mirror of https://gitee.com/bigwinds/arangodb
2130 lines
81 KiB
C++
2130 lines
81 KiB
C++
////////////////////////////////////////////////////////////////////////////////
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/// DISCLAIMER
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///
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/// Copyright 2017 ArangoDB GmbH, Cologne, Germany
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///
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/// Licensed under the Apache License, Version 2.0 (the "License");
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/// you may not use this file except in compliance with the License.
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/// You may obtain a copy of the License at
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///
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/// http://www.apache.org/licenses/LICENSE-2.0
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///
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/// Unless required by applicable law or agreed to in writing, software
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/// distributed under the License is distributed on an "AS IS" BASIS,
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/// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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/// See the License for the specific language governing permissions and
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/// limitations under the License.
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///
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/// Copyright holder is ArangoDB GmbH, Cologne, Germany
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///
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/// @author Andrey Abramov
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/// @author Vasiliy Nabatchikov
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////////////////////////////////////////////////////////////////////////////////
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#include "common.h"
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#include "gtest/gtest.h"
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#include "../Mocks/StorageEngineMock.h"
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#if USE_ENTERPRISE
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#include "Enterprise/Ldap/LdapFeature.h"
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#endif
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#include "3rdParty/iresearch/tests/tests_config.hpp"
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#include "Aql/AqlFunctionFeature.h"
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#include "Aql/Ast.h"
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#include "Aql/OptimizerRulesFeature.h"
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#include "Aql/Query.h"
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#include "Basics/VelocyPackHelper.h"
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#include "Cluster/ClusterFeature.h"
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#include "GeneralServer/AuthenticationFeature.h"
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#include "IResearch/IResearchAnalyzerFeature.h"
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#include "IResearch/IResearchCommon.h"
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#include "IResearch/IResearchFeature.h"
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#include "IResearch/IResearchFilterFactory.h"
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#include "IResearch/IResearchView.h"
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#include "Logger/LogTopic.h"
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#include "Logger/Logger.h"
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#include "RestServer/AqlFeature.h"
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#include "RestServer/DatabaseFeature.h"
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#include "RestServer/DatabasePathFeature.h"
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#include "RestServer/FlushFeature.h"
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#include "RestServer/QueryRegistryFeature.h"
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#include "RestServer/SystemDatabaseFeature.h"
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#include "RestServer/TraverserEngineRegistryFeature.h"
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#include "RestServer/ViewTypesFeature.h"
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#include "Sharding/ShardingFeature.h"
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#include "StorageEngine/EngineSelectorFeature.h"
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#include "Transaction/StandaloneContext.h"
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#include "Utils/OperationOptions.h"
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#include "Utils/SingleCollectionTransaction.h"
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#include "V8/v8-globals.h"
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#include "V8Server/V8DealerFeature.h"
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#include "VocBase/LogicalCollection.h"
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#include "VocBase/LogicalView.h"
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#include "VocBase/Methods/Collections.h"
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#include "IResearch/VelocyPackHelper.h"
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#include "analysis/analyzers.hpp"
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#include "analysis/token_attributes.hpp"
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#include "utils/utf8_path.hpp"
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#include <velocypack/Iterator.h>
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extern const char* ARGV0; // defined in main.cpp
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namespace {
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// -----------------------------------------------------------------------------
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// --SECTION-- setup / tear-down
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// -----------------------------------------------------------------------------
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class IResearchQueryPhraseTest : public ::testing::Test {
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protected:
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StorageEngineMock engine;
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arangodb::application_features::ApplicationServer server;
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std::vector<std::pair<arangodb::application_features::ApplicationFeature*, bool>> features;
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TRI_vocbase_t* sysVocBase{};
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IResearchQueryPhraseTest() : engine(server), server(nullptr, nullptr) {
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arangodb::EngineSelectorFeature::ENGINE = &engine;
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arangodb::tests::init(true);
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// suppress INFO {authentication} Authentication is turned on (system only), authentication for unix sockets is turned on
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// suppress WARNING {authentication} --server.jwt-secret is insecure. Use --server.jwt-secret-keyfile instead
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arangodb::LogTopic::setLogLevel(arangodb::Logger::AUTHENTICATION.name(),
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arangodb::LogLevel::ERR);
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// suppress log messages since tests check error conditions
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arangodb::LogTopic::setLogLevel(arangodb::Logger::AQL.name(), arangodb::LogLevel::ERR); // suppress WARNING {aql} Suboptimal AqlItemMatrix index lookup:
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arangodb::LogTopic::setLogLevel(arangodb::Logger::FIXME.name(), arangodb::LogLevel::ERR); // suppress WARNING DefaultCustomTypeHandler called
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arangodb::LogTopic::setLogLevel(arangodb::iresearch::TOPIC.name(),
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arangodb::LogLevel::FATAL);
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irs::logger::output_le(iresearch::logger::IRL_FATAL, stderr);
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// setup required application features
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features.emplace_back(new arangodb::FlushFeature(server), false);
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features.emplace_back(new arangodb::V8DealerFeature(server),
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false); // required for DatabaseFeature::createDatabase(...)
