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#!/usr/bin/python
#
# Copyright (C) 2017 The Android Open Source Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Super simplistic printer of a perfprofd output proto. Illustrates
# how to parse and traverse a perfprofd output proto in Python.
# This relies on libunwindstack's unwind_symbol. Build with
# mmma system/core/libunwindstack
import argparse
from datetime import datetime
import itertools
import json
import logging
from multiprocessing.dummy import Pool as ThreadPool
import os.path
from sorted_collection import SortedCollection
import subprocess
from threading import Timer
# Generate with:
# aprotoc -I=external/perf_data_converter/src/quipper \
# --python_out=system/extras/perfprofd/scripts \
# external/perf_data_converter/src/quipper/perf_data.proto
# aprotoc -I=external/perf_data_converter/src/quipper -I=system/extras/perfprofd \
# --python_out=system/extras/perfprofd/scripts \
# system/extras/perfprofd/perfprofd_record.proto
import perfprofd_record_pb2
import perf_data_pb2
# Make sure that symbol is on the PYTHONPATH, e.g., run as
# PYTHONPATH=$PYTHONPATH:$ANDROID_BUILD_TOP/development/scripts python ...
import symbol
from symbol import SymbolInformation
logging.basicConfig(format='%(message)s')
# This is wrong. But then the symbol module is a bad quagmire.
# TODO: Check build IDs.
symbol.SetAbi(["ABI: 'arm64'"])
class MmapState(object):
def __init__(self):
self._list = SortedCollection((), lambda x: x[0])
def add_map(self, start, length, pgoff, name):
map_tuple = (start, length, pgoff, name)
self._list.insert(map_tuple)
def find(self, addr):
try:
map_tuple = self._list.find_le(addr)
if addr < map_tuple[0] + map_tuple[1]:
return map_tuple
return None
except ValueError:
return None
def copy(self):
ret = MmapState()
ret._list = self._list.copy()
return ret
def __str__(self):
return 'MmapState: ' + self._list.__str__()
def __repr__(self):
return self.__str__()
class SymbolMap(object):
def __init__(self, min_v):
self._list = SortedCollection((), lambda x: x[0])
self._min_vaddr = min_v
def add_symbol(self, start, length, name):
tuple = (start, length, name)
self._list.insert(tuple)
def find(self, addr):
try:
tuple = self._list.find_le(addr)
if addr < tuple[0] + tuple[1]:
return tuple[2]
return None
except ValueError:
return None
def copy(self):
ret = SymbolMap()
ret._list = self._list.copy()
return ret
def __str__(self):
return "SymbolMap: " + self._list.__str__()
def __repr__(self):
return self.__str__()
def intern_uni(u):
return intern(u.encode('ascii', 'replace'))
def collect_tid_names(perf_data):
tid_name_map = {}
for event in perf_data.events:
if event.HasField('comm_event'):
tid_name_map[event.comm_event.tid] = intern_uni(event.comm_event.comm)
return tid_name_map
def create_symbol_maps(profile):
symbol_maps = {}
for si in profile.Extensions[perfprofd_record_pb2.symbol_info]:
map = SymbolMap(si.min_vaddr)
symbol_maps[si.filename] = map
for sym in si.symbols:
map.add_symbol(sym.addr, sym.size, intern_uni(sym.name))
return symbol_maps
def update_mmap_states(event, state_map):
if event.HasField('mmap_event'):
mmap_event = event.mmap_event
# Skip kernel stuff.
if mmap_event.tid == 0:
return
# Create new map, if necessary.
if mmap_event.pid not in state_map:
state_map[mmap_event.pid] = MmapState()
state_map[mmap_event.pid].add_map(mmap_event.start, mmap_event.len, mmap_event.pgoff,
intern_uni(mmap_event.filename))
elif event.HasField('fork_event'):
fork_event = event.fork_event
# Skip threads
if fork_event.pid == fork_event.ppid:
return
if fork_event.ppid not in state_map:
logging.warn("fork from %d without map", fork_event.ppid)
return
state_map[fork_event.pid] = state_map[fork_event.ppid].copy()
skip_dso = set()
vaddr = {}
def find_vaddr(vaddr_map, filename):
if filename in vaddr_map:
return vaddr_map[filename]
path = "%s/%s" % (symbol.SYMBOLS_DIR, filename)
if not os.path.isfile(path):
logging.warn('Cannot find %s for min_vaddr', filename)
vaddr_map[filename] = 0
return 0
try:
