aodh/ceilometer/agent.py
Nejc Saje fa3f4d6c5d Partition static resources defined in pipeline.yaml
Resources statically defined in pipeline.yaml are currently not
subject to workload partitioning, so we can't do HA. If we have
multiple agents running with the same pipeline.yaml, the samples
will be duplicated.

This patch partitions the static resources as well.

Closes-bug: #1369538
Change-Id: Iff3b33db58302fb2e89b1b3722937a031a70be5f
2014-09-29 06:16:34 +00:00

245 lines
9.5 KiB
Python

#
# Copyright 2013 Julien Danjou
# Copyright 2014 Red Hat, Inc
#
# Authors: Julien Danjou <julien@danjou.info>
# Eoghan Glynn <eglynn@redhat.com>
# Nejc Saje <nsaje@redhat.com>
#
# 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 itertools
from oslo.config import cfg
import six
from six.moves.urllib import parse as urlparse
from stevedore import extension
from ceilometer import coordination
from ceilometer.openstack.common import context
from ceilometer.openstack.common.gettextutils import _
from ceilometer.openstack.common import log
from ceilometer.openstack.common import service as os_service
from ceilometer import pipeline as publish_pipeline
from ceilometer import utils
LOG = log.getLogger(__name__)
cfg.CONF.import_opt('heartbeat', 'ceilometer.coordination',
group='coordination')
class Resources(object):
def __init__(self, agent_manager):
self.agent_manager = agent_manager
self._resources = []
self._discovery = []
def setup(self, pipeline):
self._resources = pipeline.resources
self._discovery = pipeline.discovery
def get(self, discovery_cache=None):
source_discovery = (self.agent_manager.discover(self._discovery,
discovery_cache)
if self._discovery else [])
static_resources = []
if self._resources:
static_resources_group = self.agent_manager.construct_group_id(
utils.hash_of_set(self._resources))
p_coord = self.agent_manager.partition_coordinator
static_resources = p_coord.extract_my_subset(
static_resources_group, self._resources)
return static_resources + source_discovery
@staticmethod
def key(source, pollster):
return '%s-%s' % (source.name, pollster.name)
class PollingTask(object):
"""Polling task for polling samples and inject into pipeline.
A polling task can be invoked periodically or only once.
"""
def __init__(self, agent_manager):
self.manager = agent_manager
# elements of the Cartesian product of sources X pollsters
# with a common interval
self.pollster_matches = set()
# per-sink publisher contexts associated with each source
self.publishers = {}
# we relate the static resources and per-source discovery to
# each combination of pollster and matching source
resource_factory = lambda: Resources(agent_manager)
self.resources = collections.defaultdict(resource_factory)
def add(self, pollster, pipeline):
if pipeline.source.name not in self.publishers:
publish_context = publish_pipeline.PublishContext(
self.manager.context)
self.publishers[pipeline.source.name] = publish_context
self.publishers[pipeline.source.name].add_pipelines([pipeline])
self.pollster_matches.update([(pipeline.source, pollster)])
key = Resources.key(pipeline.source, pollster)
self.resources[key].setup(pipeline)
def poll_and_publish(self):
"""Polling sample and publish into pipeline."""
agent_resources = self.manager.discover()
cache = {}
discovery_cache = {}
for source, pollster in self.pollster_matches:
LOG.info(_("Polling pollster %(poll)s in the context of %(src)s"),
dict(poll=pollster.name, src=source))
pollster_resources = None
if pollster.obj.default_discovery:
pollster_resources = self.manager.discover(
[pollster.obj.default_discovery], discovery_cache)
key = Resources.key(source, pollster)
source_resources = list(self.resources[key].get(discovery_cache))
with self.publishers[source.name] as publisher:
try:
samples = list(pollster.obj.get_samples(
manager=self.manager,
cache=cache,
resources=(source_resources or
pollster_resources or
agent_resources)
))
publisher(samples)
except Exception as err:
LOG.warning(_(
'Continue after error from %(name)s: %(error)s')
% ({'name': pollster.name, 'error': err}),
exc_info=True)
class AgentManager(os_service.Service):
def __init__(self, namespace, default_discovery=None, group_prefix=None):
super(AgentManager, self).__init__()
default_discovery = default_discovery or []
self.default_discovery = default_discovery
self.pollster_manager = self._extensions('poll', namespace)
self.discovery_manager = self._extensions('discover')
self.context = context.RequestContext('admin', 'admin', is_admin=True)
self.partition_coordinator = coordination.PartitionCoordinator()
self.group_prefix = ('%s-%s' % (namespace, group_prefix)
if group_prefix else namespace)
@staticmethod
def _extensions(category, agent_ns=None):
namespace = ('ceilometer.%s.%s' % (category, agent_ns) if agent_ns
else 'ceilometer.%s' % category)
return extension.ExtensionManager(
namespace=namespace,
invoke_on_load=True,
)
def join_partitioning_groups(self):
groups = set([self.construct_group_id(d.obj.group_id)
for d in self.discovery_manager])
# let each set of statically-defined resources have its own group
static_resource_groups = set([
self.construct_group_id(utils.hash_of_set(p.resources))
for p in self.pipeline_manager.pipelines
if p.resources
])
groups.update(static_resource_groups)
for group in groups:
self.partition_coordinator.join_group(group)
def create_polling_task(self):
"""Create an initially empty polling task."""
return PollingTask(self)
def setup_polling_tasks(self):
polling_tasks = {}
for pipeline, pollster in itertools.product(
self.pipeline_manager.pipelines,
self.pollster_manager.extensions):
if pipeline.support_meter(pollster.name):
polling_task = polling_tasks.get(pipeline.get_interval())
if not polling_task:
polling_task = self.create_polling_task()
polling_tasks[pipeline.get_interval()] = polling_task
polling_task.add(pollster, pipeline)
return polling_tasks
def construct_group_id(self, discovery_group_id):
return ('%s-%s' % (self.group_prefix,
discovery_group_id)
if discovery_group_id else None)
def start(self):
self.pipeline_manager = publish_pipeline.setup_pipeline()
self.partition_coordinator.start()
self.join_partitioning_groups()
# allow time for coordination if necessary
delay_start = self.partition_coordinator.is_active()
for interval, task in six.iteritems(self.setup_polling_tasks()):
self.tg.add_timer(interval,
self.interval_task,
initial_delay=interval if delay_start else None,
task=task)
self.tg.add_timer(cfg.CONF.coordination.heartbeat,
self.partition_coordinator.heartbeat)
@staticmethod
def interval_task(task):
task.poll_and_publish()
@staticmethod
def _parse_discoverer(url):
s = urlparse.urlparse(url)
return (s.scheme or s.path), (s.netloc + s.path if s.scheme else None)
def _discoverer(self, name):
for d in self.discovery_manager:
if d.name == name:
return d.obj
return None
def discover(self, discovery=None, discovery_cache=None):
resources = []
for url in (discovery or self.default_discovery):
if discovery_cache is not None and url in discovery_cache:
resources.extend(discovery_cache[url])
continue
name, param = self._parse_discoverer(url)
discoverer = self._discoverer(name)
if discoverer:
try:
discovered = discoverer.discover(self, param)
partitioned = self.partition_coordinator.extract_my_subset(
self.construct_group_id(discoverer.group_id),
discovered)
resources.extend(partitioned)
if discovery_cache is not None:
discovery_cache[url] = partitioned
except Exception as err:
LOG.exception(_('Unable to discover resources: %s') % err)
else:
LOG.warning(_('Unknown discovery extension: %s') % name)
return resources