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arXiv · 2102.13370

Fast Distributed Complex Join Processing

Hao Zhang·Miao Qiao·Jeffrey Xu Yu·Hong Cheng
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Abstract

In this work, we study the problem of co-optimize communication, pre-computing, and computation cost in one-round multi-way join evaluation. We propose a multi-way join approach ADJ (Adaptive Distributed Join) for complex join which finds one optimal query plan to process by exploring cost-effective partial results in terms of the trade-off between pre-computing, communication, and computation.We analyze the input relations for a given join query and find one optimal over a set of query plans in some specific form, with high-quality cost estimation by sampling. Our extensive experiments confirm that ADJ outperforms the existing multi-way join methods by up to orders of magnitude.

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Hao Zhang, Miao Qiao, Jeffrey Xu Yu, Hong Cheng. 2021-02-26. Fast Distributed Complex Join Processing. https://arxiv.org/abs/2102.13370

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