On the performance and use of spatial OLAP tools

R. G. Bianchi, Guilherme Yuki Hatano, Thiago Luís Lopes Siqueira
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引用次数: 5

Abstract

Spatial data warehouses provide a means of carrying out spatial analysis together with agile and flexible multidimensional analytical queries performed by SOLAP tools. However, queries are processed with slow query response times and functionalities of these tools are still insufficient, such as the support for a variety of spatial data warehouse schemas. In this paper, we conduct an experimental evaluation of existing open source software as SOLAP tool and database management system, to analyze its functionalities and query processing performance. Furthermore, we describe and evaluate our novel SOLAP tool called MapQuery that reuses efficient indices to boost query processing performance. Results derived from our performance evaluation indicated that MapQuery shortened the response time of queries from at least 63% up to 92% if compared to existing solutions.
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空间OLAP工具的性能和使用
空间数据仓库提供了一种执行空间分析的方法,以及由SOLAP工具执行的敏捷和灵活的多维分析查询。但是,处理查询的查询响应时间较慢,而且这些工具的功能仍然不足,例如对各种空间数据仓库模式的支持。本文对现有的开源软件SOLAP工具和数据库管理系统进行了实验评估,分析了其功能和查询处理性能。此外,我们描述并评估了新的SOLAP工具MapQuery,该工具重用高效索引来提高查询处理性能。从我们的性能评估得出的结果表明,与现有的解决方案相比,MapQuery将查询的响应时间从至少63%缩短到92%。
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