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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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