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DoppelGanger++: Towards Fast Dependency Graph Generation for Database Replay

Summary: Proposes four dependency-graph classes for database replay and a stateful single forward scan (SSFS) that builds any class in one pass. Parallel SSFS exploits multi-core CPUs; implemented in a leading DBMS, achieving up to 100x speedup over generate-and-prune on standard workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6938
Venue
SIGMOD
Year
2024
Pagerank
5.3251649e-05
Overall Rank
9,056 | 37.87%
DOI
10.1145/3639322

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{lee_sigmod24,
        title = {{DoppelGanger++: Towards Fast Dependency Graph Generation for Database Replay}},
        author = {Lee, Wonseok and Ha, Jaehyun and Han, Wook-Shin and Park, Changgyoo and Park, Myunggon and Han, Juhyeng and Lee, Juchang},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3639322},
        url = {https://dl.acm.org/doi/10.1145/3639322},
        year = {2024}
}

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