Microsoft StreamInsight中的可扩展性框架

Mohamed H. Ali, B. Chandramouli, J. Goldstein, R. Schindlauer
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引用次数: 59

摘要

Microsoft StreamInsight(简称为StreamInsight)是一个开发和部署流应用程序的平台,它需要在输入事件的高数据速率流上运行连续查询。StreamInsight利用定义良好的时态流模型和操作符代数,作为处理事件流上长时间连续查询的底层基础。这允许StreamInsight处理事件交付中的缺陷,并为生成的输出提供正确性保证。StreamInsight原生支持各种现成的流媒体运营商。为了迎合更广泛的客户场景和应用,StreamInsight最近引入了一个新的可扩展性基础设施。有了这个基础设施,StreamInsight使开发人员能够以用户定义模块(函数、操作符和聚合)的形式将他们的领域专业知识集成到查询管道中。本文描述了StreamInsight的可扩展性框架;Microsoft SQL Server正在努力支持在流处理系统中集成用户定义模块。更具体地说,本文从三个角度解决了可扩展性问题:查询编写器的角度、用户定义模块编写器的角度和系统内部的角度。本文介绍并解决了一系列新的和微妙的挑战,当我们试图以一种易于使用、功能强大和实用的方式向流系统添加可扩展性时,会出现这些挑战。我们总结了我们的经验,并提供了在不同业务领域中支持面向流工作负载的未来方向。
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The extensibility framework in Microsoft StreamInsight
Microsoft StreamInsight (StreamInsight, for brevity) is a platform for developing and deploying streaming applications, which need to run continuous queries over high-data-rate streams of input events. StreamInsight leverages a well-defined temporal stream model and operator algebra, as the underlying basis for processing long-running continuous queries over event streams. This allows StreamInsight to handle imperfections in event delivery and to provide correctness guarantees on the generated output. StreamInsight natively supports a diverse range of off-the-shelf streaming operators. In order to cater to a much broader range of customer scenarios and applications, StreamInsight has recently introduced a new extensibility infrastructure. With this infrastructure, StreamInsight enables developers to integrate their domain expertise within the query pipeline in the form of user defined modules (functions, operators, and aggregates). This paper describes the extensibility framework in StreamInsight; an ongoing effort at Microsoft SQL Server to support the integration of user-defined modules in a stream processing system. More specifically, the paper addresses the extensibility problem from three perspectives: the query writer's perspective, the user defined module writer's perspective, and the system's internal perspective. The paper introduces and addresses a range of new and subtle challenges that arise when we try to add extensibility to a streaming system, in a manner that is easy to use, powerful, and practical. We summarize our experience and provide future directions for supporting stream-oriented workloads in different business domains.
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