7533bc6ff6
This changes splits the internal DB API in two parts, alarm and metering. It also adds a new configuration options to set a different database for alarm than the 'metering' one. Example: [database] connection = mongodb://localhost/ceilometer alarm_connection = mysql://localhost/ceilometer This changes don't take care of the drivers storaged. They will be splitted in later changes The ceilometer.storage.ConnectionProxy object ensure that only alarm methods are available when the namespace is the alarm one, same for the metering namespace. Partial implements blueprint dedicated-alarm-database Change-Id: I1e118e4adc59ca5cd3781dbb18865818c3cc2300
325 lines
11 KiB
Python
325 lines
11 KiB
Python
#
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# Copyright 2012 New Dream Network, LLC (DreamHost)
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#
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# Author: Doug Hellmann <doug.hellmann@dreamhost.com>
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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"""Base classes for storage engines
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"""
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import datetime
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import inspect
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import math
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from six import moves
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from ceilometer.openstack.common import timeutils
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def iter_period(start, end, period):
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"""Split a time from start to end in periods of a number of seconds.
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This function yields the (start, end) time for each period composing the
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time passed as argument.
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:param start: When the period set start.
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:param end: When the period end starts.
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:param period: The duration of the period.
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"""
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period_start = start
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increment = datetime.timedelta(seconds=period)
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for i in moves.xrange(int(math.ceil(
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timeutils.delta_seconds(start, end)
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/ float(period)))):
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next_start = period_start + increment
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yield (period_start, next_start)
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period_start = next_start
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def _handle_sort_key(model_name, sort_key=None):
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"""Generate sort keys according to the passed in sort key from user.
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:param model_name: Database model name be query.(alarm, meter, etc.)
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:param sort_key: sort key passed from user.
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return: sort keys list
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"""
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sort_keys_extra = {'alarm': ['name', 'user_id', 'project_id'],
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'meter': ['user_id', 'project_id'],
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'resource': ['user_id', 'project_id', 'timestamp'],
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}
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sort_keys = sort_keys_extra[model_name]
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if not sort_key:
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return sort_keys
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# NOTE(Fengqian): We need to put the sort key from user
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# in the first place of sort keys list.
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try:
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sort_keys.remove(sort_key)
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except ValueError:
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pass
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finally:
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sort_keys.insert(0, sort_key)
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return sort_keys
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class MultipleResultsFound(Exception):
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pass
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class NoResultFound(Exception):
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pass
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class Pagination(object):
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"""Class for pagination query."""
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def __init__(self, limit=None, primary_sort_dir='desc', sort_keys=None,
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sort_dirs=None, marker_value=None):
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"""This puts all parameters used for paginate query together.
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:param limit: Maximum number of items to return;
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:param primary_sort_dir: Sort direction of primary key.
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:param marker_value: Value of primary key to identify the last item of
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the previous page.
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:param sort_keys: Array of attributes passed in by users to sort the
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results besides the primary key.
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:param sort_dirs: Per-column array of sort_dirs, corresponding to
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sort_keys.
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"""
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self.limit = limit
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self.primary_sort_dir = primary_sort_dir
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self.marker_value = marker_value
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self.sort_keys = sort_keys or []
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self.sort_dirs = sort_dirs or []
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class Model(object):
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"""Base class for storage API models."""
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def __init__(self, **kwds):
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self.fields = list(kwds)
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for k, v in kwds.iteritems():
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setattr(self, k, v)
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def as_dict(self):
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d = {}
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for f in self.fields:
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v = getattr(self, f)
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if isinstance(v, Model):
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v = v.as_dict()
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elif isinstance(v, list) and v and isinstance(v[0], Model):
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v = [sub.as_dict() for sub in v]
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d[f] = v
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return d
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def __eq__(self, other):
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return self.as_dict() == other.as_dict()
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@classmethod
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def get_field_names(cls):
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fields = inspect.getargspec(cls.__init__)[0]
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return set(fields) - set(["self"])
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class Connection(object):
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"""Base class for storage system connections."""
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"""A dictionary representing the capabilities of this driver.
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"""
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CAPABILITIES = {
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'meters': {'pagination': False,
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'query': {'simple': False,
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'metadata': False,
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'complex': False}},
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'resources': {'pagination': False,
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'query': {'simple': False,
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'metadata': False,
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'complex': False}},
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'samples': {'pagination': False,
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'groupby': False,
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'query': {'simple': False,
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'metadata': False,
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'complex': False}},
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'statistics': {'pagination': False,
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'groupby': False,
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'query': {'simple': False,
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'metadata': False,
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'complex': False},
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'aggregation': {'standard': False,
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'selectable': {
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'max': False,
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'min': False,
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'sum': False,
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'avg': False,
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'count': False,
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'stddev': False,
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'cardinality': False}}
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},
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'events': {'query': {'simple': False}},
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}
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STORAGE_CAPABILITIES = {
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'storage': {'production_ready': False},
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}
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def __init__(self, url):
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"""Constructor."""
