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
Feb 3, 2023 - 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.
Cardinality Estimation Benchmark
A new CardEst Benchmark to Bridge Algorithm and System
Machine Learning based B+ Tree
An implementation of the SIGMOD23 paper: Detect, Distill and Update: Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data
CardinalityEstimationTestbed
my modified markov chain algorithm to generate pseudorandom sentences from a learned database
An implementation of the SIGMOD24 paper: Machine Unlearning in Learned DBs: An Experimental Analysis
Code for variable skipping ICML 2020 paper
A pytorch implementation for FACE: A Normalizing Flow based Cardinality Estimator
State-of-the-art neural cardinality estimators for join queries
Implementation of DeepDB: Learn from Data, not from Queries!
Neural Relation Understanding: neural cardinality estimators for tabular data
Balsa is a learned SQL query optimizer. It tailor optimizes your SQL queries to find the best execution plans for your hardware and engine.
Implementation of BTree part for paper 'The Case for Learned Index Structures'
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