一个成熟的多DBMS的设计和实现

Shu-Chin Su Chen, Chih-Shing Yu, Yen-Yao Yao, San-Yih Hwang, B. Lin
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引用次数: 0

摘要

我们描述了我们的多数据库管理系统(MDBMS)的设计。这个MDBMS允许用户访问由不同DBMS控制的数据,就像数据由单个DBMS管理一样。它支持SQL查询和事务功能,并考虑了安全功能。此外,还实现了客户机站点上的ODBC驱动程序,以简化MDBMS应用程序的开发。已经成功地集成了几个流行的商业dbms,包括Oracle、Informix和Sybase。MDBMS正在运行中。然而,我们发现表现并不令人满意。处理对包含数百个元组的两个关系进行单连接的SQL查询大约需要几秒钟。我们已经确定了元数据检索的性能瓶颈。当前的MDBMS Server使用商业DBMS来存储元数据,这是处理全局查询所必需的。查询的处理速度很慢,因为它需要多次通过外部DBMS检索模式信息。我们目前正在设计一个核心存储管理器和一个访问管理器,专门用于维护全局查询的元数据和中间结果。我们期望这种设计能显著提高性能
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The design and implementation of a full-fledged multiple DBMS
We have described our design of the multiple DBMS (MDBMS). This MDBMS enables users to access data controlled by different DBMSs as if data were managed by a single DBMS. It supports facilities for SQL queries and transactions, and considers security functions. In addition, an ODBC driver at the client site has been realized to ease the development of MDBMS applications. Several popular commercial DBMSs, including Oracle, Informix and Sybase, have been successfully integrated. The MDBMS is in operation now. However, we found the performance to be unsatisfactory. It took about several seconds to process an SQL query with single join on two relations of hundreds of tuples. We have identified the performance bottleneck to be on the retrieval of meta data. The current MDBMS Server employs a commercial DBMS to store meta data, which is necessary for processing a global query. The processing of a query is slow because it needs to retrieve the schema information via an external DBMS several times. We are currently designing a core storage manager and an access manager specifically for maintaining the meta data and the intermediate results of a global query. We expect this design to significantly improve the performance.<>
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