instance
:raises: exception.ImageNUMATopologyForbidden if both image metadata and
flavor extra specs are defined
:raises: exception.InvalidNUMANodesNumber if the number of NUMA
nodes is less than 1 or not an integer
:returns: The number of NUMA nodes requested in either the flavor or image,
else None.
"""
flavor_nodes, image_nodes = _get_flavor_image_meta(
'numa_nodes', flavor, image_meta)
if flavor_nodes and image_nodes:
raise exception.ImageNUMATopologyForbidden(name='hw_numa_nodes')
nodes = flavor_nodes or image_nodes
if nodes is not None and (not strutils.is_int_like(nodes) or
int(nodes) < 1):
raise exception.InvalidNUMANodesNumber(nodes=nodes)
return int(nodes) if nodes else nodes
# NOTE(stephenfin): This must be public as it's used elsewhere
def get_cpu_policy_constraint(flavor, image_meta):
# type: (objects.Flavor, objects.ImageMeta) -> Optional[str]
"""Validate and return the requested CPU policy.
:param flavor: ``nova.objects.Flavor`` instance
:param image_meta: ``nova.objects.ImageMeta`` instance
:raises: exception.ImageCPUPinningForbidden if policy is defined on both
image and flavor and these policies conflict.
:raises: exception.InvalidCPUAllocationPolicy if policy is defined with
invalid value in image or flavor.
:returns: The CPU policy requested.
"""
flavor_policy, image_policy = _get_flavor_image_meta(
'cpu_policy', flavor, image_meta)
if flavor_policy and (flavor_policy not in fields.CPUAllocationPolicy.ALL):
raise exception.InvalidCPUAllocationPolicy(
source='flavor extra specs',
requested=flavor_policy,
available=str(fields.CPUAllocationPolicy.ALL))
if image_policy and (image_policy not in fields.CPUAllocationPolicy.ALL):
raise exception.InvalidCPUAllocationPolicy(
source='image properties',
requested=image_policy,
available=str(fields.CPUAllocationPolicy.ALL))
if flavor_policy == fields.CPUAllocationPolicy.DEDICATED:
cpu_policy = flavor_policy
elif flavor_policy == fields.CPUAllocationPolicy.SHARED:
if image_policy == fields.CPUAllocationPolicy.DEDICATED:
raise exception.ImageCPUPinningForbidden()
cpu_policy = flavor_policy
elif image_policy == fields.CPUAllocationPolicy.DEDICATED:
cpu_policy = image_policy
else:
cpu_policy = None
return cpu_policy
# NOTE(stephenfin): This must be public as it's used elsewhere
def get_cpu_thread_policy_constraint(flavor, image_meta):
# type: (objects.Flavor, objects.ImageMeta) -> Optional[str]
"""Validate and return the requested CPU thread policy.
:param flavor: ``nova.objects.Flavor`` instance
:param image_meta: ``nova.objects.ImageMeta`` instance
:raises: exception.ImageCPUThreadPolicyForbidden if policy is defined on
both image and flavor and these policies conflict.
:raises: exception.InvalidCPUThreadAllocationPolicy if policy is defined
with invalid value in image or flavor.
:returns: The CPU thread policy requested.
