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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
// Unit tests for document_features_store.
#include <vespa/searchlib/predicate/document_features_store.h>
#include <vespa/searchlib/util/data_buffer_writer.h>
#include <vespa/searchlib/predicate/document_features_store_saver.h>
#include <vespa/searchlib/predicate/predicate_index.h>
#include <vespa/searchlib/predicate/predicate_tree_annotator.h>
#include <vespa/searchlib/predicate/predicate_hash.h>
#include <vespa/vespalib/testkit/testapp.h>
#include <string>
#include <vespa/log/log.h>
LOG_SETUP("document_features_store_test");
using namespace search;
using namespace search::predicate;
using std::string;
namespace {
const uint64_t hash1 = 0x12345678;
const uint64_t hash2 = 0x123456789a;
const uint32_t doc_id = 42;
void
save_document_features_store(DocumentFeaturesStore& store, vespalib::DataBuffer& buffer)
{
DataBufferWriter writer(buffer);
store.make_saver()->save(writer);
writer.flush();
}
TEST("require that DocumentFeaturesStore can store features.") {
DocumentFeaturesStore features_store(10);
PredicateTreeAnnotations annotations;
annotations.features.push_back(hash1);
annotations.features.push_back(hash2);
features_store.insert(annotations, doc_id);
auto features = features_store.get(doc_id);
ASSERT_EQUAL(2u, features.size());
EXPECT_EQUAL(1u, features.count(hash1));
EXPECT_EQUAL(1u, features.count(hash2));
features_store.remove(doc_id);
features = features_store.get(doc_id);
EXPECT_TRUE(features.empty());
}
template <typename Set>
void expectHash(const string &label, const Set &set) {
TEST_STATE(label.c_str());
uint64_t hash = PredicateHash::hash64(label);
EXPECT_EQUAL(1u, set.count(hash));
}
TEST("require that DocumentFeaturesStore can store ranges.") {
DocumentFeaturesStore features_store(10);
PredicateTreeAnnotations annotations;
annotations.range_features.push_back({"foo", 2, 4});
annotations.range_features.push_back({"bar", 7, 13});
annotations.range_features.push_back({"baz", 9, 19});
annotations.range_features.push_back({"qux", -10, 10});
annotations.range_features.push_back({"quux", -39, -10});
annotations.range_features.push_back({"corge", -9, -1});
features_store.insert(annotations, doc_id);
auto features = features_store.get(doc_id);
ASSERT_EQUAL(13u, features.size());
expectHash("foo=0", features);
expectHash("bar=0", features);
expectHash("bar=10", features);
expectHash("baz=0", features);
expectHash("baz=10-19", features);
expectHash("qux=-10", features);
expectHash("qux=-9-0", features);
expectHash("qux=10", features);
expectHash("qux=0-9", features);
expectHash("quux=-19-10", features);
expectHash("quux=-29-20", features);
expectHash("quux=-39-30", features);
expectHash("corge=-9-0", features);
}
TEST("require that DocumentFeaturesStore can store large ranges.") {
DocumentFeaturesStore features_store(10);
PredicateTreeAnnotations annotations;
annotations.range_features.push_back({"foo", 10, 199});
annotations.range_features.push_back({"bar", 100, 239});
annotations.range_features.push_back({"baz", -999, 999});
features_store.insert(annotations, doc_id);
auto features = features_store.get(doc_id);
ASSERT_EQUAL(17u, features.size());
expectHash("foo=10-19", features);
expectHash("foo=20-29", features);
expectHash("foo=30-39", features);
expectHash("foo=40-49", features);
expectHash("foo=50-59", features);
expectHash("foo=60-69", features);
expectHash("foo=70-79", features);
expectHash("foo=80-89", features);
expectHash("foo=90-99", features);
expectHash("foo=100-199", features);
expectHash("bar=200-209", features);
expectHash("bar=210-219", features);
expectHash("bar=220-229", features);
expectHash("bar=230-239", features);
expectHash("bar=100-199", features);
expectHash("baz=-999-0", features);
expectHash("baz=0-999", features);
}
TEST("require that DocumentFeaturesStore can use very large ranges.") {
DocumentFeaturesStore features_store(2);
PredicateTreeAnnotations annotations;
