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G-OLA: Generalized On-Line Aggregation for Interactive Analysis on Big Data

Summary: G-OLA generalizes online aggregation to support OLAP queries with arbitrarily nested aggregates via delta-maintenance in a mini-batch model. Implemented in FluoDB atop Spark; scales to 100 nodes processing ~10 TB of logs with real-time dashboards. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h3eb3c63af1bfefb4
Venue
SIGMOD
Year
2015
Pagerank
9.4470874e-05
Overall Rank
1,874 | 87.44%
DOI
10.1145/2723372.2735381

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{zeng_sigmod15,
        title = {{G-OLA: Generalized On-Line Aggregation for Interactive Analysis on Big Data}},
        author = {Zeng, Kai and Agarwal, Sameer and Dave, Ankur and Armbrust, Michael and Stoica, Ion},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2735381},
        url = {https://dl.acm.org/doi/10.1145/2723372.2735381},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 25 of 25 citing papers.

Rank Citing Paper Year Venue Pagerank
23 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00055523999
594 Wander Join: Online Aggregation via Random Walks 2016 SIGMOD 0.00015814493
770 VerdictDB: Universalizing Approximate Query Processing 2018 SIGMOD 0.00014086699
793 Random Sampling over Joins Revisited 2018 SIGMOD 0.00013903938
841 Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters 2016 SIGMOD 0.00013503124
1,065 Approximate Query Processing: No Silver Bullet 2017 SIGMOD 0.00012181098
1,416 Northstar: An Interactive Data Science System 2018 VLDB 0.00010707248
2,040 Database Learning: Toward a Database that Becomes Smarter Every Time 2017 SIGMOD 9.1319608e-05
2,871 SnappyData: A Unified Cluster for Streaming, Transactions, and Interactive Analytics 2017 CIDR 7.9024682e-05
3,428 Revisiting Reuse for Approximate Query Processing 2017 VLDB 7.2957009e-05
3,466 Scaling Spark in the Real World: Performance and Usability 2015 VLDB 7.2609893e-05
3,658 Davos: A System for Interactive Data-Driven Decision Making 2021 VLDB 7.1100991e-05
4,229 Efficient Selection of Geospatial Data on Maps for Interactive and Visualized Exploration 2018 SIGMOD 6.7068084e-05
5,049 Adaptive Sampling for Rapidly Matching Histograms 2018 VLDB 6.287033e-05
5,399 At-the-time and Back-in-time Persistent Sketches 2021 SIGMOD 6.1336701e-05
5,944 Hillview: A trillion-cell spreadsheet for big data 2019 VLDB 5.9213827e-05
6,014 Approximate Query Engines: Commercial Challenges and Research Opportunities 2017 SIGMOD 5.8956963e-05
6,232 iOLAP: Managing Uncertainty for Efficient Incremental OLAP 2016 SIGMOD 5.8255726e-05
7,232 Marviq: Quality-Aware Geospatial Visualization of Range-Selection Queries Using Materialization 2020 SIGMOD 5.563377e-05
7,745 PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees 2025 SIGMOD 5.4457135e-05
7,950 Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines 2024 VLDB 5.402957e-05
9,074 TabEE: Tabular Embeddings Explanations 2024 SIGMOD 5.2114119e-05
9,608 A Step Toward Deep Online Aggregation 2023 SIGMOD 5.1376962e-05
10,344 DeepOLA: Online Aggregation for Deeply Nested Queries 2022 SIGMOD 5.0197268e-05
12,194 Query-Driven Learning for Next Generation Predictive Modeling & Analytics 2019 SIGMOD 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

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

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