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// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include <vespa/searchlib/test/fakedata/fake_match_loop.h>
#include <vespa/searchlib/test/fakedata/fakeposting.h>
#include <vespa/searchlib/test/fakedata/fakeword.h>
#include <vespa/searchlib/test/fakedata/fakewordset.h>
#include <vespa/searchlib/test/fakedata/fpfactory.h>
#include <vespa/vespalib/util/rand48.h>
#include <vespa/vespalib/gtest/gtest.h>
#include <cinttypes>
using search::fef::TermFieldMatchData;
using search::fef::TermFieldMatchDataArray;
using search::queryeval::SearchIterator;
using namespace search::index;
using namespace search::fakedata;
using FakeWordUP = std::unique_ptr<FakeWord>;
void
validate_posting_list_for_word(const FakePosting& posting, const FakeWord& word)
{
TermFieldMatchData md;
TermFieldMatchDataArray tfmda;
tfmda.add(&md);
md.setNeedNormalFeatures(posting.enable_unpack_normal_features());
md.setNeedInterleavedFeatures(posting.enable_unpack_interleaved_features());
std::unique_ptr<SearchIterator> iterator(posting.createIterator(tfmda));
if (posting.hasWordPositions()) {
word.validate(iterator.get(), tfmda, posting.enable_unpack_normal_features(), posting.has_interleaved_features() && posting.enable_unpack_interleaved_features(), false);
} else {
word.validate(iterator.get(), false);
}
}
void
test_fake(const std::string& posting_type,
const Schema& schema,
const FakeWord& word)
{
std::unique_ptr<FPFactory> factory(getFPFactory(posting_type, schema));
std::vector<const FakeWord *> words;
words.push_back(&word);
factory->setup(words);
auto posting = factory->make(word);
printf("%s.bitsize=%d+%d+%d+%d+%d\n",
posting->getName().c_str(),
static_cast<int>(posting->bitSize()),
static_cast<int>(posting->l1SkipBitSize()),
static_cast<int>(posting->l2SkipBitSize()),
static_cast<int>(posting->l3SkipBitSize()),
static_cast<int>(posting->l4SkipBitSize()));
validate_posting_list_for_word(*posting, word);
}
struct PostingListTest : public ::testing::Test {
uint32_t num_docs;
std::vector<std::string> posting_types;
FakeWordSet word_set;
FakeWordUP word1;
FakeWordUP word2;
FakeWordUP word3;
FakeWordUP word4;
FakeWordUP word5;
vespalib::Rand48 rnd;
PostingListTest()
: num_docs(36000),
posting_types(getPostingTypes()),
word_set(),
word1(),
word2(),
word3(),
word4(),
word5(),
rnd()
{
rnd.srand48(32);
}
void setup(bool has_elements, bool has_element_weights) {
word_set.setupParams(has_elements, has_element_weights);
uint32_t w1_freq = 2;
uint32_t w2_freq = 1000;
uint32_t w3_freq = 10000;
uint32_t w4_freq = 19000;
uint32_t w5_freq = 5000;
uint32_t w4w5od = 1000;
word1 = std::make_unique<FakeWord>(num_docs, w1_freq, w1_freq / 2, "word1", rnd,
word_set.getFieldsParams(), word_set.getPackedIndex());
word2 = std::make_unique<FakeWord>(num_docs, w2_freq, w2_freq / 2, "word2", *word1, 4, rnd,
word_set.getFieldsParams(), word_set.getPackedIndex());
word3 = std::make_unique<FakeWord>(num_docs, w3_freq, w3_freq / 2, "word3", *word1, 10, rnd,
word_set.getFieldsParams(), word_set.getPackedIndex());
word4 = std::make_unique<FakeWord>(num_docs, w4_freq, w4_freq / 2, "word4", rnd,
word_set.getFieldsParams(), word_set.getPackedIndex());
word5 = std::make_unique<FakeWord>(num_docs, w5_freq, w5_freq / 2, "word5", *word4, w4w5od, rnd,
word_set.getFieldsParams(), word_set.getPackedIndex());
}
void run() {
for (const auto& type : posting_types) {
test_fake(type, word_set.getSchema(), *word1);
test_fake(type, word_set.getSchema(), *word2);
test_fake(type, word_set.getSchema(), *word3);
test_fake(type, word_set.getSchema(), *word4);
test_fake(type, word_set.getSchema(), *word5);
}
}
};
TEST_F(PostingListTest, verify_posting_list_iterators_over_single_value_field)
{
setup(false, false);
run();
}
TEST_F(PostingListTest, verify_posting_list_iterators_over_array_field)
{
setup(true, false);
run();
}
TEST_F(PostingListTest, verify_posting_list_iterators_over_weighted_set_field)
{
setup(true, true);
run();
}
GTEST_MAIN_RUN_ALL_TESTS()
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