Runtime Encoding Execution in AnalyticDB: Efficient Query Executor for Cloud Database
Summary: Proposes Runtime Encoding Execution (REE): apply lightweight, operator-aware encodings inside the Query Executor (decoupled from storage) to accelerate higher-level operators (sort/agg/join) and intermediate results without redesigning storage. Encodings applied opportunistically when compute/memory/cache savings exceed coding overhead, leveraging order-preserving/uniqueness-friendly schemes to enable delayed-decompression-like benefits in cloud/open-store analytical DBs. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Qiaoyi Ding (Alibaba)
BibTeX Citation
@inproceedings{ding_cidr22,
address = {Amsterdam, Netherlands},
series = {{CIDR} '22},
title = {{Runtime Encoding Execution in AnalyticDB: Efficient Query Executor for Cloud Database}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Ding, Qiaoyi},
year = {2022}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,559 | Cloud-Native Database Systems at Alibaba: Opportunities and Challenges | 2019 | VLDB | 0.00010362456 |
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