1 files changed, 79 insertions, 0 deletions
diff --git a/blob-multiprocess/graph.py b/blob-multiprocess/graph.py
new file mode 100755
index 0000000..f1f832e
--- /dev/null
+++ b/blob-multiprocess/graph.py
@@ -0,0 +1,79 @@
+#!/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)