Automatic Optimization for MapReduce Programs
Summary: Manimal statically analyzes free-form MapReduce code to infer relational data semantics (e.g., selections/projections) without programmer annotations. It automatically applies database-style optimizations, achieving up to 1,121% speedups on existing jobs. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Eaman Jahani (University of Michigan)
- 2. Michael J. Cafarella (University of Michigan)
- 3. Christopher Ré (University of Wisconsin)
BibTeX Citation
@article{jahani_vldb11,
title = {{Automatic Optimization for MapReduce Programs}},
author = {Jahani, Eaman and Cafarella, Michael J. and Ré, Christopher},
journal = {PVLDB},
series = {{VLDB} '11},
volume = {4},
number = {6},
pages = {385--396},
doi = {10.14778/2020.2021},
url = {https://doi.org/10.14778/2020.2021},
year = {2011}
}
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| 1 | 4,654 | Automatically Leveraging MapReduce Frameworks for Data-Intensive Applications | 2018 | SIGMOD |
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| 4 | 12,465 | Anti-Combining for MapReduce | 2014 | SIGMOD |
| 5 | 2,282 | A Platform for Scalable One-Pass Analytics using MapReduce | 2011 | SIGMOD |
| 6 | 1,466 | The Performance of MapReduce: An In-depth Study | 2010 | VLDB |
| 7 | 75 | Map-Reduce-Merge: Simplified Relational Data Processing on Large Clusters | 2007 | SIGMOD |
| 8 | 2,573 | Minimal MapReduce Algorithms | 2013 | SIGMOD |
| 9 | 3,216 | Multi-Query Optimization in MapReduce Framework | 2014 | VLDB |
| 10 | 753 | Profiling, What-if Analysis, and Cost-based Optimization of MapReduce Programs | 2011 | VLDB |