# Use "-W" to have single-line format.
res = subprocess.check_output(['readelf', '-lW', path])
lines = res.split("\n")
reading_headers = False
min_vaddr = None
def min_fn(x, y):
return y if x is None else min(x, y)
# Using counting loop for access to next line.
for i in range(0, len(lines) - 1):
line = lines[i].strip()
if reading_headers:
if line == "":
# Block is done, won't find anything else.
break
if line.startswith("LOAD"):
# Look at the current line to distinguish 32-bit from 64-bit
line_split = line.split()
if len(line_split) >= 8:
if " R E " in line:
# Found something expected. So parse VirtAddr.
try:
min_vaddr = min_fn(min_vaddr, int(line_split[2], 0))
except ValueError:
pass
else:
logging.warn('Could not parse readelf line %s', line)
else:
if line.strip() == "Program Headers:":
reading_headers = True
if min_vaddr is None:
min_vaddr = 0
logging.debug("min_vaddr for %s is %d", filename, min_vaddr)
vaddr_map[filename] = min_vaddr
except subprocess.CalledProcessError:
logging.warn('Error finding min_vaddr for %s', filename)
vaddr_map[filename] = 0
return vaddr_map[filename]
unwind_symbols_cache = {}
unwind_symbols_warn_missing_cache = set()
def run_unwind_symbols(filename, offset_hex):
path = "%s/%s" % (symbol.SYMBOLS_DIR, filename)
if not os.path.isfile(path):
if path not in unwind_symbols_warn_missing_cache:
logging.warn('Cannot find %s for unwind_symbols', filename)
unwind_symbols_warn_missing_cache.add(path)
return None
if (path, offset_hex) in unwind_symbols_cache:
pair = unwind_symbols_cache[(path, offset_hex)]
if pair is None:
return None
return [(pair[0], pair[1], filename)]
try:
res = subprocess.check_output(['unwind_symbols', path, offset_hex])
lines = res.split("\n")
for line in lines:
if line.startswith('<0x'):
parts = line.split(' ', 1)
if len(parts) == 2:
# Get offset, too.
offset = 0
plus_index = parts[0].find('>+')
if plus_index > 0:
offset_str = parts[0][plus_index + 2:-1]
try:
offset = int(offset_str)
except ValueError:
logging.warn('error parsing offset from %s', parts[0])
# TODO C++ demangling necessary.
logging.debug('unwind_symbols: %s %s -> %s +%d', filename, offset_hex, parts[1],
offset)
sym = intern(parts[1])
unwind_symbols_cache[(path, offset_hex)] = (sym, offset)
return [(sym, offset, filename)]
except subprocess.CalledProcessError:
logging.warn('Failed running unwind_symbols for %s', filename)
unwind_symbols_cache[(path, offset_hex)] = None
return None
def decode_with_symbol_lib(name, addr_rel_hex):
info = SymbolInformation(name, addr_rel_hex)
# As-is, only info[0] (inner-most inlined function) is recognized.
(source_symbol, source_location, object_symbol_with_offset) = info[0]
def parse_symbol_lib_output(s):
i = s.rfind('+')
if i > 0:
try:
off = int(s[i + 1:])
return (s[0:i], off)
except ValueError:
pass
return (s, 0)
ret = []
if object_symbol_with_offset is not None:
pair = parse_symbol_lib_output(object_symbol_with_offset)
ret.append((intern(pair[0]), pair[1], name))
if source_symbol is not None:
iterinfo = iter(info)
next(iterinfo)
for (sym_inlined, loc_inlined, _) in iterinfo:
# TODO: Figure out what's going on here:
if sym_inlined is not None:
pair = parse_symbol_lib_output(sym_inlined)
ret.insert(0, (intern(pair[0]), pair[1], name))
if len(ret) > 0:
return ret
return None
def decode_addr(addr, mmap_state, device_symbols):
"""Try to decode the given address against the current mmap table and device symbols.
First, look up the address in the mmap state. If none is found, use a simple address
heuristic to guess kernel frames on 64-bit devices.
Next, check on-device symbolization for a hit.
Last, try to symbolize against host information. First try the symbol module. However,
as it is based on addr2line, it will not work for pure-gnu_debugdata DSOs (e.g., ART
preopt artifacts). For that case, use libunwindstack's unwind_symbols.
