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run_experiments.py
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import os
import subprocess
benchmark = "tpcc"
database = "epic"
num_warehouses = 1
skew_factor = 0.0
fullread = "true"
cpu_exec_num_threads = 32
num_epochs = 5
num_txns = 100000
split_fields = "true"
commutative_ops = "false"
num_records = 10000000
exec_device = "gpu"
num_repeat = 3
epic_driver_path = "./build/epic_driver"
epic_micro_driver_path = "./build/micro_driver"
output_path = "./epic_output"
cmd_template = "{} -b {} -d {} -w {} -a {} -r {} -c {} -e {} -s {} -f {} -m {} -n {} -x {}"
output_file_template = "output__b{}__d{}__w{}__a{}__r{}__c{}__e{}__s{}__f{}__m{}__n{}__x{}__r{}.txt"
micro_cmd_template = "{} -b {} -d {} -w {} -a {} -r {} -c {} -e {} -s {} -f {} -m {} -n {} -x {} -p {}"
micro_output_file_template = "output__b{}__d{}__w{}__a{}__r{}__c{}__e{}__s{}__f{}__m{}__n{}__x{}__p{}__r{}.txt"
def print_experiment_count():
print_experiment_count.count += 1
print("experiment count: ", print_experiment_count.count)
print_experiment_count.count = 0
def epic_ycsb_experiment():
database = "epic"
for split_fields in ["true", "false"]:
for benchmark in ["ycsba", "ycsbb", "ycsbc", "ycsbf"]:
for skew_factor in [0.0, 0.2, 0.4, 0.6, 0.8, 0.9, 0.95, 0.99]:
for repeat in range(0, num_repeat):
print_experiment_count()
cmd = cmd_template.format(epic_driver_path, benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns, split_fields,
commutative_ops, num_records, exec_device)
print(cmd)
command_output = subprocess.run(cmd, capture_output=True, text=True, shell=True)
print(command_output.stdout)
output_filename = output_file_template.format(benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns,
split_fields, commutative_ops, num_records,
exec_device, repeat)
output_filepath = os.path.join(output_path, output_filename)
with open(output_filepath, "w") as output_file:
output_file.write(command_output.stdout)
def epic_tpcc_experiment():
database = "epic"
benchmark = "tpcc"
for num_warehouses in [1, 2, 4, 8, 16, 32, 64]:
for repeat in range(0, num_repeat):
print_experiment_count()
cmd = cmd_template.format(epic_driver_path, benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns, split_fields,
commutative_ops, num_records, exec_device)
print(cmd)
command_output = subprocess.run(cmd, capture_output=True, text=True, shell=True)
print(command_output.stdout)
output_filename = output_file_template.format(benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns,
split_fields, commutative_ops, num_records,
exec_device, repeat)
output_filepath = os.path.join(output_path, output_filename)
with open(output_filepath, "w") as output_file:
output_file.write(command_output.stdout)
def epic_tpcc_full_experiment():
database = "epic"
benchmark = "tpccfull"
for num_warehouses in [1, 2, 4, 8, 16, 32, 64]:
for repeat in range(0, num_repeat):
print_experiment_count()
cmd = cmd_template.format(epic_driver_path, benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns, split_fields,
commutative_ops, num_records, exec_device)
print(cmd)
command_output = subprocess.run(cmd, capture_output=True, text=True, shell=True)
print(command_output.stdout)
output_filename = output_file_template.format(benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns,
split_fields, commutative_ops, num_records,
exec_device, repeat)
output_filepath = os.path.join(output_path, output_filename)
with open(output_filepath, "w") as output_file:
output_file.write(command_output.stdout)
def gacco_ycsb_experiment():
database = "gacco"
num_txns = 32768
for benchmark in ["ycsba", "ycsbb", "ycsbc", "ycsbf"]:
for skew_factor in [0.0, 0.2, 0.4, 0.6, 0.8, 0.9, 0.95, 0.99]:
for repeat in range(0, num_repeat):
print_experiment_count()
cmd = cmd_template.format(epic_driver_path, benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns, split_fields,
commutative_ops, num_records, exec_device)
print(cmd)
command_output = subprocess.run(cmd, capture_output=True, text=True, shell=True)
print(command_output.stdout)
output_filename = output_file_template.format(benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns,
split_fields, commutative_ops, num_records,
exec_device, repeat)
output_filepath = os.path.join(output_path, output_filename)
with open(output_filepath, "w") as output_file:
output_file.write(command_output.stdout)
def gacco_tpcc_experiment():
database = "gacco"
num_txns = 32768
for benchmark in ["tpccn", "tpccp"]:
for commutative_ops in ["true", "false"]:
for num_warehouses in [1, 2, 4, 8, 16, 32, 64]:
for repeat in range(0, num_repeat):
print_experiment_count()
