move db2 and mongo driver to event tree

this patch mves the event related code to the respective db2 and
mongo drivers in event tree

Change-Id: I1990f93143aae470fc9b70287c230260fef67b32
Partially-Implements: blueprint dedicated-event-db
This commit is contained in:
gordon chung 2014-10-02 16:08:00 -04:00
parent 4473a8c4c3
commit fa205ac32c
6 changed files with 218 additions and 125 deletions

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@ -12,9 +12,53 @@
# under the License.
"""DB2 storage backend
"""
import pymongo
from ceilometer.event.storage import pymongo_base
from ceilometer.storage import impl_db2
from ceilometer import storage
from ceilometer.storage.mongo import utils as pymongo_utils
class Connection(impl_db2.Connection, pymongo_base.Connection):
class Connection(pymongo_base.Connection):
"""The db2 event storage for Ceilometer."""
CONNECTION_POOL = pymongo_utils.ConnectionPool()
def __init__(self, url):
# Since we are using pymongo, even though we are connecting to DB2
# we still have to make sure that the scheme which used to distinguish
# db2 driver from mongodb driver be replaced so that pymongo will not
# produce an exception on the scheme.
url = url.replace('db2:', 'mongodb:', 1)
self.conn = self.CONNECTION_POOL.connect(url)
# Require MongoDB 2.2 to use aggregate(), since we are using mongodb
# as backend for test, the following code is necessary to make sure
# that the test wont try aggregate on older mongodb during the test.
# For db2, the versionArray won't be part of the server_info, so there
# will not be exception when real db2 gets used as backend.
server_info = self.conn.server_info()
if server_info.get('sysInfo'):
self._using_mongodb = True
else:
self._using_mongodb = False
if self._using_mongodb and server_info.get('versionArray') < [2, 2]:
raise storage.StorageBadVersion("Need at least MongoDB 2.2")
connection_options = pymongo.uri_parser.parse_uri(url)
self.db = getattr(self.conn, connection_options['database'])
if connection_options.get('username'):
self.db.authenticate(connection_options['username'],
connection_options['password'])
self.upgrade()
def clear(self):
# drop_database command does nothing on db2 database since this has
# not been implemented. However calling this method is important for
# removal of all the empty dbs created during the test runs since
# test run is against mongodb on Jenkins
self.conn.drop_database(self.db)
self.conn.close()

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@ -11,9 +11,42 @@
# License for the specific language governing permissions and limitations
# under the License.
"""MongoDB storage backend"""
import pymongo
from ceilometer.event.storage import pymongo_base
from ceilometer.storage import impl_mongodb
from ceilometer import storage
from ceilometer.storage.mongo import utils as pymongo_utils
class Connection(impl_mongodb.Connection, pymongo_base.Connection):
class Connection(pymongo_base.Connection):
"""Put the event data into a MongoDB database."""
CONNECTION_POOL = pymongo_utils.ConnectionPool()
def __init__(self, url):
# NOTE(jd) Use our own connection pooling on top of the Pymongo one.
# We need that otherwise we overflow the MongoDB instance with new
# connection since we instanciate a Pymongo client each time someone
# requires a new storage connection.
self.conn = self.CONNECTION_POOL.connect(url)
# Require MongoDB 2.4 to use $setOnInsert
if self.conn.server_info()['versionArray'] < [2, 4]:
raise storage.StorageBadVersion("Need at least MongoDB 2.4")
connection_options = pymongo.uri_parser.parse_uri(url)
self.db = getattr(self.conn, connection_options['database'])
if connection_options.get('username'):
self.db.authenticate(connection_options['username'],
connection_options['password'])
# NOTE(jd) Upgrading is just about creating index, so let's do this
# on connection to be sure at least the TTL is correcly updated if
# needed.
self.upgrade()
def clear(self):
self.conn.drop_database(self.db)
# Connection will be reopened automatically if needed
self.conn.close()

