Optimised X-HYBRIDJOIN for Near-Real-Time Data Warehousing

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Provided by: Australian Computer Society
Topic: Data Management
Format: PDF
Stream-based join algorithms are needed in modern near-real-time data warehouses. A particular class of stream-based join algorithms, with MESHJOIN as a typical example, computes the join between a stream and a disk-based relation. Recently the authors have presented a new algorithm X-HYBRIDJOIN (EXtended HYBRID JOIN) in that class. X-HYBRIDJOIN achieves better performance compared to earlier algorithms by pinning frequently accessed data from the disk-based relation in main memory. Apart from being held in main memory, X-HYBRIDJOIN treats this frequently accessed data no differently than other data from the disk-based relation.
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