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Optimizing Recursive Queries in SQL

Summary: Optimizes linear recursive SQL queries (transitive closure) via three techniques: early selection evaluation, elimination of duplicates in intermediates, and a specialized index for joins. Evaluations on binary trees and sparse graphs show notable reductions in recursive query time for graph workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3696
Venue
SIGMOD
Year
2005
Pagerank
4.3900304e-05
Overall Rank
9,110 | 36.69%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
7,863 Adaptive Optimizations of Recursive Queries in Teradata 2012 SIGMOD 4.628688e-05
10,415 Dynamic Pruning for Recursive Joins 2025 SIGMOD 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

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

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