"""
flavor_policy, image_policy = _get_flavor_image_meta(
'cpu_thread_policy', flavor, image_meta)
if flavor_policy and (
flavor_policy not in fields.CPUThreadAllocationPolicy.ALL):
raise exception.InvalidCPUThreadAllocationPolicy(
source='flavor extra specs',
requested=flavor_policy,
available=str(fields.CPUThreadAllocationPolicy.ALL))
if image_policy and (
image_policy not in fields.CPUThreadAllocationPolicy.ALL):
raise exception.InvalidCPUThreadAllocationPolicy(
source='image properties',
requested=image_policy,
available=str(fields.CPUThreadAllocationPolicy.ALL))
if flavor_policy in [None, fields.CPUThreadAllocationPolicy.PREFER]:
policy = flavor_policy or image_policy
elif image_policy and image_policy != flavor_policy:
raise exception.ImageCPUThreadPolicyForbidden()
else:
policy = flavor_policy
return policy
def _get_numa_topology_auto(nodes, flavor):
if ((flavor.vcpus % nodes) > 0 or
(flavor.memory_mb % nodes) > 0):
raise exception.ImageNUMATopologyAsymmetric()
cells = []
for node in range(nodes):
ncpus = int(flavor.vcpus / nodes)
mem = int(flavor.memory_mb / nodes)
start = node * ncpus
cpuset = set(range(start, start + ncpus))
cells.append(objects.InstanceNUMACell(
id=node, cpuset=cpuset, memory=mem))
return objects.InstanceNUMATopology(cells=cells)
def _get_numa_topology_manual(nodes, flavor, cpu_list, mem_list):
cells = []
totalmem = 0
availcpus = set(range(flavor.vcpus))
for node in range(nodes):
mem = mem_list[node]
cpuset = cpu_list[node]
for cpu in cpuset:
if cpu > (flavor.vcpus - 1):
raise exception.ImageNUMATopologyCPUOutOfRange(
cpunum=cpu, cpumax=(flavor.vcpus - 1))
if cpu not in availcpus:
raise exception.ImageNUMATopologyCPUDuplicates(
cpunum=cpu)
availcpus.remove(cpu)
cells.append(objects.InstanceNUMACell(
id=node, cpuset=cpuset, memory=mem))
totalmem = totalmem + mem
if availcpus:
raise exception.ImageNUMATopologyCPUsUnassigned(
cpuset=str(availcpus))
if totalmem != flavor.memory_mb:
raise exception.ImageNUMATopologyMemoryOutOfRange(
memsize=totalmem,
memtotal=flavor.memory_mb)
return objects.InstanceNUMATopology(cells=cells)
def is_realtime_enabled(flavor):
flavor_rt = flavor.get('extra_specs', {}).get("hw:cpu_realtime")
return strutils.bool_from_string(flavor_rt)
def _get_vcpu_pcpu_resources(flavor):
# type: (objects.Flavor) -> Tuple[bool, bool]
requested_vcpu = 0
requested_pcpu = 0
for key, val in flavor.get('extra_specs', {}).items():
if re.match('resources([1-9][0-9]*)?:%s' % orc.VCPU, key):
try:
requested_vcpu += int(val)
except ValueError:
# this is handled elsewhere
pass
if re.match('resources([1-9][0-9]*)?:%s' % orc.PCPU, key):
try:
requested_pcpu += int(val)
except ValueError:
# this is handled elsewhere
pass
return (requested_vcpu, requested_pcpu)
def _get_hyperthreading_trait(flavor, image_meta):
# type: (objects.Flavor, objects.ImageMeta) -> Optional[str]
for key, val in flavor.get('extra_specs', {}).items():
if re.match('trait([1-9][0-9]*)?:%s' % os_traits.HW_CPU_HYPERTHREADING,
key):
return val
if os_traits.HW_CPU_HYPERTHREADING in image_meta.properties.get(
'traits_required', []):
return 'required'
def _get_realtime_constraint(flavor, image_meta):
# type: (objects.Flavor, objects.ImageMeta) -> Optional[str]
"""Validate and return the requested realtime CPU mask.
:param flavor: ``nova.objects.Flavor`` instance
:param image_meta: ``nova.objects.ImageMeta`` instance
:returns: The realtime CPU mask requested, else None.
"""
flavor_mask, image_mask = _get_flavor_image_meta(
'cpu_realtime_mask', flavor, image_meta)
# Image masks are used ahead of flavor masks as they will have more
# specific requirements
return image_mask or flavor_mask
def vcpus_realtime_topology(flavor, image_meta):
# type: (objects.Flavor, objects.ImageMeta) -> List[int]
"""Determines instance vCPUs used as RT for a given spec.
:param flavor: ``nova.objects.Flavor`` instance
:param image_meta: ``nova.objects.ImageMeta`` instance
:raises: exception.RealtimeMaskNotFoundOrInvalid if mask was not found or
is invalid.
:returns: The realtime CPU mask requested, else None.
