tools/gc-nvp-trace-processor.py - Issue 3066044: Generalize virtually dispatched scavenger to virtually dispatched specialized visitors.

Unified Diff: tools/gc-nvp-trace-processor.py

Issue 3066044: Generalize virtually dispatched scavenger to virtually dispatched specialized visitors. (Closed)

Patch Set: cleanup Created 10 years, 4 months ago

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Index: tools/gc-nvp-trace-processor.py

diff --git a/tools/gc-nvp-trace-processor.py b/tools/gc-nvp-trace-processor.py

index 44aa0a25fc2371fd45c6143f8789377b0cbc63b2..f1f9dc01c7782e380dfda235330d7225ffa1b37f 100755

--- a/tools/gc-nvp-trace-processor.py

+++ b/tools/gc-nvp-trace-processor.py

@@ -38,7 +38,7 @@

from __future__ import with_statement

-import sys, types, re, subprocess

+import sys, types, re, subprocess, math

def flatten(l):

flat = []

@@ -262,48 +262,57 @@ plots = [

]

+def freduce(f, field, trace, init):

+ return reduce(lambda t,r: f(t, r[field]), trace, init)

def calc_total(trace, field):

- return reduce(lambda t,r: t + r[field], trace, 0)

+ return freduce(lambda t,v: t + v, field, trace, 0)

def calc_max(trace, field):

- return reduce(lambda t,r: max(t, r[field]), trace, 0)

+ return freduce(lambda t,r: max(t, r), field, trace, 0)

-def process_trace(filename):

- trace = parse_gc_trace(filename)

- total_gc = calc_total(trace, 'pause')

- max_gc = calc_max(trace, 'pause')

- avg_gc = total_gc / len(trace)

+def count_nonzero(trace, field):

+ return freduce(lambda t,r: t if r == 0 else t + 1, field, trace, 0)

- total_sweep = calc_total(trace, 'sweep')

- max_sweep = calc_max(trace, 'sweep')

- total_mark = calc_total(trace, 'mark')

- max_mark = calc_max(trace, 'mark')

+def process_trace(filename):

+ trace = parse_gc_trace(filename)

+ marksweeps = filter(lambda r: r['gc'] == 'ms', trace)

+ markcompacts = filter(lambda r: r['gc'] == 'mc', trace)

scavenges = filter(lambda r: r['gc'] == 's', trace)

- total_scavenge = calc_total(scavenges, 'pause')

- max_scavenge = calc_max(scavenges, 'pause')

- avg_scavenge = total_scavenge / len(scavenges)

charts = plot_all(plots, trace, filename)

+ def stats(out, prefix, trace, field):

+ n = len(trace)

+ total = calc_total(trace, field)

+ max = calc_max(trace, field)

+ avg = total / n

+ if n > 1:

+ dev = math.sqrt(freduce(lambda t,r: (r - avg) ** 2, field, trace, 0) /

+ (n - 1))

+ else:

+ dev = 0

+ out.write('<tr><td>%s</td><td>%d</td><td>%d</td>'

+ '<td>%d</td><td>%d [dev %f]</td></tr>' %

+ (prefix, n, total, max, avg, dev))

with open(filename + '.html', 'w') as out:

out.write('<html><body>')

- out.write('<table><tr><td>')

- out.write('Total in GC: %d ' % total_gc)

- out.write('Max in GC: %d ' % max_gc)

- out.write('Avg in GC: %d ' % avg_gc)

- out.write('</td><td>')

- out.write('Total in Scavenge: %d ' % total_scavenge)

- out.write('Max in Scavenge: %d ' % max_scavenge)

- out.write('Avg in Scavenge: %d ' % avg_scavenge)

- out.write('</td><td>')

- out.write('Total in Sweep: %d ' % total_sweep)

- out.write('Max in Sweep: %d ' % max_sweep)

- out.write('</td><td>')

- out.write('Total in Mark: %d ' % total_mark)

- out.write('Max in Mark: %d ' % max_mark)

- out.write('</td></tr></table>')

+ out.write('<table>')

+ out.write('<tr><td>Phase</td><td>Count</td><td>Time (ms)</td><td>Max</td><td>Avg</td></tr>')

+ stats(out, 'Total in GC', trace, 'pause')

+ stats(out, 'Scavenge', scavenges, 'pause')

+ stats(out, 'MarkSweep', marksweeps, 'pause')

+ stats(out, 'MarkCompact', markcompacts, 'pause')

+ stats(out, 'Mark', filter(lambda r: r['mark'] != 0, trace), 'mark')

+ stats(out, 'Sweep', filter(lambda r: r['sweep'] != 0, trace), 'sweep')

+ stats(out, 'Flush Code', filter(lambda r: r['flushcode'] != 0, trace), 'flushcode')

+ stats(out, 'Compact', filter(lambda r: r['compact'] != 0, trace), 'compact')

+ out.write('</table>')

for chart in charts:

out.write('<img src="%s">' % chart)

out.write('</body></html>')

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