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
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
|
// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#pragma once
#include <vespa/searchlib/attribute/attribute.h>
#include <vespa/searchlib/attribute/attributeguard.h>
#include <vespa/searchlib/attribute/search_context.h>
#include <vespa/searchlib/queryeval/hitcollector.h>
#include <vespa/searchlib/queryeval/executeinfo.h>
#include <vespa/vespalib/stllike/asciistream.h>
#include <vespa/vespalib/util/compress.h>
#include <vespa/searchlib/parsequery/parse.h>
namespace search {
std::unique_ptr<ResultSet>
performSearch(queryeval::SearchIterator & sb, uint32_t numDocs)
{
queryeval::HitCollector hc(numDocs, numDocs);
// assume strict toplevel search object located at start
for (sb.seek(1); ! sb.isAtEnd(); sb.seek(sb.getDocId() + 1)) {
hc.addHit(sb.getDocId(), 0.0);
}
return hc.getResultSet();
}
class AttributeSearcherStatus
{
public:
vespalib::duration _totalSearchTime;
uint64_t _totalHitCount;
uint64_t _numQueries;
uint64_t _numClients;
AttributeSearcherStatus() : _totalSearchTime(0), _totalHitCount(0), _numQueries(0), _numClients(0) {}
void merge(const AttributeSearcherStatus & status) {
_totalSearchTime += status._totalSearchTime;
_totalHitCount += status._totalHitCount;
_numQueries += status._numQueries;
_numClients += status._numClients;
}
void printXML() const {
std::cout << "<total-search-time>" << vespalib::count_ms(_totalSearchTime) << "</total-search-time>" << std::endl; // ms
std::cout << "<avg-search-time>" << avgSearchTime() << "</avg-search-time>" << std::endl; // ms
std::cout << "<search-throughput>" << searchThroughout() << "</search-throughput>" << std::endl; // per/sec
std::cout << "<total-hit-count>" << _totalHitCount << "</total-hit-count>" << std::endl;
std::cout << "<avg-hit-count>" << avgHitCount() << "</avg-hit-count>" << std::endl;
}
double avgSearchTime() const {
return vespalib::count_ms(_totalSearchTime/_numQueries);
}
double searchThroughout() const {
return _numClients * 1000 * _numQueries / (vespalib::count_ns(_totalSearchTime)/1000000.0);
}
double avgHitCount() const {
return _totalHitCount / double(_numQueries);
}
};
class AttributeSearcher
{
protected:
using AttributePtr = AttributeVector::SP;
const AttributePtr & _attrPtr;
vespalib::Timer _timer;
AttributeSearcherStatus _status;
std::thread _thread;
public:
AttributeSearcher(const AttributePtr & attrPtr)
: _attrPtr(attrPtr), _timer(), _status(), _thread()
{
_status._numClients = 1;
}
virtual ~AttributeSearcher();
virtual void doRun() = 0;
void start() { _thread = std::thread([this](){doRun();}); }
void join() { _thread.join(); }
AttributeSearcherStatus & getStatus() { return _status; }
void buildTermQuery(std::vector<char> & buffer, const vespalib::string & index, const char * term, bool prefix = false);
};
AttributeSearcher::~AttributeSearcher() = default;
void
AttributeSearcher::buildTermQuery(std::vector<char> & buffer, const vespalib::string & index, const char * term, bool prefix)
{
uint32_t indexLen = index.size();
uint32_t termLen = strlen(term);
uint32_t termIdx = prefix ? ParseItem::ITEM_PREFIXTERM : ParseItem::ITEM_TERM;
uint32_t queryPacketSize = vespalib::compress::Integer::compressedPositiveLength(termIdx)
+ vespalib::compress::Integer::compressedPositiveLength(indexLen)
+ vespalib::compress::Integer::compressedPositiveLength(termLen)
+ indexLen + termLen;
buffer.resize(queryPacketSize);
char * p = &buffer[0];
p += vespalib::compress::Integer::compressPositive(termIdx, p);
p += vespalib::compress::Integer::compressPositive(indexLen, p);
memcpy(p, index.c_str(), indexLen);
p += indexLen;
p += vespalib::compress::Integer::compressPositive(termLen, p);
memcpy(p, term, termLen);
p += termLen;
assert(p == (&buffer[0] + buffer.size()));
}
template <typename T>
class AttributeFindSearcher : public AttributeSearcher
{
private:
const std::vector<T> & _values;
std::vector<char> _query;
public:
AttributeFindSearcher(const AttributePtr & attrPtr, const std::vector<T> & values,
