我尝试了一种变通方法来获取实例的内存利用率，步骤如下。
（1）在/ceilometer/compute/pollsters/instance_stats.py文件中添加如下代码。
class MemoryUtilPollster(InstanceStatsPollster):
sample_name = 'memory_util'
sample_unit = '%'
sample_stats_key = 'memory_util'
（2）修改/ceilometer/compute/virt/libvirt/inspector.py文件中计算实例内存使用的逻辑代码
class LibvirtInspector(virt_inspector.Inspector):
def inspect_instance(self, instance, duration=None):
domain = self._get_domain_not_shut_off_or_raise(instance)
memory_used = memory_resident = None
memory_swap_in = memory_swap_out = None
memory_stats = domain.memoryStats()
# Stat provided from libvirt is in KB, converting it to MB.
if 'usable' in memory_stats and 'available' in memory_stats:
memory_used = (memory_stats['available'] -
memory_stats['usable']) / units.Ki
elif 'available' in memory_stats and 'unused' in memory_stats:
memory_used = (memory_stats['available'] -
memory_stats['unused']) / units.Ki
if 'rss' in memory_stats:
memory_resident = memory_stats['rss'] / units.Ki
if 'swap_in' in memory_stats and 'swap_out' in memory_stats:
memory_swap_in = memory_stats['swap_in'] / units.Ki
memory_swap_out = memory_stats['swap_out'] / units.Ki
# Tristack: add memory_util
memory_total = memory_stats['available'] / units.Ki
memory_util = int(100 * memory_used / memory_total)
# TODO(sileht): stats also have the disk/vnic info
# we could use that instead of the old method for Queen
stats = self.connection.domainListGetStats([domain], 0)[0][1]
cpu_time = 0
current_cpus = stats.get('vcpu.current')
# Iterate over the maximum number of CPUs here, and count the
# actual number encountered, since the vcpu.x structure can
# have holes according to
# https://libvirt.org/git/?p=libvirt.git;a=blob;f=src/libvirt-domain.c
# virConnectGetAllDomainStats()
for vcpu in six.moves.range(stats.get('vcpu.maximum', 0)):
try:
cpu_time += (stats.get('vcpu.%s.time' % vcpu) +
stats.get('vcpu.%s.wait' % vcpu))
current_cpus -= 1
except TypeError:
# pass here, if there are too many holes, the cpu count will
# not match, so don't need special error handling.
pass
if current_cpus:
# There wasn't enough data, so fall back
cpu_time = stats.get('cpu.time')
return virt_inspector.InstanceStats(
cpu_number=stats.get('vcpu.current'),
cpu_time=cpu_time,
# Tristack: add memory_util
memory_util=memory_util,
memory_usage=memory_used,
memory_resident=memory_resident,
memory_swap_in=memory_swap_in,
memory_swap_out=memory_swap_out,
cpu_cycles=stats.get("perf.cpu_cycles"),
instructions=stats.get("perf.instructions"),
cache_references=stats.get("perf.cache_references"),
cache_misses=stats.get("perf.cache_misses"),
memory_bandwidth_total=stats.get("perf.mbmt"),
memory_bandwidth_local=stats.get("perf.mbml"),
cpu_l3_cache_usage=stats.get("perf.cmt"),
)
（3）在/ceilometer/compute/virt/inspector.py文件中添加InstanceStats对象的memory_util属性
class InstanceStats(object):
fields = [
'cpu_number', # number: number of CPUs
'cpu_time', # time: cumulative CPU time
'cpu_util', # util: CPU utilization in percentage
'cpu_l3_cache_usage', # cachesize: Amount of CPU L3 cache used
'memory_util', # Tristack: add memory_util
'memory_usage', # usage: Amount of memory used
'memory_resident', #
'memory_swap_in', # memory swap in
'memory_swap_out', # memory swap out
'memory_bandwidth_total', # total: total system bandwidth from one
# level of cache
'memory_bandwidth_local', # local: bandwidth of memory traffic for a
# memory controller
'cpu_cycles', # cpu_cycles: the number of cpu cycles one
# instruction needs
'instructions', # instructions: the count of instructions
'cache_references', # cache_references: the count of cache hits
'cache_misses', # cache_misses: the count of caches misses
]
def __init__(self, **kwargs):
for k in self.fields:
setattr(self, k, kwargs.pop(k, None))
if kwargs:
raise AttributeError(
"'InstanceStats' object has no attributes '%s'" % kwargs)
（4）在setup.cfg文件中添加ceilometer.poll.compute下的memory_util插件
ceilometer.poll.compute =
memory_util = ceilometer.compute.pollsters.instance_stats:MemoryUtilPollster
（5）打包编译安装ceilometer，打包编译过程参考链接如下。openstack-ceilometer-11.0.1-1.el7.src.rpm 可以在这里找到
# groupadd mockbuild
# useradd mockbuild -g mockbuild
# rpm -ivh openstack-ceilometer-11.0.1-1.el7.src.rpm
After the installation is complete, the rpm build project is automatically deployed in
/root/rpmbuild/SPECS
/root/rpmbuild/SOURCES
cd /root/rpmbuild/SPECS
rpmbuild -bb openstack-ceilometer.spec
The ceilometer rpm package is in the /root/rpmbuild/RPMS directory, install these packages.
（6）在/etc/ceilometer/gnocchi_resources.yaml文件中添加如下配置。
resources:
- resource_type: instance
# Tristack: add memory_util
memory_util:
（7）在/etc/ceilometer/polling.yaml文件中添加如下配置。
sources:
- name: some_pollsters
interval: 300
meters:
# Tristack: add memory_util
- memory_util
（8）在/etc/ceilometer/pipeline.yaml文件中添加如下配置。
sources:
# Tristack: add memory_util
- name: memory_util_source
meters:
- "memory_util"
sinks:
- memory_util_sink
sinks:
# Tristack: add memory_util
- name: memory_util_sink
publishers:
- gnocchi://?filter_project=service&archive_policy=ceilometer-low
（9）最后重启openstack-ceilometer-compute服务
