142b1f42b1
Summary: * add run_pokec script because more than one step is required * refactor of plot_throughput script * move all plot scripts under tools/plot Reviewers: mferencevic, teon.banek, mislav.bradac Reviewed By: mferencevic Subscribers: florijan, pullbot, buda Differential Revision: https://phabricator.memgraph.io/D1106
86 lines
3.1 KiB
Python
Executable File
86 lines
3.1 KiB
Python
Executable File
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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'''
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Example usage:
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./pokec_throughput --vendor-references neo4j memgraph \
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--vendor-titles Neo4j Memgraph \
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--results neo_to_plot memgraph_to_plot \
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--plot-title "Pokec small" --window-size 10
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'''
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import json
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import matplotlib.pyplot as plt
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from argparse import ArgumentParser
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COLORS = {
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'memgraph': '#ff7300',
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'neo4j': '#008cc2'
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}
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def parse_args():
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argp = ArgumentParser(description=__doc__)
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argp.add_argument("--vendor-references", nargs="+",
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help="Short references that represent all the "
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"vendors that are going to be "
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"visualized on the plot.")
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argp.add_argument("--vendor-titles", nargs="+",
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help="Vender titles that are going to appear "
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"on the plot, e.g. legend titles.")
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argp.add_argument("--results", nargs="+",
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help="Result files for each vendor")
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argp.add_argument("--plot-title", default="{{Plot title placeholder}}",
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help="Plot title.")
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argp.add_argument("--window-size", type=int, default=1)
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return argp.parse_args()
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def main():
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# Read the arguments.
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args = parse_args()
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# Prepare the datastructure.
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vendors = {}
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for vendor_reference, vendor_title, vendor_results in \
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zip(args.vendor_references, args.vendor_titles, args.results):
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vendors[vendor_reference] = {}
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vendors[vendor_reference]['title'] = vendor_title
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vendors[vendor_reference]['results_path'] = vendor_results
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vendors[vendor_reference]['color'] = COLORS[vendor_reference]
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vendors[vendor_reference]['t'] = [0.0]
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vendors[vendor_reference]['q'] = [0]
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vendors[vendor_reference]['dq/dt'] = [0.0]
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fig, ax = plt.subplots()
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ax.set_ylabel('Throughput (queries per second)')
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ax.set_xlabel('Time (seconds)')
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ax.set_title(args.plot_title)
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# Collect the benchmark data and plot lines.
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print("Pokec throughput")
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for vendor_reference, vendor_data in vendors.items():
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print("Vendor: %s" % vendor_reference)
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with open(vendor_data['results_path']) as results_file:
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results = json.load(results_file)['results'][0]
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# Skip first line which contains titles.
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for measurement in results:
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vendor_data['t'].append(float(measurement['time']))
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vendor_data['q'].append(int(measurement['value']))
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for i in range(1, len(vendor_data['t'])):
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j = max(0, i - args.window_size)
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vendor_data['dq/dt'].append(
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(vendor_data['q'][i] - vendor_data['q'][j]) /
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(vendor_data['t'][i] - vendor_data['t'][j]))
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line1, = ax.plot(vendor_data['t'], vendor_data['dq/dt'], '-',
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linewidth=2, label=vendor_data['title'],
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color=vendor_data['color'])
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ax.legend(loc='lower right')
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plt.grid()
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plt.show()
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if __name__ == '__main__':
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main()
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