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Revisiting Pipelined Parallelism in Multi-Join Query Processing

Summary: Challenging the assumption that maximal pipelined parallelism is best for multi-join processing. Proposes segmented bushy processing that blends parallelism forms, achieving about 50% faster total processing than state-of-the-art on a real cluster. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9551
Venue
VLDB
Year
2005
Pagerank
5.8550491e-05
Overall Rank
6,515 | 55.31%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{liu_vldb05,
        title = {{Revisiting Pipelined Parallelism in Multi-Join Query Processing}},
        author = {Liu, Bin and Rundensteiner, Elke A.},
        journal = {PVLDB},
        series = {{VLDB} '05},
        pages = {829},
        year = {2005}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
631 Relational Joins on Graphics Processors 2008 SIGMOD 0.00015591241
7,915 Krypton: Real-time Serving and Analytical SQL Engine at ByteDance 2023 VLDB 5.5181056e-05
9,269 A Dynamically Adaptive Distributed System for Processing Complex Continuous Queries 2005 VLDB 5.295102e-05
10,096 Out-of-order Execution of Database Queries 2020 VLDB 5.1523392e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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