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Adaptive Data Skipping in Main-Memory Systems

Summary: Adaptive data skipping framework for main-memory scans that adapts metadata reads to arbitrary distributions and workloads, mitigating wasted skips on non-sorted data. Adaptive zonemaps on an in-memory column store prototype yields up to 1.4x speedup, showing data skipping can be tuned to distributions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5226
Venue
SIGMOD
Year
2016
Pagerank
4.9206606e-05
Overall Rank
6,809 | 52.64%
DOI
10.1145/2882903.2914836

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
3,608 Column Sketches: A Scan Accelerator for Rapid and Robust Predicate Evaluation 2018 SIGMOD 6.924272e-05
5,749 BinDex: A Two-Layered Index for Fast and Robust Scans 2020 SIGMOD 5.3418923e-05
9,665 Fingerprints for Compressed Columnar Data Search 2019 SIGMOD 4.3082524e-05
9,887 Graph Exploration: From Users to Large Graphs 2017 SIGMOD 4.2621158e-05
10,179 LiveBin: A Localized and Version-Aware Binned Scan Index 2026 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
241 DB2 with BLU Acceleration: So Much More than Just a Column Store 2013 VLDB 0.00031420034
476 Impala: A Modern, Open-Source SQL Engine for Hadoop 2015 CIDR 0.00022226941
542 Shark: SQL and Rich Analytics at Scale 2013 SIGMOD 0.00020595648
2,444 Brighthouse: An Analytic Data Warehouse for Ad-hoc Queries 2008 VLDB 8.8076551e-05
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