904 lines
38 KiB
Python
904 lines
38 KiB
Python
#
|
|
# Author: John Tran <jhtran@att.com>
|
|
# Julien Danjou <julien@danjou.info>
|
|
#
|
|
# 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.
|
|
|
|
"""SQLAlchemy storage backend."""
|
|
|
|
from __future__ import absolute_import
|
|
import datetime
|
|
import operator
|
|
import os
|
|
|
|
from oslo.config import cfg
|
|
from oslo.utils import timeutils
|
|
import six
|
|
from sqlalchemy import and_
|
|
from sqlalchemy import distinct
|
|
from sqlalchemy import func
|
|
from sqlalchemy.orm import aliased
|
|
|
|
from ceilometer.openstack.common.db import exception as dbexc
|
|
from ceilometer.openstack.common.db.sqlalchemy import migration
|
|
import ceilometer.openstack.common.db.sqlalchemy.session as sqlalchemy_session
|
|
from ceilometer.openstack.common.gettextutils import _
|
|
from ceilometer.openstack.common import log
|
|
from ceilometer import storage
|
|
from ceilometer.storage import base
|
|
from ceilometer.storage import models as api_models
|
|
from ceilometer.storage.sqlalchemy import models
|
|
from ceilometer.storage.sqlalchemy import utils as sql_utils
|
|
from ceilometer import utils
|
|
|
|
LOG = log.getLogger(__name__)
|
|
|
|
|
|
STANDARD_AGGREGATES = dict(
|
|
avg=func.avg(models.Sample.volume).label('avg'),
|
|
sum=func.sum(models.Sample.volume).label('sum'),
|
|
min=func.min(models.Sample.volume).label('min'),
|
|
max=func.max(models.Sample.volume).label('max'),
|
|
count=func.count(models.Sample.volume).label('count')
|
|
)
|
|
|
|
UNPARAMETERIZED_AGGREGATES = dict(
|
|
stddev=func.stddev_pop(models.Sample.volume).label('stddev')
|
|
)
|
|
|
|
PARAMETERIZED_AGGREGATES = dict(
|
|
validate=dict(
|
|
cardinality=lambda p: p in ['resource_id', 'user_id', 'project_id']
|
|
),
|
|
compute=dict(
|
|
cardinality=lambda p: func.count(
|
|
distinct(getattr(models.Sample, p))
|
|
).label('cardinality/%s' % p)
|
|
)
|
|
)
|
|
|
|
AVAILABLE_CAPABILITIES = {
|
|
'meters': {'query': {'simple': True,
|
|
'metadata': True}},
|
|
'resources': {'query': {'simple': True,
|
|
'metadata': True}},
|
|
'samples': {'pagination': True,
|
|
'groupby': True,
|
|
'query': {'simple': True,
|
|
'metadata': True,
|
|
'complex': True}},
|
|
'statistics': {'groupby': True,
|
|
'query': {'simple': True,
|
|
'metadata': True},
|
|
'aggregation': {'standard': True,
|
|
'selectable': {
|
|
'max': True,
|
|
'min': True,
|
|
'sum': True,
|
|
'avg': True,
|
|
'count': True,
|
|
'stddev': True,
|
|
'cardinality': True}}
|
|
},
|
|
'events': {'query': {'simple': True}},
|
|
}
|
|
|
|
|
|
AVAILABLE_STORAGE_CAPABILITIES = {
|
|
'storage': {'production_ready': True},
|
|
}
|
|
|
|
|
|
def apply_metaquery_filter(session, query, metaquery):
|
|
"""Apply provided metaquery filter to existing query.
|
|
|
|
:param session: session used for original query
|
|
:param query: Query instance
|
|
:param metaquery: dict with metadata to match on.
|
|
"""
|
|
for k, value in six.iteritems(metaquery):
|
|
key = k[9:] # strip out 'metadata.' prefix
|
|
try:
|
|
_model = sql_utils.META_TYPE_MAP[type(value)]
|
|
except KeyError:
|
|
raise NotImplementedError('Query on %(key)s is of %(value)s '
|
|
'type and is not supported' %
|
|
{"key": k, "value": type(value)})
|
|
else:
|
|
meta_alias = aliased(_model)
|
|
on_clause = and_(models.Sample.id == meta_alias.id,
|
|
meta_alias.meta_key == key)
|
|
# outer join is needed to support metaquery
|
|
# with or operator on non existent metadata field
|
|
# see: test_query_non_existing_metadata_with_result
|
|
# test case.
|
|
query = query.outerjoin(meta_alias, on_clause)
|
|
query = query.filter(meta_alias.value == value)
|
|
|
|
return query
|
|
|
|
|
|
def make_query_from_filter(session, query, sample_filter, require_meter=True):
|
|
"""Return a query dictionary based on the settings in the filter.