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features.emplace_back(new arangodb::ViewTypesFeature(server), true);
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features.emplace_back(new arangodb::AuthenticationFeature(server), true);
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features.emplace_back(new arangodb::DatabasePathFeature(server), false);
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features.emplace_back(new arangodb::DatabaseFeature(server), false);
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features.emplace_back(new arangodb::ShardingFeature(server), false);
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features.emplace_back(new arangodb::QueryRegistryFeature(server), false); // must be first
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arangodb::application_features::ApplicationServer::server->addFeature(
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features.back().first); // need QueryRegistryFeature feature to be added now in order to create the system database
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features.emplace_back(new arangodb::SystemDatabaseFeature(server), true); // required for IResearchAnalyzerFeature
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features.emplace_back(new arangodb::TraverserEngineRegistryFeature(server), false); // must be before AqlFeature
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features.emplace_back(new arangodb::AqlFeature(server), true);
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features.emplace_back(new arangodb::aql::OptimizerRulesFeature(server), true);
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features.emplace_back(new arangodb::aql::AqlFunctionFeature(server), true); // required for IResearchAnalyzerFeature
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features.emplace_back(new arangodb::iresearch::IResearchAnalyzerFeature(server), true);
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features.emplace_back(new arangodb::iresearch::IResearchFeature(server), true);
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#if USE_ENTERPRISE
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features.emplace_back(new arangodb::LdapFeature(server),
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false); // required for AuthenticationFeature with USE_ENTERPRISE
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#endif
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// required for V8DealerFeature::prepare(), ClusterFeature::prepare() not required
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arangodb::application_features::ApplicationServer::server->addFeature(
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new arangodb::ClusterFeature(server));
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for (auto& f : features) {
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arangodb::application_features::ApplicationServer::server->addFeature(f.first);
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}
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for (auto& f : features) {
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f.first->prepare();
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}
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auto const databases = arangodb::velocypack::Parser::fromJson(
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std::string("[ { \"name\": \"") +
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arangodb::StaticStrings::SystemDatabase + "\" } ]");
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auto* dbFeature =
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arangodb::application_features::ApplicationServer::lookupFeature<arangodb::DatabaseFeature>(
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"Database");
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dbFeature->loadDatabases(databases->slice());
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for (auto& f : features) {
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if (f.second) {
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f.first->start();
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}
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}
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auto* sysVocBaseFeature =
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arangodb::application_features::ApplicationServer::lookupFeature<arangodb::SystemDatabaseFeature>();
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EXPECT_TRUE(sysVocBaseFeature);
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auto sysVocBasePtr = sysVocBaseFeature->use();
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arangodb::methods::Collections::createSystem(
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*sysVocBasePtr,
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arangodb::tests::AnalyzerCollectionName, false);
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auto* analyzers =
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arangodb::application_features::ApplicationServer::lookupFeature<arangodb::iresearch::IResearchAnalyzerFeature>();
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arangodb::iresearch::IResearchAnalyzerFeature::EmplaceResult result;
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TRI_vocbase_t* vocbase;
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dbFeature->createDatabase(1, "testVocbase", vocbase); // required for IResearchAnalyzerFeature::emplace(...)