"""
mask = _get_realtime_constraint(flavor, image_meta)
if not mask:
raise exception.RealtimeMaskNotFoundOrInvalid()
vcpus_rt = parse_cpu_spec("0-%d,%s" % (flavor.vcpus - 1, mask))
if len(vcpus_rt) < 1:
raise exception.RealtimeMaskNotFoundOrInvalid()
return vcpus_rt
# NOTE(stephenfin): This must be public as it's used elsewhere
def get_emulator_thread_policy_constraint(flavor):
# type: (objects.Flavor) -> Optional[str]
"""Validate and return the requested emulator threads policy.
:param flavor: ``nova.objects.Flavor`` instance
:raises: exception.InvalidEmulatorThreadsPolicy if mask was not found or
is invalid.
:returns: The emulator thread policy requested, else None.
"""
emu_threads_policy = flavor.get('extra_specs', {}).get(
'hw:emulator_threads_policy')
if not emu_threads_policy:
return
if emu_threads_policy not in fields.CPUEmulatorThreadsPolicy.ALL:
raise exception.InvalidEmulatorThreadsPolicy(
requested=emu_threads_policy,
available=str(fields.CPUEmulatorThreadsPolicy.ALL))
return emu_threads_policy
def get_pci_numa_policy_constraint(flavor, image_meta):
"""Return pci numa affinity policy or None.
:param flavor: a flavor object to read extra specs from
:param image_meta: nova.objects.ImageMeta object instance
:raises: nova.exception.ImagePCINUMAPolicyForbidden
:raises: nova.exception.InvalidPCINUMAAffinity
"""
flavor_policy, image_policy = _get_flavor_image_meta(
'pci_numa_affinity_policy', flavor, image_meta)
if flavor_policy and image_policy and flavor_policy != image_policy:
raise exception.ImagePCINUMAPolicyForbidden()
policy = flavor_policy or image_policy
if policy and policy not in fields.PCINUMAAffinityPolicy.ALL:
raise exception.InvalidPCINUMAAffinity(policy=policy)
return policy
# TODO(sahid): Move numa related to hardware/numa.py
def numa_get_constraints(flavor, image_meta):
"""Return topology related to input request.
:param flavor: a flavor object to read extra specs from
:param image_meta: nova.objects.ImageMeta object instance
:raises: exception.InvalidNUMANodesNumber if the number of NUMA
nodes is less than 1 or not an integer
:raises: exception.ImageNUMATopologyForbidden if an attempt is made
to override flavor settings with image properties
:raises: exception.MemoryPageSizeInvalid if flavor extra spec or
image metadata provides an invalid hugepage value
:raises: exception.MemoryPageSizeForbidden if flavor extra spec
request conflicts with image metadata request
:raises: exception.ImageNUMATopologyIncomplete if the image
properties are not correctly specified
:raises: exception.ImageNUMATopologyAsymmetric if the number of
NUMA nodes is not a factor of the requested total CPUs or
memory
:raises: exception.ImageNUMATopologyCPUOutOfRange if an instance
CPU given in a NUMA mapping is not valid
:raises: exception.ImageNUMATopologyCPUDuplicates if an instance
CPU is specified in CPU mappings for two NUMA nodes
:raises: exception.ImageNUMATopologyCPUsUnassigned if an instance
CPU given in a NUMA mapping is not assigned to any NUMA node
:raises: exception.ImageNUMATopologyMemoryOutOfRange if sum of memory from
each NUMA node is not equal with total requested memory
:raises: exception.ImageCPUPinningForbidden if a CPU policy
specified in a flavor conflicts with one defined in image
metadata
:raises: exception.RealtimeConfigurationInvalid if realtime is
requested but dedicated CPU policy is not also requested
:raises: exception.RealtimeMaskNotFoundOrInvalid if realtime is
requested but no mask provided
:raises: exception.CPUThreadPolicyConfigurationInvalid if a CPU thread
policy conflicts with CPU allocation policy
:raises: exception.ImageCPUThreadPolicyForbidden if a CPU thread policy
specified in a flavor conflicts with one defined in image metadata
:raises: exception.BadRequirementEmulatorThreadsPolicy if CPU emulator
threads policy conflicts with CPU allocation policy
:raises: exception.InvalidCPUAllocationPolicy if policy is defined with
invalid value in image or flavor.
