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Copy pathdedalus_comppaxos_benchmark.py
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dedalus_comppaxos_benchmark.py
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from benchmarks.comppaxos.comppaxos import *
def main(args) -> None:
class Suite(CompPaxosSuite):
def __init__(self, args) -> None:
self._args = args
super().__init__()
def args(self) -> Dict[Any, Any]:
return vars(self._args)
def cluster_spec(self) -> Dict[str, Dict[str, int]]:
return {
# Max across any benchmark
'1': {
'leaders': 2,
'replicas': 4,
'clients': 7,
'acceptors': 4,
'proxy_leaders': 10,
},
}
def inputs(self) -> Collection[Input]:
return [
Input(
f = 1,
num_client_procs = num_client_procs,
num_warmup_clients_per_proc = num_clients_per_proc,
num_clients_per_proc = num_clients_per_proc,
num_leaders = 2,
num_acceptor_rows = num_acceptor_rows,
num_acceptor_columns = num_acceptor_columns,
num_replicas = num_replicas,
num_proxy_leaders = num_proxy_leaders,
client_jvm_heap_size = '8g',
replica_jvm_heap_size = '12g',
measurement_group_size = 10,
start_lag = datetime.timedelta(seconds=0),
warmup_duration = datetime.timedelta(seconds=25),
warmup_timeout = datetime.timedelta(seconds=30),
warmup_sleep = datetime.timedelta(seconds=5),
duration = datetime.timedelta(seconds=60),
timeout = datetime.timedelta(seconds=65),
client_lag = datetime.timedelta(seconds=5),
state_machine = 'KeyValueStore',
# state_machine = 'Noop',
predetermined_read_fraction = -1,
workload_label = 'write_only',
workload =
read_write_workload.UniformReadWriteWorkload(
num_keys=1,
read_fraction=0.0,
write_size_mean=value_size,
write_size_std=0),
read_workload =
read_write_workload.UniformReadWriteWorkload(
num_keys=1,
read_fraction=1.0,
write_size_mean=value_size,
write_size_std=0),
write_workload =
read_write_workload.UniformReadWriteWorkload(
num_keys=1,
read_fraction=0.0,
write_size_mean=value_size,
write_size_std=0),
read_consistency = 'linearizable',
profiled = args.profile,
monitored = args.monitor,
prometheus_scrape_interval =
datetime.timedelta(milliseconds=200),
leader_options = LeaderOptions(
flush_every_n = leader_flush_every_n,
p1a_node_0_timeout = 300,
p1a_other_nodes_timeout = 60000,
i_am_leader_resend_timeout = 2000,
i_am_leader_check_timeout = 5000,
),
replica_options = ReplicaOptions(
log_grow_size = 5000,
unsafe_dont_use_client_table = False,
send_chosen_watermark_every_n_entries = 100,
recover_log_entry_min_period = \
datetime.timedelta(seconds=2),
recover_log_entry_max_period = \
datetime.timedelta(seconds=5),
unsafe_dont_recover = False,
),
replica_log_level = args.log_level,
client_options = ClientOptions(
resend_client_request_period =
datetime.timedelta(seconds=1),
resend_max_slot_requests_period =
datetime.timedelta(seconds=1),
resend_read_request_period =
datetime.timedelta(seconds=1),
resend_sequential_read_request_period =
datetime.timedelta(seconds=1),
resend_eventual_read_request_period =
datetime.timedelta(seconds=1),
unsafe_read_at_first_slot = False,
unsafe_read_at_i = False,
flush_writes_every_n = 1,
flush_reads_every_n = 1,
),
client_log_level = args.log_level,
flexible = True,
)
for value_size in [16]
for num_acceptor_rows in [2]
for num_acceptor_columns in [2]
for num_replicas in [4]
for num_proxy_leaders in [10]
for (num_client_procs, num_clients_per_proc, leader_flush_every_n) in [
(1, 1, 1),
(1, 50, 10),
(1, 100, 10),
(2, 100, 10),
(3, 100, 10),
(4, 100, 10),
(5, 100, 10),
(6, 100, 10),
(7, 100, 10),
# (8, 100, 10),
# (9, 100, 10),
# (10, 100, 10),
]
] * 3
def summary(self, input: Input, output: Output) -> str:
return str({
'f': input.f,
'value_size': input.workload,
'num_client_procs': input.num_client_procs,
'num_clients_per_proc': input.num_clients_per_proc,
'num_acceptor_rows': input.num_acceptor_rows,
'num_acceptor_columns': input.num_acceptor_columns,
'num_proxy_leaders': input.num_proxy_leaders,
'num_replicas': input.num_replicas,
'leader_flush_every_n': input.leader_options.flush_every_n,
'write.latency.median_ms': f'{output.write_output.latency.median_ms:.6}',
'write.start_throughput_1s.p90': f'{output.write_output.start_throughput_1s.p90:.8}',
})
suite = Suite(args)
with benchmark.SuiteDirectory(args.suite_directory,
'comppaxos_lt_dedalus') as dir:
suite.run_suite(dir)
if __name__ == '__main__':
main(get_parser().parse_args())