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Distributed result set iterator: a design pattern for efficient retrieval of large result sets from remote data sources

机译:分布式结果集迭代器:一种用于从远程数据源中有效检索大型结果集的设计模式

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摘要

Retrieving large amounts of information over wide area networks, including the Internet, is problematic due to issues arising from latency of response, lack of direct memory access to data serving resources, and fault tolerance. As both the public and industry require an ever increasing amount of data to be transferred in a timely fashion, we face the challenge of providing the technology to meet these consumer-driven demands. We must be able to deliver large amounts of information promptly with immediate feedback to user requests. In addition, this must be achieved in a robust manner while conserving computing resources. This paper describes a design pattern for solving the issues of handling results from queries that return large amounts of data. Typically, these queries would be made by a client process across a wide area network (or Internet) to a relational database residing on a remote server. The solution is discussed in detail in this paper and has recently been incorporated into the framework of a commercial software product developed at Oracle Corporation.
机译:由于响应延迟,缺少对数据服务资源的直接内存访问以及容错性等问题,在包括Internet在内的广域网中检索大量信息是有问题的。由于公众和行业都需要及时地传输越来越多的数据,因此我们面临着提供满足这些消费者驱动需求的技术的挑战。我们必须能够及时提供大量信息,并立即反馈用户请求。另外,必须在节省计算资源的同时以鲁棒的方式实现这一点。本文介绍了一种设计模式,用于解决处理返回大量数据的查询结果的问题。通常,这些查询将由跨广域网(或Internet)的客户端进程对驻留在远程服务器上的关系数据库进行。本文将详细讨论该解决方案,并且最近将该解决方案并入了由Oracle Corporation开发的商业软件产品的框架。

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