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arangodb::methods::Collections::createSystem(
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*vocbase,
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arangodb::tests::AnalyzerCollectionName, false);
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analyzers->emplace(result, "testVocbase::test_analyzer", "TestAnalyzer",
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VPackParser::fromJson("\"abc\"")->slice(),
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irs::flags{irs::frequency::type(), irs::position::type()} // required for PHRASE
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); // cache analyzer
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analyzers->emplace(result, "testVocbase::test_csv_analyzer",
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"TestDelimAnalyzer",
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VPackParser::fromJson("\",\"")->slice()); // cache analyzer
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analyzers->emplace(result, "_system::test_analyzer", "TestAnalyzer",
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VPackParser::fromJson("\"abc\"")->slice(),
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irs::flags{irs::frequency::type(), irs::position::type()} // required for PHRASE
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); // cache analyzer
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analyzers->emplace(result, "_system::test_csv_analyzer", "TestDelimAnalyzer",
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VPackParser::fromJson("\",\"")->slice()); // cache analyzer
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auto* dbPathFeature =
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arangodb::application_features::ApplicationServer::getFeature<arangodb::DatabasePathFeature>(
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"DatabasePath");
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arangodb::tests::setDatabasePath(*dbPathFeature); // ensure test data is stored in a unique directory
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}
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~IResearchQueryPhraseTest() {
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arangodb::AqlFeature(server).stop(); // unset singleton instance
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arangodb::LogTopic::setLogLevel(arangodb::iresearch::TOPIC.name(),
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arangodb::LogLevel::DEFAULT);
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arangodb::LogTopic::setLogLevel(arangodb::Logger::FIXME.name(),
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arangodb::LogLevel::DEFAULT);
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arangodb::LogTopic::setLogLevel(arangodb::Logger::AQL.name(), arangodb::LogLevel::DEFAULT);
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arangodb::application_features::ApplicationServer::server = nullptr;
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// destroy application features
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for (auto& f : features) {
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if (f.second) {
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f.first->stop();
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}
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}
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for (auto& f : features) {
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f.first->unprepare();
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}
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arangodb::LogTopic::setLogLevel(arangodb::Logger::AUTHENTICATION.name(),
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arangodb::LogLevel::DEFAULT);
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arangodb::EngineSelectorFeature::ENGINE = nullptr;
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}
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}; // IResearchQuerySetup
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} // namespace
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// -----------------------------------------------------------------------------
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// --SECTION-- test suite
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// -----------------------------------------------------------------------------
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TEST_F(IResearchQueryPhraseTest, SysVocbase) {
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std::vector<arangodb::velocypack::Builder> insertedDocs;
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arangodb::LogicalView* view;
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auto* sysVocBaseFeature =
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arangodb::application_features::ApplicationServer::lookupFeature<arangodb::SystemDatabaseFeature>();
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ASSERT_TRUE(sysVocBaseFeature);
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auto sysVocBasePtr = sysVocBaseFeature->use();
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auto& vocbase = *sysVocBasePtr;
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// create collection0
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{
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auto createJson = arangodb::velocypack::Parser::fromJson(
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"{ \"name\": \"testCollection0\" }");
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auto collection = vocbase.createCollection(createJson->slice());
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ASSERT_TRUE((nullptr != collection));
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std::vector<std::shared_ptr<arangodb::velocypack::Builder>> docs{
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arangodb::velocypack::Parser::fromJson(
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"{ \"seq\": -6, \"value\": null }"),
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arangodb::velocypack::Parser::fromJson(
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"{ \"seq\": -5, \"value\": true }"),
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arangodb::velocypack::Parser::fromJson(
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"{ \"seq\": -4, \"value\": \"abc\" }"),
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arangodb::velocypack::Parser::fromJson(
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"{ \"seq\": -3, \"value\": 3.14 }"),
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arangodb::velocypack::Parser::fromJson(
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"{ \"seq\": -2, \"value\": [ 1, \"abc\" ] }"),
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arangodb::velocypack::Parser::fromJson(
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"{ \"seq\": -1, \"value\": { \"a\": 7, \"b\": \"c\" } }"),
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};
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arangodb::OperationOptions options;
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options.returnNew = true;