|
|
|
|
:param session: session used for original query
|
|
:param query: Query instance
|
|
:param sample_filter: SampleFilter instance
|
|
:param require_meter: If true and the filter does not have a meter,
|
|
raise an error.
|
|
"""
|
|
|
|
if sample_filter.meter:
|
|
query = query.filter(models.Meter.name == sample_filter.meter)
|
|
elif require_meter:
|
|
raise RuntimeError('Missing required meter specifier')
|
|
if sample_filter.source:
|
|
query = query.filter(
|
|
models.Sample.source_id == sample_filter.source)
|
|
if sample_filter.start:
|
|
ts_start = sample_filter.start
|
|
if sample_filter.start_timestamp_op == 'gt':
|
|
query = query.filter(models.Sample.timestamp > ts_start)
|
|
else:
|
|
query = query.filter(models.Sample.timestamp >= ts_start)
|
|
if sample_filter.end:
|
|
ts_end = sample_filter.end
|
|
if sample_filter.end_timestamp_op == 'le':
|
|
query = query.filter(models.Sample.timestamp <= ts_end)
|
|
else:
|
|
query = query.filter(models.Sample.timestamp < ts_end)
|
|
if sample_filter.user:
|
|
query = query.filter(models.Sample.user_id == sample_filter.user)
|
|
if sample_filter.project:
|
|
query = query.filter(
|
|
models.Sample.project_id == sample_filter.project)
|
|
if sample_filter.resource:
|
|
query = query.filter(
|
|
models.Sample.resource_id == sample_filter.resource)
|
|
if sample_filter.message_id:
|
|
query = query.filter(
|
|
models.Sample.message_id == sample_filter.message_id)
|
|
|
|
if sample_filter.metaquery:
|
|
query = apply_metaquery_filter(session, query,
|
|
sample_filter.metaquery)
|
|
|
|
return query
|
|
|
|
|
|
class Connection(base.Connection):
|
|
"""Put the data into a SQLAlchemy database.
|
|
|
|
Tables::
|
|
|
|
- meter
|
|
- meter definition
|
|
- { id: meter def id
|
|
name: meter name
|
|
type: meter type
|
|
unit: meter unit
|
|
}
|
|
- sample
|
|
- the raw incoming data
|
|
- { id: sample id
|
|
meter_id: meter id (->meter.id)
|
|
user_id: user uuid
|
|
project_id: project uuid
|
|
resource_id: resource uuid
|
|
source_id: source id
|
|
resource_metadata: metadata dictionaries
|
|
volume: sample volume
|
|
timestamp: datetime
|
|
message_signature: message signature
|
|
message_id: message uuid
|
|
}
|
|
"""
|
|
CAPABILITIES = utils.update_nested(base.Connection.CAPABILITIES,
|
|
AVAILABLE_CAPABILITIES)
|
|
STORAGE_CAPABILITIES = utils.update_nested(
|
|
base.Connection.STORAGE_CAPABILITIES,
|
|
AVAILABLE_STORAGE_CAPABILITIES,
|
|
)
|
|
|
|
def __init__(self, url):
|
|
self._engine_facade = sqlalchemy_session.EngineFacade.from_config(
|
|
url,
|
|
cfg.CONF # TODO(Alexei_987) Remove access to global CONF object
|
|
)
|
|
|
|
def upgrade(self):
|
|
path = os.path.join(os.path.abspath(os.path.dirname(__file__)),
|
|
'sqlalchemy', 'migrate_repo')
|
|
migration.db_sync(self._engine_facade.get_engine(), path)
|
|
|
|
def clear(self):
|
|
engine = self._engine_facade.get_engine()
|
|
for table in reversed(models.Base.metadata.sorted_tables):
|
|
engine.execute(table.delete())
|
|
self._engine_facade._session_maker.close_all()
|
|
engine.dispose()
|
|
|
|
@staticmethod
|
|
def _create_meter(session, name, type, unit):
|
|
try:
|
|
nested = session.connection().dialect.name != 'sqlite'
|
|
with session.begin(nested=nested,
|
|
subtransactions=not nested):
|
|
obj = (session.query(models.Meter)
|
|
.filter(models.Meter.name == name)
|
|
.filter(models.Meter.type == type)
|
|
.filter(models.Meter.unit == unit).first())
|
|
if obj is None:
|
|
obj = models.Meter(name=name, type=type, unit=unit)
|
|
session.add(obj)
|
|
except dbexc.DBDuplicateEntry:
|
|
# retry function to pick up duplicate committed object
|
|
obj = Connection._create_meter(session, name, type, unit)
|
|
|
|
return obj
|
|
|
|
def record_metering_data(self, data):
|
|
"""Write the data to the backend storage system.
