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Adaptive Optimizations of Recursive Queries in Teradata

Summary: Adaptive optimization for Teradata recursive queries. Proposes a hybrid of multi-iteration pre-planning and dynamic feedback, avoiding static plans and full-feedback costs, enabling inter-iteration optimization for ANSI SQL recursive queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4609
Venue
SIGMOD
Year
2012
Pagerank
4.6328993e-05
Overall Rank
7,863 | 45.30%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
3,988 All-in-One: Graph Processing in RDBMSs Revisited 2017 SIGMOD 6.5589605e-05
4,696 Asynchronous and Fault-Tolerant Recursive Datalog Evaluation in Shared-Nothing Engines 2015 VLDB 5.9911301e-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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