Merge "Adapt workload_stabilization strategy to new datasource backend"

This commit is contained in:
Zuul
2018-01-23 01:08:32 +00:00
committed by Gerrit Code Review
7 changed files with 34 additions and 139 deletions

View File

@@ -28,7 +28,6 @@ It assumes that live migrations are possible in your cluster.
"""
import copy
import datetime
import itertools
import math
import random
@@ -41,8 +40,6 @@ import oslo_utils
from watcher._i18n import _
from watcher.common import exception
from watcher.datasource import ceilometer as ceil
from watcher.datasource import gnocchi as gnoc
from watcher.decision_engine.model import element
from watcher.decision_engine.strategy.strategies import base
@@ -73,9 +70,6 @@ class WorkloadStabilization(base.WorkloadStabilizationBaseStrategy):
:param osc: :py:class:`~.OpenStackClients` instance
"""
super(WorkloadStabilization, self).__init__(config, osc)
self._ceilometer = None
self._gnocchi = None
self._nova = None
self.weights = None
self.metrics = None
self.thresholds = None
@@ -169,43 +163,16 @@ class WorkloadStabilization(base.WorkloadStabilizationBaseStrategy):
@classmethod
def get_config_opts(cls):
return [
cfg.StrOpt(
"datasource",
help="Data source to use in order to query the needed metrics",
default="gnocchi",
choices=["ceilometer", "gnocchi"])
cfg.ListOpt(
"datasources",
help="Datasources to use in order to query the needed metrics."
" If one of strategy metric isn't available in the first"
" datasource, the next datasource will be chosen.",
item_type=cfg.types.String(choices=['gnocchi', 'ceilometer',
'monasca']),
default=['gnocchi', 'ceilometer', 'monasca'])
]
@property
def ceilometer(self):
if self._ceilometer is None:
self.ceilometer = ceil.CeilometerHelper(osc=self.osc)
return self._ceilometer
@property
def nova(self):
if self._nova is None:
self.nova = self.osc.nova()
return self._nova
@nova.setter
def nova(self, n):
self._nova = n
@ceilometer.setter
def ceilometer(self, c):
self._ceilometer = c
@property
def gnocchi(self):
if self._gnocchi is None:
self.gnocchi = gnoc.GnocchiHelper(osc=self.osc)
return self._gnocchi
@gnocchi.setter
def gnocchi(self, gnocchi):
self._gnocchi = gnocchi
def transform_instance_cpu(self, instance_load, host_vcpus):
"""Transform instance cpu utilization to overall host cpu utilization.
@@ -227,26 +194,9 @@ class WorkloadStabilization(base.WorkloadStabilizationBaseStrategy):
LOG.debug('get_instance_load started')
instance_load = {'uuid': instance.uuid, 'vcpus': instance.vcpus}
for meter in self.metrics:
avg_meter = None
if self.config.datasource == "ceilometer":
avg_meter = self.ceilometer.statistic_aggregation(
resource_id=instance.uuid,
meter_name=meter,
period=self.periods['instance'],
aggregate='min'
)
elif self.config.datasource == "gnocchi":
stop_time = datetime.datetime.utcnow()
start_time = stop_time - datetime.timedelta(
seconds=int(self.periods['instance']))
avg_meter = self.gnocchi.statistic_aggregation(
resource_id=instance.uuid,
metric=meter,
granularity=self.granularity,
start_time=start_time,
stop_time=stop_time,
aggregation='mean'
)
avg_meter = self.datasource_backend.statistic_aggregation(
instance.uuid, meter, self.periods['instance'], 'mean',
granularity=self.granularity)
if avg_meter is None:
LOG.warning(
"No values returned by %(resource_id)s "
@@ -287,25 +237,9 @@ class WorkloadStabilization(base.WorkloadStabilizationBaseStrategy):
resource_id = "%s_%s" % (node.uuid, node.hostname)
else:
resource_id = node_id
if self.config.datasource == "ceilometer":
avg_meter = self.ceilometer.statistic_aggregation(
resource_id=resource_id,
meter_name=self.instance_metrics[metric],
period=self.periods['node'],
aggregate='avg'
)
elif self.config.datasource == "gnocchi":
stop_time = datetime.datetime.utcnow()
start_time = stop_time - datetime.timedelta(
seconds=int(self.periods['node']))
avg_meter = self.gnocchi.statistic_aggregation(
resource_id=resource_id,
metric=self.instance_metrics[metric],
granularity=self.granularity,
start_time=start_time,
stop_time=stop_time,
aggregation='mean'
)
avg_meter = self.datasource_backend.statistic_aggregation(
resource_id, self.instance_metrics[metric],
self.periods['node'], 'mean', granularity=self.granularity)
if avg_meter is None:
if meter_name == 'hardware.memory.used':