Don't preload rarely seen large images
[chromium-blink-merge.git] / base / metrics / sparse_histogram.cc
blobe5cdb43c04fea1514a032ca3e5c311899a979af4
1 // Copyright (c) 2012 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.
5 #include "base/metrics/sparse_histogram.h"
7 #include "base/metrics/sample_map.h"
8 #include "base/metrics/statistics_recorder.h"
9 #include "base/pickle.h"
10 #include "base/strings/stringprintf.h"
11 #include "base/synchronization/lock.h"
13 namespace base {
15 typedef HistogramBase::Count Count;
16 typedef HistogramBase::Sample Sample;
18 // static
19 HistogramBase* SparseHistogram::FactoryGet(const std::string& name,
20 int32 flags) {
21 HistogramBase* histogram = StatisticsRecorder::FindHistogram(name);
23 if (!histogram) {
24 // To avoid racy destruction at shutdown, the following will be leaked.
25 HistogramBase* tentative_histogram = new SparseHistogram(name);
26 tentative_histogram->SetFlags(flags);
27 histogram =
28 StatisticsRecorder::RegisterOrDeleteDuplicate(tentative_histogram);
30 DCHECK_EQ(SPARSE_HISTOGRAM, histogram->GetHistogramType());
31 return histogram;
34 SparseHistogram::~SparseHistogram() {}
36 HistogramType SparseHistogram::GetHistogramType() const {
37 return SPARSE_HISTOGRAM;
40 bool SparseHistogram::HasConstructionArguments(
41 Sample expected_minimum,
42 Sample expected_maximum,
43 size_t expected_bucket_count) const {
44 // SparseHistogram never has min/max/bucket_count limit.
45 return false;
48 void SparseHistogram::Add(Sample value) {
49 base::AutoLock auto_lock(lock_);
50 samples_.Accumulate(value, 1);
53 scoped_ptr<HistogramSamples> SparseHistogram::SnapshotSamples() const {
54 scoped_ptr<SampleMap> snapshot(new SampleMap());
56 base::AutoLock auto_lock(lock_);
57 snapshot->Add(samples_);
58 return snapshot.Pass();
61 void SparseHistogram::AddSamples(const HistogramSamples& samples) {
62 base::AutoLock auto_lock(lock_);
63 samples_.Add(samples);
66 bool SparseHistogram::AddSamplesFromPickle(PickleIterator* iter) {
67 base::AutoLock auto_lock(lock_);
68 return samples_.AddFromPickle(iter);
71 void SparseHistogram::WriteHTMLGraph(std::string* output) const {
72 output->append("<PRE>");
73 WriteAsciiImpl(true, "<br>", output);
74 output->append("</PRE>");
77 void SparseHistogram::WriteAscii(std::string* output) const {
78 WriteAsciiImpl(true, "\n", output);
81 bool SparseHistogram::SerializeInfoImpl(Pickle* pickle) const {
82 return pickle->WriteString(histogram_name()) && pickle->WriteInt(flags());
85 SparseHistogram::SparseHistogram(const std::string& name)
86 : HistogramBase(name) {}
88 HistogramBase* SparseHistogram::DeserializeInfoImpl(PickleIterator* iter) {
89 std::string histogram_name;
90 int flags;
91 if (!iter->ReadString(&histogram_name) || !iter->ReadInt(&flags)) {
92 DLOG(ERROR) << "Pickle error decoding Histogram: " << histogram_name;
93 return NULL;
96 DCHECK(flags & HistogramBase::kIPCSerializationSourceFlag);
97 flags &= ~HistogramBase::kIPCSerializationSourceFlag;
99 return SparseHistogram::FactoryGet(histogram_name, flags);
102 void SparseHistogram::GetParameters(DictionaryValue* params) const {
103 // TODO(kaiwang): Implement. (See HistogramBase::WriteJSON.)
106 void SparseHistogram::GetCountAndBucketData(Count* count,
107 int64* sum,
108 ListValue* buckets) const {
109 // TODO(kaiwang): Implement. (See HistogramBase::WriteJSON.)
112 void SparseHistogram::WriteAsciiImpl(bool graph_it,
113 const std::string& newline,
114 std::string* output) const {
115 // Get a local copy of the data so we are consistent.
116 scoped_ptr<HistogramSamples> snapshot = SnapshotSamples();
117 Count total_count = snapshot->TotalCount();
118 double scaled_total_count = total_count / 100.0;
120 WriteAsciiHeader(total_count, output);
121 output->append(newline);
123 // Determine how wide the largest bucket range is (how many digits to print),
124 // so that we'll be able to right-align starts for the graphical bars.
125 // Determine which bucket has the largest sample count so that we can
126 // normalize the graphical bar-width relative to that sample count.
127 Count largest_count = 0;
128 Sample largest_sample = 0;
129 scoped_ptr<SampleCountIterator> it = snapshot->Iterator();
130 while (!it->Done()) {
131 Sample min;
132 Sample max;
133 Count count;
134 it->Get(&min, &max, &count);
135 if (min > largest_sample)
136 largest_sample = min;
137 if (count > largest_count)
138 largest_count = count;
139 it->Next();
141 size_t print_width = GetSimpleAsciiBucketRange(largest_sample).size() + 1;
143 // iterate over each item and display them
144 it = snapshot->Iterator();
145 while (!it->Done()) {
146 Sample min;
147 Sample max;
148 Count count;
149 it->Get(&min, &max, &count);
151 // value is min, so display it
152 std::string range = GetSimpleAsciiBucketRange(min);
153 output->append(range);
154 for (size_t j = 0; range.size() + j < print_width + 1; ++j)
155 output->push_back(' ');
157 if (graph_it)
158 WriteAsciiBucketGraph(count, largest_count, output);
159 WriteAsciiBucketValue(count, scaled_total_count, output);
160 output->append(newline);
161 it->Next();
165 void SparseHistogram::WriteAsciiHeader(const Count total_count,
166 std::string* output) const {
167 StringAppendF(output,
168 "Histogram: %s recorded %d samples",
169 histogram_name().c_str(),
170 total_count);
171 if (flags() & ~kHexRangePrintingFlag)
172 StringAppendF(output, " (flags = 0x%x)", flags() & ~kHexRangePrintingFlag);
175 } // namespace base