分布式哈希连接查询处理的分解算法

[1992 Proceedings] Second International Workshop on Research Issues on Data Engineering: Transaction and Query Processing Pub Date : 1992-02-02 DOI:10.1109/RIDE.1992.227424

S. Spetka

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引用次数: 1

摘要

数据库系统作为CAD和AI等应用程序的阶段存储库的重要性日益增加。这些应用程序需要对查询的有效支持，这些查询比大多数系统所支持的常见业务查询更复杂。更多的查询也具有临时性质，限制了预编译方法的效用。对快速响应的需求使人工智能和CAD应用变得可行，这也进一步推动了对分布式系统中资源开发技术的研究，以提高性能。本文探讨了分布式数据库系统中复杂查询处理的查询分解技术，并揭示了当前算法的不足。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A decomposition algorithm for distributed hash join query processing

Database systems are increasing in importance as stage repositories for applications like CAD and AI. These applications demand efficient support for queries that are more complex than the common business queries that are supported well by most systems. More queries are also of an ad-hoc nature, limiting the utility of precompilation approaches. The need for fast response to make AI and CAD applications feasible also has further motivated research into techniques for exploiting resources in a distributed system for improved performance. This paper explores query decomposition techniques for complex query processing in distributed database systems and exposes the deficiencies associated with current algorithms.<>

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[1992 Proceedings] Second International Workshop on Research Issues on Data Engineering: Transaction and Query Processing

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