Rename mgcxx namespace and fix Rust → C++ string handling
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c60b66fde7
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@ -18,7 +18,7 @@
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namespace memgraph::storage {
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void TextIndex::AddNode(Vertex *vertex_after_update, Storage *storage,
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const std::vector<memcxx::text_search::Context *> &applicable_text_indices) {
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const std::vector<mgcxx::text_search::Context *> &applicable_text_indices) {
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// NOTE: Text indexes are presently all-property indices. If we allow text indexes restricted to specific properties,
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// an indexable document should be created for each applicable index.
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nlohmann::json document = {};
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@ -36,7 +36,7 @@ void TextIndex::AddNode(Vertex *vertex_after_update, Storage *storage,
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document["metadata"]["is_node"] = true;
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for (auto *index_context : applicable_text_indices) {
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memcxx::text_search::add(*index_context, memcxx::text_search::DocumentInput{.data = document.dump()}, false);
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mgcxx::text_search::add_document(*index_context, mgcxx::text_search::DocumentInput{.data = document.dump()}, false);
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}
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}
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@ -64,12 +64,12 @@ void TextIndex::UpdateNode(Vertex *vertex_after_update, Storage *storage, const
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}
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void TextIndex::RemoveNode(Vertex *vertex_after_update,
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const std::vector<memcxx::text_search::Context *> &applicable_text_indices) {
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auto search_node_to_be_deleted = memcxx::text_search::SearchInput{
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.search_query = fmt::format("metadata.gid:{}", vertex_after_update->gid.AsInt())};
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const std::vector<mgcxx::text_search::Context *> &applicable_text_indices) {
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auto search_node_to_be_deleted =
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mgcxx::text_search::SearchInput{.search_query = fmt::format("metadata.gid:{}", vertex_after_update->gid.AsInt())};
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for (auto *index_context : applicable_text_indices) {
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memcxx::text_search::delete_document(*index_context, search_node_to_be_deleted, false);
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mgcxx::text_search::delete_document(*index_context, search_node_to_be_deleted, false);
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}
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}
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@ -98,8 +98,8 @@ void TextIndex::UpdateOnSetProperty(Vertex *vertex_after_update, Storage *storag
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UpdateNode(vertex_after_update, storage);
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}
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std::vector<memcxx::text_search::Context *> TextIndex::GetApplicableTextIndices(const std::vector<LabelId> &labels) {
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std::vector<memcxx::text_search::Context *> applicable_text_indices;
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std::vector<mgcxx::text_search::Context *> TextIndex::GetApplicableTextIndices(const std::vector<LabelId> &labels) {
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std::vector<mgcxx::text_search::Context *> applicable_text_indices;
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for (const auto &label : labels) {
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if (label_to_index_.contains(label)) {
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applicable_text_indices.push_back(&index_.at(label_to_index_.at(label)));
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@ -108,8 +108,8 @@ std::vector<memcxx::text_search::Context *> TextIndex::GetApplicableTextIndices(
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return applicable_text_indices;
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}
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std::vector<memcxx::text_search::Context *> TextIndex::GetApplicableTextIndices(Vertex *vertex) {
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std::vector<memcxx::text_search::Context *> applicable_text_indices;
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std::vector<mgcxx::text_search::Context *> TextIndex::GetApplicableTextIndices(Vertex *vertex) {
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std::vector<mgcxx::text_search::Context *> applicable_text_indices;
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for (const auto &label : vertex->labels) {
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if (label_to_index_.contains(label)) {
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applicable_text_indices.push_back(&index_.at(label_to_index_.at(label)));
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@ -124,8 +124,8 @@ bool TextIndex::CreateIndex(std::string index_name, LabelId label, memgraph::que
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mappings["properties"]["metadata"] = {{"type", "json"}, {"fast", true}, {"stored", true}, {"text", true}};
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mappings["properties"]["data"] = {{"type", "json"}, {"fast", true}, {"stored", true}, {"text", true}};
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index_.emplace(index_name, memcxx::text_search::create_index(
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index_name, memcxx::text_search::IndexConfig{.mappings = mappings.dump()}));
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index_.emplace(index_name, mgcxx::text_search::create_index(
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index_name, mgcxx::text_search::IndexConfig{.mappings = mappings.dump()}));
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label_to_index_.emplace(label, index_name);
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bool has_schema = false;