cmd = cmd_template.format(epic_driver_path, benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns, split_fields,
commutative_ops, num_records, exec_device)
print(cmd)
command_output = subprocess.run(cmd, capture_output=True, text=True, shell=True)
print(command_output.stdout)
output_filename = output_file_template.format(benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns,
split_fields, commutative_ops, num_records,
exec_device, repeat)
output_filepath = os.path.join(output_path, output_filename)
with open(output_filepath, "w") as output_file:
output_file.write(command_output.stdout)
def epic_cpu_tpcc_experiment():
database = "epic"
benchmark = "tpcc"
exec_device = "cpu"
for num_warehouses in [1, 2, 4, 8, 16, 32, 64]:
for repeat in range(0, num_repeat):
print_experiment_count()
cmd = cmd_template.format(epic_driver_path, benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns, split_fields,
commutative_ops, num_records, exec_device)
print(cmd)
command_output = subprocess.run(cmd, capture_output=True, text=True, shell=True)
print(command_output.stdout)
output_filename = output_file_template.format(benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns,
split_fields, commutative_ops, num_records,
exec_device, repeat)
output_filepath = os.path.join(output_path, output_filename)
with open(output_filepath, "w") as output_file:
output_file.write(command_output.stdout)
def epic_cpu_tpcc_full_experiment():
database = "epic"
benchmark = "tpccfull"
exec_device = "cpu"
for num_warehouses in [1, 2, 4, 8, 16, 32, 64]:
for repeat in range(0, num_repeat):
print_experiment_count()
cmd = cmd_template.format(epic_driver_path, benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns, split_fields,
commutative_ops, num_records, exec_device)
print(cmd)
command_output = subprocess.run(cmd, capture_output=True, text=True, shell=True)
print(command_output.stdout)
output_filename = output_file_template.format(benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns,
split_fields, commutative_ops, num_records,
exec_device, repeat)
output_filepath = os.path.join(output_path, output_filename)
with open(output_filepath, "w") as output_file:
output_file.write(command_output.stdout)
def epic_cpu_ycsb_experiment():
database = "epic"
exec_device = "cpu"
split_fields = "false"
for benchmark in ["ycsba", "ycsbb", "ycsbc", "ycsbf"]:
for skew_factor in [0.0, 0.2, 0.4, 0.6, 0.8, 0.9, 0.95, 0.99]:
for repeat in range(0, num_repeat):
print_experiment_count()
cmd = cmd_template.format(epic_driver_path, benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns, split_fields,
commutative_ops, num_records, exec_device)
print(cmd)
command_output = subprocess.run(cmd, capture_output=True, text=True, shell=True)
print(command_output.stdout)
output_filename = output_file_template.format(benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns,
split_fields, commutative_ops, num_records,
exec_device, repeat)
output_filepath = os.path.join(output_path, output_filename)
with open(output_filepath, "w") as output_file:
output_file.write(command_output.stdout)
def epic_ycsb_epoch_size_experiment():
database = "epic"
split_fields = "false"
benchmark = "ycsbf"
skew_factor_range = [0.99, 0.0]
num_txns_ranges = [[500, 1000, 2000, 3000, 4000, 5000, 6000, 7000, 8000, 9000, 10000, 12000, 14000, 16000, 18000, 20000, 25000, 30000, 35000, 40000, 45000, 50000, 60000, 70000],
[500, 1000, 2000, 3000, 4000, 5000, 6000, 7000, 8000, 9000, 10000, 12000, 14000, 16000, 18000, 20000, 25000, 30000, 35000, 40000, 45000, 50000, 60000, 70000, 80000, 90000, 100000, 120000, 140000, 160000, 180000, 200000]]
for skew_factor, num_txns_ranges in zip(skew_factor_range, num_txns_ranges):
for num_txns in num_txns_ranges:
for repeat in range(0, num_repeat):
print_experiment_count()
cmd = cmd_template.format(epic_driver_path, benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns, split_fields,
commutative_ops, num_records, exec_device)
print(cmd)
command_output = subprocess.run(cmd, capture_output=True, text=True, shell=True)
print(command_output.stdout)
output_filename = output_file_template.format(benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns,
split_fields, commutative_ops, num_records,
exec_device, repeat)
output_filepath = os.path.join(output_path, output_filename)
with open(output_filepath, "w") as output_file:
output_file.write(command_output.stdout)
def epic_tpcc_epoch_size_experiment():
database = "epic"
benchmark = "tpcc"
num_warehouses_range = [1, 64]
num_txns_ranges = [[500, 1000, 2000, 3000, 4000, 5000, 6000, 7000, 8000, 9000, 10000, 12000, 14000, 16000, 18000, 20000, 25000, 30000, 35000, 40000],