|
|
|
|
:param data: a dictionary such as returned by
|
|
ceilometer.meter.meter_message_from_counter
|
|
"""
|
|
session = self._engine_facade.get_session()
|
|
with session.begin():
|
|
# Record the raw data for the sample.
|
|
rmetadata = data['resource_metadata']
|
|
meter = self._create_meter(session,
|
|
data['counter_name'],
|
|
data['counter_type'],
|
|
data['counter_unit'])
|
|
sample = models.Sample(meter_id=meter.id)
|
|
session.add(sample)
|
|
sample.resource_id = data['resource_id']
|
|
sample.project_id = data['project_id']
|
|
sample.user_id = data['user_id']
|
|
sample.timestamp = data['timestamp']
|
|
sample.resource_metadata = rmetadata
|
|
sample.volume = data['counter_volume']
|
|
sample.message_signature = data['message_signature']
|
|
sample.message_id = data['message_id']
|
|
sample.source_id = data['source']
|
|
session.flush()
|
|
|
|
if rmetadata:
|
|
if isinstance(rmetadata, dict):
|
|
for key, v in utils.dict_to_keyval(rmetadata):
|
|
try:
|
|
_model = sql_utils.META_TYPE_MAP[type(v)]
|
|
except KeyError:
|
|
LOG.warn(_("Unknown metadata type. Key (%s) will "
|
|
"not be queryable."), key)
|
|
else:
|
|
session.add(_model(id=sample.id,
|
|
meta_key=key,
|
|
value=v))
|
|
|
|
def clear_expired_metering_data(self, ttl):
|
|
"""Clear expired data from the backend storage system.
|
|
|
|
Clearing occurs according to the time-to-live.
|
|
:param ttl: Number of seconds to keep records for.
|
|
"""
|
|
|
|
session = self._engine_facade.get_session()
|
|
with session.begin():
|
|
end = timeutils.utcnow() - datetime.timedelta(seconds=ttl)
|
|
sample_q = (session.query(models.Sample)
|
|
.filter(models.Sample.timestamp < end))
|
|
|
|
sample_subq = sample_q.subquery()
|
|
for table in [models.MetaText, models.MetaBigInt,
|
|
models.MetaFloat, models.MetaBool]:
|
|
(session.query(table)
|
|
.join(sample_subq, sample_subq.c.id == table.id)
|
|
.delete())
|
|
|
|
rows = sample_q.delete()
|
|
# remove Meter definitions with no matching samples
|
|
(session.query(models.Meter)
|
|
.filter(~models.Meter.samples.any())
|
|
.delete(synchronize_session='fetch'))
|
|
LOG.info(_("%d samples removed from database"), rows)
|
|
|
|
def get_resources(self, user=None, project=None, source=None,
|
|
start_timestamp=None, start_timestamp_op=None,
|
|
end_timestamp=None, end_timestamp_op=None,
|
|
metaquery=None, resource=None, pagination=None):
|
|
"""Return an iterable of api_models.Resource instances
|
|
|
|
:param user: Optional ID for user that owns the resource.
|
|
:param project: Optional ID for project that owns the resource.
|
|
:param source: Optional source filter.
|
|
:param start_timestamp: Optional modified timestamp start range.
|
|
:param start_timestamp_op: Optional start time operator, like gt, ge.
|
|
:param end_timestamp: Optional modified timestamp end range.
|
|
:param end_timestamp_op: Optional end time operator, like lt, le.
|
|
:param metaquery: Optional dict with metadata to match on.
|
|
:param resource: Optional resource filter.
|
|
:param pagination: Optional pagination query.