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@ -12,10 +12,17 @@
# under the License.
"""Common functions for MongoDB and DB2 backends
"""
from ceilometer.event.storage import base as event_base
from ceilometer.storage import pymongo_base as base
import pymongo
from ceilometer.event.storage import base
from ceilometer.event.storage import models
from ceilometer.openstack.common.gettextutils import _
from ceilometer.openstack.common import log
from ceilometer.storage.mongo import utils as pymongo_utils
from ceilometer import utils
LOG = log.getLogger(__name__)
COMMON_AVAILABLE_CAPABILITIES = {
'events': {'query': {'simple': True}},
@ -27,7 +34,7 @@ AVAILABLE_STORAGE_CAPABILITIES = {
}
class Connection(base.Connection, event_base.Connection):
class Connection(base.Connection):
"""Base event Connection class for MongoDB and DB2 drivers."""
CAPABILITIES = utils.update_nested(base.Connection.CAPABILITIES,
COMMON_AVAILABLE_CAPABILITIES)
@ -36,3 +43,112 @@ class Connection(base.Connection, event_base.Connection):
base.Connection.STORAGE_CAPABILITIES,
AVAILABLE_STORAGE_CAPABILITIES,
)
def record_events(self, event_models):
"""Write the events to database.
Return a list of events of type models.Event.DUPLICATE in case of
trying to write an already existing event to the database, or
models.Event.UNKONW_PROBLEM in case of any failures with recording the
event in the database.
:param event_models: a list of models.Event objects.
"""
problem_events = []
for event_model in event_models:
traits = []
if event_model.traits:
for trait in event_model.traits:
traits.append({'trait_name': trait.name,
'trait_type': trait.dtype,
'trait_value': trait.value})
try:
self.db.event.insert(
{'_id': event_model.message_id,
'event_type': event_model.event_type,
'timestamp': event_model.generated,
'traits': traits})
except pymongo.errors.DuplicateKeyError as ex:
LOG.exception(_("Failed to record duplicated event: %s") % ex)
problem_events.append((models.Event.DUPLICATE,
event_model))
except Exception as ex:
LOG.exception(_("Failed to record event: %s") % ex)
problem_events.append((models.Event.UNKNOWN_PROBLEM,
event_model))
return problem_events
def get_events(self, event_filter):
"""Return an iter of models.Event objects.
:param event_filter: storage.EventFilter object, consists of filters
for events that are stored in database.
"""
q = pymongo_utils.make_events_query_from_filter(event_filter)
for event in self.db.event.find(q):
traits = []
for trait in event['traits']:
traits.append(models.Trait(name=trait['trait_name'],
dtype=int(trait['trait_type']),
value=trait['trait_value']))
yield models.Event(message_id=event['_id'],
event_type=event['event_type'],
generated=event['timestamp'],
traits=traits)
def get_event_types(self):
"""Return all event types as an iter of strings."""
event_types = set()
events = self.db.event.find()
for event in events:
event_type = event['event_type']
if event_type not in event_types:
event_types.add(event_type)
yield event_type
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.
"""
trait_names = set()
events = self.db.event.find({'event_type': event_type})
for event in events:
for trait in event['traits']:
trait_name = trait['trait_name']
if trait_name not in trait_names:
# Here we check that our method return only unique
# trait types. Method will return only one trait type. It
# is proposed that certain trait name could have only one
# trait type.
trait_names.add(trait_name)
yield {'name': trait_name,
'data_type': trait['trait_type']}
def get_traits(self, event_type, trait_name=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_name: the name of the Trait to filter by
"""
if not trait_name:
events = self.db.event.find({'event_type': event_type})
else:
# We choose events that simultaneously have event_type and certain
# trait_name, and retrieve events contains only mentioned traits.
events = self.db.event.find({'$and': [{'event_type': event_type},
{'traits.trait_name': trait_name}]},
{'traits': {'$elemMatch':
{'trait_name': trait_name}}
})
for event in events:
for trait in event['traits']:
yield models.Trait(name=trait['trait_name'],
dtype=trait['trait_type'],
value=trait['trait_value'])

