Capital One Services, LLC

Prerna Kandhari

Mohamed Seck

Nikitha Kondapally

Anand Annamalai

Pavlo Savchuk

Chris Gallucci

A method for query optimization may include capturing a proposed database query input into a user interface. The method may further include providing the proposed database query to a machine-learning model. The machine-learning model may have been trained, using one or more gathered and/or simulated sets of query execution overhead data and one or more gathered and/or simulated sets of database queries, to determine a potential execution overhead of a database query and output a query execution score. The method may further include outputting, by the machine-learning model, the query execution score based on the proposed database query. The method may further include determining that the query execution score exceeds a query execution score threshold. The method may further include triggering a corrective action based on the query execution score exceeding the query execution score threshold.

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McKinney, TX, United States of America

Prerna Kandhari