公开(公告)号：US12222938B1

公开(公告)日：2025-02-11

申请号：US18394493

申请日：2023-12-22

Applicant: Capital One Services, LLC

Inventor： Mohamed Seck ,  Pavlo Savchuk ,  Nikitha Kondapally ,  Chris Gallucci ,  Prerna Kandhari ,  Anand Annamalai

IPC: G06F16/00 ,  G06F11/34 ,  G06F16/242 ,  G06F16/2453 ,  G06F16/2455

Abstract: 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.