uint32_t numQueries) :
AttributeSearcher(attrPtr), _values(values), _query()
{
_status._numQueries = numQueries;
}
void doRun() override;
};
template <typename T>
void
AttributeFindSearcher<T>::doRun()
{
_timer = vespalib::Timer();
for (uint32_t i = 0; i < _status._numQueries; ++i) {
// build simple term query
vespalib::asciistream ss;
ss << _values[i % _values.size()].getValue();
this->buildTermQuery(_query, _attrPtr->getName(), ss.str().data());
AttributeGuard guard(_attrPtr);
std::unique_ptr<attribute::SearchContext> searchContext =
_attrPtr->getSearch(vespalib::stringref(&_query[0], _query.size()),
attribute::SearchContextParams());
searchContext->fetchPostings(queryeval::ExecuteInfo::TRUE);
std::unique_ptr<queryeval::SearchIterator> iterator = searchContext->createIterator(nullptr, true);
std::unique_ptr<ResultSet> results = performSearch(*iterator, _attrPtr->getNumDocs());
_status._totalHitCount += results->getNumHits();
}
_status._totalSearchTime += _timer.elapsed();
}
class RangeSpec
{
public:
int64_t _min;
int64_t _max;
int64_t _range;
RangeSpec(int64_t min, int64_t max, int64_t range) :
_min(min), _max(max), _range(range)
{
assert(_min < _max);
assert(_range <= (_max - _min));
}
};
class RangeIterator
{
private:
RangeSpec _spec;
int64_t _a;
int64_t _b;
public:
RangeIterator(const RangeSpec & spec) : _spec(spec), _a(spec._min), _b(spec._min + _spec._range) {}
RangeIterator & operator++() {
_a += _spec._range;
_b += _spec._range;
if (_b > _spec._max) {
_a = _spec._min;
_b = _spec._min + _spec._range;
}
return *this;
}
int64_t a() const { return _a; }
int64_t b() const { return _b; }
};
class AttributeRangeSearcher : public AttributeSearcher
{
private:
RangeSpec _spec;
std::vector<char> _query;
public:
AttributeRangeSearcher(const AttributePtr & attrPtr, const RangeSpec & spec,
uint32_t numQueries) :
AttributeSearcher(attrPtr), _spec(spec), _query()
{
_status._numQueries = numQueries;
}
void doRun() override;
};
void
AttributeRangeSearcher::doRun()
{
_timer = vespalib::Timer();
RangeIterator iter(_spec);
for (uint32_t i = 0; i < _status._numQueries; ++i, ++iter) {
// build simple range term query
vespalib::asciistream ss;
ss << "[" << iter.a() << ";" << iter.b() << "]";
buildTermQuery(_query, _attrPtr->getName(), ss.str().data());
AttributeGuard guard(_attrPtr);
std::unique_ptr<attribute::SearchContext> searchContext =
_attrPtr->getSearch(vespalib::stringref(&_query[0], _query.size()),
attribute::SearchContextParams());
searchContext->fetchPostings(queryeval::ExecuteInfo::TRUE);
std::unique_ptr<queryeval::SearchIterator> iterator = searchContext->createIterator(nullptr, true);
std::unique_ptr<ResultSet> results = performSearch(*iterator, _attrPtr->getNumDocs());
_status._totalHitCount += results->getNumHits();
}
_status._totalSearchTime += _timer.elapsed();
}
class AttributePrefixSearcher : public AttributeSearcher
{
private:
const std::vector<vespalib::string> & _values;
std::vector<char> _query;
public:
AttributePrefixSearcher(const AttributePtr & attrPtr,
const std::vector<vespalib::string> & values, uint32_t numQueries) :
AttributeSearcher(attrPtr), _values(values), _query()
{
_status._numQueries = numQueries;
}
void doRun() override;
};
void
AttributePrefixSearcher::doRun()
{
_timer = vespalib::Timer();
for (uint32_t i = 0; i < _status._numQueries; ++i) {
// build simple prefix term query
buildTermQuery(_query, _attrPtr->getName(), _values[i % _values.size()].c_str(), true);
AttributeGuard guard(_attrPtr);
std::unique_ptr<attribute::SearchContext> searchContext =
_attrPtr->getSearch(vespalib::stringref(&_query[0], _query.size()),
attribute::SearchContextParams());
searchContext->fetchPostings(queryeval::ExecuteInfo::TRUE);
std::unique_ptr<queryeval::SearchIterator> iterator = searchContext->createIterator(nullptr, true);
std::unique_ptr<ResultSet> results = performSearch(*iterator, _attrPtr->getNumDocs());
_status._totalHitCount += results->getNumHits();
}
_status._totalSearchTime += _timer.elapsed();
}
} // search
|
