AQP++: Connecting Approximate Query Processing With Aggregate Precomputation for Interactive Analytics
Summary: Proposes AQP++, unifying sampling-based AQP with precomputation (AggPre) for interactive analytics. For range queries, it blends a sample with aggregates, yielding better preprocess time, latency, and accuracy trade-offs than AQP or AggPre. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jinglin Peng (Simon Fraser University)
- 2. Dongxiang Zhang (National University of Defense Technology)
- 3. Jiannan Wang (Simon Fraser University)
- 4. Jian Pei (JD Group; Simon Fraser University)
BibTeX Citation
@inproceedings{peng_sigmod18,
title = {{AQP++: Connecting Approximate Query Processing With Aggregate Precomputation for Interactive Analytics}},
author = {Peng, Jinglin and Zhang, Dongxiang and Wang, Jiannan and Pei, Jian},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3183747},
url = {https://dl.acm.org/doi/10.1145/3183713.3183747},
year = {2018}
}
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