:raises: exception.InvalidCPUThreadAllocationPolicy if policy is defined
with invalid value in image or flavor.
:raises: exception.InvalidRequest if there is a conflict between explicitly
and implicitly requested resources of hyperthreading traits
:returns: objects.InstanceNUMATopology, or None
"""
numa_topology = None
nodes = _get_numa_node_count_constraint(flavor, image_meta)
pagesize = _get_numa_pagesize_constraint(flavor, image_meta)
vpmems = get_vpmems(flavor)
if nodes or pagesize or vpmems:
nodes = nodes or 1
cpu_list = _get_numa_cpu_constraint(flavor, image_meta)
mem_list = _get_numa_mem_constraint(flavor, image_meta)
# If one property list is specified both must be
if ((cpu_list is None and mem_list is not None) or
(cpu_list is not None and mem_list is None)):
raise exception.ImageNUMATopologyIncomplete()
# If any node has data set, all nodes must have data set
if ((cpu_list is not None and len(cpu_list) != nodes) or
(mem_list is not None and len(mem_list) != nodes)):
raise exception.ImageNUMATopologyIncomplete()
if cpu_list is None:
numa_topology = _get_numa_topology_auto(
nodes, flavor)
else:
numa_topology = _get_numa_topology_manual(
nodes, flavor, cpu_list, mem_list)
# We currently support same pagesize for all cells.
for c in numa_topology.cells:
setattr(c, 'pagesize', pagesize)
cpu_policy = get_cpu_policy_constraint(flavor, image_meta)
cpu_thread_policy = get_cpu_thread_policy_constraint(flavor, image_meta)
rt_mask = _get_realtime_constraint(flavor, image_meta)
emu_threads_policy = get_emulator_thread_policy_constraint(flavor)
# handle explicit VCPU/PCPU resource requests and the HW_CPU_HYPERTHREADING
# trait
requested_vcpus, requested_pcpus = _get_vcpu_pcpu_resources(flavor)
if cpu_policy and (requested_vcpus or requested_pcpus):
# TODO(stephenfin): Make these custom exceptions
raise exception.InvalidRequest(
"It is not possible to use the 'resources:VCPU' or "
"'resources:PCPU' extra specs in combination with the "
"'hw:cpu_policy' extra spec or 'hw_cpu_policy' image metadata "
"property; use one or the other")
if requested_vcpus and requested_pcpus:
raise exception.InvalidRequest(
"It is not possible to specify both 'resources:VCPU' and "
"'resources:PCPU' extra specs; use one or the other")
if requested_pcpus:
if (emu_threads_policy == fields.CPUEmulatorThreadsPolicy.ISOLATE and
flavor.vcpus + 1 != requested_pcpus):
raise exception.InvalidRequest(
"You have requested 'hw:emulator_threads_policy=isolate' but "
"have not requested sufficient PCPUs to handle this policy; "
"you must allocate exactly flavor.vcpus + 1 PCPUs.")
if (emu_threads_policy != fields.CPUEmulatorThreadsPolicy.ISOLATE and
flavor.vcpus != requested_pcpus):
raise exception.InvalidRequest(
"There is a mismatch between the number of PCPUs requested "
"via 'resourcesNN:PCPU' and the flavor); you must allocate "
"exactly flavor.vcpus PCPUs")
cpu_policy = fields.CPUAllocationPolicy.DEDICATED
if requested_vcpus:
