嵌入式數(shù)據(jù)庫(kù)的海量存儲(chǔ)技術(shù)研究

本文分析了典型的嵌入式數(shù)據(jù)庫(kù)Berkeley DB。與常見(jiàn)的數(shù)據(jù)庫(kù)相比，它具有體積小、
功能齊備、可移植性、健壯性等特點(diǎn)。文章將嵌入式數(shù)據(jù)庫(kù)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(kù)加鎖機(jī)制、多個(gè)附加數(shù)據(jù)庫(kù)查詢機(jī)制的實(shí)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(chǔ)問(wèn)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(kù)；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