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@ -157,13 +157,14 @@ bool TextIndex::CreateIndex(std::string index_name, LabelId label, memgraph::que
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document["metadata"]["deleted"] = false;
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document["metadata"]["is_node"] = true;
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memcxx::text_search::add(index_.at(index_name), memcxx::text_search::DocumentInput{.data = document.dump()}, false);
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mgcxx::text_search::add_document(index_.at(index_name), mgcxx::text_search::DocumentInput{.data = document.dump()},
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false);
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}
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return true;
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}
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bool TextIndex::DropIndex(std::string index_name) {
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memcxx::text_search::drop_index(index_name);
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mgcxx::text_search::drop_index(index_name);
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index_.erase(index_name);
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std::erase_if(label_to_index_, [index_name](const auto &item) { return item.second == index_name; });
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return true;
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@ -172,15 +173,22 @@ bool TextIndex::DropIndex(std::string index_name) {
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bool TextIndex::IndexExists(std::string index_name) const { return index_.contains(index_name); }
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std::vector<Gid> TextIndex::Search(std::string index_name, std::string search_query) {
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auto input = memcxx::text_search::SearchInput{.search_query = search_query, .return_fields = {"metadata"}};
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auto input = mgcxx::text_search::SearchInput{.search_query = search_query, .return_fields = {"metadata"}};
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// Basic check for search fields in the query (Tantivy syntax delimits them with a `:` to the right)
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if (search_query.find(":") == std::string::npos) {
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input.search_fields = {"data"};
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}
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std::vector<Gid> found_nodes;
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for (const auto &doc : memcxx::text_search::search(index_.at(index_name), input).docs) {
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found_nodes.push_back(storage::Gid::FromString(nlohmann::json::parse(doc.data.data())["metadata"]["gid"].dump()));
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auto search_results = mgcxx::text_search::search(index_.at(index_name), input);
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auto docs = search_results.docs;
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for (const auto &doc : docs) {
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auto doc_data = doc.data;
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std::string doc_string = doc_data.data();
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auto doc_len = doc_data.length();
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doc_string.resize(doc_len);
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auto doc_json = nlohmann::json::parse(doc_string);
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found_nodes.push_back(storage::Gid::FromString(doc_json["metadata"]["gid"].dump()));
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}
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return found_nodes;
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}
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@ -27,11 +27,11 @@ class Storage;
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class TextIndex {
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private:
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void AddNode(Vertex *vertex, Storage *storage,
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const std::vector<memcxx::text_search::Context *> &applicable_text_indices);
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const std::vector<mgcxx::text_search::Context *> &applicable_text_indices);
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std::vector<memcxx::text_search::Context *> GetApplicableTextIndices(const std::vector<LabelId> &labels);
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std::vector<mgcxx::text_search::Context *> GetApplicableTextIndices(const std::vector<LabelId> &labels);
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void RemoveNode(Vertex *vertex, const std::vector<memcxx::text_search::Context *> &applicable_text_indices);
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void RemoveNode(Vertex *vertex, const std::vector<mgcxx::text_search::Context *> &applicable_text_indices);
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public:
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TextIndex() = default;
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@ -43,7 +43,7 @@ class TextIndex {
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~TextIndex() = default;
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std::map<std::string, memcxx::text_search::Context> index_;
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std::map<std::string, mgcxx::text_search::Context> index_;
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std::map<LabelId, std::string> label_to_index_;
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void AddNode(Vertex *vertex, Storage *storage);
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@ -60,7 +60,7 @@ class TextIndex {
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void UpdateOnSetProperty(Vertex *vertex_after_update, Storage *storage, const Transaction &tx);
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std::vector<memcxx::text_search::Context *> GetApplicableTextIndices(Vertex *vertex);
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std::vector<mgcxx::text_search::Context *> GetApplicableTextIndices(Vertex *vertex);
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bool CreateIndex(std::string index_name, LabelId label, memgraph::query::DbAccessor *db);
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@ -292,15 +292,15 @@ Result<PropertyValue> VertexAccessor::SetProperty(PropertyId property, const Pro
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// if (flags::run_time::GetTextSearchEnabled() && update_text_index) {
