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Micro Adaptivity in Vectorwise

Summary: Micro Adaptivity keeps multiple primitive flavors and uses an epsilon-greedy learner to select a flavor, addressing performance diversity. Implemented in Vectorwise; micro-benchmarks and a TPC-H evaluation show robust, improved performance with less tuning. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4762
Venue
SIGMOD
Year
2013
Pagerank
7.6481177e-05
Overall Rank
3,195 | 78.09%
DOI
10.1145/2463676.2465292

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{raducanu_sigmod13,
        title = {{Micro Adaptivity in Vectorwise}},
        author = {Răducanu, Bogdan and Boncz, Peter and Żukowski, Marcin},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2465292},
        url = {https://dl.acm.org/doi/10.1145/2463676.2465292},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 20 of 20 citing papers.

Rank Citing Paper Year Venue Pagerank
649 Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask 2018 VLDB 0.00015320656
941 Data Blocks: Hybrid OLTP and OLAP on Compressed Storage using both Vectorization and Compilation 2016 SIGMOD 0.00013078348
1,442 An Architecture for Compiling UDF-centric Workflows 2015 VLDB 0.00010778486
1,824 Photon: A Fast Query Engine for Lakehouse Systems 2022 SIGMOD 9.6734544e-05
2,156 Quickstep: A Data Platform Based on the Scaling-Up Approach 2018 VLDB 9.0635624e-05
2,414 Filter Before You Parse: Faster Analytics on Raw Data with Sparser 2018 VLDB 8.6078841e-05
2,823 Query Processing on Tensor Computation Runtimes 2022 VLDB 8.0893814e-05
5,000 Permutable Compiled Queries: Dynamically Adapting Compiled Queries without Recompiling 2021 VLDB 6.4069917e-05
6,207 The 3D Hash Join: Building On Non-Unique Join Attributes 2022 CIDR 5.9429869e-05
6,263 Database Technology for the Masses: Sub-Operators as First-Class Entities 2021 VLDB 5.936052e-05
6,349 Grizzly: Efficient Stream Processing Through Adaptive Query Compilation 2020 SIGMOD 5.9049304e-05
7,366 Non-Invasive Progressive Optimization for In-Memory Databases 2016 VLDB 5.6322753e-05
7,915 Krypton: Real-time Serving and Analytical SQL Engine at ByteDance 2023 VLDB 5.5181056e-05
8,368 Excalibur: A Virtual Machine for Adaptive Fine-grained JIT-Compiled Query Execution based on VOILA 2023 VLDB 5.4419148e-05
8,494 POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance 2024 VLDB 5.4142129e-05
8,636 Adaptive Code Generation for Data-Intensive Analytics 2021 VLDB 5.3954959e-05
10,096 Out-of-order Execution of Database Queries 2020 VLDB 5.1523392e-05
10,662 Data Chunk Compaction in Vectorized Execution 2025 SIGMOD 5.093636e-05
11,015 Freely Moving Between the OLTP and OLAP Worlds: Hermes – an High-Performance OLAP Accelerator for MySQL 2025 VLDB 5.093636e-05
11,200 High-Performance Query Processing with NVMe Arrays: Spilling without Killing Performance 2024 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
14 MonetDB/X100: Hyper-Pipelining Query Execution 2005 CIDR 0.0006312782
193 Continuously Adaptive Continuous Queries over Streams 2002 SIGMOD 0.00025964286
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