關鍵字:xapian、內存索引ios
xapian除了提供用於生產環境的磁盤索引,也提供了內存索引(InMemoryDatabase)。內存索引。咱們能夠經過觀察內存索引的設計,來了解xapian的設計思路。git
1 用途github
官方文檔說法:api
「inmemory, This type is a database held entirely in memory. It was originally written for testing purposes only, but may prove useful for building up temporary small databases.」數據結構
早期版本的源碼說明:post
「This backend stores a database entirely in memory. When the database is closed these indexed contents are lost.This is useful for searching through relatively small amounts of data (such as a single large file) which hasn't previously been indexed.」測試
早期版本的源碼註釋:ui
「This is a prototype database, mainly used for debugging and testing」spa
總的來講,這是一個原型DB,最初只用來作測試和debug用,沒有持久化,關閉DB數據就丟失,能夠用來處理小量數據的搜索,而且這部分數據能夠在內存中實時建索引。prototype
2 使用內存索引
/*************************************************************************** * * @file ram_xapian.cpp * @author cswuyg * @date 2019/02/21 * @brief * **************************************************************************/ // inmemory index use deprecated class, disalbe the compile error. #pragma warning(disable : 4996) #include <iostream> #include "xapian.h" #pragma comment(lib, "libxapian.a") #pragma comment(lib, "zdll.lib") const char* const K_DB_PATH = "index_data"; const char* const K_DOC_UNIQUE_ID = "007"; Xapian::WritableDatabase createIndex() { std::cout << "--index start--" << std::endl; Xapian::WritableDatabase db = Xapian::InMemory::open(); Xapian::Document doc; doc.add_posting("T世界", 1); doc.add_posting("T體育", 1); doc.add_posting("T比賽", 1); doc.set_data("世界體育比賽"); doc.add_boolean_term(K_DOC_UNIQUE_ID); Xapian::docid innerId = db.replace_document(K_DOC_UNIQUE_ID, doc); std::cout << "add doc innerId=" << innerId << std::endl; db.commit(); std::cout << "--index finish--" << std::endl; return db; } void queryIndex(Xapian::WritableDatabase db) { std::cout << "--search start--" << std::endl; Xapian::Query termOne = Xapian::Query("T世界"); Xapian::Query termTwo = Xapian::Query("T比賽"); Xapian::Query termThree = Xapian::Query("T體育"); auto query = Xapian::Query(Xapian::Query::OP_OR, Xapian::Query(Xapian::Query::OP_OR, termOne, termTwo), termThree); std::cout << "query=" << query.get_description() << std::endl; Xapian::Enquire enquire(db); enquire.set_query(query); Xapian::MSet result = enquire.get_mset(0, 10); std::cout << "find results count=" << result.get_matches_estimated() << std::endl; for (auto it = result.begin(); it != result.end(); ++it) { Xapian::Document doc = it.get_document(); std::string data = doc.get_data(); Xapian::weight docScoreWeight = it.get_weight(); Xapian::percent docScorePercent = it.get_percent(); std::cout << "doc=" << data << ",weight=" << docScoreWeight << ",percent=" << docScorePercent << std::endl; } std::cout << "--search finish--" << std::endl; } int main() { auto db = createIndex(); queryIndex(db); return 0; }
github: https://github.com/cswuyg/xapian_exercise/tree/master/ram_xapian
3 數據結構
內存索引包含一系列數據結構,經過這些數據結構,能夠一窺xapian的索引設計思路。
內存索引數據結構以下圖所示:
幾個主要的操做類封裝:
InMemoryPostList:內存中的postlist,單個term,操做的就是倒排鏈表;
InMemoryAllDocsPostList:內存中的postlist,整個DB,操做的其實是termlist表(doc表);
InMemoryTermList: 某個doc的term列表;
InMemoryDatabase: 內存DB;
InMemoryAllTermsList: 內存中的termlist,其實是整個DB的postlists;
InMemoryDocument:單個doc的操做封裝 ;
InMemoryPositionList:內存中的position列表操做封裝