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import os
import matplotlib.pyplot as plt
from config import markers, colors
import util
experiments = [f for f in os.listdir('../data')
if f.startswith('memcached_conn_scan') and len(os.listdir(os.path.join('../data', f))) > 0]
def parse_memcached_output(s):
lines = s.split('\n')
qps = int(float(lines[6].split(' ')[3]))
return qps
def parse_perf_stat(s):
lines = s.split('\n')
llc_misses_u = int(list(filter(None, lines[5].split(' ')))[0].replace(',', ''))
llc_misses_k = int(list(filter(None, lines[6].split(' ')))[0].replace(',', ''))
return llc_misses_u + llc_misses_k
def extract_conn_qps_exp(exp):
ret = ([10, 20, 40, 80, 160, 240, 320], [], [], [], [])
(qps_avg, qps_stddev) = util.extract_exp_avg_stddev(exp, 'c%d' % (f,), parse_memcached_output)
ret[1].append(qps_avg)
ret[2].append(qps_stddev)
#with open(os.path.join('../data/', exp, 'c%d.txt' % (f,)), 'r') as fi:
# qps = parse_memcached_output(fi.read())
# ret[1].append(qps)
#with open(os.path.join('../data/', exp, 'stat_c%d.txt' % (f,)), 'r') as fi:
# misses = parse_perf_stat(fi.read()) / (qps * 30)
# ret[2].append(misses)
(misses_avg, misses_stddev) = util.extract_exp_avg_stddev(exp, 'stat_c%d' % (f,), parse_perf_stat)
ret[3].append(misses_avg / (qps_avg * 30))
ret[4].append(misses_stddev / (qps_avg * 30))
return ret
def extract_conn_qps(threads, include_caladan = False):
ret = dict()
for exp in experiments:
split = exp.split('.')
if split[-1] != ('t' + str(threads)):
continue
if split[-2] == 'caladan' and not include_caladan:
continue
name = split[-2]
if name[0].isdigit():
name = 'default'
ret[name] = extract_conn_qps_exp(exp)
return ret
def show_plot(threads, include_caladan = False):
plt.cla()
if include_caladan:
plt.title('Memcached connections vs QPS, %d threads, with Caladan' % (threads,), y = 1.05)
plt.title('Memcached connections vs QPS, %d threads' % (threads,), y = 1.05)
data = extract_conn_qps(threads, include_caladan)
if include_caladan and threads == 1:
# Because we cannot run caladan on 1 threads, we use the t2 data
# but we half the QPS
data[name] = extract_conn_qps_exp('memcached_conn_scan.5.4.0-136-generic.caladan.t2')
data[name] = (data[name][0], [qps / 2 for qps in data[name][1]], [qps / 2 for qps in data[name][2]], data[name][3], data[name][4])
plt.errorbar(data[k][0], data[k][1], yerr = data[k][2], capsize = 4, label = k, marker = markers[k], color = colors[k])
plt.ticklabel_format(axis = 'both', style = 'sci', scilimits = (0, 4))
plt.xlabel('Connections (per client w/ 7 * 8 clients)')
plt.ylabel('QPS')
plt.legend()
if os.getenv('SAVE_FIGURE') != 'true':
plt.rcParams.update({'font.size': 16})
plt.show()
else:
if include_caladan:
plt.savefig('../data/figs/memcached_conn_scan.t%d.caladan.png' % (threads,), dpi = 192)
else:
plt.savefig('../data/figs/memcached_conn_scan.t%d.png' % (threads,), dpi = 192)
plt.cla()
if include_caladan:
plt.title('Memcached connections vs LLC misses, %d threads, with Caladan' % (threads,))
plt.title('Memcached connections vs LLC misses, %d threads' % (threads,))
plt.errorbar(data[k][0], data[k][3], yerr=data[k][4], capsize = 4, label = k, marker = markers[k], color = colors[k])
plt.xlabel('Connections (per client w/ 7 * 8 clients)')
plt.legend()
if os.getenv('SAVE_FIGURE') != 'true':
plt.rcParams.update({'font.size': 16})
plt.show()
else:
if include_caladan:
plt.savefig('../data/figs/memcached_conn_scan.llc_misses.t%d.caladan.png' % (threads,), dpi = 192)
else:
plt.savefig('../data/figs/memcached_conn_scan.llc_misses.t%d.png' % (threads,), dpi = 192)
show_plot(1)
show_plot(1, True)
show_plot(8)
show_plot(8, True)