Move benchmark script to scripts subdirectory

1 files changed, 213 insertions, 0 deletions

diff --git a/scripts/serd_bench.py b/scripts/serd_bench.py
new file mode 100755
index 00000000..b34545b0
--- /dev/null
+++ b/scripts/serd_bench.py
@@ -0,0 +1,213 @@
+#!/usr/bin/env python
+
+import csv
+import itertools
+import math
+import matplotlib
+import optparse
+import os
+import subprocess
+import sys
+
+
+class WorkingDirectory:
+    "Scoped context for changing working directory"
+    def __init__(self, working_dir):
+        self.original_dir = os.getcwd()
+        self.working_dir = working_dir
+
+    def __enter__(self):
+        sys.stderr.write("Entering directory `%s'\n" % self.working_dir)
+        os.chdir(self.working_dir)
+        return self
+
+    def __exit__(self, type, value, traceback):
+        sys.stderr.write("Leaving directory `%s'\n" % self.working_dir)
+        os.chdir(self.original_dir)
+
+
+def filename(n):
+    "Filename for a generated file with n statements"
+    return 'gen%d.ttl' % n
+
+
+def gen(sp2b_dir, n_min, n_max, step):
+    "Generate files with n_min ... n_max statements if they are not present"
+    with WorkingDirectory(sp2b_dir) as dir:
+        for n in range(n_min, n_max + step, step):
+            out_path = os.path.join(dir.original_dir, 'build', filename(n))
+            if not os.path.exists(out_path):
+                subprocess.call(['./sp2b_gen', '-t', str(n), out_path])
+
+
+def write_header(results, progs):
+    "Write the header line for TSV output"
+    results.write('n')
+    for prog in progs:
+        results.write('\t' + os.path.basename(prog.split()[0]))
+    results.write('\n')
+
+
+def parse_time(report):
+    "Return user time and max RSS from a /usr/bin/time -v report"
+    time = memory = None
+    for line in report.split('\n'):
+        if line.startswith('\tUser time'):
+            time = float(line[line.find(':') + 1:])
+        elif line.startswith('\tMaximum resident set'):
+            memory = float(line[line.find(':') + 1:]) * 1024
+
+    return (time, memory)
+
+
+def get_dashes():
+    "Generator for plot line dash patterns"
+    dash = 2.0
+    space = dot = 0.75
+
+    yield []             # Solid
+    yield [dash, space]  # Dashed
+    yield [dot, space]   # Dotted
+
+    # Dash-dots, with increasing number of dots for each line
+    for i in itertools.count(2):
+        yield [dash, space] + [dot, space] * (i - 1)
+
+
+def plot(in_file, out_filename, x_label, y_label, y_max=None):
+    "Plot a TSV file as SVG"
+
+    matplotlib.use('agg')
+    import matplotlib.pyplot as plt
+
+    fig_height = 4.0
+    dashes = get_dashes()
+    markers = itertools.cycle(['o', 's', 'v', 'D', '*', 'p', 'P', 'h', 'X'])
+
+    reader = csv.reader(in_file, delimiter='\t')
+    header = next(reader)
+    cols = [x for x in zip(*list(reader))]
+
+    plt.clf()
+    fig = plt.figure(figsize=(fig_height * math.sqrt(2), fig_height))
+    ax = fig.add_subplot(111)
+
+    ax.set_xlabel(x_label)
+    ax.set_ylabel(y_label)
+
+    if y_max is not None:
+        ax.set_ylim([0.0, y_max])
+
+    ax.grid(linewidth=0.25, linestyle=':', color='0', dashes=[0.2, 1.6])
+    ax.ticklabel_format(style='sci', scilimits=(4, 0), useMathText=True)
+    ax.tick_params(axis='both', width=0.75)
+
+    x = list(map(float, cols[0]))
+    for i, y in enumerate(cols[1::]):
+        ax.plot(x,
+                list(map(float, y)),
+                label=header[i + 1],
+                marker=next(markers),
+                dashes=next(dashes),
+                markersize=3.0,
+                linewidth=1.0)
+
+    plt.legend()
+    plt.savefig(out_filename, bbox_inches='tight', pad_inches=0.025)
