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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include <vespa/document/datatype/datatype.h>
#include <vespa/document/fieldvalue/document.h>
#include <vespa/document/fieldvalue/fieldvalue.h>
#include <vespa/document/fieldvalue/stringfieldvalue.h>
#include <vespa/document/repo/configbuilder.h>
#include <vespa/searchlib/common/documentsummary.h>
#include <vespa/vespalib/util/sequencedtaskexecutor.h>
#include <vespa/searchlib/common/flush_token.h>
#include <vespa/searchlib/diskindex/diskindex.h>
#include <vespa/searchlib/diskindex/fusion.h>
#include <vespa/searchlib/diskindex/indexbuilder.h>
#include <vespa/searchlib/fef/fef.h>
#include <vespa/searchlib/index/dummyfileheadercontext.h>
#include <vespa/searchlib/memoryindex/memory_index.h>
#include <vespa/searchlib/test/doc_builder.h>
#include <vespa/searchlib/test/schema_builder.h>
#include <vespa/searchlib/test/string_field_builder.h>
#include <vespa/searchlib/test/index/mock_field_length_inspector.h>
#include <vespa/searchlib/query/base.h>
#include <vespa/searchlib/query/tree/simplequery.h>
#include <vespa/searchlib/queryeval/blueprint.h>
#include <vespa/searchlib/queryeval/fake_requestcontext.h>
#include <vespa/searchlib/queryeval/searchiterator.h>
#include <vespa/vespalib/gtest/gtest.h>
#include <vespa/vespalib/util/gate.h>
#include <vespa/vespalib/util/destructor_callbacks.h>
#include <vespa/vespalib/util/threadstackexecutor.h>
#include <sstream>
using document::DataType;
using document::Document;
using document::FieldValue;
using document::StringFieldValue;
using search::DocumentIdT;
using search::FlushToken;
using search::TuneFileIndexing;
using search::TuneFileSearch;
using search::diskindex::DiskIndex;
using search::diskindex::IndexBuilder;
using search::diskindex::SelectorArray;
using search::docsummary::DocumentSummary;
using search::fef::FieldPositionsIterator;
using search::fef::MatchData;
using search::fef::MatchDataLayout;
using search::fef::TermFieldHandle;
using search::fef::TermFieldMatchData;
using search::index::DummyFileHeaderContext;
using search::index::Schema;
using search::index::test::MockFieldLengthInspector;
using search::memoryindex::MemoryIndex;
using search::query::SimpleStringTerm;
using search::queryeval::Blueprint;
using search::queryeval::FakeRequestContext;
using search::queryeval::FieldSpec;
using search::queryeval::FieldSpecList;
using search::queryeval::SearchIterator;
using search::queryeval::Searchable;
using search::test::DocBuilder;
using search::test::SchemaBuilder;
using search::test::StringFieldBuilder;
using std::ostringstream;
using vespalib::string;
namespace {
void commit_memory_index_and_wait(MemoryIndex &memory_index)
{
vespalib::Gate gate;
memory_index.commit(std::make_shared<vespalib::GateCallback>(gate));
gate.await();
}
const string field_name = "string_field";
const string noise = "noise";
const string word1 = "foo";
const string word2 = "bar";
const DocumentIdT doc_id1 = 1;
const DocumentIdT doc_id2 = 2;
Document::UP buildDocument(DocBuilder & doc_builder, int id, const string &word) {
ostringstream ost;
ost << "id:ns:searchdocument::" << id;
auto doc = doc_builder.make_document(ost.str());
doc->setValue(field_name, StringFieldBuilder(doc_builder).word(noise).space().word(word).build());
return doc;
}
// Performs a search using a Searchable.
void
testSearch(Searchable &source, const string &term, uint32_t doc_id)
{
FakeRequestContext requestContext;
uint32_t fieldId = 0;
MatchDataLayout mdl;
TermFieldHandle handle = mdl.allocTermField(fieldId);
MatchData::UP match_data = mdl.createMatchData();
SimpleStringTerm node(term, field_name, 0, search::query::Weight(0));
Blueprint::UP result = source.createBlueprint(requestContext,
FieldSpecList().add(FieldSpec(field_name, 0, handle)), node);
result->fetchPostings(search::queryeval::ExecuteInfo::TRUE);
SearchIterator::UP search_iterator = result->createSearch(*match_data, true);
search_iterator->initFullRange();
ASSERT_TRUE(search_iterator.get());
ASSERT_TRUE(search_iterator->seek(doc_id));
EXPECT_EQ(doc_id, search_iterator->getDocId());
search_iterator->unpack(doc_id);
FieldPositionsIterator it = match_data->resolveTermField(handle)->getIterator();
ASSERT_TRUE(it.valid());
EXPECT_EQ(1u, it.size());
EXPECT_EQ(1u, it.getPosition()); // All hits are at pos 1 in this index
EXPECT_TRUE(!search_iterator->seek(doc_id + 1));
EXPECT_TRUE(search_iterator->isAtEnd());
}
VESPA_THREAD_STACK_TAG(invert_executor)
VESPA_THREAD_STACK_TAG(write_executor)
// Creates a memory index, inserts documents, performs a few
// searches, dumps the index to disk, and performs the searches
// again.