|
|
"""
|
|
if pagination:
|
|
raise NotImplementedError('Pagination not implemented')
|
|
|
|
s_filter = storage.SampleFilter(user=user,
|
|
project=project,
|
|
source=source,
|
|
start=start_timestamp,
|
|
start_timestamp_op=start_timestamp_op,
|
|
end=end_timestamp,
|
|
end_timestamp_op=end_timestamp_op,
|
|
metaquery=metaquery,
|
|
resource=resource)
|
|
|
|
session = self._engine_facade.get_session()
|
|
# get list of resource_ids
|
|
res_q = session.query(distinct(models.Sample.resource_id))
|
|
res_q = make_query_from_filter(session, res_q, s_filter,
|
|
require_meter=False)
|
|
|
|
for res_id in res_q.all():
|
|
# get latest Sample
|
|
max_q = (session.query(models.Sample)
|
|
.filter(models.Sample.resource_id == res_id[0]))
|
|
max_q = make_query_from_filter(session, max_q, s_filter,
|
|
require_meter=False)
|
|
max_q = max_q.order_by(models.Sample.timestamp.desc(),
|
|
models.Sample.id.desc()).limit(1)
|
|
|
|
# get the min timestamp value.
|
|
min_q = (session.query(models.Sample.timestamp)
|
|
.filter(models.Sample.resource_id == res_id[0]))
|
|
min_q = make_query_from_filter(session, min_q, s_filter,
|
|
require_meter=False)
|
|
min_q = min_q.order_by(models.Sample.timestamp.asc()).limit(1)
|
|
|
|
sample = max_q.first()
|
|
if sample:
|
|
yield api_models.Resource(
|
|
resource_id=sample.resource_id,
|
|
project_id=sample.project_id,
|
|
first_sample_timestamp=min_q.first().timestamp,
|
|
last_sample_timestamp=sample.timestamp,
|
|
source=sample.source_id,
|
|
user_id=sample.user_id,
|
|
metadata=sample.resource_metadata
|
|
)
|
|
|
|
def get_meters(self, user=None, project=None, resource=None, source=None,
|
|
metaquery=None, pagination=None):
|
|
"""Return an iterable of api_models.Meter instances
|
|
|
|
:param user: Optional ID for user that owns the resource.
|
|
:param project: Optional ID for project that owns the resource.
|
|
:param resource: Optional ID of the resource.
|
|
:param source: Optional source filter.
|
|
:param metaquery: Optional dict with metadata to match on.
|
|
:param pagination: Optional pagination query.
|
|
"""
|
|
|
|
if pagination:
|
|
raise NotImplementedError('Pagination not implemented')
|
|
|
|
s_filter = storage.SampleFilter(user=user,
|
|
project=project,
|
|
source=source,
|
|
metaquery=metaquery,
|
|
resource=resource)
|
|
|
|
session = self._engine_facade.get_session()
|
|
|
|
# sample_subq is used to reduce sample records
|
|
# by selecting a record for each (resource_id, meter_id).
|
|
# max() is used to choice a sample record, so the latest record
|
|
# is selected for each (resource_id, meter_id).
|
|
sample_subq = (session.query(
|
|
func.max(models.Sample.id).label('id'))
|
|
.group_by(models.Sample.meter_id,
|
|
models.Sample.resource_id))
|
|
sample_subq = sample_subq.subquery()
|
|
|
|
# SELECT sample.* FROM sample INNER JOIN
|
|
# (SELECT max(sample.id) AS id FROM sample
|
|
# GROUP BY sample.resource_id, sample.meter_id) AS anon_2
|
|
# ON sample.id = anon_2.id
|
|
query_sample = (session.query(models.MeterSample).
|
|
join(sample_subq, models.MeterSample.id ==
|
|
sample_subq.c.id))
|
|
query_sample = make_query_from_filter(session, query_sample, s_filter,
|
|
require_meter=False)
|
|
|
|
for sample in query_sample.all():
|
|
yield api_models.Meter(
|
|
name=sample.counter_name,
|
|
type=sample.counter_type,
|
|
unit=sample.counter_unit,
|
|
resource_id=sample.resource_id,
|
|
project_id=sample.project_id,
|
|
source=sample.source_id,
|
|
user_id=sample.user_id)
|
|
|
|
def _retrieve_samples(self, query):
|
|
samples = query.all()
|
|
|
|
for s in samples:
|
|
# Remove the id generated by the database when
|
|
# the sample was inserted. It is an implementation
|
|
# detail that should not leak outside of the driver.
|
|
yield api_models.Sample(
|
|
source=s.source_id,
|
|
counter_name=s.counter_name,
|
|
counter_type=s.counter_type,
|
|
counter_unit=s.counter_unit,
|
|
counter_volume=s.counter_volume,
|
|
user_id=s.user_id,
|
|
project_id=s.project_id,
|
|
resource_id=s.resource_id,
|
|
timestamp=s.timestamp,
|
|
recorded_at=s.recorded_at,
|
|
resource_metadata=s.resource_metadata,
|
|
message_id=s.message_id,
|
|
message_signature=s.message_signature,
|
|
)
|
|
|
|
def get_samples(self, sample_filter, limit=None):
|
|
"""Return an iterable of api_models.Samples.
