> Most of the previous work in using ML for DBMS automation has focused on designing better ML models of DBMS behavior, but recent advances in ML have largely automated model design. The challenge now is to obtain good training data for building these models. This paper outlined the architecture of the database gym, an integrated environment that generates training data by using the DBMS to simulate itself at the highest possible fidelity.
ps. Brent you helped kickstart my career when I was exposed to your early contributions on StackOverflow and MetaStackOverflow. By far the largest accelerant I ever had on the DBMS front, really cool seeing you around so I wanted to send a friendly thank you.
No, this project is separate from OtterTune. I keep our CMU research strictly firewalled from OtterTune for legal reasons.
The Database Gym project rose up from the ashes of the NoisePage self-driving DBMS project. See my comment from last week about why it failed:
Through your course, I reached a stage where I can help OSS projects and its features.
Awww, thanks! That's awesome to hear! My big goal is to make other peoples' journeys through data easier.