def plot_shard_scaling(results1, results2, outfile):
parsed_results1 = parse_shard_results(results1)
if results2 != None:
parsed_results2 = parse_shard_results(results2)
pyplot.xlabel('Number of shards')
pyplot.ylabel('Average transactions / second')
pyplot.grid(True)
pyplot.errorbar(
range(2,
len(parsed_results1) + 2),
[i[0] for i in parsed_results1],
[i[1] for i in parsed_results1],
marker='o',
#color='black',
)
if results2 != None:
pyplot.errorbar(
range(2,
len(parsed_results2) + 2),
[i[0] for i in parsed_results2],
[i[1] for i in parsed_results2],
marker='o',
#color='black',
)
pyplot.savefig(outfile)
pyplot.close()
def plot_shard_scaling3(results1, results2, outfile):
parsed_results1 = parse_shard_results(results1)
parsed_results2 = parse_shard_results(results2)
pyplot.xlabel('Number of shards')
pyplot.ylabel('Transactions / second')
pyplot.grid(True)
pyplot.errorbar([i for i in range(2,
len(parsed_results1) + 2)],
[i[0] for i in parsed_results1],
[0 for i in parsed_results1],
marker='o',
color='C0',
label='Without defenses')
pyplot.errorbar([i - 0.01 for i in range(2,
len(parsed_results1) + 2)],
[i[0] for i in parsed_results1],
[i[1] for i in parsed_results1],
color='C0',
fmt='')
pyplot.errorbar([i for i in range(2,
len(parsed_results2) + 2)],
[i[0] for i in parsed_results2],
[0 for i in parsed_results2],
marker='s',
color='C1',
label='With defenses')
pyplot.errorbar([i + 0.01 for i in range(2,
len(parsed_results2) + 2)],
[i[0] for i in parsed_results2],
[i[1] for i in parsed_results2],
color='C1',
fmt='')
pyplot.locator_params(nbins=len(parsed_results1))
pyplot.legend(loc=4)
pyplot.savefig(outfile)
pyplot.close()
def plot_shard_scaling2(results1, results2, outfile):
parsed_results1 = parse_shard_results(results1)
parsed_results2 = parse_shard_results(results2)
pyplot.xlabel('Number of shards')
pyplot.ylabel('Average transactions / second')
pyplot.grid(True)
pyplot.errorbar([i for i in range(2,
len(parsed_results1) + 2)],
[i[0] for i in parsed_results1],
[0 for i in parsed_results1],
marker='o',
color='C0',
label='1 input')
pyplot.errorbar([i - 0.03 for i in range(2,
len(parsed_results1) + 2)],
[i[0] for i in parsed_results1],
[i[1] for i in parsed_results1],
color='C0',
fmt='')
pyplot.errorbar([i for i in range(2,
len(parsed_results2) + 2)],
[i[0] for i in parsed_results2],
[0 for i in parsed_results2],
marker='s',
color='C1',
label='2 inputs')
pyplot.errorbar([i + 0.03 for i in range(2,
len(parsed_results2) + 2)],
[i[0] for i in parsed_results2],
[i[1] for i in parsed_results2],
color='C1',
fmt='')
pyplot.legend(loc=4)
pyplot.savefig(outfile)
pyplot.close()
def plot_input_scaling2(results1, results2, outfile):
parsed_results1 = parse_shard_results(results1)
parsed_results2 = parse_shard_results(results2)
pyplot.xlabel('Number of inputs per transaction')
pyplot.ylabel('Transactions / second')
pyplot.grid(True)
pyplot.errorbar([i for i in range(1,
len(parsed_results1) + 1)],
[i[0] for i in parsed_results1],
[0 for i in parsed_results1],
marker='o',
color='C0',
label='Without defenses')
pyplot.errorbar([i - 0.03 for i in range(1,
len(parsed_results1) + 1)],
[i[0] for i in parsed_results1],
[i[1] for i in parsed_results1],
color='C0',
fmt='')
pyplot.errorbar([i for i in range(1,
len(parsed_results2) + 1)],
[i[0] for i in parsed_results2],
[0 for i in parsed_results2],
marker='s',
color='C1',
label='With defenses')
pyplot.errorbar([i + 0.03 for i in range(1,
len(parsed_results2) + 1)],
[i[0] for i in parsed_results2],
[i[1] for i in parsed_results2],
color='C1',
fmt='')
pyplot.legend(loc=4)
pyplot.savefig(outfile)
pyplot.close()
def plot_node_scaling(results, outfile, step):
parsed_results = parse_shard_results(results)
pyplot.xlabel('Number of replicas per shard')
pyplot.ylabel('Average transactions / second')
pyplot.grid(True)
pyplot.errorbar(
range(4, 4 + len(parsed_results) * step, step),
[i[0] for i in parsed_results],
[i[1] for i in parsed_results],
marker='o',
)
pyplot.savefig(outfile)
pyplot.close()
def plot_input_scaling(results, outfile):
parsed_results = parse_shard_results(results)
pyplot.xlabel('Number of inputs per transaction')
pyplot.ylabel('Transactions / second')
pyplot.grid(True)
pyplot.errorbar(
range(1,
len(parsed_results) + 1),
[i[0] for i in parsed_results],
[i[1] for i in parsed_results],
marker='o',
)
pyplot.savefig(outfile)
pyplot.close()
def plot_bano(results, outfile):
parsed_results = parse_shard_results(results)
pyplot.xlabel('Number of dummy inputs per transaction')
pyplot.ylabel('Transactions / second')
pyplot.grid(True)
pyplot.errorbar(
range(1,
len(parsed_results) + 1),
[i[0] for i in parsed_results],
[i[1] for i in parsed_results],
marker='o',
)
pyplot.locator_params(nbins=len(parsed_results))
pyplot.savefig(outfile)
pyplot.close()
