MLIQ

MLIQ refers to a proprietary algorithm developed by Databricks for the efficient and scalable execution of SQL queries on their Lakehouse platform. It is designed to optimize data processing by intelligently determining the most effective way to execute a given SQL query, considering factors such as data distribution, available resources, and query complexity. MLIQ aims to reduce query latency and improve overall system throughput.

The algorithm analyzes the structure and characteristics of the data stored within the Lakehouse and the specific operations requested in the SQL query. Based on this analysis, MLIQ can choose from a variety of execution strategies. These strategies might include techniques like predicate pushdown, column pruning, efficient join algorithms, and parallel processing. The goal is to minimize the amount of data that needs to be read and processed, thereby accelerating query completion times.

MLIQ is a key component of Databricks' performance optimizations. It works in conjunction with other features of the Lakehouse platform, such as Delta Lake's transactional capabilities and their underlying distributed processing engine. While the specific details of the MLIQ algorithm are proprietary, its general purpose is to provide a high-performance, adaptive query execution environment for data analysts and data scientists working with large datasets. It continuously learns and adapts to improve performance over time.