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This paper outlines certain scenarios from the fields of astrophysics andfluid dynamics simulations which require high performance data warehouses thatsupport array data type. A common feature of all these use cases is thatsubsetting and preprocessing the data on the server side (as far as possibleinside the database server process) is necessary to avoid the client-serveroverhead and to minimize IO utilization. Analyzing and summarizing therequirements of the various fields help software engineers to come up with acomprehensive design of an array extension to relational database systems thatcovers a wide range of scientific applications. We also present a workingimplementation of an array data type for Microsoft SQL Server 2008 to supportlarge-scale scientific applications. We introduce the design of the array type,results from a performance evaluation, and discuss the lessons learned fromthis implementation. The library can be downloaded from our website athttp://voservices.net/sqlarray/

Array Requirements for Scientific Applications and an Implementation for Microsoft SQL Server