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arangodb::SingleCollectionTransaction trx(arangodb::transaction::StandaloneContext::Create(vocbase),
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*collection,
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arangodb::AccessMode::Type::WRITE);
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EXPECT_TRUE((trx.begin().ok()));
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for (auto& entry : docs) {
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auto res = trx.insert(collection->name(), entry->slice(), options);
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EXPECT_TRUE((res.ok()));
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insertedDocs.emplace_back(res.slice().get("new"));
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}
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EXPECT_TRUE((trx.commit().ok()));
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}
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// create collection1
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{
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auto createJson = arangodb::velocypack::Parser::fromJson(
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"{ \"name\": \"testCollection1\" }");
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auto collection = vocbase.createCollection(createJson->slice());
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ASSERT_TRUE((nullptr != collection));
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irs::utf8_path resource;
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resource /= irs::string_ref(arangodb::tests::testResourceDir);
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resource /= irs::string_ref("simple_sequential.json");
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auto builder =
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arangodb::basics::VelocyPackHelper::velocyPackFromFile(resource.utf8());
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auto slice = builder.slice();
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ASSERT_TRUE(slice.isArray());
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arangodb::OperationOptions options;
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options.returnNew = true;
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arangodb::SingleCollectionTransaction trx(arangodb::transaction::StandaloneContext::Create(vocbase),
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*collection,
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arangodb::AccessMode::Type::WRITE);
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EXPECT_TRUE((trx.begin().ok()));
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for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
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auto res = trx.insert(collection->name(), itr.value(), options);
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EXPECT_TRUE((res.ok()));
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insertedDocs.emplace_back(res.slice().get("new"));
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}
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EXPECT_TRUE((trx.commit().ok()));
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}
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// create view
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{
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auto createJson = arangodb::velocypack::Parser::fromJson(
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"{ \"name\": \"testView\", \"type\": \"arangosearch\" }");
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auto logicalView = vocbase.createView(createJson->slice());
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ASSERT_TRUE((false == !logicalView));
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view = logicalView.get();
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auto* impl = dynamic_cast<arangodb::iresearch::IResearchView*>(view);
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ASSERT_TRUE((false == !impl));
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auto updateJson = arangodb::velocypack::Parser::fromJson(
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"{ \"links\": {"
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"\"testCollection0\": { \"analyzers\": [ \"test_analyzer\", "
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"\"identity\" ], \"includeAllFields\": true, \"trackListPositions\": "
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"true },"
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"\"testCollection1\": { \"analyzers\": [ \"::test_analyzer\", "
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"\"identity\" ], \"includeAllFields\": true }"
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"}}");
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EXPECT_TRUE((impl->properties(updateJson->slice(), true).ok()));
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std::set<TRI_voc_cid_t> cids;
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impl->visitCollections([&cids](TRI_voc_cid_t cid) -> bool {
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cids.emplace(cid);
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return true;
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});
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EXPECT_TRUE((2 == cids.size()));
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EXPECT_TRUE(
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(arangodb::tests::executeQuery(vocbase,
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"FOR d IN testView SEARCH 1 ==1 OPTIONS "
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"{ waitForSync: true } RETURN d")
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.result.ok())); // commit
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}
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// test missing field
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{
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std::vector<arangodb::velocypack::Slice> expected = {};
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auto result = arangodb::tests::executeQuery(
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vocbase,
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"FOR d IN testView SEARCH PHRASE(d.missing, 'abc') SORT BM25(d) ASC, "
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"TFIDF(d) DESC, d.seq RETURN d");
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ASSERT_TRUE(result.result.ok());
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auto slice = result.data->slice();
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EXPECT_TRUE(slice.isArray());
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size_t i = 0;
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for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
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auto const resolved = itr.value().resolveExternals();
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EXPECT_TRUE((i < expected.size()));
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EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
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resolved, true)));
