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作者： Ali, Mohamed Chandramouli, Badrish Fay, Jonathan Wong, Curtis Drucker, Steven Raman, Balan Sethu Microsoft SQL Server One Microsoft Way RedmondWA98052 United States Microsoft Research One Microsoft Way RedmondWA98052 United States

This demo presents the ongoing effort to meld the stream query processing capabilities of microsoft StreamInsight with the visualization capabilities of the WorldWide Telescope. This effort provides visualization opportunities to manage, analyze, and process real-time information that is of spatio-temporal nature. The demo scenario is based on detecting, tracking and predicting interesting patterns over historical logs and real-time feeds of earthquake data. © 2011 VLDB Endowment.

关键词： Visualization

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Online Visualization of Geospatial Stream Data using the WorldWide Telescope

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PROCEEDINGS OF THE VLDB ENDOWMENT 2011年第12期4卷 1379-1382页

作者： Ali, Mohamed Chandramouli, Badrish Fay, Jonathan Wong, Curtis Drucker, Steven Raman, Balan Sethu Microsoft SQL Server Redmond WA 98052 USA Microsoft Res 1 Microsoft Way Redmond WA 98052 USA

关键词： Visualization

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Real-time spatio-temporal analytics using microsoft StreamInsight 10

Real-time spatio-temporal analytics using microsoft StreamIn...

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Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems

作者： Ali, Mohamed Chandramouli, Badrish Raman, Balan S. Katibah, Ed Microsoft SQL Server United States Microsoft Research United States

ISBN: (纸本)9781450304283

microsoft StreamInsight (StreamInsight, for brevity) is a platform for developing and deploying streaming applications that run continuous queries over high-rate streaming events. StreamInsight adopts a temporal stream model to handle imperfections in event delivery and define consistency guarantees on the output. This demo highlights the ability of StreamInsight to monitor, analyze and correlate spatio-temporal stream data that is generated by moving objects. The demo scenario is based on the microsoft Shuttle Service where GPS readings are generated and streamed by shuttles as they move around the microsoft main campus in Redmond, WA. The demo presents a set of relational continuous queries as well as various real-time analytics that help improve the efficiency of the shuttle service in terms of the average wait time per passenger and the average daily mileage per shuttle. © 2010 ACM.

关键词： Windows operating system

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An extensible test framework for the microsoft StreamInsight query processor 3

An extensible test framework for the Microsoft StreamInsight...

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3rd International Workshop on Testing Database Systems, DBTest 2010

作者： Raizman, Alex Ananthanarayan, Asvin Kirilov, Anton Chandramouli, Badrish Ali, Mohamed Microsoft SQL Server United States Microsoft Research United States

ISBN: (纸本)9781450301909

microsoft StreamInsight (StreamInsight, for brevity) is a platform for developing and deploying streaming applications. StreamInsight adopts a deterministic stream model that leverages a temporal algebra as the underlying basis for processing long-running continuous queries. In most streaming applications, continuous query processing demands the ability to cope with high input rates that are characterized by imperfections in event delivery (i.e., incomplete or out-of-order data). StreamInsight is architected to handle imperfections in event delivery, to generate real-time low-latency output, and to provide correctness guarantees on the resultant output. On one hand, streaming operators are similar to their well-understood relational counterparts - with a precise algebra as the basis of their behavior. On the other hand, streaming operators are unique in their non-blocking nature, which guarantees low-latency and incremental result delivery. While our deterministic temporal algebra paves the way towards easier testing of the streaming system, one unique challenge is that as the field evolves with more customers adopting streaming solutions, the semantics, behavior, and variety of operators is constantly under churn. This paper overviews the test framework for the StreamInsight query processor and highlights the challenges in verifying the functional correctness of its operators. The paper discusses the extensibility and the reusability of the proposed streaming test infrastructure, as the research and industrial communities address new and constantly evolving challenges in stream query processing. © 2010 ACM.

关键词： Algebra

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Filtered Statistics

Filtered Statistics

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35th ACM SIGMOD Conference

作者： Terlecki, Pawel Bati, Hardik Galindo-Legaria, Cesar Zabback, Peter Microsoft SQL Server Redmond WA 98052 USA

ISBN: (纸本)9781605585543

Column statistics are an important element of cardinality estimation frameworks. More accurate estimates allow the optimizer of a RDBMS to generate better plans and improve the overall system's efficiency. This paper introduces filtered statistics, which model value distribution over a set of rows restricted by a predicate. This feature, available in microsoft sql server, can be used to handle column correlation, as well as focus on interesting data ranges. In particular, it fits well for scenarios with logical subtables, like flexible schema or multi-tenant applications. Integration with the existing cardinality estimation infrastructure is presented.

