Mirror of Apache Kafka
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# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You 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.
from ducktape.services.background_thread import BackgroundThreadService
from kafkatest.directory_layout.kafka_path import KafkaPathResolverMixin
class PerformanceService(KafkaPathResolverMixin, BackgroundThreadService):
def __init__(self, context, num_nodes, stop_timeout_sec=30):
super(PerformanceService, self).__init__(context, num_nodes)
self.results = [None] * self.num_nodes
self.stats = [[] for x in range(self.num_nodes)]
self.stop_timeout_sec = stop_timeout_sec
def stop_node(self, node):
node.account.kill_process("java", clean_shutdown=True, allow_fail=True)
stopped = self.wait_node(node, timeout_sec=self.stop_timeout_sec)
assert stopped, "Node %s: did not stop within the specified timeout of %s seconds" % \
(str(node.account), str(self.stop_timeout_sec))
def clean_node(self, node):
node.account.kill_process("java", clean_shutdown=False, allow_fail=True)
node.account.ssh("rm -rf /mnt/*", allow_fail=False)
def throughput(records_per_sec, mb_per_sec):
"""Helper method to ensure uniform representation of throughput data"""
return {
"records_per_sec": records_per_sec,
"mb_per_sec": mb_per_sec
}
def latency(latency_50th_ms, latency_99th_ms, latency_999th_ms):
"""Helper method to ensure uniform representation of latency data"""
return {
"latency_50th_ms": latency_50th_ms,
"latency_99th_ms": latency_99th_ms,
"latency_999th_ms": latency_999th_ms
}
def compute_aggregate_throughput(perf):
"""Helper method for computing throughput after running a performance service."""
aggregate_rate = sum([r['records_per_sec'] for r in perf.results])
aggregate_mbps = sum([r['mbps'] for r in perf.results])
return throughput(aggregate_rate, aggregate_mbps)