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A Platform for Scalable One-Pass Analytics using MapReduce

Summary: Proposes a one-pass analytics platform that replaces MapReduce's sort-merge bottlenecks with in-memory hashing. Introduces a frequency-key technique for large key-state spaces, achieving up to 1000× fewer spills and continuous results in a Hadoop prototype. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4510
Venue
SIGMOD
Year
2011
Pagerank
8.8398946e-05
Overall Rank
2,265 | 84.47%
DOI
10.1145/1989323.1989426

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{li_sigmod11,
        title = {{A Platform for Scalable One-Pass Analytics using MapReduce}},
        author = {Li, Boduo and Mazur, Edward and Diao, Yanlei and McGregor, Andrew and Shenoy, Prashant},
        series = {{SIGMOD} '11},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1989323.1989426},
        url = {https://dl.acm.org/doi/10.1145/1989323.1989426},
        year = {2011}
}

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