CAREER: Database Query Processing for Complex Data Types

职业：复杂数据类型的数据库查询处理

• 批准号: 9702149
• 负责人: Praveen Seshadri
• 金额: $ 28.9万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-09-01 至 2001-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9702149&HistoricalAwards=false
• 关键词: CAREER; Database; Query; Processing; Complex

This research develops a novel database system architecture that efficiently supports queries over rich data types like multi-media, time-series, matrices, and documents. Complex data types are modeled as Enhanced Abstract Data Types (E-ADTs), which are software modules with a common interface. While the uniform interface leads to extensibility, it also exposes semantic information that can be used for query optimization. The E-ADT architecture is demonstrated through the development of the PREDATOR database system. The project studies optimizations that are essential to efficiently support each data type, and extensions of these techniques across multiple data types. While initial results demonstrate major performance improvements compared to existing database systems, several issues are being explored further. What should be the contents of a toolkit for data type development? Can the mechanism for extensible types be extended to implement a heterogeneous database system? How does one build an extensible database system in a Web environment? The project is developing solutions to all these issues and demonstrating them in PREDATOR. The educational goal of the project is to provide a freely available, full-function, modern database system for the database community to use for educational and research purposes. To this end, the code base of PREDATOR is being released, and the functionality of the system is being augmented with many standard database features. This project has the potential to change the fundamental architecture of the next generation of object-relational systems, with applications ranging from geographic information systems to multimedia databases.

本研究开发一种新颖的数据库系统架构，有效地支持对丰富数据的查询 多媒体、时间序列、矩阵和文档等类型。复杂数据类型建模为 增强型抽象数据类型（E-ADT），是具有公共接口的软件模块。而 统一接口带来了可扩展性，它还公开了可用于查询的语义信息 优化. E-ADT体系结构通过PREDATOR的开发得到证明 数据库系统该项目研究了有效支持每种数据类型所必需的优化， 以及这些技术跨多种数据类型的扩展。虽然初步结果显示， 与现有数据库系统相比，性能改进，正在探讨几个问题 进一步.数据类型开发工具包的内容应该是什么？该机制能否 可扩展类型被扩展以实现异构数据库系统？如何建立一个 可扩展数据库系统在Web环境中的应用该项目正在为所有这些问题制定解决方案 并在《捕食者》中展示。该项目的教育目标是提供一个免费的 一个可用的，功能齐全的，现代化的数据库系统，供数据库社区用于教育和 调查或为此，正在发布PREDATOR的代码库， 该系统正在增加许多标准数据库功能。该项目有可能 用应用程序改变下一代对象关系系统的基本架构 从地理信息系统到多媒体数据库。