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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
hfbda4724b95b06eb
Venue
VLDB
Year
2023
Pagerank
5.8195258e-05
Overall Rank
6,296 | 57.67%
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 12 of 12 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
15 How Good Are Query Optimizers, Really? 2016 VLDB 0.00061066921
21 Efficiently Compiling Efficient Query Plans for Modern Hardware 2011 VLDB 0.00056855599
71 DuckDB: an Embeddable Analytical Database 2019 SIGMOD 0.00037720227
93 Encapsulation of Parallelism in the Volcano Query Processing System 1990 SIGMOD 0.00034622929
215 Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age 2014 SIGMOD 0.00024598661
373 Umbra: A Disk-Based System with In-Memory Performance 2020 CIDR 0.00019711632
479 The Making of TPC-DS 2006 VLDB 0.00017622471
495 Building Efficient Query Engines in a High-Level Language 2014 VLDB 0.00017370758
605 Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask 2018 VLDB 0.00015647561
1,193 Weld: A Common Runtime for High Performance Data Analytics 2017 CIDR 0.0001158809
1,424 Velox: Meta's Unified Execution Engine 2022 VLDB 0.00010719232
1,473 Voodoo - A Vector Algebra for Portable Database Performance on Modern Hardware 2016 VLDB 0.00010557973
1,494 Graph Pattern Matching in GQL and SQL/PGQ 2022 SIGMOD 0.00010502195
1,742 How to Architect a Query Compiler 2016 SIGMOD 9.7378418e-05
1,747 HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines 2019 VLDB 9.7335416e-05
1,786 Procedural Extensions of SQL: Understanding their usage in the wild 2021 VLDB 9.6326265e-05
2,182 Extending Relational Query Processing with ML Inference 2020 CIDR 8.8982998e-05
2,249 Evaluating End-to-End Optimization for Data Analytics Applications in Weld 2018 VLDB 8.7549752e-05
3,642 User-Defined Operators: Efficiently Integrating Custom Algorithms into Modern Databases 2022 VLDB 7.1416697e-05
3,985 Designing an Open Framework for Query Optimization and Compilation 2022 VLDB 6.8730085e-05
4,199 Adaptive Work Placement for Query Processing on Heterogeneous Computing Resources 2017 VLDB 6.7410637e-05
4,209 Accelerating Queries with Group-By and Join by Groupjoin 2011 VLDB 6.7339503e-05
5,543 Charting the Design Space of Query Execution using VOILA 2021 VLDB 6.0889645e-05
5,771 Database Technology for the Masses: Sub-Operators as First-Class Entities 2021 VLDB 5.9992698e-05
6,212 YeSQL: "You extend SQL" with Rich and Highly Performant User-Defined Functions in Relational Databases 2022 VLDB 5.8480745e-05
7,029 The Case for Deep Query Optimisation 2020 CIDR 5.6174811e-05
7,451 Modularis: Modular Relational Analytics over Heterogeneous Distributed Platforms 2021 VLDB 5.5236802e-05
7,866 Building Advanced SQL Analytics From Low-Level Plan Operators 2021 SIGMOD 5.4365876e-05
7,962 Excalibur: A Virtual Machine for Adaptive Fine-grained JIT-Compiled Query Execution based on VOILA 2023 VLDB 5.4167003e-05
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