Jun 11, 2022 · We introduce DeepO, a novel deep-learning-based query optimizer that offers high-quality and fine-grained query optimization efficiently and practically.
One of the other finding for query optimizer processing in the database is DeepO. In this method, interactive optimization has been done in the PostgreSQL ...
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Dec 11, 2023 · We introduce FOSS, a novel framework for query optimization based on deep reinforcement learning.
Neo bootstraps its query optimization model from existing optimizers and continues to learn from incoming queries, building upon its successes and learning from ...
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.
Jun 9, 2024 · It is a middleware proposed recently to reduce the difficulties of developing and deploying learned algorithms in databases. It would help ...
Bao [15] is a learned query optimizer that relies on the DBMS optimizer to generate plans. ... Learning to optimize join queries with deep reinforcement learning.
Jun 1, 2023 · In this paper, we propose BitE, a novel ensemble learning model using database statistics and metadata to tune a learned query optimizer for enhancing ...
Jul 13, 2022 · In this paper, we analyse and improve the state-of-the-art learned query optimizer, Neo for the JOB benchmark on two database systems: PostgreSQL and Huawei ...