Balsa is a learned SQL query optimizer. It tailor optimizes your SQL queries to find the best execution plans for your hardware and engine.

Neural Relation Understanding: neural cardinality estimators for tabular data

State-of-the-art neural cardinality estimators for join queries

A pytorch implementation for FACE: A Normalizing Flow based Cardinality Estimator

Saturn accelerates the training of large-scale deep learning models with a novel joint optimization approach.

Joiner is a research project for sql join order tuning using reinforcement learning algorithm.

An advanced distributed knowledge fabric for intelligent document processing, featuring multi-document agents, optimized query handling, and semantic understanding.

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Scalable Join Cardinality Estimaitor

Simpli-Squared is a statistics-free join ordering algorithm Without Cardinality Estimates.

Practical Web DataBase Design Book

Asynchronous execution of parallely executing SQL query

Case Study for a data engineering job application at a company

Olympics Dashboard is a database management project which aims at providing a platform about how the Olympics has evolved over time, participation, and performance rate based on gender, different countries, different sport and sports events. A lot of data is generated and collected each year at the Olympics which calls for a method to bring out …

Sub-optimal Join Order Indicator

Spanning Tree-based Query Plan Enumeration

Pytorch implementation of LEON: A New Framework for ML-Aided Query Optimization.

A lightweight RL environment for query optimization.

Code on paper: Eraser: Eliminating Performance Regression on Learned Query Optimizer