grpc/tools/profile_analyzer/profile_analyzer.py

#!/usr/bin/env python
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"""
Read GRPC basic profiles, analyze the data.

Usage:
  bins/basicprof/qps_smoke_test > log
  cat log | tools/profile_analyzer/profile_analyzer.py
"""


import collections
import re
import sys

# Create a regex to parse output of the C core basic profiler,
# as defined in src/core/profiling/basic_timers.c.
_RE_LINE = re.compile(r'GRPC_LAT_PROF ' +
                      r'([0-9]+\.[0-9]+) 0x([0-9a-f]+) ([{}.]) ([0-9]+) ' +
                      r'([^ ]+) ([^ ]+) ([0-9]+)')

Entry = collections.namedtuple(
    'Entry',
    ['time', 'thread', 'type', 'tag', 'id', 'file', 'line'])

def entries():
  for line in sys.stdin:
    m = _RE_LINE.match(line)
    if not m: continue
    yield Entry(time=float(m.group(1)),
                thread=m.group(2),
                type=m.group(3),
                tag=int(m.group(4)),
                id=m.group(5),
                file=m.group(6),
                line=m.group(7))

threads = collections.defaultdict(lambda: collections.defaultdict(list))
times = collections.defaultdict(list)

for entry in entries():
  thread = threads[entry.thread]
  if entry.type == '{':
    thread[entry.tag].append(entry)
  elif entry.type == '}':
    last = thread[entry.tag].pop()
    times[entry.tag].append(entry.time - last.time)

def percentile(vals, pct):
  return sorted(vals)[int(len(vals) * pct / 100.0)]

print 'tag 50%/90%/95%/99% us'
for tag in sorted(times.keys()):
  vals = times[tag]
  print '%d %.2f/%.2f/%.2f/%.2f' % (tag, 
                                    percentile(vals, 50),
                                    percentile(vals, 90),
                                    percentile(vals, 95),
                                    percentile(vals, 99))