A Comparison of Join Algorithms for Log Processing in MapReduce
Summary: Evaluates common join strategies for log processing in MapReduce, highlighting platform-specific trade-offs and implementation details. Provides an empirical comparison on a 100-node Hadoop cluster to guide when to apply particular join algorithms in MapReduce workflows. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Spyros Blanas
- 2. Jignesh M. Patel
- 3. Vuk Ercegovac
- 4. Jun Rao
- 5. Eugene J. Shekita
- 6. Yuanyuan Tian
Incoming Citations (Sorted by Pagerank)
Showing 33 of 33 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 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 |
| 15 | Map-Reduce-Merge: Simplified Relational Data Processing on Large Clusters | 2007 | SIGMOD | 0.0010654262 |
| 22 | SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets | 2008 | VLDB | 0.0008456613 |
| 42 | A Comparison of Approaches to Large-Scale Data Analysis | 2009 | SIGMOD | 0.00073498298 |
| 232 | A Performance Evaluation of Four Parallel Join Algorithms in a Shared-Nothing Multiprocessor Environment | 1989 | SIGMOD | 0.00032122485 |
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