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ESDB: Processing Extremely Skewed Workloads in Real-time

Summary: ESDB uses dynamic secondary hashing to tame extremely skewed real-time workloads in a cloud-native document store. Five-year Alibaba Cloud deployment for a mega e-commerce platform; boosts write throughput and lowers completion time without harming query throughput. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6489
Venue
SIGMOD
Year
2022
Pagerank
5.5181056e-05
Overall Rank
7,917 | 45.69%
DOI
10.1145/3514221.3526051

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{zhang_sigmod22,
        title = {{ESDB: Processing Extremely Skewed Workloads in Real-time}},
        author = {Zhang, Jiachi and Cheng, Shi and Xue, Zhihui and Deng, Jianjun and Fu, Cuiyun and Zhou, Wenchao and Wang, Sheng and Chen, Changcheng and Li, Feifei},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3526051},
        url = {https://dl.acm.org/doi/10.1145/3514221.3526051},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,840 Migration-Free Elastic Storage of Time Series in Apache IoTDB 2025 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

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