On Parallel Processing of Aggregate and Scalar Functions in Object-Relational DBMS
Summary: Framework for data-parallel processing of user-defined functions in OR-DBMS; identifies partitionable functions for parallel execution. Adds parallel-sorting to speed broader function families; enables faster decision-support on large data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,203 | PIVOT and UNPIVOT: Optimization and Execution Strategies in an RDBMS | 2004 | VLDB | 0.00013320373 |
| 1,355 | SQL/MapReduce: A practical approach to self-describing, polymorphic, and parallelizable user-defined functions | 2009 | VLDB | 0.00012404572 |
| 3,355 | F1 Query: Declarative Querying at Scale | 2018 | VLDB | 7.1829142e-05 |
| 4,569 | User-Defined Table Operators: Enhancing Extensibility for ORDBMS | 1999 | VLDB | 6.0782978e-05 |
| 8,466 | Building Statistical Models and Scoring with UDFs | 2007 | SIGMOD | 4.5050696e-05 |
| 12,710 | Implementing the Spirit of SQL-99 | 1999 | SIGMOD | 4.1945683e-05 |
| 12,745 | TOPAZ: a Cost-Based, Rule-Driven, Multi-Phase Parallelizer | 1998 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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