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Online Aggregation and Continuous Query support in MapReduce

Summary: MapReduce extended with operator-pipelining and online aggregation for early results, reducing batch latency. HOP enables continuous queries for event monitoring and stream processing, preserves Hadoop fault tolerance, and runs unmodified MapReduce programs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4389
Venue
SIGMOD
Year
2010
Pagerank
8.7642158e-05
Overall Rank
2,312 | 84.14%
DOI
10.1145/1807167.1807295

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{condie_sigmod10,
        title = {{Online Aggregation and Continuous Query support in MapReduce}},
        author = {Condie, Tyson and Conway, Neil and Alvaro, Peter and Hellerstein, Joseph M. and Gerth, John and Talbot, Justin and Elmeleegy, Khaled and Sears, Russell},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807295},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807295},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
6 Pig Latin: A Not-So-Foreign Language for Data Processing 2008 SIGMOD 0.0010686205
9 Online Aggregation 1997 SIGMOD 0.00077458002
32 Hive - A Warehousing Solution Over a Map-Reduce Framework 2009 VLDB 0.00050111008
53 Eddies: Continuously Adaptive Query Processing 2000 SIGMOD 0.00041071971
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