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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',
'put',
'list',
'flag',
'get',
'delete',
]
def get_data():
data = {}
with open('results.txt') as f:
for line in f.readlines():
line = line.strip()
if not line:
continue
procs, action, rps = line.split()
if procs not in data:
data[procs] = {}
data[procs][action] = 0
data[procs][action] = float(rps)
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 = [data['1'][action] for action in graphs]
rects1 = ax.bar(ind, vals, width)
vals = [data['2'][action] for action in graphs]
rects2 = ax.bar(ind + width, vals, width)
vals = [data['3'][action] for action in graphs]
rects3 = ax.bar(ind + (2 * width), vals, width)
vals = [data['4'][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 + (1.5 * width))
ax.set_xticklabels(tuple(graphs))
ax.legend(
(rects1[0], rects2[0], rects3[0], rects4[0]),
('1 process', '2 processes', '3 processes', '4 processes'))
ax.grid(True)
plt.savefig('blobs-in-parallel.png')
plt.show()
if __name__ == '__main__':
data = get_data()
plot_data(data)
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