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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. 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 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 kafkatest.services.monitor.jmx import JmxMixin
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from kafkatest.services.performance import PerformanceService
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import itertools
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from kafkatest.utils.security_config import SecurityConfig
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from kafkatest.services.kafka.directory import kafka_dir
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class ProducerPerformanceService(JmxMixin, PerformanceService):
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logs = {
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"producer_performance_log": {
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"path": "/mnt/producer-performance.log",
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"collect_default": True},
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}
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def __init__(self, context, num_nodes, kafka, security_protocol, topic, num_records, record_size, throughput, settings={},
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intermediate_stats=False, client_id="producer-performance", jmx_object_names=None, jmx_attributes=[]):
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JmxMixin.__init__(self, num_nodes, jmx_object_names, jmx_attributes)
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PerformanceService.__init__(self, context, num_nodes)
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self.kafka = kafka
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self.security_config = SecurityConfig(security_protocol)
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self.security_protocol = security_protocol
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self.args = {
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'topic': topic,
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'num_records': num_records,
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'record_size': record_size,
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'throughput': throughput
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}
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self.settings = settings
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self.intermediate_stats = intermediate_stats
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self.client_id = client_id
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def _worker(self, idx, node):
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args = self.args.copy()
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args.update({
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'bootstrap_servers': self.kafka.bootstrap_servers(),
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'jmx_port': self.jmx_port,
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'client_id': self.client_id,
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'kafka_directory': kafka_dir(node)
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})
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cmd = "JMX_PORT=%(jmx_port)d /opt/%(kafka_directory)s/bin/kafka-run-class.sh org.apache.kafka.tools.ProducerPerformance " \
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"%(topic)s %(num_records)d %(record_size)d %(throughput)d bootstrap.servers=%(bootstrap_servers)s client.id=%(client_id)s" % args
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self.security_config.setup_node(node)
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if self.security_protocol == SecurityConfig.SSL:
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self.settings.update(self.security_config.properties)
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for key, value in self.settings.items():
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cmd += " %s=%s" % (str(key), str(value))
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cmd += " | tee /mnt/producer-performance.log"
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self.logger.debug("Producer performance %d command: %s", idx, cmd)
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def parse_stats(line):
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parts = line.split(',')
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return {
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'records': int(parts[0].split()[0]),
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'records_per_sec': float(parts[1].split()[0]),
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'mbps': float(parts[1].split('(')[1].split()[0]),
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'latency_avg_ms': float(parts[2].split()[0]),
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'latency_max_ms': float(parts[3].split()[0]),
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'latency_50th_ms': float(parts[4].split()[0]),
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'latency_95th_ms': float(parts[5].split()[0]),
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'latency_99th_ms': float(parts[6].split()[0]),
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'latency_999th_ms': float(parts[7].split()[0]),
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}
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last = None
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producer_output = node.account.ssh_capture(cmd)
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first_line = next(producer_output, None)
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if first_line is not None:
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self.start_jmx_tool(idx, node)
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for line in itertools.chain([first_line], producer_output):
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if self.intermediate_stats:
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try:
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self.stats[idx-1].append(parse_stats(line))
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except:
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# Sometimes there are extraneous log messages
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pass
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last = line
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try:
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self.results[idx-1] = parse_stats(last)
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except:
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raise Exception("Unable to parse aggregate performance statistics on node %d: %s" % (idx, last))
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self.read_jmx_output(idx, node)
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