423 lines
18 KiB
Python
423 lines
18 KiB
Python
#
|
|
# 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 datetime
|
|
import operator
|
|
import time
|
|
|
|
from oslo.utils import timeutils
|
|
|
|
import ceilometer
|
|
from ceilometer.i18n import _
|
|
from ceilometer.openstack.common import log
|
|
from ceilometer.storage import base
|
|
from ceilometer.storage.hbase import base as hbase_base
|
|
from ceilometer.storage.hbase import migration as hbase_migration
|
|
from ceilometer.storage.hbase import utils as hbase_utils
|
|
from ceilometer.storage import models
|
|
from ceilometer import utils
|
|
|
|
LOG = log.getLogger(__name__)
|
|
|
|
|
|
AVAILABLE_CAPABILITIES = {
|
|
'meters': {'query': {'simple': True,
|
|
'metadata': True}},
|
|
'resources': {'query': {'simple': True,
|
|
'metadata': True}},
|
|
'samples': {'query': {'simple': True,
|
|
'metadata': True}},
|
|
'statistics': {'query': {'simple': True,
|
|
'metadata': True},
|
|
'aggregation': {'standard': True}},
|
|
}
|
|
|
|
|
|
AVAILABLE_STORAGE_CAPABILITIES = {
|
|
'storage': {'production_ready': True},
|
|
}
|
|
|
|
|
|
class Connection(hbase_base.Connection, base.Connection):
|
|
"""Put the metering data into a HBase database
|
|
|
|
Collections:
|
|
|
|
- meter (describes sample actually):
|
|
|
|
- row-key: consists of reversed timestamp, meter and a message signature
|
|
for purposes of uniqueness
|
|
- Column Families:
|
|
|
|
f: contains the following qualifiers:
|
|
|
|
- counter_name: <name of counter>
|
|
- counter_type: <type of counter>
|
|
- counter_unit: <unit of counter>
|
|
- counter_volume: <volume of counter>
|
|
- message: <raw incoming data>
|
|
- message_id: <id of message>
|
|
- message_signature: <signature of message>
|
|
- resource_metadata: raw metadata for corresponding resource
|
|
of the meter
|
|
- project_id: <id of project>
|
|
- resource_id: <id of resource>
|
|
- user_id: <id of user>
|
|
- recorded_at: <datetime when sample has been recorded (utc.now)>
|
|
- flattened metadata with prefix r_metadata. e.g.::
|
|
|
|
f:r_metadata.display_name or f:r_metadata.tag
|
|
|
|
- rts: <reversed timestamp of entry>
|
|
- timestamp: <meter's timestamp (came from message)>
|
|
- source for meter with prefix 's'
|
|
|
|
- resource:
|
|
|
|
- row_key: uuid of resource
|
|
- Column Families:
|
|
|
|
f: contains the following qualifiers:
|
|
|
|
- resource_metadata: raw metadata for corresponding resource
|
|
- project_id: <id of project>
|
|
- resource_id: <id of resource>
|
|
- user_id: <id of user>
|
|
- flattened metadata with prefix r_metadata. e.g.::
|
|
|
|
f:r_metadata.display_name or f:r_metadata.tag
|
|
|
|
- sources for all corresponding meters with prefix 's'
|
|
- all meters with prefix 'm' for this resource in format:
|
|
|
|
.. code-block:: python
|
|
|
|
"%s:%s:%s:%s:%s" % (rts, source, counter_name, counter_type,
|
|
counter_unit)
|
|
"""
|
|
|
|
CAPABILITIES = utils.update_nested(base.Connection.CAPABILITIES,
|
|
AVAILABLE_CAPABILITIES)
|
|
STORAGE_CAPABILITIES = utils.update_nested(
|
|
base.Connection.STORAGE_CAPABILITIES,
|
|
AVAILABLE_STORAGE_CAPABILITIES,
|
|
)
|
|
_memory_instance = None
|
|
|
|
RESOURCE_TABLE = "resource"
|
|
METER_TABLE = "meter"
|
|
|
|
def __init__(self, url):
|
|
super(Connection, self).__init__(url)
|
|
|
|
def upgrade(self):
|
|
tables = [self.RESOURCE_TABLE, self.METER_TABLE]
|
|
column_families = {'f': dict(max_versions=1)}
|
|
with self.conn_pool.connection() as conn:
|
|
hbase_utils.create_tables(conn, tables, column_families)
|
|
hbase_migration.migrate_tables(conn, tables)
|
|
|
|
def clear(self):
|
|
LOG.debug(_('Dropping HBase schema...'))
