Aug 9, 2018 · We propose a new method for learning optimized join search strategies. We present our RL-based DQ optimizer, which currently optimizes select-project-join ...

Jan 10, 2019 · Our extensive evaluation shows that DQ achieves plans with optimization costs and query execution times competitive with the native query ...

Aug 9, 2018 · We believe that (deep) reinforcement learning provides a new algorithmic perspective for thinking about join enumer- ation, and particularly a ...

This work proposes a RL-based DQ optimizer, which currently optimizes select-project-join blocks and implements three versions of DQ to illustrate the ease ...

Deep RL poses sequential problems, like join optimization, as a series of 1-step prediction problems that can be learned from data. We present our deep RL-based ...

Sep 18, 2018 · We show that deep reinforcement learning is successful at optimizing SQL joins, a problem studied for decades in the database community.

This repository contains the DRL-based FOOP-environment: "Join Query Optimization with Deep Reinforcement Learning Algorithms" by Jonas Heitz and Kurt ...

Join query optimization is a complex task and is central to the performance of query processing. In fact it belongs to the class of NP-hard problems.

Aug 22, 2018 · We present our deep RL-based DQ optimizer, which currently optimizes select-project-join blocks, and we evaluate DQ on the Join Order Benchmark.

Nov 4, 2024 · A novel method for Query Optimization using Particle Swarm Optimization (QOPSO) and Deep Q Learning (DQL) for parameter tuning of Join Operation ...