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184 lines
8.2 KiB
184 lines
8.2 KiB
# 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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import os |
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import time |
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from ducktape.utils.util import wait_until |
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from ducktape.cluster.remoteaccount import RemoteCommandError |
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from kafkatest.directory_layout.kafka_path import TOOLS_JAR_NAME, TOOLS_DEPENDANT_TEST_LIBS_JAR_NAME |
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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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from kafkatest.services.security.security_config import SecurityConfig |
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from kafkatest.version import DEV_BRANCH, V_0_9_0_0 |
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class ProducerPerformanceService(JmxMixin, PerformanceService): |
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PERSISTENT_ROOT = "/mnt/producer_performance" |
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STDOUT_CAPTURE = os.path.join(PERSISTENT_ROOT, "producer_performance.stdout") |
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STDERR_CAPTURE = os.path.join(PERSISTENT_ROOT, "producer_performance.stderr") |
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LOG_DIR = os.path.join(PERSISTENT_ROOT, "logs") |
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LOG_FILE = os.path.join(LOG_DIR, "producer_performance.log") |
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LOG4J_CONFIG = os.path.join(PERSISTENT_ROOT, "tools-log4j.properties") |
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def __init__(self, context, num_nodes, kafka, topic, num_records, record_size, throughput, version=DEV_BRANCH, settings=None, |
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intermediate_stats=False, client_id="producer-performance", jmx_object_names=None, jmx_attributes=None): |
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JmxMixin.__init__(self, num_nodes, jmx_object_names, jmx_attributes or []) |
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PerformanceService.__init__(self, context, num_nodes) |
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self.logs = { |
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"producer_performance_stdout": { |
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"path": ProducerPerformanceService.STDOUT_CAPTURE, |
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"collect_default": True}, |
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"producer_performance_stderr": { |
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"path": ProducerPerformanceService.STDERR_CAPTURE, |
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"collect_default": True}, |
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"producer_performance_log": { |
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"path": ProducerPerformanceService.LOG_FILE, |
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"collect_default": True}, |
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"jmx_log": { |
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"path": "/mnt/jmx_tool.log", |
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"collect_default": jmx_object_names is not None |
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} |
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} |
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self.kafka = kafka |
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self.security_config = kafka.security_config.client_config() |
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security_protocol = self.security_config.security_protocol |
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assert version >= V_0_9_0_0 or security_protocol == SecurityConfig.PLAINTEXT, \ |
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"Security protocol %s is only supported if version >= 0.9.0.0, version %s" % (self.security_config, str(version)) |
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self.args = { |
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'topic': topic, |
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'kafka_opts': self.security_config.kafka_opts, |
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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 or {} |
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self.intermediate_stats = intermediate_stats |
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self.client_id = client_id |
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for node in self.nodes: |
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node.version = version |
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def start_cmd(self, 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(self.security_config.security_protocol), |
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'jmx_port': self.jmx_port, |
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'client_id': self.client_id, |
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'kafka_run_class': self.path.script("kafka-run-class.sh", node) |
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}) |
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cmd = "" |
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if node.version < DEV_BRANCH: |
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# In order to ensure more consistent configuration between versions, always use the ProducerPerformance |
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# tool from the development branch |
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tools_jar = self.path.jar(TOOLS_JAR_NAME, DEV_BRANCH) |
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tools_dependant_libs_jar = self.path.jar(TOOLS_DEPENDANT_TEST_LIBS_JAR_NAME, DEV_BRANCH) |
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cmd += "for file in %s; do CLASSPATH=$CLASSPATH:$file; done; " % tools_jar |
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cmd += "for file in %s; do CLASSPATH=$CLASSPATH:$file; done; " % tools_dependant_libs_jar |
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cmd += "export CLASSPATH; " |
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cmd += " export KAFKA_LOG4J_OPTS=\"-Dlog4j.configuration=file:%s\"; " % ProducerPerformanceService.LOG4J_CONFIG |
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cmd += "JMX_PORT=%(jmx_port)d KAFKA_OPTS=%(kafka_opts)s KAFKA_HEAP_OPTS=\"-XX:+HeapDumpOnOutOfMemoryError\" %(kafka_run_class)s org.apache.kafka.tools.ProducerPerformance " \ |
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"--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 |
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self.security_config.setup_node(node) |
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if self.security_config.security_protocol != SecurityConfig.PLAINTEXT: |
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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 += " 2>>%s | tee %s" % (ProducerPerformanceService.STDERR_CAPTURE, ProducerPerformanceService.STDOUT_CAPTURE) |
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return cmd |
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def pids(self, node): |
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try: |
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cmd = "jps | grep -i ProducerPerformance | awk '{print $1}'" |
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pid_arr = [pid for pid in node.account.ssh_capture(cmd, allow_fail=True, callback=int)] |
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return pid_arr |
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except (RemoteCommandError, ValueError) as e: |
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return [] |
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def alive(self, node): |
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return len(self.pids(node)) > 0 |
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def _worker(self, idx, node): |
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node.account.ssh("mkdir -p %s" % ProducerPerformanceService.PERSISTENT_ROOT, allow_fail=False) |
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# Create and upload log properties |
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log_config = self.render('tools_log4j.properties', log_file=ProducerPerformanceService.LOG_FILE) |
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node.account.create_file(ProducerPerformanceService.LOG4J_CONFIG, log_config) |
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cmd = self.start_cmd(node) |
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self.logger.debug("Producer performance %d command: %s", idx, cmd) |
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# start ProducerPerformance process |
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start = time.time() |
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producer_output = node.account.ssh_capture(cmd) |
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wait_until(lambda: self.alive(node), timeout_sec=20, err_msg="ProducerPerformance failed to start") |
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# block until there is at least one line of output |
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first_line = next(producer_output, None) |
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if first_line is None: |
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raise Exception("No output from ProducerPerformance") |
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self.start_jmx_tool(idx, node) |
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wait_until(lambda: not self.alive(node), timeout_sec=1200, backoff_sec=2, err_msg="ProducerPerformance failed to finish") |
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elapsed = time.time() - start |
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self.logger.debug("ProducerPerformance process ran for %s seconds" % elapsed) |
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self.read_jmx_output(idx, node) |
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# parse producer output from file |
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last = None |
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producer_output = node.account.ssh_capture("cat %s" % ProducerPerformanceService.STDOUT_CAPTURE) |
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for line in producer_output: |
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if self.intermediate_stats: |
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try: |
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self.stats[idx-1].append(self.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] = self.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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def parse_stats(self, 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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