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pass
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@staticmethod
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def upgrade():
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"""Migrate the database to `version` or the most recent version."""
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@staticmethod
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def record_metering_data(data):
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"""Write the data to the backend storage system.
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:param data: a dictionary such as returned by
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ceilometer.meter.meter_message_from_counter
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All timestamps must be naive utc datetime object.
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"""
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raise NotImplementedError('Projects not implemented')
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@staticmethod
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def clear_expired_metering_data(ttl):
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"""Clear expired data from the backend storage system.
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Clearing occurs according to the time-to-live.
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:param ttl: Number of seconds to keep records for.
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"""
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raise NotImplementedError('Clearing samples not implemented')
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@staticmethod
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def get_resources(user=None, project=None, source=None,
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start_timestamp=None, start_timestamp_op=None,
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end_timestamp=None, end_timestamp_op=None,
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metaquery=None, resource=None, pagination=None):
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"""Return an iterable of models.Resource instances.
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Iterable items containing resource information.
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:param user: Optional ID for user that owns the resource.
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:param project: Optional ID for project that owns the resource.
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:param source: Optional source filter.
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:param start_timestamp: Optional modified timestamp start range.
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:param start_timestamp_op: Optional timestamp start range operation.
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:param end_timestamp: Optional modified timestamp end range.
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:param end_timestamp_op: Optional timestamp end range operation.
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:param metaquery: Optional dict with metadata to match on.
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:param resource: Optional resource filter.
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:param pagination: Optional pagination query.
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"""
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raise NotImplementedError('Resources not implemented')
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@staticmethod
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def get_meters(user=None, project=None, resource=None, source=None,
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metaquery=None, pagination=None):
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"""Return an iterable of model.Meter instances.
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Iterable items containing meter information.
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:param user: Optional ID for user that owns the resource.
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:param project: Optional ID for project that owns the resource.
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:param resource: Optional resource filter.
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:param source: Optional source filter.
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:param metaquery: Optional dict with metadata to match on.
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:param pagination: Optional pagination query.
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"""
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raise NotImplementedError('Meters not implemented')
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@staticmethod
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def get_samples(sample_filter, limit=None):
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"""Return an iterable of model.Sample instances.
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:param sample_filter: Filter.
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:param limit: Maximum number of results to return.
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"""
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raise NotImplementedError('Samples not implemented')
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@staticmethod
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def get_meter_statistics(sample_filter, period=None, groupby=None,
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aggregate=None):
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"""Return an iterable of model.Statistics instances.
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The filter must have a meter value set.
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"""
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raise NotImplementedError('Statistics not implemented')
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@staticmethod
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def clear():
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"""Clear database."""
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@staticmethod
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def record_events(events):
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"""Write the events to the backend storage system.
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:param events: a list of model.Event objects.
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"""
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raise NotImplementedError('Events not implemented.')
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@staticmethod
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def get_events(event_filter):
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"""Return an iterable of model.Event objects."""
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raise NotImplementedError('Events not implemented.')
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@staticmethod
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def get_event_types():
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"""Return all event types as an iterable of strings."""
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raise NotImplementedError('Events not implemented.')
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@staticmethod
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def get_trait_types(event_type):
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"""Return a dictionary containing the name and data type of the trait.
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Only trait types for the provided event_type are
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returned.
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:param event_type: the type of the Event
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"""
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raise NotImplementedError('Events not implemented.')
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@staticmethod
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def get_traits(event_type, trait_type=None):
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"""Return all trait instances associated with an event_type.
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If trait_type is specified, only return instances of that trait type.
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:param event_type: the type of the Event to filter by
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:param trait_type: the name of the Trait to filter by
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"""
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raise NotImplementedError('Events not implemented.')
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@staticmethod
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def query_samples(filter_expr=None, orderby=None, limit=None):
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"""Return an iterable of model.Sample objects.
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:param filter_expr: Filter expression for query.
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:param orderby: List of field name and direction pairs for order by.
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:param limit: Maximum number of results to return.
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"""
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raise NotImplementedError('Complex query for samples '
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'is not implemented.')
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@classmethod
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def get_capabilities(cls):
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"""Return an dictionary with the capabilities of each driver."""
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return cls.CAPABILITIES
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@classmethod
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def get_storage_capabilities(cls):
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"""Return a dictionary representing the performance capabilities.
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This is needed to evaluate the performance of each driver.
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"""
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return cls.STORAGE_CAPABILITIES
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