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#!/usr/bin/env python
import numpy as np
import matplotlib.pyplot as plt
from mpltools import style
style.use('ggplot')
graphs = [
'baseline',
'list',
'put',
'get',
'flag',
'delete',
]
labels = [
'baseline',
'list',
'put',
'put+get',
'put+flag',
'put+delete',
]
def get_data():
data = {}
with open('results.txt') as f:
for line in f.readlines():
procs, action, amount, size, mean = line.split()
if int(amount) != 1000:
continue
if procs not in data:
data[procs] = {}
data[procs][action] = float(mean)
return data
def plot_data(data):
N = 6
ind = np.arange(N) # the x locations for the groups
width = 0.20 # the width of the bars
fig, ax = plt.subplots()
vals = [1000. / data['1'][action] for action in graphs]
rects1 = ax.bar(ind, vals, width)
vals = [1000. / data['2'][action] for action in graphs]
rects2 = ax.bar(ind + width, vals, width)
vals = [1000. / data['4'][action] for action in graphs]
rects3 = ax.bar(ind + (2 * width), vals, width)
vals = [1000. / data['8'][action] for action in graphs]
rects4 = ax.bar(ind + (3 * width), vals, width)
# add some text for labels, title and axes ticks
ax.set_ylabel('Requests per second')
ax.set_title('How multiprocessing affects Blobs Server')
ax.set_xticks(ind + width)
ax.set_xticklabels(tuple(labels))
ax.legend(
(rects1[0], rects2[0], rects3[0], rects4[0]),
('1 process', '2 processes', '4 processes', '8 processes'))
ax.grid()
plt.savefig('blobs-in-parallel.png')
plt.show()
if __name__ == '__main__':
data = get_data()
plot_data(data)
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