Database Paper Browser

Back to papers

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
4327
Venue
SIGMOD
Year
2010
Pagerank
8.2043187e-05
Overall Rank
2,736 | 80.97%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 15 of 15 citing papers.

Previous Page 1 / 1 Next

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
3 Pig Latin: A Not-So-Foreign Language for Data Processing 2008 SIGMOD 0.0024183614
14 Online Aggregation 1997 SIGMOD 0.0010801504
70 Hive - A Warehousing Solution Over a Map-Reduce Framework 2009 VLDB 0.00059533166
115 Eddies: Continuously Adaptive Query Processing 2000 SIGMOD 0.00046221215
Previous Page 1 / 1 Next

Semantically Similar Papers