|
|
|
|
:param sample_filter: Filter.
|
|
:param limit: Maximum number of results to return.
|
|
"""
|
|
if limit == 0:
|
|
return []
|
|
|
|
table = models.MeterSample
|
|
session = self._engine_facade.get_session()
|
|
query = session.query(table)
|
|
query = make_query_from_filter(session, query, sample_filter,
|
|
require_meter=False)
|
|
transformer = sql_utils.QueryTransformer(table, query)
|
|
transformer.apply_options(None,
|
|
limit)
|
|
return self._retrieve_samples(transformer.get_query())
|
|
|
|
def query_samples(self, filter_expr=None, orderby=None, limit=None):
|
|
if limit == 0:
|
|
return []
|
|
|
|
session = self._engine_facade.get_session()
|
|
query = session.query(models.MeterSample)
|
|
transformer = sql_utils.QueryTransformer(models.MeterSample, query)
|
|
if filter_expr is not None:
|
|
transformer.apply_filter(filter_expr)
|
|
|
|
transformer.apply_options(orderby,
|
|
limit)
|
|
return self._retrieve_samples(transformer.get_query())
|
|
|
|
@staticmethod
|
|
def _get_aggregate_functions(aggregate):
|
|
if not aggregate:
|
|
return [f for f in STANDARD_AGGREGATES.values()]
|
|
|
|
functions = []
|
|
|
|
for a in aggregate:
|
|
if a.func in STANDARD_AGGREGATES:
|
|
functions.append(STANDARD_AGGREGATES[a.func])
|
|
elif a.func in UNPARAMETERIZED_AGGREGATES:
|
|
functions.append(UNPARAMETERIZED_AGGREGATES[a.func])
|
|
elif a.func in PARAMETERIZED_AGGREGATES['compute']:
|
|
validate = PARAMETERIZED_AGGREGATES['validate'].get(a.func)
|
|
if not (validate and validate(a.param)):
|
|
raise storage.StorageBadAggregate('Bad aggregate: %s.%s'
|
|
% (a.func, a.param))
|
|
compute = PARAMETERIZED_AGGREGATES['compute'][a.func]
|
|
functions.append(compute(a.param))
|
|
else:
|
|
raise NotImplementedError('Selectable aggregate function %s'
|
|
' is not supported' % a.func)
|
|
|
|
return functions
|
|
|
|
def _make_stats_query(self, sample_filter, groupby, aggregate):
|
|
|
|
select = [
|
|
models.Meter.unit,
|
|
func.min(models.Sample.timestamp).label('tsmin'),
|
|
func.max(models.Sample.timestamp).label('tsmax'),
|
|
]
|
|
|
|
select.extend(self._get_aggregate_functions(aggregate))
|
|
|
|
session = self._engine_facade.get_session()
|
|
|
|
if groupby:
|
|
group_attributes = [getattr(models.Sample, g) for g in groupby]
|
|
select.extend(group_attributes)
|
|
|
|
query = (session.query(*select).join(
|
|
models.Sample, models.Meter.id == models.Sample.meter_id).
|
|
group_by(models.Meter.unit))
|
|
|
|
if groupby:
|
|
query = query.group_by(*group_attributes)
|
|
|
|
return make_query_from_filter(session, query, sample_filter)
|
|
|
|
@staticmethod
|
|
def _stats_result_aggregates(result, aggregate):
|
|
stats_args = {}
|
|
if isinstance(result.count, (int, long)):
|
|
stats_args['count'] = result.count
|
|
for attr in ['min', 'max', 'sum', 'avg']:
|
|
if hasattr(result, attr):
|
|
stats_args[attr] = getattr(result, attr)
|
|
if aggregate:
|
|
stats_args['aggregate'] = {}
|
|
for a in aggregate:
|
|
key = '%s%s' % (a.func, '/%s' % a.param if a.param else '')
|
|
stats_args['aggregate'][key] = getattr(result, key)
|
|
return stats_args
|
|
|
|
@staticmethod
|
|
def _stats_result_to_model(result, period, period_start,
|
|
period_end, groupby, aggregate):
|
|
stats_args = Connection._stats_result_aggregates(result, aggregate)
|
|
stats_args['unit'] = result.unit
|
|
duration = (timeutils.delta_seconds(result.tsmin, result.tsmax)
|
|
if result.tsmin is not None and result.tsmax is not None
|
|
else None)
|
|
stats_args['duration'] = duration
|
|
stats_args['duration_start'] = result.tsmin
|
|
stats_args['duration_end'] = result.tsmax
|
|
stats_args['period'] = period
|
|
stats_args['period_start'] = period_start
|
|
stats_args['period_end'] = period_end
|
|
stats_args['groupby'] = (dict(
|
|
(g, getattr(result, g)) for g in groupby) if groupby else None)
|
|
return api_models.Statistics(**stats_args)
|
|
|
|
def get_meter_statistics(self, sample_filter, period=None, groupby=None,
|
|
aggregate=None):
|
|
"""Return an iterable of api_models.Statistics instances.
