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Declarative Sub-Operators for Universal Data Processing

Summary: Unified abstraction layer of declarative sub-operators (in addition to relational operators) to let users declaratively express non-relational workloads and decouple operator semantics from imperative implementations. Enables fine-grained morsel-driven parallelism and automatic optimizations in a compiling query engine, reducing implementation complexity while remaining competitive with specialized systems. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13367
Venue
VLDB
Year
2023
Pagerank
5.940599e-05
Overall Rank
6,253 | 57.10%
DOI
10.14778/3611479.3

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{jungmair_vldb23,
        title = {{Declarative Sub-Operators for Universal Data Processing}},
        author = {Jungmair, Michael and Giceva, Jana},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {11},
        pages = {3461--3474},
        doi = {10.14778/3611479.3},
        url = {https://doi.org/10.14778/3611479.3},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 29 of 29 cited papers.

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

Rank Cited Paper Year Venue Pagerank
18 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059284255
23 Efficiently Compiling Efficient Query Plans for Modern Hardware 2011 VLDB 0.00054886415
98 Encapsulation of Parallelism in the Volcano Query Processing System 1990 SIGMOD 0.00034510605
103 DuckDB: an Embeddable Analytical Database 2019 SIGMOD 0.00034161428
241 Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age 2014 SIGMOD 0.00023654664
422 Umbra: A Disk-Based System with In-Memory Performance 2020 CIDR 0.00018732744
476 The Making of TPC-DS 2006 VLDB 0.00017860667
534 Building Efficient Query Engines in a High-Level Language 2014 VLDB 0.00017046514
649 Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask 2018 VLDB 0.00015320656
1,229 Weld: A Common Runtime for High Performance Data Analytics 2017 CIDR 0.00011578425
1,469 Voodoo - A Vector Algebra for Portable Database Performance on Modern Hardware 2016 VLDB 0.00010678751
1,757 Velox: Meta's Unified Execution Engine 2022 VLDB 9.8166984e-05
1,797 How to Architect a Query Compiler 2016 SIGMOD 9.7368925e-05
1,836 Graph Pattern Matching in GQL and SQL/PGQ 2022 SIGMOD 9.6489549e-05
1,892 Procedural Extensions of SQL: Understanding their usage in the wild 2021 VLDB 9.5277793e-05
1,977 HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines 2019 VLDB 9.3641101e-05
2,293 Extending Relational Query Processing with ML Inference 2020 CIDR 8.7949378e-05
2,316 Evaluating End-to-End Optimization for Data Analytics Applications in Weld 2018 VLDB 8.7596739e-05
4,215 Designing an Open Framework for Query Optimization and Compilation 2022 VLDB 6.8275676e-05
4,223 Accelerating Queries with Group-By and Join by Groupjoin 2011 VLDB 6.8224393e-05
4,273 User-Defined Operators: Efficiently Integrating Custom Algorithms into Modern Databases 2022 VLDB 6.7909197e-05
4,376 Adaptive Work Placement for Query Processing on Heterogeneous Computing Resources 2017 VLDB 6.7364442e-05
5,765 Charting the Design Space of Query Execution using VOILA 2021 VLDB 6.0953705e-05
6,263 Database Technology for the Masses: Sub-Operators as First-Class Entities 2021 VLDB 5.936052e-05
6,314 YeSQL: "You extend SQL" with Rich and Highly Performant User-Defined Functions in Relational Databases 2022 VLDB 5.9157364e-05
7,156 The Case for Deep Query Optimisation 2020 CIDR 5.686096e-05
7,774 Building Advanced SQL Analytics From Low-Level Plan Operators 2021 SIGMOD 5.5468469e-05
7,899 Modularis: Modular Relational Analytics over Heterogeneous Distributed Platforms 2021 VLDB 5.5195553e-05
8,368 Excalibur: A Virtual Machine for Adaptive Fine-grained JIT-Compiled Query Execution based on VOILA 2023 VLDB 5.4419148e-05
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