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Scalable Computation of Acyclic Joins (Extended Abstract)

Summary: Computes acyclic joins of k fully-reduced relations in O(sort(n+z)) I/Os for a broad class of acyclic graphs, eliminating prior Ω((n+z)k) dependence on k and matching reducer+sort cost. Uses subset-size estimates to place tuples (avoids binary decomposition) and gives a 3-cycle bound O(n^2/m+sort(n+z)). (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1394
Venue
PODS
Year
2006
Pagerank
7.0220813e-05
Overall Rank
3,515 | 75.55%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
502 Worst-case Optimal Join Algorithms 2012 PODS 0.00021526612
1,557 Beyond Worst-case Analysis for Joins with Minesweeper 2014 PODS 0.00011392493
2,154 DIFF: A Relational Interface for Large-Scale Data Explanation 2019 VLDB 9.4208667e-05
2,997 Subgraph Matching: on Compression and Computation 2018 VLDB 7.7559339e-05
4,432 Towards a Worst-Case I/O-Optimal Algorithm for Acyclic Joins 2016 PODS 6.1938383e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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