annotations.range_features.push_back({"foo", LLONG_MIN, 39});
features_store.insert(annotations, doc_id);
auto features = features_store.get(doc_id);
ASSERT_EQUAL(4u, features.size());
expectHash("foo=-9223372036854775808", features);
expectHash("foo=-9223372036854775807-0", features);
expectHash("foo=0-31", features);
expectHash("foo=32-39", features);
}
TEST("require that duplicate range features are removed.") {
DocumentFeaturesStore features_store(10);
PredicateTreeAnnotations annotations;
annotations.range_features.push_back({"foo", 80, 199});
annotations.range_features.push_back({"foo", 85, 199});
annotations.range_features.push_back({"foo", 90, 199});
features_store.insert(annotations, doc_id);
auto features = features_store.get(doc_id);
ASSERT_EQUAL(4u, features.size());
expectHash("foo=80-89", features);
expectHash("foo=90-99", features);
expectHash("foo=100-199", features);
expectHash("foo=80", features);
}
TEST("require that only unique features are returned") {
DocumentFeaturesStore features_store(10);
PredicateTreeAnnotations annotations;
annotations.range_features.push_back({"foo", 100, 199});
annotations.features.push_back(PredicateHash::hash64("foo=100-199"));
features_store.insert(annotations, doc_id);
auto features = features_store.get(doc_id);
ASSERT_EQUAL(1u, features.size());
expectHash("foo=100-199", features);
}
TEST("require that both features and ranges are removed by 'remove'") {
DocumentFeaturesStore features_store(10);
PredicateTreeAnnotations annotations;
annotations.range_features.push_back({"foo", 100, 199});
annotations.features.push_back(PredicateHash::hash64("foo=100-199"));
features_store.insert(annotations, doc_id);
features_store.remove(doc_id);
auto features = features_store.get(doc_id);
ASSERT_EQUAL(0u, features.size());
}
TEST("require that both features and ranges counts towards memory usage") {
DocumentFeaturesStore features_store(10);
EXPECT_EQUAL(562024u, features_store.getMemoryUsage().usedBytes());
PredicateTreeAnnotations annotations;
annotations.features.push_back(PredicateHash::hash64("foo=100-199"));
features_store.insert(annotations, doc_id);
EXPECT_EQUAL(562376u, features_store.getMemoryUsage().usedBytes());
annotations.features.clear();
annotations.range_features.push_back({"foo", 100, 199});
features_store.insert(annotations, doc_id + 1);
EXPECT_EQUAL(562480u, features_store.getMemoryUsage().usedBytes());
}
TEST("require that DocumentFeaturesStore can be serialized") {
DocumentFeaturesStore features_store(10);
PredicateTreeAnnotations annotations;
annotations.range_features.push_back({"foo", 100, 199});
annotations.features.push_back(PredicateHash::hash64("foo=bar"));
features_store.insert(annotations, doc_id);
auto features = features_store.get(doc_id);
ASSERT_EQUAL(2u, features.size());
expectHash("foo=bar", features);
expectHash("foo=100-199", features);
vespalib::DataBuffer buffer;
save_document_features_store(features_store, buffer);
DocumentFeaturesStore features_store2(buffer);
features = features_store2.get(doc_id);
ASSERT_EQUAL(2u, features.size());
expectHash("foo=bar", features);
expectHash("foo=100-199", features);
}
TEST("require that serialization cleans up wordstore") {
DocumentFeaturesStore features_store(10);
PredicateTreeAnnotations annotations;
annotations.range_features.push_back({"foo", 100, 199});
features_store.insert(annotations, doc_id);
EXPECT_EQUAL(562464u, features_store.getMemoryUsage().usedBytes());
annotations.range_features.push_back({"bar", 100, 199});
features_store.insert(annotations, doc_id + 1);
EXPECT_EQUAL(562524u, features_store.getMemoryUsage().usedBytes());
features_store.remove(doc_id + 1);
EXPECT_EQUAL(562524u, features_store.getMemoryUsage().usedBytes());
vespalib::DataBuffer buffer;
save_document_features_store(features_store, buffer);
DocumentFeaturesStore features_store2(buffer);
EXPECT_EQUAL(562464u, features_store2.getMemoryUsage().usedBytes());
}
} // namespace
TEST_MAIN() { TEST_RUN_ALL(); }
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