"""
map = mmap_state.find(addr)
if map is None:
# If it looks large enough, assume it's from
# the kernel.
if addr > 18000000000000000000:
return [("[kernel]", 0, "[kernel]")]
return [("%d (no mapped segment)" % addr, 0, None)]
name = map[3]
logging.debug('%d is %s (%d +%d)', addr, name, map[0], map[1])
# Once relocation packer is off, it would be:
# offset = addr - map.start + map.pgoff
# Right now it is
# offset = addr - map.start (+ min_vaddr)
# Note that on-device symbolization doesn't include min_vaddr but
# does include pgoff.
offset = addr - map[0]
if name in device_symbols:
offset = offset + map[2]
symbol = device_symbols[name].find(offset)
if symbol is None:
return [("%s (missing on-device symbol)" % (name), offset, name)]
else:
# TODO: Should we change the format?
return [(symbol, 0, name)]
offset = offset + find_vaddr(vaddr, name)
if (name, offset) in skip_dso:
# We already failed, skip symbol finding.
return [(name, offset, name)]
else:
addr_rel_hex = intern("%x" % offset)
ret = decode_with_symbol_lib(name, addr_rel_hex)
if ret is not None and len(ret) != 0:
# Addr2line may report oatexec+xyz. Let unwind_symbols take care of that.
if len(ret) != 1 or ret[0][0] != 'oatexec':
logging.debug('Got result from symbol module: %s', str(ret))
return ret
# Try unwind_symbols
ret = run_unwind_symbols(name, addr_rel_hex)
if ret is not None and len(ret) != 0:
return ret
logging.warn("Failed to find symbol for %s +%d (%d)", name, offset, addr)
# Remember the fail.
skip_dso.add((name, offset))
return [(name, offset, name)]
def print_sample(sample, tid_name_map):
if sample[0] in tid_name_map:
pid_name = "%s (%d)" % (tid_name_map[sample[0]], sample[0])
elif sample[0] == 0:
pid_name = "kernel (0)"
else:
pid_name = "unknown (%d)" % (sample[0])
if sample[1] in tid_name_map:
tid_name = "%s (%d)" % (tid_name_map[sample[1]], sample[1])
elif sample[1] == 0:
tid_name = "kernel (0)"
else:
tid_name = "unknown (%d)" % (sample[1])
print " %s - %s:" % (pid_name, tid_name)
for sym in sample[2]:
print " %s +%d (%s)" % (sym[0], sym[1], sym[2])
def print_samples(samples, tid_name_map):
for sample in samples:
print_sample(sample, tid_name_map)
def symbolize_events(perf_data, device_symbols, tid_name_map, printSamples=False,
removeKernelTop=False):
samples = []
mmap_states = {}
for event in perf_data.events:
update_mmap_states(event, mmap_states)
if event.HasField('sample_event'):
sample_ev = event.sample_event
# Handle sample.
new_sample = None
if sample_ev.pid in mmap_states:
mmap_state = mmap_states[sample_ev.pid]
ip_sym = decode_addr(sample_ev.ip, mmap_state, device_symbols)
stack = ip_sym
for cc_ip in sample_ev.callchain:
cc_sym = decode_addr(cc_ip, mmap_state, device_symbols)
stack.extend(cc_sym)
if removeKernelTop:
while len(stack) > 1 and stack[0][0] == "[kernel]":
stack.pop(0)
new_sample = (sample_ev.pid, sample_ev.tid, stack)
else:
# Handle kernel symbols specially.
if sample_ev.pid == 0:
samples.append((0, sample_ev.tid, [("[kernel]", 0, "[kernel]")]))
elif sample_ev.pid in tid_name_map:
samples.append((sample_ev.pid, sample_ev.tid, [(tid_name_map[sample_ev.pid], 0,
None)]))
else:
samples.append((sample_ev.pid, sample_ev.tid, [("[unknown]", 0, None)]))
if new_sample is not None:
samples.append(new_sample)
if printSamples:
print_sample(new_sample, tid_name_map)
return samples
def count_key_reduce_function(x, y, key_fn):
key = key_fn(y)
if key not in x:
x[key] = 0
x[key] += 1
return x
def print_histogram(samples, reduce_key_fn, label_key_fn, size):
# Create a sorted list of top samples.
sorted_count_list = sorted(
reduce(lambda x, y: count_key_reduce_function(x, y, reduce_key_fn), samples, {}).