TEST(FeedAndSearchTest, require_that_memory_index_can_be_dumped_and_searched)
{
vespalib::ThreadStackExecutor sharedExecutor(2);
auto indexFieldInverter = vespalib::SequencedTaskExecutor::create(invert_executor, 2);
auto indexFieldWriter = vespalib::SequencedTaskExecutor::create(write_executor, 2);
DocBuilder doc_builder([](auto& header) { header.addField(field_name, DataType::T_STRING); });
auto schema = SchemaBuilder(doc_builder).add_all_indexes().build();
MemoryIndex memory_index(schema, MockFieldLengthInspector(), *indexFieldInverter, *indexFieldWriter);
Document::UP doc = buildDocument(doc_builder, doc_id1, word1);
memory_index.insertDocument(doc_id1, *doc, {});
auto doc2 = buildDocument(doc_builder, doc_id2, word2);
memory_index.insertDocument(doc_id2, *doc2, {});
commit_memory_index_and_wait(memory_index);
testSearch(memory_index, word1, doc_id1);
testSearch(memory_index, word2, doc_id2);
const string index_dir = "test_index";
const uint32_t docIdLimit = memory_index.getDocIdLimit();
const uint64_t num_words = memory_index.getNumWords();
search::TuneFileIndexing tuneFileIndexing;
DummyFileHeaderContext fileHeaderContext;
{
MockFieldLengthInspector fieldLengthInspector;
IndexBuilder index_builder(schema, index_dir, docIdLimit, num_words,
fieldLengthInspector, tuneFileIndexing, fileHeaderContext);
memory_index.dump(index_builder);
}
// Fusion test. Keep all documents to get an "indentical" copy.
const string index_dir2 = "test_index2";
std::vector<string> fusionInputs;
fusionInputs.push_back(index_dir);
uint32_t fusionDocIdLimit = 0;
using Fusion = search::diskindex::Fusion;
bool fret1 = DocumentSummary::readDocIdLimit(index_dir, fusionDocIdLimit);
ASSERT_TRUE(fret1);
SelectorArray selector(fusionDocIdLimit, 0);
{
Fusion fusion(schema, index_dir2, fusionInputs, selector, tuneFileIndexing, fileHeaderContext);
bool fret2 = fusion.merge(sharedExecutor, std::make_shared<FlushToken>());
ASSERT_TRUE(fret2);
}
// Fusion test with all docs removed in output (doesn't affect word list)
const string index_dir3 = "test_index3";
fusionInputs.clear();
fusionInputs.push_back(index_dir);
fusionDocIdLimit = 0;
bool fret3 = DocumentSummary::readDocIdLimit(index_dir, fusionDocIdLimit);
ASSERT_TRUE(fret3);
SelectorArray selector2(fusionDocIdLimit, 1);
{
Fusion fusion(schema, index_dir3, fusionInputs, selector2, tuneFileIndexing, fileHeaderContext);
bool fret4 = fusion.merge(sharedExecutor, std::make_shared<FlushToken>());
ASSERT_TRUE(fret4);
}
// Fusion test with all docs removed in input (affects word list)
const string index_dir4 = "test_index4";
fusionInputs.clear();
fusionInputs.push_back(index_dir3);
fusionDocIdLimit = 0;
bool fret5 = DocumentSummary::readDocIdLimit(index_dir3, fusionDocIdLimit);
ASSERT_TRUE(fret5);
SelectorArray selector3(fusionDocIdLimit, 0);
{
Fusion fusion(schema, index_dir4, fusionInputs, selector3, tuneFileIndexing, fileHeaderContext);
bool fret6 = fusion.merge(sharedExecutor, std::make_shared<FlushToken>());
ASSERT_TRUE(fret6);
}
DiskIndex disk_index(index_dir);
ASSERT_TRUE(disk_index.setup(TuneFileSearch()));
testSearch(disk_index, word1, doc_id1);
testSearch(disk_index, word2, doc_id2);
DiskIndex disk_index2(index_dir2);
ASSERT_TRUE(disk_index2.setup(TuneFileSearch()));
testSearch(disk_index2, word1, doc_id1);
testSearch(disk_index2, word2, doc_id2);
}
} // namespace
int
main(int argc, char* argv[])
{
::testing::InitGoogleTest(&argc, argv);
if (argc > 0) {
DummyFileHeaderContext::setCreator(argv[0]);
}
return RUN_ALL_TESTS();
}
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