|
|
with self.conn_pool.connection() as conn:
|
|
for table in [self.RESOURCE_TABLE,
|
|
self.METER_TABLE]:
|
|
try:
|
|
conn.disable_table(table)
|
|
except Exception:
|
|
LOG.debug(_('Cannot disable table but ignoring error'))
|
|
try:
|
|
conn.delete_table(table)
|
|
except Exception:
|
|
LOG.debug(_('Cannot delete table but ignoring error'))
|
|
|
|
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
|
|
"""
|
|
with self.conn_pool.connection() as conn:
|
|
resource_table = conn.table(self.RESOURCE_TABLE)
|
|
meter_table = conn.table(self.METER_TABLE)
|
|
|
|
resource_metadata = data.get('resource_metadata', {})
|
|
# Determine the name of new meter
|
|
rts = hbase_utils.timestamp(data['timestamp'])
|
|
new_meter = hbase_utils.prepare_key(
|
|
rts, data['source'], data['counter_name'],
|
|
data['counter_type'], data['counter_unit'])
|
|
|
|
# TODO(nprivalova): try not to store resource_id
|
|
resource = hbase_utils.serialize_entry(**{
|
|
'source': data['source'],
|
|
'meter': {new_meter: data['timestamp']},
|
|
'resource_metadata': resource_metadata,
|
|
'resource_id': data['resource_id'],
|
|
'project_id': data['project_id'], 'user_id': data['user_id']})
|
|
# Here we put entry in HBase with our own timestamp. This is needed
|
|
# when samples arrive out-of-order
|
|
# If we use timestamp=data['timestamp'] the newest data will be
|
|
# automatically 'on the top'. It is needed to keep metadata
|
|
# up-to-date: metadata from newest samples is considered as actual.
|
|
ts = int(time.mktime(data['timestamp'].timetuple()) * 1000)
|
|
resource_table.put(hbase_utils.encode_unicode(data['resource_id']),
|
|
resource, ts)
|
|
|
|
# Rowkey consists of reversed timestamp, meter and a
|
|
# message signature for purposes of uniqueness
|
|
row = hbase_utils.prepare_key(data['counter_name'], rts,
|
|
data['message_signature'])
|
|
record = hbase_utils.serialize_entry(
|
|
data, **{'source': data['source'], 'rts': rts,
|
|
'message': data, 'recorded_at': timeutils.utcnow()})
|
|
meter_table.put(row, record)
|
|
|
|
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 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 ge, gt.
|
|
: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 ceilometer.NotImplementedError('Pagination not implemented')
|
|
|
|
q = hbase_utils.make_query(metaquery=metaquery, user_id=user,
|
|
project_id=project,
|
|
resource_id=resource, source=source)
|
|
q = hbase_utils.make_meter_query_for_resource(start_timestamp,
|
|
start_timestamp_op,
|
|
end_timestamp,
|
|
end_timestamp_op,
|
|
source, q)
|
|
with self.conn_pool.connection() as conn:
|
|
resource_table = conn.table(self.RESOURCE_TABLE)
|
|
LOG.debug(_("Query Resource table: %s") % q)
|
|
for resource_id, data in resource_table.scan(filter=q):
|
|
f_res, sources, meters, md = hbase_utils.deserialize_entry(
|
|
data)
|
|
resource_id = hbase_utils.encode_unicode(resource_id)
|
|
# Unfortunately happybase doesn't keep ordered result from
|
|
# HBase. So that's why it's needed to find min and max
|
|
# manually
|
|
first_ts = min(meters, key=operator.itemgetter(1))[1]
|
|
last_ts = max(meters, key=operator.itemgetter(1))[1]
|
|
source = meters[0][0][1]
