Version 3.6.5

tools/gc-nvp-trace-processor.py

 #!/usr/bin/env python
 #
 # Copyright 2010 the V8 project authors. All rights reserved.
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions are
 # met:
 #
 #     * Redistributions of source code must retain the above copyright
 #       notice, this list of conditions and the following disclaimer.
 #     * Redistributions in binary form must reproduce the above
@@ skipping 208 matching lines @@
   if r['gc'] == 's':
     # there is no 'other' scope for scavenging collections.
     return 0
   return r['pause'] - r['mark'] - r['sweep'] - r['compact'] - r['external']
 
 def scavenge_scope(r):
   if r['gc'] == 's':
     return r['pause'] - r['external']
   return 0
 
+
+def real_mutator(r):
+  return r['mutator'] - r['stepstook']
+
 plots = [
   [
     Set('style fill solid 0.5 noborder'),
     Set('style histogram rowstacked'),
     Set('style data histograms'),
     Plot(Item('Scavenge', scavenge_scope, lc = 'green'),
          Item('Marking', 'mark', lc = 'purple'),
          Item('Sweep', 'sweep', lc = 'blue'),
          Item('Compaction', 'compact', lc = 'red'),
          Item('External', 'external', lc = '#489D43'),
-         Item('Other', other_scope, lc = 'grey'))
+         Item('Other', other_scope, lc = 'grey'),
+         Item('IGC Steps', 'stepstook', lc = '#FF6347'))
+  ],
+  [
+    Set('style fill solid 0.5 noborder'),
+    Set('style histogram rowstacked'),
+    Set('style data histograms'),
+    Plot(Item('Scavenge', scavenge_scope, lc = 'green'),
+         Item('Marking', 'mark', lc = 'purple'),
+         Item('Sweep', 'sweep', lc = 'blue'),
+         Item('Compaction', 'compact', lc = 'red'),
+         Item('External', 'external', lc = '#489D43'),
+         Item('Other', other_scope, lc = '#ADD8E6'),
+         Item('External', 'external', lc = '#D3D3D3'))
+  ],
+
+  [
+    Plot(Item('Mutator', real_mutator, lc = 'black', style = 'lines'))
   ],
   [
     Set('style histogram rowstacked'),
     Set('style data histograms'),
     Plot(Item('Heap Size (before GC)', 'total_size_before', x1y2,
               fs = 'solid 0.4 noborder',
               lc = 'green'),
          Item('Total holes (after GC)', 'holes_size_before', x1y2,
               fs = 'solid 0.4 noborder',
               lc = 'red'),
@@ skipping 18 matching lines @@
     Plot(Item('Allocated', 'allocated'),
          Item('Reclaimed', reclaimed_bytes),
          Item('Promoted', 'promoted', style = 'lines', lc = 'black'))
   ],
 ]
 
 def freduce(f, field, trace, init):
   return reduce(lambda t,r: f(t, r[field]), trace, init)
 
 def calc_total(trace, field):
-  return freduce(lambda t,v: t + v, field, trace, 0)
+  return freduce(lambda t,v: t + long(v), field, trace, long(0))
 
 def calc_max(trace, field):
   return freduce(lambda t,r: max(t, r), field, trace, 0)
 
 def count_nonzero(trace, field):
   return freduce(lambda t,r: t if r == 0 else t + 1, field, trace, 0)
 
 
 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)
+  globalgcs = filter(lambda r: r['gc'] != 's', trace)
+
 
   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)
     if n > 0:
       avg = total / n
     else:
       avg = 0
     if n > 1:
-      dev = math.sqrt(freduce(lambda t,r: (r - avg) ** 2, field, trace, 0) /
+      dev = math.sqrt(freduce(lambda t,r: t + (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))
 
+  def HumanReadable(size):
+    suffixes = ['bytes', 'kB', 'MB', 'GB']
+    power = 1
+    for i in range(len(suffixes)):
+      if size < power*1024:
+        return "%.1f" % (float(size) / power) + " " + suffixes[i]
+      power *= 1024
+
+  def throughput(name, trace):
+    total_live_after = calc_total(trace, 'total_size_after')
+    total_live_before = calc_total(trace, 'total_size_before')
+    total_gc = calc_total(trace, 'pause')
+    if total_gc == 0:
+      return
+    out.write('GC %s Throughput (after): %s / %s ms = %s/ms<br/>' %
+              (name,
+               HumanReadable(total_live_after),
+               total_gc,
+               HumanReadable(total_live_after / total_gc)))
+    out.write('GC %s Throughput (before): %s / %s ms = %s/ms<br/>' %
+              (name,
+               HumanReadable(total_live_before),
+               total_gc,
+               HumanReadable(total_live_before / total_gc)))
+
 
   with open(filename + '.html', 'w') as out:
     out.write('<html><body>')
     out.write('<table>')
     out.write('<tr><td>Phase</td><td>Count</td><td>Time (ms)</td>')
     out.write('<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, 'Compact', filter(lambda r: r['compact'] != 0, trace), 'compact')
     stats(out,
           'External',
           filter(lambda r: r['external'] != 0, trace),
           'external')
     out.write('</table>')
+    throughput('TOTAL', trace)
+    throughput('MS', marksweeps)
+    throughput('MC', markcompacts)
+    throughput('OLDSPACE', globalgcs)
+    out.write('<br/>')
     for chart in charts:
       out.write('<img src="%s">' % chart)
       out.write('</body></html>')
 
   print "%s generated." % (filename + '.html')
 
 if len(sys.argv) != 2:
   print "Usage: %s <GC-trace-filename>" % sys.argv[0]
   sys.exit(1)
 
 process_trace(sys.argv[1])