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How DuckDB is USING KEY to Unlock Recursive Query Performance

Summary: Investigates USING KEY variant of recursive CTEs in DuckDB, enabling overwriting of previous intermediate results. Shows production-ready integration that reduces union-table size and runtime, validated on LDBC graphs with an interactive demo. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7156
Venue
SIGMOD
Year
2025
Pagerank
4.2783272e-05
Overall Rank
9,811 | 31.75%
DOI
10.1145/3722212.3725107

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,284 FlowLog: Efficient and Extensible Datalog via Incrementality 2026 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

Rank Cited Paper Year Venue Pagerank
185 DuckDB: an Embeddable Analytical Database 2019 SIGMOD 0.00036538405
974 The POSTGRES Data Model 1987 VLDB 0.00014896625
2,919 RaSQL: Greater Power and Performance for Big Data Analytics with Recursive-aggregate-SQL on Spark 2019 SIGMOD 7.9047279e-05
3,668 The LDBC Social Network Benchmark: Business Intelligence Workload 2023 VLDB 6.8591612e-05
5,915 Runtime-Extensible Parsers 2025 CIDR 5.274713e-05
9,700 A Fix for the Fixation on Fixpoints 2023 CIDR 4.3013524e-05
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