|
|
|
|
Items are containing meter statistics described by the query
|
|
parameters. The filter must have a meter value set.
|
|
"""
|
|
if groupby:
|
|
for group in groupby:
|
|
if group not in ['user_id', 'project_id', 'resource_id']:
|
|
raise NotImplementedError('Unable to group by '
|
|
'these fields')
|
|
|
|
if not period:
|
|
for res in self._make_stats_query(sample_filter,
|
|
groupby,
|
|
aggregate):
|
|
if res.count:
|
|
yield self._stats_result_to_model(res, 0,
|
|
res.tsmin, res.tsmax,
|
|
groupby,
|
|
aggregate)
|
|
return
|
|
|
|
if not sample_filter.start or not sample_filter.end:
|
|
res = self._make_stats_query(sample_filter,
|
|
None,
|
|
aggregate).first()
|
|
if not res:
|
|
# NOTE(liusheng):The 'res' may be NoneType, because no
|
|
# sample has found with sample filter(s).
|
|
return
|
|
|
|
query = self._make_stats_query(sample_filter, groupby, aggregate)
|
|
# HACK(jd) This is an awful method to compute stats by period, but
|
|
# since we're trying to be SQL agnostic we have to write portable
|
|
# code, so here it is, admire! We're going to do one request to get
|
|
# stats by period. We would like to use GROUP BY, but there's no
|
|
# portable way to manipulate timestamp in SQL, so we can't.
|
|
for period_start, period_end in base.iter_period(
|
|
sample_filter.start or res.tsmin,
|
|
sample_filter.end or res.tsmax,
|
|
period):
|
|
q = query.filter(models.Sample.timestamp >= period_start)
|
|
q = q.filter(models.Sample.timestamp < period_end)
|
|
for r in q.all():
|
|
if r.count:
|
|
yield self._stats_result_to_model(
|
|
result=r,
|
|
period=int(timeutils.delta_seconds(period_start,
|
|
period_end)),
|
|
period_start=period_start,
|
|
period_end=period_end,
|
|
groupby=groupby,
|
|
aggregate=aggregate
|
|
)
|
|
|
|
def _get_or_create_trait_type(self, trait_type, data_type, session=None):
|
|
"""Find if this trait already exists in the database.
|
|
|
|
If it does not, create a new entry in the trait type table.
|
|
"""
|
|
if session is None:
|
|
session = self._engine_facade.get_session()
|
|
with session.begin(subtransactions=True):
|
|
tt = session.query(models.TraitType).filter(
|
|
models.TraitType.desc == trait_type,
|
|
models.TraitType.data_type == data_type).first()
|
|
if not tt:
|
|
tt = models.TraitType(trait_type, data_type)
|
|
session.add(tt)
|
|
return tt
|
|
|
|
def _make_trait(self, trait_model, event, session=None):
|
|
"""Make a new Trait from a Trait model.
|
|
|
|
Doesn't flush or add to session.
|
|
"""
|
|
trait_type = self._get_or_create_trait_type(trait_model.name,
|
|
trait_model.dtype,
|
|
session)
|
|
value_map = models.Trait._value_map
|
|
values = {'t_string': None, 't_float': None,
|
|
't_int': None, 't_datetime': None}
|
|
value = trait_model.value
|
|
values[value_map[trait_model.dtype]] = value
|
|
return models.Trait(trait_type, event, **values)
|
|
|
|
def _get_or_create_event_type(self, event_type, session=None):
|
|
"""Check if an event type with the supplied name is already exists.
|
|
|
|
If not, we create it and return the record. This may result in a flush.
