2 citations · 2 across the 1 of their papers we have counts for
5 papers
Neo: A Learned Query Optimizer
Ryan Marcus, Parimarjan Negi, Hongzi Mao +5
Query optimization is one of the most challenging problems in database systems. Despite the progress made over the past decades, query optimizers remain extremely complex component…
Plan-Structured Deep Neural Network Models for Query Performance Prediction
Ryan Marcus, Olga Papaemmanouil
Query performance prediction, the task of predicting the latency of a query, is one of the most challenging problem in database management systems. Existing approaches rely on feat…
Flexible Operator Embeddings via Deep Learning
Ryan Marcus, Olga Papaemmanouil
Integrating machine learning into the internals of database management systems requires significant feature engineering, a human effort-intensive process to determine the best way…
Towards a Hands-Free Query Optimizer through Deep Learning
Ryan Marcus, Olga Papaemmanouil
Query optimization remains one of the most important and well-studied problems in database systems. However, traditional query optimizers are complex heuristically-driven systems,…
Deep Reinforcement Learning for Join Order Enumeration
Ryan Marcus, Olga Papaemmanouil
Join order selection plays a significant role in query performance. However, modern query optimizers typically employ static join enumeration algorithms that do not receive any fee…