1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
|
#!/usr/bin/env python
#
# Copyright 2015 the V8 project authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""This script is used to analyze GCTracer's NVP output."""
from argparse import ArgumentParser
from copy import deepcopy
from gc_nvp_common import split_nvp
from math import log
from sys import stdin
class LinearBucket:
def __init__(self, granularity):
self.granularity = granularity
def value_to_bucket(self, value):
return int(value / self.granularity)
def bucket_to_range(self, bucket):
return (bucket * self.granularity, (bucket + 1) * self.granularity)
class Log2Bucket:
def __init__(self, start):
self.start = int(log(start, 2)) - 1
def value_to_bucket(self, value):
index = int(log(value, 2))
index -= self.start
if index < 0:
index = 0
return index
def bucket_to_range(self, bucket):
if bucket == 0:
return (0, 2 ** (self.start + 1))
bucket += self.start
return (2 ** bucket, 2 ** (bucket + 1))
class Histogram:
def __init__(self, bucket_trait, fill_empty):
self.histogram = {}
self.fill_empty = fill_empty
self.bucket_trait = bucket_trait
def add(self, key):
index = self.bucket_trait.value_to_bucket(key)
if index not in self.histogram:
self.histogram[index] = 0
self.histogram[index] += 1
def __str__(self):
ret = []
keys = self.histogram.keys()
keys.sort()
last = keys[len(keys) - 1]
for i in range(0, last + 1):
(min_value, max_value) = self.bucket_trait.bucket_to_range(i)
if i == keys[0]:
keys.pop(0)
ret.append(" [{0},{1}[: {2}".format(
str(min_value), str(max_value), self.histogram[i]))
else:
if self.fill_empty:
ret.append(" [{0},{1}[: {2}".format(
str(min_value), str(max_value), 0))
return "\n".join(ret)
class Category:
def __init__(self, key, histogram):
self.key = key
self.values = []
self.histogram = histogram
def process_entry(self, entry):
if self.key in entry:
self.values.append(float(entry[self.key]))
if self.histogram:
self.histogram.add(float(entry[self.key]))
def min(self):
return min(self.values)
def max(self):
return max(self.values)
def avg(self):
return sum(self.values) / len(self.values)
def __str__(self):
ret = [self.key]
ret.append(" len: {0}".format(len(self.values)))
if len(self.values) > 0:
ret.append(" min: {0}".format(min(self.values)))
ret.append(" max: {0}".format(max(self.values)))
ret.append(" avg: {0}".format(sum(self.values) / len(self.values)))
if self.histogram:
ret.append(str(self.histogram))
return "\n".join(ret)
def __repr__(self):
return "<Category: {0}>".format(self.key)
def make_key_func(cmp_metric):
def key_func(a):
return getattr(a, cmp_metric)()
return key_func
def main():
parser = ArgumentParser(description="Process GCTracer's NVP output")
parser.add_argument('keys', metavar='KEY', type=str, nargs='+',
help='the keys of NVPs to process')
parser.add_argument('--histogram-type', metavar='<linear|log2>',
type=str, nargs='?', default="linear",
help='histogram type to use (default: linear)')
linear_group = parser.add_argument_group('linear histogram specific')
linear_group.add_argument('--linear-histogram-granularity',
metavar='GRANULARITY', type=int, nargs='?',
default=5,
help='histogram granularity (default: 5)')
log2_group = parser.add_argument_group('log2 histogram specific')
log2_group.add_argument('--log2-histogram-init-bucket', metavar='START',
type=int, nargs='?', default=64,
help='initial buck size (default: 64)')
parser.add_argument('--histogram-omit-empty-buckets',
dest='histogram_omit_empty',
action='store_true',
help='omit empty histogram buckets')
parser.add_argument('--no-histogram', dest='histogram',
action='store_false', help='do not print histogram')
parser.set_defaults(histogram=True)
parser.set_defaults(histogram_omit_empty=False)
parser.add_argument('--rank', metavar='<no|min|max|avg>',
type=str, nargs='?',
default="no",
help="rank keys by metric (default: no)")
args = parser.parse_args()
histogram = None
if args.histogram:
bucket_trait = None
if args.histogram_type == "log2":
bucket_trait = Log2Bucket(args.log2_histogram_init_bucket)
else:
bucket_trait = LinearBucket(args.linear_histogram_granularity)
histogram = Histogram(bucket_trait, not args.histogram_omit_empty)
categories = [ Category(key, deepcopy(histogram))
for key in args.keys ]
while True:
line = stdin.readline()
if not line:
break
obj = split_nvp(line)
for category in categories:
category.process_entry(obj)
if args.rank != "no":
categories = sorted(categories, key=make_key_func(args.rank), reverse=True)
for category in categories:
print(category)
if __name__ == '__main__':
main()
|
