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.service import Service
from kafkatest.services.trogdor.task_spec import TaskSpec
class ProduceBenchWorkloadSpec(TaskSpec):
def __init__(self, start_ms, duration_ms, producer_node, bootstrap_servers,
target_messages_per_sec, max_messages, producer_conf,
inactive_topics, active_topics):
super(ProduceBenchWorkloadSpec, self).__init__(start_ms, duration_ms)
self.message["class"] = "org.apache.kafka.trogdor.workload.ProduceBenchSpec"
self.message["producerNode"] = producer_node
self.message["bootstrapServers"] = bootstrap_servers
self.message["targetMessagesPerSec"] = target_messages_per_sec
self.message["maxMessages"] = max_messages
self.message["producerConf"] = producer_conf
self.message["inactiveTopics"] = inactive_topics
self.message["activeTopics"] = active_topics
class ProduceBenchWorkloadService(Service):
def __init__(self, context, kafka):
Service.__init__(self, context, num_nodes=1)
self.bootstrap_servers = kafka.bootstrap_servers(validate=False)
self.producer_node = self.nodes[0].account.hostname
def free(self):
Service.free(self)
def wait_node(self, node, timeout_sec=None):
pass
def stop_node(self, node):
pass
def clean_node(self, node):
pass