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Encoded bitmap indexing for data warehouses

机译:数据仓库的编码位图索引

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Complex query types, huge data volumes, and very high read/update ratios make the indexing techniques designed and tuned for traditional database systems unsuitable for data warehouses (DW). We propose an encoded bitmap indexing for DWs which improves the performance of known bitmap indexing in the case of large cardinality domains. A performance analysis and theorems which identify properties of good encodings for better performance are presented. We compare encoded bitmap indexing with related techniques, such as bit slicing, projection-, dynamic-, and range-based indexing.
机译:复杂的查询类型,庞大的数据量以及非常高的读取/更新比率使为传统数据库系统设计和调整的索引技术不适合数据仓库(DW)。我们提出了一种用于DW的编码位图索引,该索引可在大基数域的情况下提高已知位图索引的性能。提出了一种性能分析和定理,它们确定了良好编码的属性以实现更好的性能。我们将编码的位图索引与相关技术进行比较,例如位切片,基于投影,基于动态和基于范围的索引。

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