Towards a Hands-Free Query Optimizer through Deep Learning

Ryan Marcus; Olga Papaemmanouil

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arXiv · 1809.10212

Towards a Hands-Free Query Optimizer through Deep Learning

Ryan Marcus·Olga Papaemmanouil

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Abstract

Query optimization remains one of the most important and well-studied problems in database systems. However, traditional query optimizers are complex heuristically-driven systems, requiring large amounts of time to tune for a particular database and requiring even more time to develop and maintain in the first place. In this vision paper, we argue that a new type of query optimizer, based on deep reinforcement learning, can drastically improve on the state-of-the-art. We identify potential complications for future research that integrates deep learning with query optimization, and we describe three novel deep learning based approaches that can lead the way to end-to-end learning-based query optimizers.

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Ryan Marcus, Olga Papaemmanouil. 2018-09-26. Towards a Hands-Free Query Optimizer through Deep Learning. https://arxiv.org/abs/1809.10212

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