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Data warehousing features in Informix OnLine XPS

机译:Informix Online XPS中的数据仓库功能

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Summary form only given, as follows. The data warehousing application domain is an important area of focus for Informix's OnLine XPS massively parallel server. Fast query processing is a central requirement in this domain. Use of indexes has traditionally been an important query processing technique, helping to reduce response times and increase throughput. The data warehousing environment, characterized by its load-query-refresh mode of operation, offers even greater scope for use of indexes. The article describes three new indexing related features in OnLine XPS which together provide significant performance benefits in a wide variety of situations. Bitmap indexes, along with multi-index scans, provide orders-of-magnitude improvement for queries typified by the set query benchmark. Pushdown semi-joins combine the benefits of multi-index scans with the scalability of hash joins to efficiently process star-joins. Finally, generalized-key indexes expand the notion of what can be an index key and provide the ability to store various pre-computed results in an index. Optimizer extensions allow these features to be used in a mix-n-match fashion, thus maximizing the benefits of these features while minimizing the need for user level directives.
机译:摘要只给出,如下所述。数据仓库应用程序域是Informix在线XPS大规模并行服务器的重要焦点领域。快速查询处理是此域中的核心要求。使用索引传统上是一个重要的查询处理技术,有助于减少响应时间并提高吞吐量。数据仓库环境,以其负载查询 - 刷新操作模式为特征,提供了更大的索引范围。本文介绍在线XP中的三个新索引相关功能,其中在各种情况下共同提供了显着的性能优势。位图索引以及多索引扫描提供了由Set查询基准测试键入的查询的级别改进。推动半加入将多索引扫描的好处与哈希联接的可扩展性有效地处理星形加入。最后,广义关键索引扩展了什么可以是索引密钥的概念,并提供存储各种预先计算结果的能力。优化器扩展允许以混合N匹配方式使用这些功能,从而最大限度地提高这些功能的好处,同时最大限度地减少用户级指令的需求。

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