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@ -20,16 +20,11 @@
import pymongo
import ceilometer
from ceilometer.event.storage import models as ev_models
from ceilometer.openstack.common.gettextutils import _
from ceilometer.openstack.common import log
from ceilometer.storage import base
from ceilometer.storage import models
from ceilometer.storage.mongo import utils as pymongo_utils
from ceilometer import utils
LOG = log.getLogger(__name__)
COMMON_AVAILABLE_CAPABILITIES = {
'meters': {'query': {'simple': True,
@ -37,7 +32,6 @@ COMMON_AVAILABLE_CAPABILITIES = {
'samples': {'query': {'simple': True,
'metadata': True,
'complex': True}},
'events': {'query': {'simple': True}},
}
@ -113,116 +107,6 @@ class Connection(base.Connection):
[("timestamp", pymongo.DESCENDING)],
limit)
def record_events(self, event_models):
"""Write the events to database.
Return a list of events of type models.Event.DUPLICATE in case of
trying to write an already existing event to the database, or
models.Event.UNKONW_PROBLEM in case of any failures with recording the
event in the database.
:param event_models: a list of models.Event objects.
"""
problem_events = []
for event_model in event_models:
traits = []
if event_model.traits:
for trait in event_model.traits:
traits.append({'trait_name': trait.name,
'trait_type': trait.dtype,
'trait_value': trait.value})
try:
self.db.event.insert(
{'_id': event_model.message_id,
'event_type': event_model.event_type,
'timestamp': event_model.generated,
'traits': traits})
except pymongo.errors.DuplicateKeyError as ex:
LOG.exception(_("Failed to record duplicated event: %s") % ex)
problem_events.append((ev_models.Event.DUPLICATE,
event_model))
except Exception as ex:
LOG.exception(_("Failed to record event: %s") % ex)
problem_events.append((ev_models.Event.UNKNOWN_PROBLEM,
event_model))
return problem_events
def get_events(self, event_filter):
"""Return an iter of models.Event objects.
:param event_filter: storage.EventFilter object, consists of filters
for events that are stored in database.
"""
q = pymongo_utils.make_events_query_from_filter(event_filter)
for event in self.db.event.find(q):
traits = []
for trait in event['traits']:
traits.append(
ev_models.Trait(name=trait['trait_name'],
dtype=int(trait['trait_type']),
value=trait['trait_value']))
yield ev_models.Event(message_id=event['_id'],
event_type=event['event_type'],
generated=event['timestamp'],
traits=traits)
def get_event_types(self):
"""Return all event types as an iter of strings."""
event_types = set()
events = self.db.event.find()
for event in events:
event_type = event['event_type']
if event_type not in event_types:
event_types.add(event_type)
yield event_type
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.
"""
trait_names = set()
events = self.db.event.find({'event_type': event_type})
for event in events:
for trait in event['traits']:
trait_name = trait['trait_name']
if trait_name not in trait_names:
# Here we check that our method return only unique
# trait types. Method will return only one trait type. It
# is proposed that certain trait name could have only one
# trait type.
trait_names.add(trait_name)
yield {'name': trait_name,
'data_type': trait['trait_type']}
def get_traits(self, event_type, trait_name=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_name: the name of the Trait to filter by
"""
if not trait_name:
events = self.db.event.find({'event_type': event_type})
else:
# We choose events that simultaneously have event_type and certain
# trait_name, and retrieve events contains only mentioned traits.
events = self.db.event.find({'$and': [{'event_type': event_type},
{'traits.trait_name': trait_name}]},
{'traits': {'$elemMatch':
{'trait_name': trait_name}}
})
for event in events:
for trait in event['traits']:
yield ev_models.Trait(name=trait['trait_name'],
dtype=trait['trait_type'],
value=trait['trait_value'])
def query_samples(self, filter_expr=None, orderby=None, limit=None):
if limit == 0:
return []

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@ -24,6 +24,7 @@
"""
from ceilometer.alarm.storage import impl_db2 as impl_db2_alarm
from ceilometer.event.storage import impl_db2 as impl_db2_event
from ceilometer.storage import impl_db2
from ceilometer.tests import base as test_base
@ -62,12 +63,19 @@ class CapabilitiesTest(test_base.BaseTestCase):
'stddev': False,
'cardinality': False}}
},
'events': {'query': {'simple': True}}
'events': {'query': {'simple': False}}
}
actual_capabilities = impl_db2.Connection.get_capabilities()
self.assertEqual(expected_capabilities, actual_capabilities)
def test_event_capabilities(self):
expected_capabilities = {
'events': {'query': {'simple': True}},
}
actual_capabilities = impl_db2_event.Connection.get_capabilities()
self.assertEqual(expected_capabilities, actual_capabilities)
def test_alarm_capabilities(self):
expected_capabilities = {
'alarms': {'query': {'simple': True,

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@ -24,6 +24,7 @@
"""
from ceilometer.alarm.storage import impl_mongodb as impl_mongodb_alarm
from ceilometer.event.storage import impl_mongodb as impl_mongodb_event
from ceilometer.storage import base
from ceilometer.storage import impl_mongodb
from ceilometer.tests import base as test_base
@ -175,12 +176,19 @@ class CapabilitiesTest(test_base.BaseTestCase):
'stddev': True,
'cardinality': True}}
},
'events': {'query': {'simple': True}}
'events': {'query': {'simple': False}}
}
actual_capabilities = impl_mongodb.Connection.get_capabilities()
self.assertEqual(expected_capabilities, actual_capabilities)
def test_event_capabilities(self):
expected_capabilities = {
'events': {'query': {'simple': True}},
}
actual_capabilities = impl_mongodb_event.Connection.get_capabilities()
self.assertEqual(expected_capabilities, actual_capabilities)
def test_alarm_capabilities(self):
expected_capabilities = {
'alarms': {'query': {'simple': True,