dajac commented on code in PR #18785: URL: https://github.com/apache/kafka/pull/18785#discussion_r1939330162
########## tests/kafkatest/benchmarks/core/benchmark_test.py: ########## @@ -36,47 +35,42 @@ class Benchmark(Test): """ def __init__(self, test_context): super(Benchmark, self).__init__(test_context) - self.num_zk = 1 self.num_brokers = 3 self.topics = { TOPIC_REP_ONE: {'partitions': 6, 'replication-factor': 1}, TOPIC_REP_THREE: {'partitions': 6, 'replication-factor': 3} } - self.zk = ZookeeperService(test_context, self.num_zk) - self.msgs_large = 10000000 self.batch_size = 8*1024 self.buffer_memory = 64*1024*1024 self.msg_sizes = [10, 100, 1000, 10000, 100000] self.target_data_size = 128*1024*1024 self.target_data_size_gb = self.target_data_size/float(1024*1024*1024) - def setUp(self): - self.zk.start() - def start_kafka(self, security_protocol, interbroker_security_protocol, version, tls_version=None): self.kafka = KafkaService( self.test_context, self.num_brokers, - self.zk, security_protocol=security_protocol, + zk=None, security_protocol=security_protocol, interbroker_security_protocol=interbroker_security_protocol, topics=self.topics, version=version, tls_version=tls_version) self.kafka.log_level = "INFO" # We don't DEBUG logging here self.kafka.start() - @cluster(num_nodes=5) - @parametrize(acks=1, topic=TOPIC_REP_ONE) - @parametrize(acks=1, topic=TOPIC_REP_THREE) - @parametrize(acks=-1, topic=TOPIC_REP_THREE) - @matrix(acks=[1], topic=[TOPIC_REP_THREE], message_size=[10, 100, 1000, 10000, 100000], compression_type=["none", "snappy"], security_protocol=['SSL'], tls_version=['TLSv1.2', 'TLSv1.3']) - @matrix(acks=[1], topic=[TOPIC_REP_THREE], message_size=[10, 100, 1000, 10000, 100000], compression_type=["none", "snappy"], security_protocol=['PLAINTEXT']) - @cluster(num_nodes=7) - @parametrize(acks=1, topic=TOPIC_REP_THREE, num_producers=3) + @cluster(num_nodes=9) + @parametrize(acks=1, topic=TOPIC_REP_ONE, metadata_quorum=quorum.isolated_kraft) + @parametrize(acks=1, topic=TOPIC_REP_THREE, metadata_quorum=quorum.isolated_kraft) + @parametrize(acks=-1, topic=TOPIC_REP_THREE, metadata_quorum=quorum.isolated_kraft) + @matrix(acks=[1], topic=[TOPIC_REP_THREE], message_size=[10, 100, 1000, 10000, 100000], + compression_type=["none", "snappy"], security_protocol=['SSL'], tls_version=['TLSv1.2', 'TLSv1.3'], metadata_quorum=quorum.all_kraft) + @matrix(acks=[1], topic=[TOPIC_REP_THREE], message_size=[10, 100, 1000, 10000, 100000], + compression_type=["none", "snappy"], security_protocol=['PLAINTEXT'], metadata_quorum=quorum.all_kraft) + @parametrize(acks=1, topic=TOPIC_REP_THREE, num_producers=3, metadata_quorum=quorum.isolated_kraft) def test_producer_throughput(self, acks, topic, num_producers=1, message_size=DEFAULT_RECORD_SIZE, compression_type="none", security_protocol='PLAINTEXT', tls_version=None, client_version=str(DEV_BRANCH), - broker_version=str(DEV_BRANCH)): + broker_version=str(DEV_BRANCH), metadata_quorum=quorum.zk): Review Comment: nit: It may be better to default to a kraft one. What do you think? ########## tests/kafkatest/benchmarks/core/benchmark_test.py: ########## @@ -36,47 +35,42 @@ class Benchmark(Test): """ def __init__(self, test_context): super(Benchmark, self).__init__(test_context) - self.num_zk = 1 self.num_brokers = 3 self.topics = { TOPIC_REP_ONE: {'partitions': 6, 'replication-factor': 1}, TOPIC_REP_THREE: {'partitions': 6, 'replication-factor': 3} } - self.zk = ZookeeperService(test_context, self.num_zk) - self.msgs_large = 10000000 self.batch_size = 8*1024 self.buffer_memory = 64*1024*1024 self.msg_sizes = [10, 100, 1000, 10000, 100000] self.target_data_size = 128*1024*1024 self.target_data_size_gb = self.target_data_size/float(1024*1024*1024) - def setUp(self): - self.zk.start() - def start_kafka(self, security_protocol, interbroker_security_protocol, version, tls_version=None): self.kafka = KafkaService( self.test_context, self.num_brokers, - self.zk, security_protocol=security_protocol, + zk=None, security_protocol=security_protocol, interbroker_security_protocol=interbroker_security_protocol, topics=self.topics, version=version, tls_version=tls_version) self.kafka.log_level = "INFO" # We don't DEBUG logging here self.kafka.start() - @cluster(num_nodes=5) - @parametrize(acks=1, topic=TOPIC_REP_ONE) - @parametrize(acks=1, topic=TOPIC_REP_THREE) - @parametrize(acks=-1, topic=TOPIC_REP_THREE) - @matrix(acks=[1], topic=[TOPIC_REP_THREE], message_size=[10, 100, 1000, 10000, 100000], compression_type=["none", "snappy"], security_protocol=['SSL'], tls_version=['TLSv1.2', 'TLSv1.3']) - @matrix(acks=[1], topic=[TOPIC_REP_THREE], message_size=[10, 100, 1000, 10000, 100000], compression_type=["none", "snappy"], security_protocol=['PLAINTEXT']) - @cluster(num_nodes=7) - @parametrize(acks=1, topic=TOPIC_REP_THREE, num_producers=3) + @cluster(num_nodes=9) + @parametrize(acks=1, topic=TOPIC_REP_ONE, metadata_quorum=quorum.isolated_kraft) + @parametrize(acks=1, topic=TOPIC_REP_THREE, metadata_quorum=quorum.isolated_kraft) + @parametrize(acks=-1, topic=TOPIC_REP_THREE, metadata_quorum=quorum.isolated_kraft) + @matrix(acks=[1], topic=[TOPIC_REP_THREE], message_size=[10, 100, 1000, 10000, 100000], + compression_type=["none", "snappy"], security_protocol=['SSL'], tls_version=['TLSv1.2', 'TLSv1.3'], metadata_quorum=quorum.all_kraft) + @matrix(acks=[1], topic=[TOPIC_REP_THREE], message_size=[10, 100, 1000, 10000, 100000], + compression_type=["none", "snappy"], security_protocol=['PLAINTEXT'], metadata_quorum=quorum.all_kraft) + @parametrize(acks=1, topic=TOPIC_REP_THREE, num_producers=3, metadata_quorum=quorum.isolated_kraft) Review Comment: What's the reason for using `quorum.isolated_kraft` for some tests and `quorum.all_kraft` for the others? In my opinion, we could use `quorum.isolated_kraft` for all. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: jira-unsubscr...@kafka.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org