FrankYang0529 commented on code in PR #18785: URL: https://github.com/apache/kafka/pull/18785#discussion_r1939367586
########## 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: Originally, I followed other test case to use `isolated_kraft` for `parametrize` and `all_kraft` for `matrix`, but I think we don't need to test both `isolated_kraft` and `combined_kraft` here. Updated it. Thanks. https://github.com/apache/kafka/blob/f6f41dc5ebc0933210c90a520258f89900d67857/tests/kafkatest/sanity_checks/test_verifiable_producer.py#L124 https://github.com/apache/kafka/blob/f6f41dc5ebc0933210c90a520258f89900d67857/tests/kafkatest/sanity_checks/test_verifiable_producer.py#L43-L47 -- 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