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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
BibTeX Citation
Copy BibTeX
@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}
}
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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
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0.00056855599
71
DuckDB: an Embeddable Analytical Database
2019
SIGMOD
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93
Encapsulation of Parallelism in the Volcano Query Processing System
1990
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215
Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age
2014
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373
Umbra: A Disk-Based System with In-Memory Performance
2020
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479
The Making of TPC-DS
2006
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495
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2014
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605
Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask
2018
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Weld: A Common Runtime for High Performance Data Analytics
2017
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Velox: Meta's Unified Execution Engine
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Voodoo - A Vector Algebra for Portable Database Performance on Modern Hardware
2016
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Graph Pattern Matching in GQL and SQL/PGQ
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How to Architect a Query Compiler
2016
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2017
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