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 kafkatest.services.monitor.jmx import JmxMixin
from kafkatest.services.performance import PerformanceService
import itertools
from kafkatest.services.security.security_config import SecurityConfig
from kafkatest.services.kafka.directory import kafka_dir
class ProducerPerformanceService(JmxMixin, PerformanceService):
logs = {
"producer_performance_log": {
"path": "/mnt/producer-performance.log",
"collect_default": True},
}
def __init__(self, context, num_nodes, kafka, topic, num_records, record_size, throughput, settings={},
intermediate_stats=False, client_id="producer-performance", jmx_object_names=None, jmx_attributes=[]):
JmxMixin.__init__(self, num_nodes, jmx_object_names, jmx_attributes)
PerformanceService.__init__(self, context, num_nodes)
self.kafka = kafka
self.security_config = kafka.security_config.client_config()
self.args = {
'topic': topic,
'kafka_opts': self.security_config.kafka_opts,
'num_records': num_records,
'record_size': record_size,
'throughput': throughput
}
self.settings = settings
self.intermediate_stats = intermediate_stats
self.client_id = client_id
def _worker(self, idx, node):
args = self.args.copy()
args.update({
'bootstrap_servers': self.kafka.bootstrap_servers(self.security_config.security_protocol),
'jmx_port': self.jmx_port,
'client_id': self.client_id,
'kafka_directory': kafka_dir(node)
})
cmd = "JMX_PORT=%(jmx_port)d KAFKA_OPTS=%(kafka_opts)s /opt/%(kafka_directory)s/bin/kafka-run-class.sh org.apache.kafka.tools.ProducerPerformance " \
"--topic %(topic)s --num-records %(num_records)d --record-size %(record_size)d --throughput %(throughput)d --producer-props bootstrap.servers=%(bootstrap_servers)s client.id=%(client_id)s" % args
self.security_config.setup_node(node)
if self.security_config.security_protocol != SecurityConfig.PLAINTEXT:
self.settings.update(self.security_config.properties)
for key, value in self.settings.items():
cmd += " %s=%s" % (str(key), str(value))
cmd += " | tee /mnt/producer-performance.log"
self.logger.debug("Producer performance %d command: %s", idx, cmd)
def parse_stats(line):
parts = line.split(',')
return {
'records': int(parts[0].split()[0]),
'records_per_sec': float(parts[1].split()[0]),
'mbps': float(parts[1].split('(')[1].split()[0]),
'latency_avg_ms': float(parts[2].split()[0]),
'latency_max_ms': float(parts[3].split()[0]),
'latency_50th_ms': float(parts[4].split()[0]),
'latency_95th_ms': float(parts[5].split()[0]),
'latency_99th_ms': float(parts[6].split()[0]),
'latency_999th_ms': float(parts[7].split()[0]),
}
last = None
producer_output = node.account.ssh_capture(cmd)
first_line = next(producer_output, None)
if first_line is not None:
self.start_jmx_tool(idx, node)
for line in itertools.chain([first_line], producer_output):
if self.intermediate_stats:
try:
self.stats[idx-1].append(parse_stats(line))
except:
# Sometimes there are extraneous log messages
pass
last = line
try:
self.results[idx-1] = parse_stats(last)
except:
raise Exception("Unable to parse aggregate performance statistics on node %d: %s" % (idx, last))
self.read_jmx_output(idx, node)