+    plt.close()
+    sys.stderr.write('wrote {}\n'.format(out_filename))
+
+
+def run(progs, n_min, n_max, step):
+    "Benchmark each program with n_min ... n_max statements"
+    with WorkingDirectory('build'):
+        results = {'time':       open('serdi-time.txt', 'w'),
+                   'throughput': open('serdi-throughput.txt', 'w'),
+                   'memory':     open('serdi-memory.txt', 'w')}
+
+        # Write TSV header for all output files
+        for name, f in results.items():
+            write_header(f, progs)
+
+        for n in range(n_min, n_max + step, step):
+            # Add first column (n) to rows
+            rows = {}
+            for name, _ in results.items():
+                rows[name] = [str(n)]
+
+            # Run each program and fill rows with measurements
+            for prog in progs:
+                cmd = '/usr/bin/time -v ' + prog + ' ' + filename(n)
+                with open(filename(n) + '.out', 'w') as out:
+                    sys.stderr.write(cmd + '\n')
+                    proc = subprocess.Popen(
+                        cmd.split(), stdout=out, stderr=subprocess.PIPE)
+
+                    time, memory = parse_time(proc.communicate()[1].decode())
+                    rows['time'] += ['%.07f' % time]
+                    rows['throughput'] += ['%d' % (n / time)]
+                    rows['memory'] += [str(memory)]
+
+            # Write rows to output files
+            for name, f in results.items():
+                f.write('\t'.join(rows[name]) + '\n')
+
+        for name, f in results.items():
+            tsv_filename = 'serdi-%s.txt' % name
+            sys.stderr.write('wrote %s\n' % tsv_filename)
+
+
+def plot_results():
+    "Plot all benchmark results"
+    with WorkingDirectory('build'):
+        plot(open('serdi-time.txt', 'r'), 'serdi-time.svg',
+             'Statements', 'Time (s)')
+        plot(open('serdi-throughput.txt', 'r'), 'serdi-throughput.svg',
+             'Statements', 'Statements / s')
+        plot(open('serdi-memory.txt', 'r'), 'serdi-memory.svg',
+             'Statements', 'Bytes')
+
+
+if __name__ == "__main__":
+    class OptParser(optparse.OptionParser):
+        def format_epilog(self, formatter):
+            return self.expand_prog_name(self.epilog)
+
+    opt = OptParser(
+        usage='%prog [OPTION]... SP2B_DIR',
+        description='Benchmark RDF reading and writing commands\n',
+        epilog='''
+Example:
+  %prog --max 100000 \\
+      --run 'rapper -i turtle -o turtle' \\
+      --run 'riot --output=ttl' \\
+      --run 'rdfpipe -i turtle -o turtle' /path/to/sp2b/src/
+''')
+
+    opt.add_option('--max', type='int', default=1000000,
+                   help='maximum triple count')
+    opt.add_option('--run', type='string', action='append', default=[],
+                   help='additional command to run (input file is appended)')
+    opt.add_option('--no-generate', action='store_true',
+                   help='do not generate data')
+    opt.add_option('--no-execute', action='store_true',
+                   help='do not run benchmarks')
+    opt.add_option('--no-plot', action='store_true',
+                   help='do not plot benchmarks')
+
+    (options, args) = opt.parse_args()
+    if len(args) != 1:
+        opt.print_usage()
+        sys.exit(1)
+
+    progs = ['serdi -b -f -i turtle -o turtle'] + options.run
+    min_n = int(options.max / 10)
+    max_n = options.max
+    step = min_n
+
+    if not options.no_generate:
+        gen(str(args[0]), min_n, max_n, step)
+    if not options.no_execute:
+        run(progs, min_n, max_n, step)
+    if not options.no_plot:
+        plot_results()