|
|
# If we use QualifierFilter then HBase returnes only
|
|
# qualifiers filtered by. It will not return the whole entry.
|
|
# That's why if we need to ask additional qualifiers manually.
|
|
if 'project_id' not in f_res and 'user_id' not in f_res:
|
|
row = resource_table.row(
|
|
resource_id, columns=['f:project_id', 'f:user_id',
|
|
'f:resource_metadata'])
|
|
f_res, _s, _m, md = hbase_utils.deserialize_entry(row)
|
|
yield models.Resource(
|
|
resource_id=resource_id,
|
|
first_sample_timestamp=first_ts,
|
|
last_sample_timestamp=last_ts,
|
|
project_id=f_res['project_id'],
|
|
source=source,
|
|
user_id=f_res['user_id'],
|
|
metadata=md)
|
|
|
|
def get_meters(self, user=None, project=None, resource=None, source=None,
|
|
metaquery=None, pagination=None):
|
|
"""Return an iterable of 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 resource filter.
|
|
:param source: Optional source filter.
|
|
:param metaquery: Optional dict with metadata to match on.
|
|
:param pagination: Optional pagination query.
|
|
"""
|
|
|
|
metaquery = metaquery or {}
|
|
|
|
if pagination:
|
|
raise ceilometer.NotImplementedError(
|
|
_('Pagination not implemented'))
|
|
with self.conn_pool.connection() as conn:
|
|
resource_table = conn.table(self.RESOURCE_TABLE)
|
|
q = hbase_utils.make_query(metaquery=metaquery, user_id=user,
|
|
project_id=project,
|
|
resource_id=resource,
|
|
source=source)
|
|
LOG.debug(_("Query Resource table: %s") % q)
|
|
|
|
gen = resource_table.scan(filter=q)
|
|
# We need result set to be sure that user doesn't receive several
|
|
# same meters. Please see bug
|
|
# https://bugs.launchpad.net/ceilometer/+bug/1301371
|
|
result = set()
|
|
for ignored, data in gen:
|
|
flatten_result, s, meters, md = hbase_utils.deserialize_entry(
|
|
data)
|
|
for m in meters:
|
|
_m_rts, m_source, name, m_type, unit = m[0]
|
|
meter_dict = {'name': name,
|
|
'type': m_type,
|
|
'unit': unit,
|
|
'resource_id': flatten_result['resource_id'],
|
|
'project_id': flatten_result['project_id'],
|
|
'user_id': flatten_result['user_id']}
|
|
frozen_meter = frozenset(meter_dict.items())
|
|
if frozen_meter in result:
|
|
continue
|
|
result.add(frozen_meter)
|
|
meter_dict.update({'source': m_source
|
|
if m_source else None})
|
|
|
|
yield models.Meter(**meter_dict)
|
|
|
|
def get_samples(self, sample_filter, limit=None):
|
|
"""Return an iterable of models.Sample instances.
|
|
|
|
:param sample_filter: Filter.
|
|
:param limit: Maximum number of results to return.
|
|
"""
|
|
if limit == 0:
|
|
return
|
|
with self.conn_pool.connection() as conn:
|
|
meter_table = conn.table(self.METER_TABLE)
|
|
q, start, stop, columns = (hbase_utils.
