Balsa is a learned SQL query optimizer. It tailor optimizes your SQL queries to find the best execution plans for your hardware and engine.
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Updated
Jun 13, 2022 - Python
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.
An advanced distributed knowledge fabric for intelligent document processing, featuring multi-document agents, optimized query handling, and semantic understanding.
Code for "Text-Video Retrieval with Global-Local Semantic Consistent Learning"
Joiner is a research project for sql join order tuning using reinforcement learning algorithm.
Why did i do this?
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
This repository contains a Python application that uses the Langchain library to optimize database queries.
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
torch-like convolution over binary trees
Pytorch implementation of LEON: A New Framework for ML-Aided Query Optimization.
A lightweight RL environment for query optimization.
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