|
|
"""
|
|
if session is None:
|
|
session = self._engine_facade.get_session()
|
|
with session.begin(subtransactions=True):
|
|
et = session.query(models.EventType).filter(
|
|
models.EventType.desc == event_type).first()
|
|
if not et:
|
|
et = models.EventType(event_type)
|
|
session.add(et)
|
|
return et
|
|
|
|
def _record_event(self, session, event_model):
|
|
"""Store a single Event, including related Traits."""
|
|
with session.begin(subtransactions=True):
|
|
event_type = self._get_or_create_event_type(event_model.event_type,
|
|
session=session)
|
|
|
|
event = models.Event(event_model.message_id, event_type,
|
|
event_model.generated)
|
|
session.add(event)
|
|
|
|
new_traits = []
|
|
if event_model.traits:
|
|
for trait in event_model.traits:
|
|
t = self._make_trait(trait, event, session=session)
|
|
session.add(t)
|
|
new_traits.append(t)
|
|
|
|
# Note: we don't flush here, explicitly (unless a new trait or event
|
|
# does it). Otherwise, just wait until all the Events are staged.
|
|
return (event, new_traits)
|
|
|
|
def record_events(self, event_models):
|
|
"""Write the events to SQL database via sqlalchemy.
|
|
|
|
:param event_models: a list of model.Event objects.
|
|
|
|
Returns a list of events that could not be saved in a
|
|
(reason, event) tuple. Reasons are enumerated in
|
|
storage.model.Event
|
|
|
|
Flush when they're all added, unless new EventTypes or
|
|
TraitTypes are added along the way.
|
|
"""
|
|
session = self._engine_facade.get_session()
|
|
events = []
|
|
problem_events = []
|
|
for event_model in event_models:
|
|
event = None
|
|
try:
|
|
with session.begin():
|
|
event = self._record_event(session, event_model)
|
|
except dbexc.DBDuplicateEntry as e:
|
|
LOG.exception(_("Failed to record duplicated event: %s") % e)
|
|
problem_events.append((api_models.Event.DUPLICATE,
|
|
event_model))
|
|
except Exception as e:
|
|
LOG.exception(_('Failed to record event: %s') % e)
|
|
problem_events.append((api_models.Event.UNKNOWN_PROBLEM,
|
|
event_model))
|
|
events.append(event)
|
|
return problem_events
|
|
|
|
def get_events(self, event_filter):
|
|
"""Return an iterable of model.Event objects.
|
|
|
|
:param event_filter: EventFilter instance
|
|
"""
|
|
|
|
start = event_filter.start_time
|
|
end = event_filter.end_time
|
|
session = self._engine_facade.get_session()
|
|
LOG.debug(_("Getting events that match filter: %s") % event_filter)
|
|
with session.begin():
|
|
event_query = session.query(models.Event)
|
|
|
|
# Build up the join conditions
|
|
event_join_conditions = [models.EventType.id ==
|
|
models.Event.event_type_id]
|
|
|
|
if event_filter.event_type:
|
|
event_join_conditions.append(models.EventType.desc ==
|
|
event_filter.event_type)
|
|
|
|
event_query = event_query.join(models.EventType,
|
|
and_(*event_join_conditions))
|
|
|
|
# Build up the where conditions
|
|
event_filter_conditions = []
|
|
if event_filter.message_id:
|
|
event_filter_conditions.append(models.Event.message_id ==
|
|
event_filter.message_id)
|
|
if start:
|
|
event_filter_conditions.append(models.Event.generated >= start)
|
|
if end:
|
|
event_filter_conditions.append(models.Event.generated <= end)
|
|
|
|
if event_filter_conditions:
|
|
event_query = (event_query.
|
|
filter(and_(*event_filter_conditions)))
|
|
|
|
event_models_dict = {}
|
|
if event_filter.traits_filter:
|
|
for trait_filter in event_filter.traits_filter:
|
|
|
|
# Build a sub query that joins Trait to TraitType
|
|
# where the trait name matches
|
|
trait_name = trait_filter.pop('key')
|
|
conditions = [models.Trait.trait_type_id ==
|
|
models.TraitType.id,
|
|
models.TraitType.desc == trait_name]
|
|
|
|
for key, value in six.iteritems(trait_filter):
|
|
if key == 'string':
|
|
conditions.append(models.Trait.t_string == value)
|
|
elif key == 'integer':
|
|
conditions.append(models.Trait.t_int == value)
|
|
elif key == 'datetime':
|
|
conditions.append(models.Trait.t_datetime == value)
|
|
elif key == 'float':
|
|
conditions.append(models.Trait.t_float == value)
|
|
|
|
trait_query = (session.query(models.Trait.event_id).