iteritems(),
cmp=lambda x, y: cmp(x[1], y[1]),
reverse=True)
sorted_count_topX = list(itertools.islice(sorted_count_list, size))
# Print top-size samples.
print 'Histogram top-%d:' % (size)
for i in xrange(0, len(sorted_count_topX)):
print ' %d: %s (%s)' % (i + 1, label_key_fn(sorted_count_topX[i][0]),
sorted_count_topX[i][1])
def get_name(pid, tid_name_map):
if pid in tid_name_map:
return tid_name_map[pid]
if pid == 0:
return "[kernel]"
return "[unknown]"
def create_cmd(args, f):
ret = ['python', '-u', 'system/extras/perfprofd/scripts/perf_proto_stack.py']
if args.syms is not None:
ret.extend(['--syms', args.syms[0]])
if args.print_samples is not None:
ret.append('--print-samples')
if args.skip_kernel_syms is not None:
ret.append('--skip-kernel-syms')
if args.print_pid_histogram is not None:
ret.append('--print-pid-histogram')
if args.print_sym_histogram is not None:
ret.append('--print-sym-histogram')
if args.print_dso_histogram is not None:
ret.append('--print-dso-histogram')
ret.extend(['--json-out', '%s.json' % (f)])
ret.append(f)
return ret
def run_cmd(x):
args = x[0]
f = x[1]
cmd = create_cmd(args, f)
logging.warn('Running on %s', f)
success = False
logging.debug('%r', cmd)
err_out = open('%s.err' % (f), 'w')
def kill(process):
process.kill()
start = datetime.now()
p = subprocess.Popen(cmd, stderr=err_out)
kill_timer = Timer(3600, kill, [p])
try:
kill_timer.start()
p.communicate()
success = True
finally:
kill_timer.cancel()
err_out.close()
end = datetime.now()
logging.warn('Ended %s (%s)', f, str(end - start))
return '%s: %r' % (f, success)
def parallel_runner(args):
pool = ThreadPool(args.parallel)
map_args = map(lambda f: (args, f), args.file)
result = pool.map(run_cmd, map_args)
pool.close()
pool.join()
print result
def run(args):
if args.syms is not None:
symbol.SYMBOLS_DIR = args.syms[0]
print_symbols = args.print_samples is not None
skip_kernel_syms = args.skip_kernel_syms is not None
# TODO: accept argument for parsing.
file = open(args.file[0], 'rb')
data = file.read()
file.close()
profile = perf_data_pb2.PerfDataProto()
# PerfprofdRecord()
profile.ParseFromString(data)
perf_data = profile
print "Stats: ", perf_data.stats
tid_name_map = collect_tid_names(perf_data)
symbol_maps = create_symbol_maps(profile)
samples = symbolize_events(perf_data, symbol_maps, tid_name_map, printSamples=print_symbols,
removeKernelTop=skip_kernel_syms)
if args.print_pid_histogram is not None:
print_histogram(samples, lambda x: x[0], lambda x: get_name(x, tid_name_map), 25)
if args.print_sym_histogram is not None:
print_histogram(samples, lambda x: x[2][0][0], lambda x: x, 100)
if args.print_dso_histogram is not None:
print_histogram(samples, lambda x: x[2][0][2], lambda x: x, 25)
if args.json_out is not None:
json_file = open(args.json_out[0], 'w')
json_data = {'samples': samples, 'names': tid_name_map}
json.dump(json_data, json_file)
json_file.close()
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Process a perfprofd record.')
parser.add_argument('file', help='proto file to parse', metavar='file', nargs='+')
parser.add_argument('--syms', help='directory for symbols', nargs=1)
parser.add_argument('--json-out', help='output file for JSON', nargs=1)
parser.add_argument('--print-samples', help='print samples', action='store_const', const=True)
parser.add_argument('--skip-kernel-syms', help='skip kernel symbols at the top of stack',
action='store_const', const=True)
parser.add_argument('--print-pid-histogram', help='print a top-25 histogram of processes',
action='store_const', const=True)
parser.add_argument('--print-sym-histogram', help='print a top-100 histogram of symbols',
action='store_const', const=True)
parser.add_argument('--print-dso-histogram', help='print a top-25 histogram of maps',
action='store_const', const=True)
parser.add_argument('--parallel', help='run parallel jobs', type=int)
args = parser.parse_args()
if args is not None:
if args.parallel is not None:
parallel_runner(args)
else:
run(args)
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