# NOTE(stephenfin): It would be nice if we could error out if
# flavor.vcpus != resources:PCPU, but that would be a breaking change.
# Better to wait until we remove flavor.vcpus or something
cpu_policy = fields.CPUAllocationPolicy.SHARED
hyperthreading_trait = _get_hyperthreading_trait(flavor, image_meta)
if cpu_thread_policy and hyperthreading_trait:
raise exception.InvalidRequest(
"It is not possible to use the 'trait:HW_CPU_HYPERTHREADING' "
"extra spec in combination with the 'hw:cpu_thread_policy' "
"extra spec or 'hw_cpu_thread_policy' image metadata property; "
"use one or the other")
if hyperthreading_trait == 'forbidden':
cpu_thread_policy = fields.CPUThreadAllocationPolicy.ISOLATE
elif hyperthreading_trait == 'required':
cpu_thread_policy = fields.CPUThreadAllocationPolicy.REQUIRE
# sanity checks
if cpu_policy in (fields.CPUAllocationPolicy.SHARED, None):
if cpu_thread_policy:
raise exception.CPUThreadPolicyConfigurationInvalid()
if emu_threads_policy == fields.CPUEmulatorThreadsPolicy.ISOLATE:
raise exception.BadRequirementEmulatorThreadsPolicy()
if is_realtime_enabled(flavor):
raise exception.RealtimeConfigurationInvalid()
return numa_topology
if is_realtime_enabled(flavor) and not rt_mask:
raise exception.RealtimeMaskNotFoundOrInvalid()
if numa_topology:
for cell in numa_topology.cells:
cell.cpu_policy = cpu_policy
cell.cpu_thread_policy = cpu_thread_policy
else:
single_cell = objects.InstanceNUMACell(
id=0,
cpuset=set(range(flavor.vcpus)),
memory=flavor.memory_mb,
cpu_policy=cpu_policy,
cpu_thread_policy=cpu_thread_policy)
numa_topology = objects.InstanceNUMATopology(cells=[single_cell])
if emu_threads_policy:
numa_topology.emulator_threads_policy = emu_threads_policy
return numa_topology
def _numa_cells_support_network_metadata(
host_topology, # type: objects.NUMATopology
chosen_host_cells, # type: List[objects.NUMACell]
network_metadata # type: objects.NetworkMetadata
):
# type: (...) -> bool
"""Determine whether the cells can accept the network requests.
:param host_topology: The entire host topology, used to find non-chosen
host cells.
:param chosen_host_cells: List of NUMACells to extract possible network
NUMA affinity from.
:param network_metadata: The combined summary of physnets and tunneled
networks required by this topology or None.
:return: True if any NUMA affinity constraints for requested networks can
be satisfied, else False
"""
if not network_metadata:
return True
required_physnets = None # type: Set[str]
if 'physnets' in network_metadata:
# use set() to avoid modifying the original data structure
required_physnets = set(network_metadata.physnets)
required_tunnel = False # type: bool
if 'tunneled' in network_metadata:
required_tunnel = network_metadata.tunneled
if required_physnets:
# identify requested physnets that have an affinity to any of our
# chosen host NUMA cells
for host_cell in chosen_host_cells:
if 'network_metadata' not in host_cell:
continue
# if one of these cells provides affinity for one or more physnets,
# drop said physnet(s) from the list we're searching for
required_physnets -= required_physnets.intersection(
host_cell.network_metadata.physnets)
# however, if we still require some level of NUMA affinity, we need
# to make sure one of the other NUMA cells isn't providing that; note
# that NUMA affinity might not be provided for all physnets so we are
# in effect skipping these
for host_cell in host_topology.cells:
if 'network_metadata' not in host_cell:
continue
# if one of these cells provides affinity for one or more physnets,
# we need to fail because we should be using that node and are not
if required_physnets.intersection(
host_cell.network_metadata.physnets):
return False
if required_tunnel:
# identify if tunneled networks have an affinity to any of our chosen
# host NUMA cells
for host_cell in chosen_host_cells:
if 'network_metadata' not in host_cell:
continue
if host_cell.network_metadata.tunneled:
return True
# however, if we still require some level of NUMA affinity, we need to
# make sure one of the other NUMA cells isn't providing that; note
# that, as with physnets, NUMA affinity might not be defined for
# tunneled networks and we'll simply continue if this is the case
for host_cell in host_topology.cells:
if 'network_metadata' not in host_cell:
continue
if host_cell.network_metadata.tunneled:
return False
return True
def numa_fit_instance_to_host(
host_topology, instance_topology, limits=None,
pci_requests=None, pci_stats=None):
"""Fit the instance topology onto the host topology.
Given a host, instance topology, and (optional) limits, attempt to
fit instance cells onto all permutations of host cells by calling
the _fit_instance_cell method, and return a new InstanceNUMATopology
with its cell ids set to host cell ids of the first successful
permutation, or None.
