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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Markl, V. Zirkel, M. Bayer, R. |
| Copyright Year | 1999 |
| Description | Author affiliation: Bayerisches Forschungszentrum fur Wissensbasierte Syst., Munchen, Germany (Markl, V.) |
| Abstract | Most operations of the relational algebra or SQL require a sorted stream of tuples for efficient processing. Therefore, processing complex relational queries relies on efficient access to a table in some sort order. In principle, indexes could be used, but they are superior to a full table scan only if the result set is sufficiently restricted in the index attribute. We present the Tetris algorithm, which utilizes restrictions to process a table in sort order of any attribute without the need for external sorting. The algorithm relies on the space partitioning of a multidimensional access method. A sweep line technique is used to read data in sort order of any attribute, while accessing each disk page of a table only once. Results are produced earlier than with traditional sorting techniques allowing better response times for interactive applications and pipelined processing of the result set. We describe a prototype implementation of the Tetris algorithm using UB-Trees on top of Oracle 8, define a cost model and present performance measurements for some queries of the TPC-D benchmark. |
| Starting Page | 562 |
| Ending Page | 571 |
| File Size | 209100 |
| Page Count | 10 |
| File Format | |
| ISBN | 0769500714 |
| ISSN | 10636382 |
| DOI | 10.1109/ICDE.1999.754972 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-03-23 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sorting Multidimensional systems Relational databases Indexes Query processing Ear Delay Prototypes Costs Warehousing |
| Content Type | Text |
| Resource Type | Article |
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