Let's Rethink Join Optimization in Distributed Systems
Summary: Existing distributed analytics engines still rely on pairwise join plans tuned for PK–FK workloads, yielding suboptimal performance on complex sparse/OLAP join patterns. Paper calls to integrate recent multiway and worst‑case optimal join algorithms into shared‑nothing systems and outlines their tradeoffs. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Semih Salihoglu (Stanford University)
BibTeX Citation
@inproceedings{salihoglu_cidr15,
address = {Amsterdam, Netherlands},
series = {{CIDR} '15},
title = {{Let's Rethink Join Optimization in Distributed Systems}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Salihoglu, Semih},
year = {2015}
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6 | Pig Latin: A Not-So-Foreign Language for Data Processing | 2008 | SIGMOD | 0.001052036 |
| 31 | Hive - A Warehousing Solution Over a Map-Reduce Framework | 2009 | VLDB | 0.00049839909 |
| 2,796 | Demonstration of the Myria Big Data Management Service | 2014 | SIGMOD | 7.9971623e-05 |
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