:param host_topology: objects.NUMATopology object to fit an
instance on
:param instance_topology: objects.InstanceNUMATopology to be fitted
:param limits: objects.NUMATopologyLimits that defines limits
:param pci_requests: instance pci_requests
:param pci_stats: pci_stats for the host
:returns: objects.InstanceNUMATopology with its cell IDs set to host
cell ids of the first successful permutation, or None
"""
if not (host_topology and instance_topology):
LOG.debug("Require both a host and instance NUMA topology to "
"fit instance on host.")
return
elif len(host_topology) < len(instance_topology):
LOG.debug("There are not enough NUMA nodes on the system to schedule "
"the instance correctly. Required: %(required)s, actual: "
"%(actual)s",
{'required': len(instance_topology),
'actual': len(host_topology)})
return
emulator_threads_policy = None
if 'emulator_threads_policy' in instance_topology:
emulator_threads_policy = instance_topology.emulator_threads_policy
network_metadata = None
if limits and 'network_metadata' in limits:
network_metadata = limits.network_metadata
host_cells = host_topology.cells
# If PCI device(s) are not required, prefer host cells that don't have
# devices attached. Presence of a given numa_node in a PCI pool is
# indicative of a PCI device being associated with that node
if not pci_requests and pci_stats:
host_cells = sorted(host_cells, key=lambda cell: cell.id in [
pool['numa_node'] for pool in pci_stats.pools])
# TODO(ndipanov): We may want to sort permutations differently
# depending on whether we want packing/spreading over NUMA nodes
for host_cell_perm in itertools.permutations(
host_cells, len(instance_topology)):
chosen_instance_cells = []
chosen_host_cells = []
for host_cell, instance_cell in zip(
host_cell_perm, instance_topology.cells):
try:
cpuset_reserved = 0
if (instance_topology.emulator_threads_isolated and
len(chosen_instance_cells) == 0):
# For the case of isolate emulator threads, to
# make predictable where that CPU overhead is
# located we always configure it to be on host
# NUMA node associated to the guest NUMA node
# 0.
cpuset_reserved = 1
got_cell = _numa_fit_instance_cell(
host_cell, instance_cell, limits, cpuset_reserved)
except exception.MemoryPageSizeNotSupported:
# This exception will been raised if instance cell's
# custom pagesize is not supported with host cell in
# _numa_cell_supports_pagesize_request function.
break
if got_cell is None:
break
chosen_host_cells.append(host_cell)
chosen_instance_cells.append(got_cell)
if len(chosen_instance_cells) != len(host_cell_perm):
continue
if pci_requests and pci_stats and not pci_stats.support_requests(
pci_requests, chosen_instance_cells):
continue
if network_metadata and not _numa_cells_support_network_metadata(
host_topology, chosen_host_cells, network_metadata):
continue
return objects.InstanceNUMATopology(
cells=chosen_instance_cells,
emulator_threads_policy=emulator_threads_policy)
def numa_get_reserved_huge_pages():
"""Returns reserved memory pages from host option.
Based from the compute node option reserved_huge_pages, generate
a well formatted list of dict which can be used to build a valid
NUMATopology.
:raises: exception.InvalidReservedMemoryPagesOption when
reserved_huge_pages option is not correctly set.
:returns: a list of dict ordered by NUMA node ids; keys of dict
are pages size and values of the number reserved.
"""
if not CONF.reserved_huge_pages:
return {}
try:
bucket = collections.defaultdict(dict)
for cfg in CONF.reserved_huge_pages:
try:
pagesize = int(cfg['size'])
except ValueError:
pagesize = strutils.string_to_bytes(
cfg['size'], return_int=True) / units.Ki
bucket[int(cfg['node'])][pagesize] = int(cfg['count'])
except (ValueError, TypeError, KeyError):
raise exception.InvalidReservedMemoryPagesOption(
conf=CONF.reserved_huge_pages)
return bucket
def _get_smallest_pagesize(host_cell):
"""Returns the smallest available page size based on hostcell"""
avail_pagesize = [page.size_kb for page in host_cell.mempages]
avail_pagesize.sort()
return avail_pagesize[0]
def _numa_pagesize_usage_from_cell(host_cell, instance_cell, sign):
if 'pagesize' in instance_cell and instance_cell.pagesize:
pagesize = instance_cell.pagesize
else:
pagesize = _get_smallest_pagesize(host_cell)
topo = []
for pages in host_cell.mempages:
if pages.size_kb == pagesize:
topo.append(objects.NUMAPagesTopology(
size_kb=pages.size_kb,
total=pages.total,
used=max(0, pages.used +
instance_cell.memory * units.Ki /
pages.size_kb * sign),
reserved=pages.reserved if 'reserved' in pages else 0))
else:
topo.append(pages)
return topo
def numa_usage_from_instance_numa(host_topology, instance_topology,
free=False):
"""Update the host topology usage.
