NDLI: Fast Rollup on Recursive Hierarchy in OLAP

Content Provider	IEEE Xplore Digital Library
Author	Lin Yuan Hengming Zou
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. Sci., Shanghai Jiao Tong Univ. (Lin Yuan; Hengming Zou)
Abstract	Rollup, a key operation in OLAP queries, is to aggregate multidimensional data on dimensional hierarchies. While the operation can be efficiently implemented on regular hierarchies in data warehouse, its application to recursive hierarchies proved to be problematic. Due to the stratification restriction, aggregate is not permitted to be wrapped within SQL recursion. Representing rollup operations on recursive hierarchies as SQL recursive queries will cause considerable overhead and is thus inefficient. This paper proposes an iteration-based evaluation strategy that aims to solve this inefficiency problem in OLAP queries. In our solution, aggregation on recursive hierarchies is modeled as a binary operator tree that is stored in its postfix notation and executed by a push down stack. We also demonstrate how to seamlessly embed this novel strategy into data warehouse that is based on ORDBMS. Experiment results show that our proposed solution is quite efficient compared with the SQL recursive evaluation strategy
Sponsorship	IEEE Comput. Soc. WIC ACM
Starting Page	1019
Ending Page	1028
File Size	2227838
Page Count	10
File Format	PDF
ISBN	0769527477
DOI	10.1109/WI.2006.79
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Multidimensional systems Aggregates Data warehouses Data models Remuneration Application software Delay
Content Type	Text
Resource Type	Article

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