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}
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EXPECT_TRUE((i == expected.size()));
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}
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// test missing field via []
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{
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std::vector<arangodb::velocypack::Slice> expected = {};
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auto result = arangodb::tests::executeQuery(
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vocbase,
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"FOR d IN testView SEARCH PHRASE(d['missing'], 'abc') SORT BM25(d) "
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"ASC, TFIDF(d) DESC, d.seq RETURN d");
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ASSERT_TRUE(result.result.ok());
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auto slice = result.data->slice();
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EXPECT_TRUE(slice.isArray());
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size_t i = 0;
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for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
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auto const resolved = itr.value().resolveExternals();
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EXPECT_TRUE((i < expected.size()));
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EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
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resolved, true)));
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}
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EXPECT_TRUE((i == expected.size()));
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}
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// test invalid column type
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{
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std::vector<arangodb::velocypack::Slice> expected = {};
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auto result = arangodb::tests::executeQuery(
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vocbase,
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"FOR d IN testView SEARCH PHRASE(d.seq, '0') SORT BM25(d) ASC, "
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"TFIDF(d) DESC, d.seq RETURN d");
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ASSERT_TRUE(result.result.ok());
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auto slice = result.data->slice();
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EXPECT_TRUE(slice.isArray());
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size_t i = 0;
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for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
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auto const resolved = itr.value().resolveExternals();
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EXPECT_TRUE((i < expected.size()));
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EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
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resolved, true)));
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}
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EXPECT_TRUE((i == expected.size()));
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}
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// test invalid column type via []
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{
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std::vector<arangodb::velocypack::Slice> expected = {};
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auto result = arangodb::tests::executeQuery(
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vocbase,
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"FOR d IN testView SEARCH PHRASE(d['seq'], '0') SORT BM25(d) ASC, "
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"TFIDF(d) DESC, d.seq RETURN d");
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ASSERT_TRUE(result.result.ok());
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auto slice = result.data->slice();
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EXPECT_TRUE(slice.isArray());
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size_t i = 0;
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for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
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auto const resolved = itr.value().resolveExternals();
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EXPECT_TRUE((i < expected.size()));
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EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
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resolved, true)));
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}
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EXPECT_TRUE((i == expected.size()));
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}
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// test invalid input type (empty-array)
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{
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auto result = arangodb::tests::executeQuery(
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vocbase,
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"FOR d IN testView SEARCH PHRASE(d.value, [ ]) SORT BM25(d) ASC, "
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"TFIDF(d) DESC, d.seq RETURN d");
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ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
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}
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// test invalid input type (empty-array) via []
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{
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auto result = arangodb::tests::executeQuery(
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vocbase,
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"FOR d IN testView SEARCH PHRASE(d['value'], [ ]) SORT BM25(d) ASC, "
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"TFIDF(d) DESC, d.seq RETURN d");
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ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
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}
|
|
|
|
// test invalid input type (array)
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d.value, [ 1, \"abc\" ]) SORT BM25(d) "
|
|
"ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid input type (array) via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d['value'], [ 1, \"abc\" ]) SORT "
|
|
"BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid input type (boolean)
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d.value, true) SORT BM25(d) ASC, "
|
|
"TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid input type (boolean) via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d['value'], false) SORT BM25(d) ASC, "
|
|
"TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid input type (null)
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d.value, null) SORT BM25(d) ASC, "
|
|
"TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid input type (null) via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d['value'], null) SORT BM25(d) ASC, "
