Sunday 30 September 2018

Towards a Hands-Free Query Optimizer through Deep Learning. (arXiv:1809.10212v1 [cs.DB])

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 describe three novel deep learning based approaches that can lead the way to end-to-end learning-based query optimizers.



from cs updates on arXiv.org https://ift.tt/2NNUySA
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