|
|
join(models.TraitType,
|
|
and_(*conditions)).subquery())
|
|
|
|
event_query = (event_query.
|
|
join(trait_query, models.Event.id ==
|
|
trait_query.c.event_id))
|
|
else:
|
|
# If there are no trait filters, grab the events from the db
|
|
query = (session.query(models.Event.id,
|
|
models.Event.generated,
|
|
models.Event.message_id,
|
|
models.EventType.desc).
|
|
join(models.EventType, and_(*event_join_conditions)))
|
|
if event_filter_conditions:
|
|
query = query.filter(and_(*event_filter_conditions))
|
|
for (id_, generated, message_id, desc_) in query.all():
|
|
event_models_dict[id_] = api_models.Event(message_id,
|
|
desc_,
|
|
generated,
|
|
[])
|
|
|
|
# Build event models for the events
|
|
event_query = event_query.subquery()
|
|
query = (session.query(models.Trait).
|
|
join(models.TraitType, models.Trait.trait_type_id ==
|
|
models.TraitType.id).
|
|
join(event_query, models.Trait.event_id ==
|
|
event_query.c.id))
|
|
|
|
# Now convert the sqlalchemy objects back into Models ...
|
|
for trait in query.all():
|
|
event = event_models_dict.get(trait.event_id)
|
|
if not event:
|
|
event = api_models.Event(
|
|
trait.event.message_id,
|
|
trait.event.event_type.desc,
|
|
trait.event.generated, [])
|
|
event_models_dict[trait.event_id] = event
|
|
trait_model = api_models.Trait(trait.trait_type.desc,
|
|
trait.trait_type.data_type,
|
|
trait.get_value())
|
|
event.append_trait(trait_model)
|
|
|
|
event_models = event_models_dict.values()
|
|
return sorted(event_models, key=operator.attrgetter('generated'))
|
|
|
|
def get_event_types(self):
|
|
"""Return all event types as an iterable of strings."""
|
|
|
|
session = self._engine_facade.get_session()
|
|
with session.begin():
|
|
query = (session.query(models.EventType.desc).
|
|
order_by(models.EventType.desc))
|
|
for name in query.all():
|
|
# The query returns a tuple with one element.
|
|
yield name[0]
|
|
|
|
def get_trait_types(self, event_type):
|
|
"""Return a dictionary containing the name and data type of the trait.
|
|
|
|
Only trait types for the provided event_type are returned.
|
|
:param event_type: the type of the Event
|
|
"""
|
|
session = self._engine_facade.get_session()
|
|
|
|
LOG.debug(_("Get traits for %s") % event_type)
|
|
with session.begin():
|
|
query = (session.query(models.TraitType.desc,
|
|
models.TraitType.data_type)
|
|
.join(models.Trait,
|
|
models.Trait.trait_type_id ==
|
|
models.TraitType.id)
|
|
.join(models.Event,
|
|
models.Event.id ==
|
|
models.Trait.event_id)
|
|
.join(models.EventType,
|
|
and_(models.EventType.id ==
|
|
models.Event.id,
|
|
models.EventType.desc ==
|
|
event_type))
|
|
.group_by(models.TraitType.desc,
|
|
models.TraitType.data_type)
|
|
.distinct())
|
|
|
|
for desc_, dtype in query.all():
|
|
yield {'name': desc_, 'data_type': dtype}
|
|
|
|
def get_traits(self, event_type, trait_type=None):
|
|
"""Return all trait instances associated with an event_type.
|
|
|
|
If trait_type is specified, only return instances of that trait type.
|
|
:param event_type: the type of the Event to filter by
|
|
:param trait_type: the name of the Trait to filter by
|
|
"""
|
|
|
|
session = self._engine_facade.get_session()
|
|
with session.begin():
|
|
trait_type_filters = [models.TraitType.id ==
|
|
models.Trait.trait_type_id]
|
|
if trait_type:
|
|
trait_type_filters.append(models.TraitType.desc == trait_type)
|
|
|
|
query = (session.query(models.Trait)
|
|
.join(models.TraitType, and_(*trait_type_filters))
|
|
.join(models.Event,
|
|
models.Event.id == models.Trait.event_id)
|
|
.join(models.EventType,
|
|
and_(models.EventType.id ==
|
|
models.Event.event_type_id,
|
|
models.EventType.desc == event_type)))
|
|
|
|
for trait in query.all():
|
|
type = trait.trait_type
|
|
yield api_models.Trait(name=type.desc,
|
|
dtype=type.data_type,
|
|
value=trait.get_value())
|