# 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)