关键词： cardinality estimation conditional data distribution flexible schema multi-tenant application

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microsoft CEP server and Online Behavioral Targeting

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PROCEEDINGS OF THE VLDB ENDOWMENT 2009年第2期2卷 1558-1561页

作者： Ali, M. H. Gerea, C. Raman, B. S. Sezgin, B. Tarnavski, T. Verona, T. Wang, P. Zabback, P. Ananthanarayan, A. Kirilov, A. Lu, M. Raizman, A. Krishnan, R. Schindlauer, R. Grabs, T. Bjeletich, S. Chandramouli, B. Goldstein, J. Bhat, S. Li, Ying Di Nicola, V. Wang, X. Maier, David Grell, S. Nano, O. Santos, I. Microsoft SQL Server Richmond VA 98052 USA Microsoft Res Redmond WA USA Microsoft Audience Intelligence Redmond WA USA Portland State Univ Dept CS Portland OR 97207 USA

In this demo, we present the microsoft Complex Event Processing (CEP) server, microsoft CEP for short. microsoft CEP is an event stream processing system featured by its declarative query language and its multiple consistency levels of stream query processing. Query composability, query fusing, and operator sharing are key features in the microsoft CEP query processor. Moreover, the debugging and supportability tools of microsoft CEP provide visibility of system internals to users. Web click analysis has been crucial to behavior-based online marketing. Streams of web click events provide a typical workload for a CEP server. Meanwhile, a CEP server with its processing capabilities plays a key role in web click analysis. This demo highlights the features of microsoft CEP under a workload of web click events.

关键词： Query languages

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Different query verification approaches used to test entity sql

Different query verification approaches used to test entity ...

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1st International Workshop on Testing Database Systems, DBTest 2008

作者： Chordia, Sushil Dettinger, Eric Triou, Ed Microsoft SQL Server One Microsoft Way Redmond WA 98052-6399 United States

ISBN: (纸本)9781605582337

Testing a query language is a complex and challenging task. A tester must determine the representative subset of queries which must be tested from an infinite set of valid queries. Once the representative set of queries is determined, they then face the task of verifying the results returned when the queries are executed. In this paper, we describe the following four verification approaches we have used to test Entity sql (esql) queries: QueryBuilder, Query Mutations, Reverse Query Processing, and a Baseline Framework. We provide a general overview of each of the verification techniques, and where relevant we provide a description of the specific implementation details used to test esql. We also provide our observations about each of the verification techniques. Copyright 2008 ACM.

关键词： Query processing

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Testing challenges for extending sql server's Query Processor: A case study

Testing challenges for extending SQL server's Query Processo...

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1st International Workshop on Testing Database Systems, DBTest 2008

作者： Grabs, Torsten Herbert, Steve Zhang, Xin Microsoft SQL Server Microsoft Corp. One Microsoft Way Redmond WA 98052 United States

ISBN: (纸本)9781605582337

With enterprise-class database systems like microsoft sql server, changing mission-critical components such as the relational database engine pose significant challenges to the engineering teams involved. This is because customers carefully configure, tune, and test applications and the underlying database system for their specific scenario to ensure they achieve desirable performance. This situation poses particular challenges for developing and extending existing database components of high complexity such as relational query processing where a change to a policy or heuristics may adversely affect performance of a customer workload [1]. Mitigating risk of regressions through a variety of testing and validation techniques during development is essential for the database system engineering team. In this paper, we present a case study to demonstrate the challenges of testing an extension to the query processor in microsoft sql server 2008 targeted at improved query performance for star join queries [2], We discuss the unique range of problem spaces which must be addressed, and present an overview of the variety of techniques that are used to provide a high level of quality. Our main contribution is an iterative process of interleaved development and performance test phases using customer workloads to quantify performance improvement and to limit regressions. We present our experiences with this approach and explore some future opportunities with the hope that they will encourage discussion and additional research in the area of query processor architecture and testing. Copyright 2008 ACM.

关键词： Query processing

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Filtered indices and their use in flexible schema scenarios

Filtered indices and their use in flexible schema scenarios

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24th IEEE International Conference on Data Engineering/ 1st International Workshop on Secure Semantic Web

作者： Acharya, Srini Galindo-Legaria, Cesar Joshi, Milind Krishnaswamy, Babu Stefani, Stefano Terlecki, Pawel Microsoft SQL Server 1 Microsoft Way Redmond WA 98052 USA

ISBN: (纸本)9781424418367

Efficient and convenient handling of heterogeneous data is a current challenge for data management systems. In this paper, we discuss several common relational approaches to represent heterogeneity and argue for a design based on a single wide-table, referred to as a flexible schema. For this scenario, we focus on partial indexation and its support for efficient data storage and processing. Filtered indices provide partial indexation functionality in the microsoft sql server product. We describe here the implementation of this feature, including index utilization in queries, index maintenance and query parameterization issues. Our performance experiments validate the expected benefits of the approach in our implementation.

关键词： Data handling

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Cross feature testing in database systems

Cross feature testing in database systems

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1st International Workshop on Testing Database Systems, DBTest 2008

作者： Hsueh, Sung Ranasaria, Arvind Microsoft SQL Server Microsoft Corp. One Microsoft Way Redmond WA 98052 United States

ISBN: (纸本)9781605582337

Cross feature testing is a generic term that refers to testing one or more features together. In this paper, we discuss what cross feature testing in a database system specifically entails. We will identify and explain some of the dependencies amongst feature interactions and how they are categorized. We also review some of the problem symptoms that can occur from cross feature failures. Some strategies to address these issues as they relate to the database are also discussed, but a thorough analysis of any cross feature test solutions is beyond the scope of this paper the goal of which is to provide a basis for future dialog on this topic. Copyright 2008 ACM.

关键词： Database systems

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