[500, 1000, 2000, 3000, 4000, 5000, 6000, 7000, 8000, 9000, 10000, 12000, 14000, 16000, 18000, 20000, 25000, 30000, 35000, 40000, 45000, 50000, 60000, 70000, 80000, 90000, 100000, 120000, 140000, 160000, 180000, 200000]]
for num_warehouses, num_txns_range in zip(num_warehouses_range, num_txns_ranges):
for num_txns in num_txns_range:
for repeat in range(0, num_repeat):
print_experiment_count()
cmd = cmd_template.format(epic_driver_path, benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns, split_fields,
commutative_ops, num_records, exec_device)
print(cmd)
command_output = subprocess.run(cmd, capture_output=True, text=True, shell=True)
print(command_output.stdout)
output_filename = output_file_template.format(benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns,
split_fields, commutative_ops, num_records,
exec_device, repeat)
output_filepath = os.path.join(output_path, output_filename)
with open(output_filepath, "w") as output_file:
output_file.write(command_output.stdout)
def epic_microbenchmark():
database = "epic"
benchmark = "micro"
skew_factor = 0.8
for abort_rate in [0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50]:
for repeat in range(0, num_repeat):
cmd = micro_cmd_template.format(epic_micro_driver_path, benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns, split_fields,
commutative_ops, num_records, exec_device, abort_rate)
print(cmd)
command_output = subprocess.run(cmd, capture_output=True, text=True, shell=True)
print(command_output.stdout)
output_filename = micro_output_file_template.format(benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns,
split_fields, commutative_ops, num_records,
exec_device, abort_rate, repeat)
output_filepath = os.path.join(output_path, output_filename)
with open(output_filepath, "w") as output_file:
output_file.write(command_output.stdout)
def gacco_tpcc_epoch_size_experiment():
database = "gacco"
num_warehouses_range = [1, 64]
num_txns_ranges = [[500, 1000, 2000, 3000, 4000],
[500, 1000, 2000, 3000, 4000, 5000, 6000, 7000, 8000, 9000, 10000, 12000, 14000, 16000, 18000, 20000, 25000]]
for benchmark in ["tpccn", "tpccp"]:
for num_warehouses, num_txns_range in zip(num_warehouses_range, num_txns_ranges):
for num_txns in num_txns_range:
for repeat in range(0, num_repeat):
print_experiment_count()
cmd = cmd_template.format(epic_driver_path, benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns, split_fields,
commutative_ops, num_records, exec_device)
print(cmd)
command_output = subprocess.run(cmd, capture_output=True, text=True, shell=True)
print(command_output.stdout)
output_filename = output_file_template.format(benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns,
split_fields, commutative_ops, num_records,
exec_device, repeat)
output_filepath = os.path.join(output_path, output_filename)
with open(output_filepath, "w") as output_file:
output_file.write(command_output.stdout)
def gacco_ycsb_epoch_size_experiment():
database = "gacco"
split_fields = "false"
benchmark = "ycsbf"
skew_factor_range = [0.99, 0.0]
num_txns_ranges = [[500, 1000, 2000, 3000, 4000, 5000, 6000],
[500, 1000, 2000, 3000, 4000, 5000, 6000, 7000, 8000, 9000, 10000, 12000, 14000, 16000, 18000, 20000, 25000, 30000, 35000, 40000, 45000]]
for skew_factor, num_txns_ranges in zip(skew_factor_range, num_txns_ranges):
for num_txns in num_txns_ranges:
for repeat in range(0, num_repeat):
print_experiment_count()
cmd = cmd_template.format(epic_driver_path, benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns, split_fields,
commutative_ops, num_records, exec_device)
print(cmd)
command_output = subprocess.run(cmd, capture_output=True, text=True, shell=True)
print(command_output.stdout)
output_filename = output_file_template.format(benchmark, database, num_warehouses, skew_factor,
fullread, cpu_exec_num_threads, num_epochs, num_txns,
split_fields, commutative_ops, num_records,
exec_device, repeat)
output_filepath = os.path.join(output_path, output_filename)
with open(output_filepath, "w") as output_file:
output_file.write(command_output.stdout)
if __name__ == "__main__":
# Check if the directory exists
if not os.path.exists(output_path):
# If not, create the directory
os.makedirs(output_path)
epic_tpcc_full_experiment()
epic_cpu_tpcc_full_experiment()
epic_tpcc_experiment()
epic_cpu_tpcc_experiment()
epic_ycsb_experiment()
epic_cpu_ycsb_experiment()
gacco_ycsb_experiment()
gacco_tpcc_experiment()
epic_ycsb_epoch_size_experiment()
epic_tpcc_epoch_size_experiment()
epic_microbenchmark()
gacco_ycsb_epoch_size_experiment()
gacco_tpcc_epoch_size_experiment()