157 lines
5.4 KiB
Python
157 lines
5.4 KiB
Python
# (C) Copyright 2017 SUSE LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain 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,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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# implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from cassandra.query import BatchStatement
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from cassandra.query import BatchType
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from oslo_log import log
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LOG = log.getLogger(__name__)
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class MetricBatch(object):
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def __init__(self, metadata, load_balance_policy, batch_limit):
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self.metadata = metadata
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self.batch_limit = batch_limit
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self.lb_policy = load_balance_policy
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self.metric_queries = dict()
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self.dimension_queries = dict()
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self.dimension_metric_queries = dict()
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self.metric_dimension_queries = dict()
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self.measurement_queries = dict()
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def batch_query_by_token(self, bound_stmt, query_map):
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token = self.metadata.token_map.token_class.from_key(bound_stmt.routing_key)
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queue = query_map.get(token, None)
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if not queue:
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queue = []
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batch = BatchStatement(BatchType.UNLOGGED)
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batch.add(bound_stmt)
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queue.append((batch, Counter(1)))
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query_map[token] = queue
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else:
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(batch, counter) = queue[-1]
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if counter.value() < self.batch_limit:
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batch.add(bound_stmt)
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counter.increment()
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else:
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batch = BatchStatement(BatchType.UNLOGGED)
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batch.add(bound_stmt)
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queue.append((batch, Counter(1)))
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def add_metric_query(self, bound_stmt):
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self.batch_query_by_token(bound_stmt, self.metric_queries)
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def add_dimension_query(self, bound_stmt):
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self.batch_query_by_token(bound_stmt, self.dimension_queries)
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def add_dimension_metric_query(self, bound_stmt):
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self.batch_query_by_token(bound_stmt, self.dimension_metric_queries)
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def add_metric_dimension_query(self, bound_stmt):
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self.batch_query_by_token(bound_stmt, self.metric_dimension_queries)
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def add_measurement_query(self, bound_stmt):
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self.batch_query_by_replicas(bound_stmt, self.measurement_queries)
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def batch_query_by_replicas(self, bound_stmt, query_map):
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hosts = tuple(
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self.lb_policy.make_query_plan(
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working_keyspace=bound_stmt.keyspace,
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query=bound_stmt))
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queue = query_map.get(hosts, None)
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if not queue:
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queue = []
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batch = BatchStatement(BatchType.UNLOGGED)
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batch.add(bound_stmt)
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queue.append((batch, Counter(1)))
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query_map[hosts] = queue
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else:
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(batch, counter) = queue[-1]
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if counter.value() < 30:
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batch.add(bound_stmt)
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counter.increment()
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else:
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batch = BatchStatement(BatchType.UNLOGGED)
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batch.add(bound_stmt)
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queue.append((batch, Counter(1)))
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def clear(self):
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self.metric_queries.clear()
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self.dimension_queries.clear()
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self.dimension_metric_queries.clear()
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self.metric_dimension_queries.clear()
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self.measurement_queries.clear()
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@staticmethod
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def log_token_batch_map(name, query_map):
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LOG.info('%s : Size: %s; Tokens: |%s|' %
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(name, len(query_map),
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'|'.join(['%s: %s' % (
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token,
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','.join([str(counter.value()) for (batch, counter) in queue]))
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for token, queue in query_map.items()])))
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@staticmethod
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def log_replica_batch_map(name, query_map):
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LOG.info('%s : Size: %s; Replicas: |%s|' %
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(name, len(query_map), '|'.join([
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'%s: %s' % (
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','.join([h.address for h in hosts]),
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','.join([str(counter.value()) for (batch, counter) in queue]))
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for hosts, queue in query_map.items()])))
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def get_all_batches(self):
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self.log_token_batch_map("metric batches", self.metric_queries)
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self.log_token_batch_map("dimension batches", self.dimension_queries)
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self.log_token_batch_map("dimension metric batches", self.dimension_metric_queries)
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self.log_token_batch_map("metric dimension batches", self.metric_dimension_queries)
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self.log_replica_batch_map("measurement batches", self.measurement_queries)
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result_list = []
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for q in self.measurement_queries.values():
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result_list.extend(q)
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for q in self.metric_queries.values():
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result_list.extend(q)
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for q in self.dimension_queries.values():
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result_list.extend(q)
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for q in self.dimension_metric_queries.values():
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result_list.extend(q)
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for q in self.metric_dimension_queries.values():
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result_list.extend(q)
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return result_list
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class Counter(object):
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def __init__(self, init_value=0):
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self._count = init_value
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def increment(self):
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self._count += 1
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def increment_by(self, increment):
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self._count += increment
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def value(self):
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return self._count
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