计算机科学 ›› 2018, Vol. 45 ›› Issue (5): 163-167.doi: 10.11896/j.issn.1002-137X.2018.05.027
潘明明,李丁丁,汤庸,刘海
PAN Ming-ming, LI Ding-ding, TANG Yong and LIU Hai
摘要： 在大数据时代,信息化数据呈爆炸式增长,传统关系型数据库和新兴的NoSQL数据库都难以全面且高效地面对这些挑战。因此,提出一种基于中间件的异构数据库访问方法(MingleDB),以结合NoSQL和传统关系型数据库的优点。MingleDB透明融合了NoSQL数据库和传统数据库的主要运行逻辑,同时又能够根据当前用户请求的读写特征,自动选取合适的处理路径以避免二者的不足；它还支持轻量级的事务处理框架,该框架按需实施以保证异构数据库数据的最终一致性和完整性。将MingleDB分别与MongoDB,MySQL数据库进行读写性能对比,实验证明了MingleDB方法的正确性和合理性。同时将MingleDB部署在实际的社交网络系统中进行实际验证,结果亦证明了其实用性和可移植性。
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