Upstream version 5.34.104.0
[platform/framework/web/crosswalk.git] / src / net / disk_cache / histogram_macros.h
1 // Copyright (c) 2011 The Chromium Authors. All rights reserved.
2 // Use of this source code is governed by a BSD-style license that can be
3 // found in the LICENSE file.
4
5 // This file contains macros to simplify histogram reporting from the disk
6 // cache. The main issue is that we want to have separate histograms for each
7 // type of cache (regular vs. media, etc), without adding the complexity of
8 // keeping track of a potentially large number of histogram objects that have to
9 // survive the backend object that created them.
10
11 #ifndef NET_DISK_CACHE_HISTOGRAM_MACROS_H_
12 #define NET_DISK_CACHE_HISTOGRAM_MACROS_H_
13
14 // -----------------------------------------------------------------------------
15
16 // These histograms follow the definition of UMA_HISTOGRAMN_XXX except that
17 // whenever the name changes (the experiment group changes), the histrogram
18 // object is re-created.
19 // Note: These macros are only run on one thread, so the declarations of
20 // |counter| was made static (i.e., there will be no race for reinitialization).
21
22 #define CACHE_HISTOGRAM_CUSTOM_COUNTS(name, sample, min, max, bucket_count) \
23     do { \
24       static base::HistogramBase* counter(NULL); \
25       if (!counter || name != counter->histogram_name()) \
26         counter = base::Histogram::FactoryGet( \
27             name, min, max, bucket_count, \
28             base::Histogram::kUmaTargetedHistogramFlag); \
29       counter->Add(sample); \
30     } while (0)
31
32 #define CACHE_HISTOGRAM_COUNTS(name, sample) CACHE_HISTOGRAM_CUSTOM_COUNTS( \
33     name, sample, 1, 1000000, 50)
34
35 #define CACHE_HISTOGRAM_COUNTS_10000(name, sample) \
36     CACHE_HISTOGRAM_CUSTOM_COUNTS(name, sample, 1, 10000, 50)
37
38 #define CACHE_HISTOGRAM_COUNTS_50000(name, sample) \
39     CACHE_HISTOGRAM_CUSTOM_COUNTS(name, sample, 1, 50000000, 50)
40
41 #define CACHE_HISTOGRAM_CUSTOM_TIMES(name, sample, min, max, bucket_count) \
42     do { \
43       static base::HistogramBase* counter(NULL); \
44       if (!counter || name != counter->histogram_name()) \
45         counter = base::Histogram::FactoryTimeGet( \
46             name, min, max, bucket_count, \
47             base::Histogram::kUmaTargetedHistogramFlag); \
48       counter->AddTime(sample); \
49     } while (0)
50
51 #define CACHE_HISTOGRAM_TIMES(name, sample) CACHE_HISTOGRAM_CUSTOM_TIMES( \
52     name, sample, base::TimeDelta::FromMilliseconds(1), \
53     base::TimeDelta::FromSeconds(10), 50)
54
55 #define CACHE_HISTOGRAM_ENUMERATION(name, sample, boundary_value) do { \
56     static base::HistogramBase* counter(NULL); \
57     if (!counter || name != counter->histogram_name()) \
58       counter = base::LinearHistogram::FactoryGet( \
59                     name, 1, boundary_value, boundary_value + 1, \
60                     base::Histogram::kUmaTargetedHistogramFlag); \
61     counter->Add(sample); \
62   } while (0)
63
64 #define CACHE_HISTOGRAM_PERCENTAGE(name, under_one_hundred) \
65     CACHE_HISTOGRAM_ENUMERATION(name, under_one_hundred, 101)
66
67 // -----------------------------------------------------------------------------
68
69 // HISTOGRAM_HOURS will collect time related data with a granularity of hours
70 // and normal values of a few months.
71 #define CACHE_HISTOGRAM_HOURS CACHE_HISTOGRAM_COUNTS_10000
72
73 // HISTOGRAM_AGE will collect time elapsed since |initial_time|, with a
74 // granularity of hours and normal values of a few months.
75 #define CACHE_HISTOGRAM_AGE(name, initial_time) \
76     CACHE_HISTOGRAM_COUNTS_10000(name, \
77                                  (base::Time::Now() - initial_time).InHours())
78
79 // HISTOGRAM_AGE_MS will collect time elapsed since |initial_time|, with the
80 // normal resolution of the UMA_HISTOGRAM_TIMES.
81 #define CACHE_HISTOGRAM_AGE_MS(name, initial_time)\
82     CACHE_HISTOGRAM_TIMES(name, base::TimeTicks::Now() - initial_time)
83
84 #define CACHE_HISTOGRAM_CACHE_ERROR(name, sample) \
85     CACHE_HISTOGRAM_ENUMERATION(name, sample, 50)
86
87 // Generates a UMA histogram of the given type, generating the proper name for
88 // it (asking backend_->HistogramName), and adding the provided sample.
89 // For example, to generate a regualar UMA_HISTOGRAM_COUNTS, this macro would
90 // be used as:
91 //  CACHE_UMA(COUNTS, "MyName", 0, 20);
92 //  CACHE_UMA(COUNTS, "MyExperiment", 530, 55);
93 // which roughly translates to:
94 //  UMA_HISTOGRAM_COUNTS("DiskCache.2.MyName", 20);  // "2" is the CacheType.
95 //  UMA_HISTOGRAM_COUNTS("DiskCache.2.MyExperiment_530", 55);
96 //
97 #define CACHE_UMA(type, name, experiment, sample) {\
98     const std::string my_name =\
99         CACHE_UMA_BACKEND_IMPL_OBJ->HistogramName(name, experiment);\
100     switch (CACHE_UMA_BACKEND_IMPL_OBJ->cache_type()) {\
101       case net::DISK_CACHE:\
102         CACHE_HISTOGRAM_##type(my_name.data(), sample);\
103         break;\
104       case net::MEDIA_CACHE:\
105         CACHE_HISTOGRAM_##type(my_name.data(), sample);\
106         break;\
107       case net::APP_CACHE:\
108         CACHE_HISTOGRAM_##type(my_name.data(), sample);\
109         break;\
110       case net::SHADER_CACHE:\
111         CACHE_HISTOGRAM_##type(my_name.data(), sample);\
112         break;\
113       case net::PNACL_CACHE:\
114         CACHE_HISTOGRAM_##type(my_name.data(), sample);\
115         break;\
116       default:\
117         NOTREACHED();\
118         break;\
119     }\
120   }
121
122 #endif  // NET_DISK_CACHE_HISTOGRAM_MACROS_H_