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Anser: Adaptive Information Sharing Framework of AnalyticDB

Summary: Anser adds a system-wide information-sharing layer to AnalyticDB to manage runtime statistics across nodes for holistic adaptive processing. Its scheduler optimizes data and information exchanges in physical plans to speed complex analytical queries while preserving interactive-query latency. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13381
Venue
VLDB
Year
2023
Pagerank
5.093636e-05
Overall Rank
11,466 | 21.34%
DOI
10.14778/3611540.3611553

Incoming Non-self Citations Over Time

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

Authors

BibTeX Citation

@article{lin_vldb23,
        title = {{Anser: Adaptive Information Sharing Framework of AnalyticDB}},
        author = {Lin, Liang and Li, Yuhan and Wu, Bin and Mai, Huijun and Lou, Renjie and Tan, Jian and Li, Feifei},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {12},
        pages = {3636--3648},
        doi = {10.14778/3611540.3611553},
        url = {https://doi.org/10.14778/3611540.3611553},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
11,151 Flux: Decoupled Auto-Scaling for Heterogeneous Query Workload in Alibaba AnalyticDB 2024 SIGMOD 5.093636e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 22 of 22 cited papers.

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

Rank Cited Paper Year Venue Pagerank
24 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00054865648
53 Eddies: Continuously Adaptive Query Processing 2000 SIGMOD 0.00041071971
71 Including Group-By in Query Optimization 1994 VLDB 0.00038021159
100 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00034385207
151 Efficient Mid-Query Re-Optimization of Sub-Optimal Query Execution Plans 1998 SIGMOD 0.00029161879
198 Aggregate-Query Processing in Data Warehousing Environments 1995 VLDB 0.00025618616
237 Amazon Redshift and the Case for Simpler Data Warehouses 2015 SIGMOD 0.0002369895
242 A Performance Evaluation of Four Parallel Join Algorithms in a Shared-Nothing Multiprocessor Environment 1989 SIGMOD 0.00023604323
406 AnalyticDB-V: A Hybrid Analytical Engine Towards Query Fusion for Structured and Unstructured Data 2020 VLDB 0.00019054532
474 Dynamic Query Evaluation Plans 1989 SIGMOD 0.00017894953
818 Amazon Redshift Re-invented 2022 SIGMOD 0.00013822916
829 Proactive Re-Optimization 2005 SIGMOD 0.00013769838
1,037 Cost-Based Optimization for Magic: Algebra and Implementation 1996 SIGMOD 0.00012494928
1,362 Execution Strategies for SQL Subqueries 2007 SIGMOD 0.00011032204
2,563 AnalyticDB: Real-time OLAP Database System at Alibaba Cloud 2019 VLDB 8.412445e-05
2,664 Adaptive and Big Data Scale Parallel Execution in Oracle 2013 VLDB 8.2816537e-05
2,822 Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings 2020 SIGMOD 8.0898536e-05
3,035 Instance-Optimized Data Layouts for Cloud Analytics Workloads 2021 SIGMOD 7.8297746e-05
4,283 Lifting the Burden of History from Adaptive Query Processing 2004 VLDB 6.7836167e-05
5,770 Closing The Query Processing Loop in Oracle 11g 2008 VLDB 6.0934173e-05
6,107 Adaptive Query Processing: Why, How, When, What Next 2006 SIGMOD 5.9734944e-05
8,439 New Query Optimization Techniques in the Spark Engine of Azure Synapse 2022 VLDB 5.4248071e-05
Previous Page 1 / 1 Next

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