Update the host NUMA topology based on usage by the provided instance NUMA
topology.
:param host_topology: objects.NUMATopology to update usage information
:param instance_topology: objects.InstanceNUMATopology from which to
retrieve usage information.
:param free: If true, decrease, rather than increase, host usage based on
instance usage.
:returns: Updated objects.NUMATopology for host
"""
if not host_topology or not instance_topology:
return host_topology
cells = []
sign = -1 if free else 1
for host_cell in host_topology.cells:
memory_usage = host_cell.memory_usage
shared_cpus_usage = host_cell.cpu_usage
# The 'pcpuset' field is only set by newer compute nodes, so if it's
# not present then we've received this object from a pre-Train compute
# node and need to dual-report all CPUS listed therein as both
# dedicated and shared until the compute node has been upgraded and
# starts reporting things properly.
# TODO(stephenfin): Remove in U
if 'pcpuset' not in host_cell:
shared_cpus = host_cell.cpuset
dedicated_cpus = host_cell.cpuset
else:
shared_cpus = host_cell.cpuset
dedicated_cpus = host_cell.pcpuset
new_cell = objects.NUMACell(
id=host_cell.id,
cpuset=shared_cpus,
pcpuset=dedicated_cpus,
memory=host_cell.memory,
cpu_usage=0,
memory_usage=0,
mempages=host_cell.mempages,
pinned_cpus=host_cell.pinned_cpus,
siblings=host_cell.siblings)
if 'network_metadata' in host_cell:
new_cell.network_metadata = host_cell.network_metadata
for cellid, instance_cell in enumerate(instance_topology.cells):
if instance_cell.id != host_cell.id:
continue
new_cell.mempages = _numa_pagesize_usage_from_cell(
new_cell, instance_cell, sign)
memory_usage = memory_usage + sign * instance_cell.memory
if not instance_cell.cpu_pinning_requested:
shared_cpus_usage += sign * len(instance_cell.cpuset)
continue
pinned_cpus = set(instance_cell.cpu_pinning.values())
if instance_cell.cpuset_reserved:
pinned_cpus |= instance_cell.cpuset_reserved
if free:
if (instance_cell.cpu_thread_policy ==
fields.CPUThreadAllocationPolicy.ISOLATE):
new_cell.unpin_cpus_with_siblings(pinned_cpus)
else:
new_cell.unpin_cpus(pinned_cpus)
else:
if (instance_cell.cpu_thread_policy ==
fields.CPUThreadAllocationPolicy.ISOLATE):
new_cell.pin_cpus_with_siblings(pinned_cpus)
else:
new_cell.pin_cpus(pinned_cpus)
# NOTE(stephenfin): We don't need to set 'pinned_cpus' here since that
# was done in the above '(un)pin_cpus(_with_siblings)' functions
new_cell.memory_usage = max(0, memory_usage)
new_cell.cpu_usage = max(0, shared_cpus_usage)
cells.append(new_cell)
return objects.NUMATopology(cells=cells)
def get_vpmems(flavor):
"""Return vpmems related to input request.
:param flavor: a flavor object to read extra specs from
:returns: a vpmem label list
"""
vpmems_info = flavor.get('extra_specs', {}).get('hw:pmem')
if not vpmems_info:
return []
vpmem_labels = vpmems_info.split(',')
formed_labels = []
for label in vpmem_labels:
formed_label = label.strip()
if formed_label:
formed_labels.append(formed_label)
return formed_labels