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Enabling Adaptive Sampling for Intra-Window Join: Simultaneously Optimizing Quantity and Quality

Summary: FreeSam enables adaptive sampling for streaming intra-window joins, jointly optimizing output size and variance. It blends hybrid sampling with intra-window joins, offering 2D quantity-quality control and latency-predictable, multi-core execution. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
ha8837418bc7c7cb5
Venue
SIGMOD
Year
2024
Pagerank
4.9769913e-05
Overall Rank
11,542 | 22.43%
DOI
10.1145/3677134

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{tang_sigmod24,
        title = {{Enabling Adaptive Sampling for Intra-Window Join: Simultaneously Optimizing Quantity and Quality}},
        author = {Tang, Xilin and Zhang, Feng and Zhang, Shuhao and Liu, Yani and He, Bingsheng and Du, Xiaoyong},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3677134},
        url = {https://dl.acm.org/doi/10.1145/3677134},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
5,717 Tribase: A Vector Data Query Engine for Reliable and Lossless Pruning Compression using Triangle Inequalities 2025 SIGMOD 6.0166864e-05
10,787 Succinct and Fast Tiny Pointer Hash Tables 2026 VLDB 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 50 of 62 cited papers.

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

Rank Cited Paper Year Venue Pagerank
57 On Random Sampling over Joins 1999 SIGMOD 0.00040095727
135 Ripple Joins for Online Aggregation 1999 SIGMOD 0.00029858107
138 Join Synopses for Approximate Query Answering 1999 SIGMOD 0.00029618887
210 Sort vs. Hash Revisited: Fast Join Implementation on Modern Multi-Core CPUs 2009 VLDB 0.00024844328
251 Multi-Core, Main-Memory Joins: Sort vs. Hash Revisited 2014 VLDB 0.00023136934
362 Design and Evaluation of Main Memory Hash Join Algorithms for Multi-core CPUs 2011 SIGMOD 0.00019999596
596 Wander Join: Online Aggregation via Random Walks 2016 SIGMOD 0.00015782051
723 Efficient Implementation of Sorting on Multi-Core SIMD CPU Architecture 2008 VLDB 0.00014507399
746 Bifocal Sampling for Skew-Resistant Join Size Estimation 1996 SIGMOD 0.00014282427
749 Join Size Estimation Subject to Filter Conditions 2015 VLDB 0.00014261044
795 Random Sampling over Joins Revisited 2018 SIGMOD 0.00013934719
841 Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters 2016 SIGMOD 0.00013543
889 SuRF: Practical Range Query Filtering with Fast Succinct Tries 2018 SIGMOD 0.00013243846
930 Dynamic Sample Selection for Approximate Query Processing 2003 SIGMOD 0.00013009255
981 Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation 2022 VLDB 0.00012713454
1,011 Query Size Estimation by Adaptive Sampling (Extended Abstract) 1990 PODS 0.00012524973
1,021 Online Aggregation for Large MapReduce Jobs 2011 VLDB 0.00012437619
1,090 Scalable Approximate Query Processing With The DBO Engine 2007 SIGMOD 0.00012074369
1,320 Augmented Sketch: Faster and More Accurate Stream Processing 2016 SIGMOD 0.00011040663
1,388 How Soccer Players Would do Stream Joins 2011 SIGMOD 0.00010820564
1,431 Approximate Join Processing Over Data Streams 2003 SIGMOD 0.00010676907
1,465 Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities 2019 SIGMOD 0.00010572023
1,482 Skew in Parallel Query Processing 2014 PODS 0.00010534147
1,678 Two-Level Sampling for Join Size Estimation 2017 SIGMOD 9.9056116e-05
1,916 The Analytical Bootstrap: a New Method for Fast Error Estimation in Approximate Query Processing 2014 SIGMOD 9.3822742e-05
2,217 Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models 2017 VLDB 8.8151982e-05
2,219 DAQ: A New Paradigm for Approximate Query Processing 2015 VLDB 8.8127129e-05
2,464 Output-optimal Parallel Algorithms for Similarity Joins 2017 PODS 8.4221003e-05
2,845 Progressive Merge Join: A Generic and Non-Blocking Sort-Based Join Algorithm 2002 VLDB 7.9439702e-05
2,956 Scalable and Adaptive Online Joins 2014 VLDB 7.8100535e-05
3,494 On Join Sampling and the Hardness of Combinatorial Output-Sensitive Join Algorithms 2023 PODS 7.2548566e-05
3,603 Scalable Distributed Stream Join Processing 2015 SIGMOD 7.1701004e-05
3,628 Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects 2022 SIGMOD 7.1490678e-05
3,729 Memory-Limited Execution of Windowed Stream Joins 2004 VLDB 7.0664086e-05
3,872 A Bi-Level Bernoulli Scheme for Database Sampling 2004 SIGMOD 6.9512121e-05
3,935 Operator Placement for In-Network Stream Query Processing 2005 PODS 6.91442e-05
4,024 Real-Time Multi-Pattern Detection over Event Streams 2019 SIGMOD 6.8444194e-05
4,313 On Biased Reservoir Sampling in the Presence of Stream Evolution 2006 VLDB 6.667311e-05
4,644 Efficient Join Synopsis Maintenance for Data Warehouse 2020 SIGMOD 6.4869417e-05
4,929 Efficient Sampling Approaches to Shapley Value Approximation 2023 SIGMOD 6.3471946e-05
5,325 Sampling Algorithms in a Stream Operator 2005 SIGMOD 6.1799938e-05
5,376 Distributed GPU Joins on Fast RDMA-capable Networks 2023 SIGMOD 6.1555648e-05
5,429 Efficient Massively Parallel Join Optimization for Large Queries* 2022 SIGMOD 6.1320252e-05
5,439 Low-Latency Handshake Join 2014 VLDB 6.1276749e-05
5,657 PGMJoins: Random Join Sampling with Graphical Models 2021 SIGMOD 6.0461e-05
5,829 Joins on Samples: A Theoretical Guide for Practitioners 2020 VLDB 5.9764044e-05
6,002 Approximate Query Engines: Commercial Challenges and Research Opportunities 2017 SIGMOD 5.9149725e-05
6,538 AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting 2023 SIGMOD 5.7511254e-05
6,613 Making In-Memory Learned Indexes Efficient on Disk 2024 SIGMOD 5.7326443e-05
7,968 Parallelizing Intra-Window Join on Multicores: An Experimental Study 2021 SIGMOD 5.4139853e-05
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