|
|
make_sample_query_from_filter
|
|
(sample_filter, require_meter=False))
|
|
LOG.debug(_("Query Meter Table: %s") % q)
|
|
gen = meter_table.scan(filter=q, row_start=start, row_stop=stop,
|
|
limit=limit, columns=columns)
|
|
for ignored, meter in gen:
|
|
d_meter = hbase_utils.deserialize_entry(meter)[0]
|
|
d_meter['message']['recorded_at'] = d_meter['recorded_at']
|
|
yield models.Sample(**d_meter['message'])
|
|
|
|
@staticmethod
|
|
def _update_meter_stats(stat, meter):
|
|
"""Do the stats calculation on a requested time bucket in stats dict
|
|
|
|
:param stats: dict where aggregated stats are kept
|
|
:param index: time bucket index in stats
|
|
:param meter: meter record as returned from HBase
|
|
:param start_time: query start time
|
|
:param period: length of the time bucket
|
|
"""
|
|
vol = meter['counter_volume']
|
|
ts = meter['timestamp']
|
|
stat.unit = meter['counter_unit']
|
|
stat.min = min(vol, stat.min or vol)
|
|
stat.max = max(vol, stat.max)
|
|
stat.sum = vol + (stat.sum or 0)
|
|
stat.count += 1
|
|
stat.avg = (stat.sum / float(stat.count))
|
|
stat.duration_start = min(ts, stat.duration_start or ts)
|
|
stat.duration_end = max(ts, stat.duration_end or ts)
|
|
stat.duration = (timeutils.delta_seconds(stat.duration_start,
|
|
stat.duration_end))
|
|
|
|
def get_meter_statistics(self, sample_filter, period=None, groupby=None,
|
|
aggregate=None):
|
|
"""Return an iterable of models.Statistics instances.
|
|
|
|
Items are containing meter statistics described by the query
|
|
parameters. The filter must have a meter value set.
|
|
|
|
.. note::
|
|
|
|
Due to HBase limitations the aggregations are implemented
|
|
in the driver itself, therefore this method will be quite slow
|
|
because of all the Thrift traffic it is going to create.
|
|
"""
|
|
if groupby:
|
|
raise ceilometer.NotImplementedError("Group by not implemented.")
|
|
|
|
if aggregate:
|
|
raise ceilometer.NotImplementedError(
|
|
'Selectable aggregates not implemented')
|
|
|
|
with self.conn_pool.connection() as conn:
|
|
meter_table = conn.table(self.METER_TABLE)
|
|
q, start, stop, columns = (hbase_utils.
|
|
make_sample_query_from_filter
|
|
(sample_filter))
|
|
# These fields are used in statistics' calculating
|
|
columns.extend(['f:timestamp', 'f:counter_volume',
|
|
'f:counter_unit'])
|
|
meters = map(hbase_utils.deserialize_entry,
|
|
list(meter for (ignored, meter) in
|
|
meter_table.scan(
|
|
filter=q, row_start=start,
|
|
row_stop=stop, columns=columns)))
|
|
|
|
if sample_filter.start_timestamp:
|
|
start_time = sample_filter.start_timestamp
|
|
elif meters:
|
|
start_time = meters[-1][0]['timestamp']
|
|
else:
|
|
start_time = None
|
|
|
|
if sample_filter.end_timestamp:
|
|
end_time = sample_filter.end_timestamp
|
|
elif meters:
|
|
end_time = meters[0][0]['timestamp']
|
|
else:
|
|
end_time = None
|
|
|
|
results = []
|
|
|
|
if not period:
|
|
period = 0
|
|
period_start = start_time
|
|
period_end = end_time
|
|
|
|
# As our HBase meters are stored as newest-first, we need to iterate
|
|
# in the reverse order
|
|
for meter in meters[::-1]:
|
|
ts = meter[0]['timestamp']
|
|
if period:
|
|
offset = int(timeutils.delta_seconds(
|
|
start_time, ts) / period) * period
|
|
period_start = start_time + datetime.timedelta(0, offset)
|
|
|
|
if not results or not results[-1].period_start == period_start:
|
|
if period:
|
|
period_end = period_start + datetime.timedelta(
|
|
0, period)
|
|
results.append(
|
|
models.Statistics(unit='',
|
|
count=0,
|
|
min=0,
|
|
max=0,
|
|
avg=0,
|
|
sum=0,
|
|
period=period,
|
|
period_start=period_start,
|
|
period_end=period_end,
|
|
duration=None,
|
|
duration_start=None,
|
|
duration_end=None,
|
|
groupby=None)
|
|
)
|
|
self._update_meter_stats(results[-1], meter[0])
|
|
return results
|