关键词: 大数据管理, BigTable, 关系数据库

Abstract: There is an increasing interest to build data management systems to support big data applications. Ideally, those big data management systems should offer application developers two capabilities: (1) rapid application development (RAD), i.e., the ability of enabling application developers to focus on logical data structure instead of physical data layout, (2) scalable and efficient data access. Unfortunately, existing solutions fail to provide the two properties at the same time. Relational data management systems support RAD since those systems employ a data independent programming model. However, relational databases are hard to scale up to support big data. On the other hand, NoSQL databases such as BigTable enjoy excellent system scalability. However, to achieve data access efficiency, the BigTable programming model requires application developers to finely tune physical data layout. Thus, the system is not easy to use. This paper presents RStore, a big data storage system which employs a relational programming model for RAD and automatically persists those relational data into BigTable for scalability and thus achieving both required properties at the same time. Experiments on TPC-C applications confirm the effectiveness and efficiency of the proposed approach.

Key words: big data management, BigTable, relational databases