|
|
"TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid input type (numeric)
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d.value, 3.14) SORT BM25(d) ASC, "
|
|
"TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid input type (numeric) via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d['value'], 1234) SORT BM25(d) ASC, "
|
|
"TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid input type (object)
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d.value, { \"a\": 7, \"b\": \"c\" }) "
|
|
"SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid input type (object) via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d['value'], { \"a\": 7, \"b\": \"c\" "
|
|
"}) SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test missing value
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d.value) SORT BM25(d) ASC, TFIDF(d) "
|
|
"DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_QUERY_FUNCTION_ARGUMENT_NUMBER_MISMATCH));
|
|
}
|
|
|
|
// test missing value via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d['value']) SORT BM25(d) ASC, "
|
|
"TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_QUERY_FUNCTION_ARGUMENT_NUMBER_MISMATCH));
|
|
}
|
|
|
|
// test invalid analyzer type (array)
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d.duplicated, 'z'), [ 1, "
|
|
"\"abc\" ]) SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid analyzer type (array) via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d['duplicated'], 'z'), [ 1, "
|
|
"\"abc\" ]) SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid analyzer type (boolean)
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d.duplicated, 'z'), true) "
|
|
"SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid analyzer type (boolean) via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH analyzer(PHRASE(d['duplicated'], 'z'), "
|
|
"false) SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid analyzer type (null)
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH analyzer(PHRASE(d.duplicated, 'z'), null) "
|
|
"SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid analyzer type (null) via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH analyzer(PHRASE(d['duplicated'], 'z'), null) "
|
|
"SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid analyzer type (numeric)
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH analyzer(PHRASE(d.duplicated, 'z'), 3.14) "
|
|
"SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid analyzer type (numeric) via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH analyzer(PHRASE(d['duplicated'], 'z'), 1234) "
|
|
"SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid analyzer type (object)
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH analyzer(PHRASE(d.duplicated, 'z'), { \"a\": "
|
|
"7, \"b\": \"c\" }) SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid analyzer type (object) via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH analyzer(PHRASE(d['duplicated'], 'z'), { "
|
|
"\"a\": 7, \"b\": \"c\" }) SORT BM25(d) ASC, TFIDF(d) DESC, d.seq "
|
|
"RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test undefined analyzer
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH analyzer(PHRASE(d.duplicated, 'z'), "
|
|
"'invalid_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test undefined analyzer via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d['duplicated'], 'z'), "
|
|
"'invalid_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// can't access to local analyzer in other database
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d.duplicated, 'z'), "
|
|
"'testVocbase::test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq "
|
|
"RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// constexpr ANALYZER function (true)
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(1==1, 'test_analyzer') && ANALYZER(PHRASE(d.duplicated, 'z'), "
|
|
"'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// constexpr ANALYZER function (false)
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(1==2, 'test_analyzer') && ANALYZER(PHRASE(d.duplicated, 'z'), "
|
|
"'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
ASSERT_TRUE(slice.isArray());
|
|
ASSERT_EQ(0, slice.length());
|
|
}
|
|
|
|
// test custom analyzer
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d.duplicated, 'z'), "
|
|
"'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d.duplicated, 'z', '::test_analyzer') "
|
|
"SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d.duplicated, 'z', "
|
|
"'_system::test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq "
|
|
"RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer via []
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH analyzer(PHRASE(d['duplicated'], 'z'), "
|
|
"'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with offsets
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d.duplicated, 'v', 1, 'z'), "
|
|
"'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with offsets
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d.duplicated, 'v', 1, 'z', "
|
|
"'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with offsets via []
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d['duplicated'], 'v', 2, "
|
|
"'c'), 'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN "
|
|
"d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with offsets via []
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d['duplicated'], 'v', 2, "
|
|
"'c', 'test_analyzer'), 'identity') SORT BM25(d) ASC, TFIDF(d) DESC, "
|
|
"d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with offsets (no match)
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d.duplicated, 'v', 0, 'z'), "
|
|
"'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with offsets (no match) via []
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d['duplicated'], 'v', 1, "
|
|
"'c'), 'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN "
|
|
"d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with [ phrase ] arg
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d.duplicated, [ 'z' ]), "
|
|
"'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer via [] with [ phrase ] arg
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d['duplicated'], [ 'z' ]), "
|
|
"'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with offsets with [ phrase ] arg
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d.duplicated, [ 'v', 1, 'z' "
|
|
"]), 'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with offsets via [] with [ phrase ] arg
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d['duplicated'], [ 'v', 2, "
|
|
"'c' ]), 'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq "
|
|
"RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with offsets (no match) with [ phrase ] arg
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d.duplicated, [ 'v', 0, 'z' "
|
|
"]), 'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with offsets (no match) via [] with [ phrase ] arg
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d['duplicated'], [ 'v', 1, "
|
|
"'c' ]), 'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq "
|
|
"RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with offsets (no match) via [] with [ phrase ] arg
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d['duplicated'], [ 'v', 1, 'c' ], "
