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A Scalable, Predictable Join Operator for Highly Concurrent Data Warehouses
Summary: A single always-on, non-blocking join plan shares I/O, computation, and tuple storage across concurrent queries, with runtime control adapting to the query mix. Delivers scalable, predictable throughput and up to 10× speedups over commercial engines.
(summarized by gpt-5.6-luna on Jul 24 2026)
Paper ID
h6b15fad36779b917
Venue
VLDB
Year
2009
Pagerank
0.00012389548
Overall Rank
1,034 | 93.06%
DOI
10.14778/1687627.1687659
Incoming Non-self Citations Over Time
BibTeX Citation
@article{candea_vldb09,
title = {{A Scalable, Predictable Join Operator for Highly Concurrent Data Warehouses}},
author = {Candea, George and Polyzotis, Neoklis and Vingralek, Radek},
journal = {PVLDB},
series = {{VLDB} '09},
doi = {10.14778/1687627.1687659},
url = {https://doi.org/10.14778/1687627.1687659},
year = {2009}
}
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Showing 35 of 35 citing papers.
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The Yin and Yang of Processing Data Warehousing Queries on GPU Devices 2013
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MRShare: Sharing Across Multiple Queries in MapReduce 2010
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The DataPath System: A Data-Centric Analytic Processing Engine for Large Data Warehouses 2010
SIGMOD
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BatchDB: Efficient Isolated Execution of Hybrid OLTP+OLAP Workloads for Interactive Applications 2017
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Towards a One Size Fits All Database Architecture 2011
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Shared Workload Optimization 2014
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Parallel Data Analysis Directly on Scientific File Formats 2014
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Continuous Sampling for Online Aggregation Over Multiple Queries 2010
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7.6607519e-05
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On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML 2018
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QuickFOIL: Scalable Inductive Logic Programming 2015
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Sharing Data and Work Across Concurrent Analytical Queries 2013
VLDB
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4,402
Shared Arrangements: practical inter-query sharing for streaming dataflows 2020
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4,732
MQJoin: Efficient Shared Execution of Main-Memory Joins 2016
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4,913
A Top-Down Approach to Achieving Performance Predictability in Database Systems 2017
SIGMOD
6.3548977e-05
5,638
Revisiting Reuse in Main Memory Database Systems 2017
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Database Technology for the Masses: Sub-Operators as First-Class Entities 2021
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5.9964298e-05
5,776
Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries 2023
SIGMOD
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6,260
COD: Database / Operating System Co-Design 2013
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AStream: Ad-hoc Shared Stream Processing 2019
SIGMOD
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CrocodileDB: Efficient Database Execution through Intelligent Deferment 2020
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7,344
Scalable Multi-Query Execution using Reinforcement Learning 2021
SIGMOD
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Resource-efficient Shared Query Execution via Exploiting Time Slackness 2021
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5.4649863e-05
8,019
AJoin: Ad-hoc Stream Joins at Scale 2020
VLDB
5.4045347e-05
8,234
Operational Analytics Data Management Systems 2016
VLDB
5.3712067e-05
8,481
ParTime: Parallel Temporal Aggregation 2016
SIGMOD
5.3318655e-05
9,060
Optimizing Disjunctive Queries with Tagged Execution 2024
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How to Stop Under-Utilization and Love Multicores 2014
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Online Optimization and Fair Costing for Dynamic Data Sharing in a Cloud Data Market 2014
SIGMOD
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10,322
RAPID: In-Memory Analytical Query Processing Engine with Extreme Performance per Watt 2018
SIGMOD
5.0362412e-05
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Mayura: Exploiting Similarities in Motifs for Temporal Co-Mining 2025
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11,467
Oligolithic Cross-task Optimizations across Isolated Workloads* 2024
CIDR
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SH2O: Efficient Data Access for Work-Sharing Databases 2023
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Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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