嵌入式數(shù)據(jù)庫的海量存儲技術(shù)研究

本文分析了典型的嵌入式數(shù)據(jù)庫Berkeley DB。與常見的數(shù)據(jù)庫相比，它具有體積小、
功能齊備、可移植性、健壯性等特點。文章將嵌入式數(shù)據(jù)庫Berkeley DB 應(yīng)用到網(wǎng)絡(luò)性能管理系統(tǒng)（NPMS）當(dāng)中，詳細(xì)介紹了多進(jìn)程、多數(shù)據(jù)庫加鎖機制、多個附加數(shù)據(jù)庫查詢機制的實現(xiàn)，較好地解決了網(wǎng)絡(luò)性能管理系統(tǒng)當(dāng)中海量數(shù)據(jù)的存儲問題，大大提高了系統(tǒng)的數(shù)據(jù)存取速度，改善了系統(tǒng)的整體性能。
關(guān)鍵字: 嵌入式數(shù)據(jù)庫；Berkeley DB；NPMS
Abstract: Compared with the normal database, the embedded database has some distinct features, such as small volume、necessary functions、portability、 robustness and so on. This paper analyses the Berkeley DB. Embedded database Berkeley DB used in network performance manage system, resolving the problem of storage system in NPMS，improving the speed of storing and retrieving of the system，ameliorating the whole performance of the system。
Keywords: Embedded Database;Berkeley DB;NPMS