|
|
"'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with offsets (no match) via [] with [ phrase ] arg
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d['duplicated'], [ 'v', 1, "
|
|
"'c' ], 'test_analyzer'), 'identity') SORT BM25(d) ASC, TFIDF(d) DESC, "
|
|
"d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
}
|
|
|
|
TEST_F(IResearchQueryPhraseTest, test) {
|
|
TRI_vocbase_t vocbase(TRI_vocbase_type_e::TRI_VOCBASE_TYPE_NORMAL, 1,
|
|
"testVocbase");
|
|
std::vector<arangodb::velocypack::Builder> insertedDocs;
|
|
arangodb::LogicalView* view;
|
|
|
|
// create collection0
|
|
{
|
|
auto createJson = arangodb::velocypack::Parser::fromJson(
|
|
"{ \"name\": \"testCollection0\" }");
|
|
auto collection = vocbase.createCollection(createJson->slice());
|
|
ASSERT_TRUE((nullptr != collection));
|
|
|
|
std::vector<std::shared_ptr<arangodb::velocypack::Builder>> docs{
|
|
arangodb::velocypack::Parser::fromJson(
|
|
"{ \"seq\": -6, \"value\": null }"),
|
|
arangodb::velocypack::Parser::fromJson(
|
|
"{ \"seq\": -5, \"value\": true }"),
|
|
arangodb::velocypack::Parser::fromJson(
|
|
"{ \"seq\": -4, \"value\": \"abc\" }"),
|
|
arangodb::velocypack::Parser::fromJson(
|
|
"{ \"seq\": -3, \"value\": 3.14 }"),
|
|
arangodb::velocypack::Parser::fromJson(
|
|
"{ \"seq\": -2, \"value\": [ 1, \"abc\" ] }"),
|
|
arangodb::velocypack::Parser::fromJson(
|
|
"{ \"seq\": -1, \"value\": { \"a\": 7, \"b\": \"c\" } }"),
|
|
};
|
|
|
|
arangodb::OperationOptions options;
|
|
options.returnNew = true;
|
|
arangodb::SingleCollectionTransaction trx(arangodb::transaction::StandaloneContext::Create(vocbase),
|
|
*collection,
|
|
arangodb::AccessMode::Type::WRITE);
|
|
EXPECT_TRUE((trx.begin().ok()));
|
|
|
|
for (auto& entry : docs) {
|
|
auto res = trx.insert(collection->name(), entry->slice(), options);
|
|
EXPECT_TRUE((res.ok()));
|
|
insertedDocs.emplace_back(res.slice().get("new"));
|
|
}
|
|
|
|
EXPECT_TRUE((trx.commit().ok()));
|
|
}
|
|
|
|
// create collection1
|
|
{
|
|
auto createJson = arangodb::velocypack::Parser::fromJson(
|
|
"{ \"name\": \"testCollection1\" }");
|
|
auto collection = vocbase.createCollection(createJson->slice());
|
|
ASSERT_TRUE((nullptr != collection));
|
|
|
|
irs::utf8_path resource;
|
|
resource /= irs::string_ref(arangodb::tests::testResourceDir);
|
|
resource /= irs::string_ref("simple_sequential.json");
|
|
|
|
auto builder =
|
|
arangodb::basics::VelocyPackHelper::velocyPackFromFile(resource.utf8());
|
|
auto slice = builder.slice();
|
|
ASSERT_TRUE(slice.isArray());
|
|
|
|
arangodb::OperationOptions options;
|
|
options.returnNew = true;
|
|
arangodb::SingleCollectionTransaction trx(arangodb::transaction::StandaloneContext::Create(vocbase),
|
|
*collection,
|
|
arangodb::AccessMode::Type::WRITE);
|
|
EXPECT_TRUE((trx.begin().ok()));
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto res = trx.insert(collection->name(), itr.value(), options);
|
|
EXPECT_TRUE((res.ok()));
|
|
insertedDocs.emplace_back(res.slice().get("new"));
|
|
}
|
|
|
|
EXPECT_TRUE((trx.commit().ok()));
|
|
}
|
|
|
|
// create view
|
|
{
|
|
auto createJson = arangodb::velocypack::Parser::fromJson(
|
|
"{ \"name\": \"testView\", \"type\": \"arangosearch\" }");
|
|
auto logicalView = vocbase.createView(createJson->slice());
|
|
ASSERT_TRUE((false == !logicalView));
|
|
|
|
view = logicalView.get();
|
|
auto* impl = dynamic_cast<arangodb::iresearch::IResearchView*>(view);
|
|
ASSERT_TRUE((false == !impl));
|
|
|
|
auto updateJson = arangodb::velocypack::Parser::fromJson(
|
|
"{ \"links\": {"
|
|
"\"testCollection0\": { \"analyzers\": [ \"test_analyzer\", "
|
|
"\"::test_analyzer\", \"identity\" ], \"includeAllFields\": true, "
|
|
"\"trackListPositions\": true },"
|
|
"\"testCollection1\": { \"analyzers\": [ \"test_analyzer\", "
|
|
"\"_system::test_analyzer\", \"identity\" ], \"includeAllFields\": "
|
|
"true }"
|
|
"}}");
|
|
EXPECT_TRUE((impl->properties(updateJson->slice(), true).ok()));
|
|
std::set<TRI_voc_cid_t> cids;
|
|
impl->visitCollections([&cids](TRI_voc_cid_t cid) -> bool {
|
|
cids.emplace(cid);
|
|
return true;
|
|
});
|
|
EXPECT_TRUE((2 == cids.size()));
|
|
EXPECT_TRUE(
|
|
(arangodb::tests::executeQuery(vocbase,
|
|
"FOR d IN testView SEARCH 1 ==1 OPTIONS "
|
|
"{ waitForSync: true } RETURN d")
|
|
.result.ok())); // commit
|
|
}
|
|
|
|
// test missing field
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d.missing, 'abc') SORT BM25(d) ASC, "
|
|
"TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test missing field via []
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d['missing'], 'abc') SORT BM25(d) "
|
|
"ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test invalid column type
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d.seq, '0') SORT BM25(d) ASC, "
|
|
"TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test invalid column type via []
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d['seq'], '0') SORT BM25(d) ASC, "
|
|
"TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test invalid input type (empty-array)
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d.value, [ ]) SORT BM25(d) ASC, "
|
|
"TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid input type (empty-array) via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d['value'], [ ]) SORT BM25(d) ASC, "
|
|
"TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid input type (array)
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d.value, [ 1, \"abc\" ]) SORT BM25(d) "
|
|
"ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid input type (array) via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d['value'], [ 1, \"abc\" ]) SORT "
|
|
"BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid input type (boolean)
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d.value, true) SORT BM25(d) ASC, "
|
|
"TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid input type (boolean) via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d['value'], false) SORT BM25(d) ASC, "
|
|
"TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid input type (null)
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d.value, null) SORT BM25(d) ASC, "
|
|
"TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid input type (null) via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d['value'], null) SORT BM25(d) ASC, "
|
|
"TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid input type (numeric)
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d.value, 3.14) SORT BM25(d) ASC, "
|
|
"TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid input type (numeric) via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d['value'], 1234) SORT BM25(d) ASC, "
|
|
"TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid input type (object)
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d.value, { \"a\": 7, \"b\": \"c\" }) "
|
|
"SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid input type (object) via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d['value'], { \"a\": 7, \"b\": \"c\" "
|
|
"}) SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test missing value
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d.value) SORT BM25(d) ASC, TFIDF(d) "
|
|
"DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_QUERY_FUNCTION_ARGUMENT_NUMBER_MISMATCH));
