Memory Efficient Scheduling of Query Pipeline Execution

Summary: Exploit ordering of pipeline executions between pipeline breakers to minimize peak memory usage, formalizing the scheduling problem and search space. Present a formal model and four optimal/heuristic algorithms, with a prototype and Join Order Benchmark results showing notable memory savings and low planning overhead. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 470
Venue: CIDR
Year: 2022
Pagerank: 4.3314303e-05
Overall Rank: 9,466 | 34.22%
DOI: 10.1145/1122445.1122456

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,845	Experimental Evaluation of Optimizing Memory Consumption in SAP HANA Using PEOopt	2025	SIGMOD	4.4331879e-05
9,956	How to Optimize SQL Queries? A Comparison Between Split, Holistic, and Hybrid Approaches	2025	VLDB	4.2332427e-05
11,155	Pipeline Group Optimization on Disaggregated Systems	2023	CIDR	4.1905499e-05

Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
35	MonetDB/X100: Hyper-Pipelining Query Execution	2005	CIDR	0.00076209479
59	Efficiently Compiling Efficient Query Plans for Modern Hardware	2011	VLDB	0.0006445664
417	Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age	2014	SIGMOD	0.00023734582
650	Robust Query Processing through Progressive Optimization	2004	SIGMOD	0.0001865144
876	Plan-Structured Deep Neural Network Models for Query Performance Prediction	2019	VLDB	0.00015660534
1,136	Chain: Operator Scheduling for Memory Minimization in Data Stream Systems	2003	SIGMOD	0.00013745517
4,075	Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads	2013	VLDB	6.4699689e-05
5,020	Adaptive HTAP through Elastic Resource Scheduling	2020	SIGMOD	5.7482116e-05
6,763	Robustness Metrics for Relational Query Execution Plans	2018	VLDB	4.9291549e-05
8,193	On the Calculation of Optimality Ranges for Relational Query Execution Plans	2018	SIGMOD	4.5575291e-05

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