mirror of https://github.com/grpc/grpc.git
The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
https://grpc.io/
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88 lines
3.2 KiB
88 lines
3.2 KiB
10 years ago
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#!/usr/bin/env python
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# Copyright 2015, Google Inc.
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# All rights reserved.
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are
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# met:
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#
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# * Redistributions of source code must retain the above copyright
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# notice, this list of conditions and the following disclaimer.
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# * Redistributions in binary form must reproduce the above
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# copyright notice, this list of conditions and the following disclaimer
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# in the documentation and/or other materials provided with the
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# distribution.
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# * Neither the name of Google Inc. nor the names of its
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# contributors may be used to endorse or promote products derived from
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# this software without specific prior written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
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# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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"""
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Read GRPC basic profiles, analyze the data.
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Usage:
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bins/basicprof/qps_smoke_test > log
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cat log | tools/profile_analyzer/profile_analyzer.py
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"""
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import collections
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import re
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import sys
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# Create a regex to parse output of the C core basic profiler,
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# as defined in src/core/profiling/basic_timers.c.
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_RE_LINE = re.compile(r'GRPC_LAT_PROF ' +
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r'([0-9]+\.[0-9]+) 0x([0-9a-f]+) ([{}.]) ([0-9]+) ' +
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r'([^ ]+) ([^ ]+) ([0-9]+)')
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Entry = collections.namedtuple(
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'Entry',
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['time', 'thread', 'type', 'tag', 'id', 'file', 'line'])
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def entries():
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for line in sys.stdin:
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m = _RE_LINE.match(line)
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if not m: continue
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yield Entry(time=float(m.group(1)),
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thread=m.group(2),
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type=m.group(3),
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tag=int(m.group(4)),
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id=m.group(5),
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file=m.group(6),
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line=m.group(7))
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threads = collections.defaultdict(lambda: collections.defaultdict(list))
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times = collections.defaultdict(list)
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for entry in entries():
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thread = threads[entry.thread]
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if entry.type == '{':
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thread[entry.tag].append(entry)
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elif entry.type == '}':
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last = thread[entry.tag].pop()
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times[entry.tag].append(entry.time - last.time)
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def percentile(vals, pct):
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return sorted(vals)[int(len(vals) * pct / 100.0)]
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print 'tag 50%/90%/95%/99% us'
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for tag in sorted(times.keys()):
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vals = times[tag]
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print '%d %.2f/%.2f/%.2f/%.2f' % (tag,
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percentile(vals, 50),
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percentile(vals, 90),
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percentile(vals, 95),
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percentile(vals, 99))
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