#pragma once #include #include #include #include #include #include #include #include #include struct facet_value { // use string to int mapping for saving memory spp::sparse_hash_map value_index; spp::sparse_hash_map index_value; spp::sparse_hash_map> doc_values; uint32_t get_value_index(const std::string & value) { if(value_index.count(value) != 0) { return value_index[value]; } uint32_t new_index = value_index.size(); value_index.emplace(value, new_index); index_value.emplace(new_index, value); return new_index; } void index_values(uint32_t doc_seq_id, const std::vector & values) { std::vector value_vec(values.size()); for(auto i = 0; i < values.size(); i++) { value_vec[i] = get_value_index(values[i]); } doc_values.emplace(doc_seq_id, value_vec); } }; class Collection { private: std::string name; uint32_t collection_id; // Auto incrementing record ID used internally for indexing - not exposed to the client uint32_t next_seq_id; spp::sparse_hash_map search_schema; spp::sparse_hash_map facet_schema; std::vector sort_fields; Store* store; spp::sparse_hash_map search_index; spp::sparse_hash_map facet_index; spp::sparse_hash_map*> sort_index; std::string token_ranking_field; std::string get_doc_id_key(const std::string & doc_id); std::string get_seq_id_key(uint32_t seq_id); static inline std::vector next_suggestion(const std::vector> &token_leaves, long long int n); void log_leaves(const int cost, const std::string &token, const std::vector &leaves) const; size_t union_of_leaf_ids(std::vector &leaves, uint32_t **results_out); Option do_filtering(uint32_t** filter_ids_out, const std::string & simple_filter_str); void do_facets(std::vector & facets, uint32_t* result_ids, size_t results_size); void search_field(std::string & query, const std::string & field, uint32_t *filter_ids, size_t filter_ids_length, std::vector & facets, const std::vector & sort_fields, const int num_typos, const size_t num_results, Topster<100> &topster, uint32_t** all_result_ids, size_t & all_result_ids_len, const token_ordering token_order = FREQUENCY, const bool prefix = false); void search_candidates(uint32_t* filter_ids, size_t filter_ids_length, std::vector & facets, const std::vector & sort_fields, int & token_rank, std::vector> & token_leaves, Topster<100> & topster, size_t & total_results, uint32_t** all_result_ids, size_t & all_result_ids_len, const size_t & max_results); void index_string_field(const std::string & text, const uint32_t score, art_tree *t, uint32_t seq_id, const bool verbatim) const; void index_string_array_field(const std::vector & strings, const uint32_t score, art_tree *t, uint32_t seq_id, const bool verbatim) const; void index_int32_field(const int32_t value, uint32_t score, art_tree *t, uint32_t seq_id) const; void index_int64_field(const int64_t value, uint32_t score, art_tree *t, uint32_t seq_id) const; void index_int32_array_field(const std::vector & values, const uint32_t score, art_tree *t, uint32_t seq_id) const; void index_int64_array_field(const std::vector & values, const uint32_t score, art_tree *t, uint32_t seq_id) const; void remove_and_shift_offset_index(sorted_array &offset_index, const uint32_t *indices_sorted, const uint32_t indices_length); public: Collection() = delete; Collection(const std::string name, const uint32_t collection_id, const uint32_t next_seq_id, Store *store, const std::vector & search_fields, const std::vector & facet_fields, const std::vector & sort_fields, const std::string token_ranking_field); ~Collection(); static std::string get_next_seq_id_key(const std::string & collection_name); static std::string get_meta_key(const std::string & collection_name); std::string get_seq_id_collection_prefix(); uint32_t get_collection_id(); uint32_t get_next_seq_id(); uint32_t doc_id_to_seq_id(std::string doc_id); std::vector get_facet_fields(); std::vector get_sort_fields(); spp::sparse_hash_map get_schema(); std::string get_token_ranking_field(); Option add(const std::string & json_str); nlohmann::json search(std::string query, const std::vector search_fields, const std::string & simple_filter_query, const std::vector & facet_fields, const std::vector & sort_fields, const int num_typos, const size_t per_page = 10, const size_t page = 1, const token_ordering token_order = FREQUENCY, const bool prefix = false); Option remove(const std::string & id); void score_results(const std::vector & sort_fields, const int & token_rank, Topster<100> &topster, const std::vector & query_suggestion, const uint32_t *result_ids, const size_t result_size) const; Option index_in_memory(const nlohmann::json & document, uint32_t seq_id); //enum {MAX_SEARCH_TOKENS = 10}; static const int MAX_SEARCH_TOKENS = 10; static const int MAX_RESULTS = 100; // strings under this length will be fully highlighted, instead of showing a snippet of relevant portion enum {SNIPPET_STR_ABOVE_LEN = 30}; // Using a $ prefix so that these meta keys stay above record entries in a lexicographically ordered KV store static constexpr const char* COLLECTION_META_PREFIX = "$CM"; static constexpr const char* COLLECTION_NEXT_SEQ_PREFIX = "$CS"; static constexpr const char* SEQ_ID_PREFIX = "$SI"; static constexpr const char* DOC_ID_PREFIX = "$DI"; };