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// for (auto *index_context : storage_->indices_.text_index_->GetApplicableTextIndices(vertex_)) {
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// auto search_input = memcxx::text_search::SearchInput{
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// auto search_input = mgcxx::text_search::SearchInput{
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// .search_query = fmt::format("metadata.gid:{}", vertex_->gid.AsInt()), .return_fields = {"data"}};
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// auto search_result = memcxx::text_search::search(*index_context, search_input);
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// memcxx::text_search::delete_document(*index_context, search_input, true);
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// auto search_result = mgcxx::text_search::search(*index_context, search_input);
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// mgcxx::text_search::delete_document(*index_context, search_input, true);
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// auto new_properties = search_result.docs[0].data; // TODO (pending real Tantivy results): parse result to
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// // JSON, set property and convert back to string
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// auto new_properties_document = memcxx::text_search::DocumentInput{.data = new_properties};
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// memcxx::text_search::add(*index_context, new_properties_document, true);
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// auto new_properties_document = mgcxx::text_search::DocumentInput{.data = new_properties};
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// mgcxx::text_search::add_document(*index_context, new_properties_document, true);
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// }
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// }
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@ -343,9 +343,9 @@ Result<bool> VertexAccessor::InitProperties(const std::map<storage::PropertyId,
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// if (flags::run_time::GetTextSearchEnabled() && update_text_index) {
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// for (auto *index_context : storage_->indices_.text_index_->GetApplicableTextIndices(vertex_)) {
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// auto new_properties_document =
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// memcxx::text_search::DocumentInput{}; // TODO (pending real Tantivy operation): create a JSON, set
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// mgcxx::text_search::DocumentInput{}; // TODO (pending real Tantivy operation): create a JSON, set
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// // properties and convert to string
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// memcxx::text_search::add(*index_context, new_properties_document, true);
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// mgcxx::text_search::add_document(*index_context, new_properties_document, true);
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// }
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// }
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@ -372,15 +372,15 @@ Result<std::vector<std::tuple<PropertyId, PropertyValue, PropertyValue>>> Vertex
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id_old_new_change.emplace(vertex->properties.UpdateProperties(properties));
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// if (flags::run_time::GetTextSearchEnabled()) {
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// for (auto *index_context : storage->indices_.text_index_->GetApplicableTextIndices(vertex)) {
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// auto search_input = memcxx::text_search::SearchInput{
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// auto search_input = mgcxx::text_search::SearchInput{
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// .search_query = fmt::format("metadata.gid:{}", vertex->gid.AsInt()), .return_fields = {"data"}};
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// auto search_result = memcxx::text_search::search(*index_context, search_input);
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// memcxx::text_search::delete_document(*index_context, search_input, true);
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// auto search_result = mgcxx::text_search::search(*index_context, search_input);
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// mgcxx::text_search::delete_document(*index_context, search_input, true);
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// auto new_properties = search_result.docs[0].data; // TODO (pending real Tantivy results): parse result to
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// // JSON, set property and convert back to string
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// auto new_properties_document = memcxx::text_search::DocumentInput{.data = new_properties};
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// memcxx::text_search::add(*index_context, new_properties_document, true);
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// auto new_properties_document = mgcxx::text_search::DocumentInput{.data = new_properties};
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// mgcxx::text_search::add_document(*index_context, new_properties_document, true);
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// }
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// }
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@ -433,9 +433,9 @@ Result<std::map<PropertyId, PropertyValue>> VertexAccessor::ClearProperties(bool
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// if (flags::run_time::GetTextSearchEnabled()) {
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// for (auto *index_context : storage->indices_.text_index_->GetApplicableTextIndices(vertex)) {
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// auto search_input =
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// memcxx::text_search::SearchInput{.search_query = fmt::format("metadata.gid:{}",
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// mgcxx::text_search::SearchInput{.search_query = fmt::format("metadata.gid:{}",
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// vertex->gid.AsInt())};
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// memcxx::text_search::delete_document(*index_context, search_input, true);
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// mgcxx::text_search::delete_document(*index_context, search_input, true);
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// }
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// }
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}};
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