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import matplotlib.pyplot as plt
import numpy as np
import json
import sys
BAR_WIDTH=0.4
def load_data(filename):
data = {}
with open(filename) as f:
d = json.load(f)
if d == None:
raise Exception("{} has invalid json format".format(filename))
data["Ops/sec"] = []
data["Ops/sec"].append(d["ALL STATS"]["Sets"]["Ops/sec"])
data["Ops/sec"].append(d["ALL STATS"]["Gets"]["Ops/sec"])
data["Latency"] = []
data["Latency"].append(d["ALL STATS"]["Sets"]["Latency"])
data["Latency"].append(d["ALL STATS"]["Gets"]["Latency"])
return data
labels=['Sets(Ops/sec)', 'Gets(Ops/sec)', 'Sets(Latency)', 'Gets(Latency)']
plt.ylabel("Ops / seconds")
data_num = len(sys.argv)-2
factor = (data_num+1) * BAR_WIDTH
datas = []
for i in range(0, data_num):
filename = sys.argv[1+i]
data = load_data(filename)
datas.append(data)
fig = plt.figure()
ax1 = fig.add_subplot()
ax1.set_ylabel("Operations / second")
ax2 = ax1.twinx()
ax2.set_ylabel("latency (ms)")
for i in range(0, data_num):
filename = sys.argv[1+i]
ax1.bar([BAR_WIDTH*i, factor+BAR_WIDTH*i], datas[i]["Ops/sec"], align="edge", edgecolor="black", linewidth=1, width=BAR_WIDTH, label=filename)
for i in range(0, data_num):
filename = sys.argv[1+i]
ax2.bar([factor*2+BAR_WIDTH*i, factor*3+BAR_WIDTH*i], datas[i]["Latency"], align="edge", edgecolor="black", linewidth=1, width=BAR_WIDTH, label=filename)
h1, l1 = ax1.get_legend_handles_labels()
ax1.legend(h1, l1, loc="upper left")
plt.xlim(0, (len(labels)-1)*factor+BAR_WIDTH*data_num)
plt.xticks([x*factor+BAR_WIDTH*data_num/2 for x in range(0, len(labels))], labels)
plt.savefig(sys.argv[1+data_num])
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