|
|
}
|
|
|
|
// test missing value via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d['value']) SORT BM25(d) ASC, "
|
|
"TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_QUERY_FUNCTION_ARGUMENT_NUMBER_MISMATCH));
|
|
}
|
|
|
|
// test invalid analyzer type (array)
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d.duplicated, 'z'), [ 1, "
|
|
"\"abc\" ]) SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid analyzer type (array) via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d['duplicated'], 'z'), [ 1, "
|
|
"\"abc\" ]) SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid analyzer type (boolean)
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d.duplicated, 'z'), true) "
|
|
"SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid analyzer type (boolean) via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH analyzer(PHRASE(d['duplicated'], 'z'), "
|
|
"false) SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid analyzer type (null)
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH analyzer(PHRASE(d.duplicated, 'z'), null) "
|
|
"SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid analyzer type (null) via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH analyzer(PHRASE(d['duplicated'], 'z'), null) "
|
|
"SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid analyzer type (numeric)
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH analyzer(PHRASE(d.duplicated, 'z'), 3.14) "
|
|
"SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid analyzer type (numeric) via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH analyzer(PHRASE(d['duplicated'], 'z'), 1234) "
|
|
"SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid analyzer type (object)
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH analyzer(PHRASE(d.duplicated, 'z'), { \"a\": "
|
|
"7, \"b\": \"c\" }) SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test invalid analyzer type (object) via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH analyzer(PHRASE(d['duplicated'], 'z'), { "
|
|
"\"a\": 7, \"b\": \"c\" }) SORT BM25(d) ASC, TFIDF(d) DESC, d.seq "
|
|
"RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test undefined analyzer
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH analyzer(PHRASE(d.duplicated, 'z'), "
|
|
"'invalid_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test undefined analyzer via []
|
|
{
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d['duplicated'], 'z'), "
|
|
"'invalid_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.is(TRI_ERROR_BAD_PARAMETER));
|
|
}
|
|
|
|
// test custom analyzer (local)
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d.duplicated, 'z'), "
|
|
"'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer (local)
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d.duplicated, 'z'), "
|
|
"'testVocbase::test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq "
|
|
"RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer (system)
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d.duplicated, 'z'), "
|
|
"'::test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer (system)
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d.duplicated, 'z'), "
|
|
"'_system::test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq "
|
|
"RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d.duplicated, 'z', 'test_analyzer') "
|
|
"SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer via []
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH analyzer(PHRASE(d['duplicated'], 'z'), "
|
|
"'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with offsets
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d.duplicated, 'v', 1, 'z'), "
|
|
"'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with offsets
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d.duplicated, 'v', 1, 'z', "
|
|
"'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with offsets via []
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d['duplicated'], 'v', 2, "
|
|
"'c'), 'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN "
|
|
"d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with offsets via []
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d['duplicated'], 'v', 2, "
|
|
"'c', 'test_analyzer'), 'identity') SORT BM25(d) ASC, TFIDF(d) DESC, "
|
|
"d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with offsets (no match)
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d.duplicated, 'v', 0, 'z'), "
|
|
"'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with offsets (no match) via []
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d['duplicated'], 'v', 1, "
|
|
"'c'), 'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN "
|
|
"d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with [ phrase ] arg
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d.duplicated, [ 'z' ]), "
|
|
"'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer via [] with [ phrase ] arg
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d['duplicated'], [ 'z' ]), "
|
|
"'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with offsets with [ phrase ] arg
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d.duplicated, [ 'v', 1, 'z' "
|
|
"]), 'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with offsets via [] with [ phrase ] arg
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {
|
|
insertedDocs[7].slice(), insertedDocs[8].slice(),
|
|
insertedDocs[13].slice(), insertedDocs[19].slice(),
|
|
insertedDocs[22].slice(), insertedDocs[24].slice(),
|
|
insertedDocs[29].slice(),
|
|
};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d['duplicated'], [ 'v', 2, "
|
|
"'c' ]), 'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq "
|
|
"RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with offsets (no match) with [ phrase ] arg
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d.duplicated, [ 'v', 0, 'z' "
|
|
"]), 'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with offsets (no match) via [] with [ phrase ] arg
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d['duplicated'], [ 'v', 1, "
|
|
"'c' ]), 'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq "
|
|
"RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with offsets (no match) via [] with [ phrase ] arg
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH PHRASE(d['duplicated'], [ 'v', 1, 'c' ], "
|
|
"'test_analyzer') SORT BM25(d) ASC, TFIDF(d) DESC, d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
|
|
// test custom analyzer with offsets (no match) via [] with [ phrase ] arg
|
|
{
|
|
std::vector<arangodb::velocypack::Slice> expected = {};
|
|
auto result = arangodb::tests::executeQuery(
|
|
vocbase,
|
|
"FOR d IN testView SEARCH ANALYZER(PHRASE(d['duplicated'], [ 'v', 1, "
|
|
"'c' ], 'test_analyzer'), 'identity') SORT BM25(d) ASC, TFIDF(d) DESC, "
|
|
"d.seq RETURN d");
|
|
ASSERT_TRUE(result.result.ok());
|
|
auto slice = result.data->slice();
|
|
EXPECT_TRUE(slice.isArray());
|
|
size_t i = 0;
|
|
|
|
for (arangodb::velocypack::ArrayIterator itr(slice); itr.valid(); ++itr) {
|
|
auto const resolved = itr.value().resolveExternals();
|
|
EXPECT_TRUE((i < expected.size()));
|
|
EXPECT_TRUE((0 == arangodb::basics::VelocyPackHelper::compare(expected[i++],
|
|
resolved, true)));
|
|
}
|
|
|
|
EXPECT_TRUE((i == expected.size()));
|
|
}
|
|
}
|