Patents by Inventor Matthew Edward Antoun

Matthew Edward Antoun has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Reducing query optimizer plan regressions with machine learning classification
    Patent number: 12001432
    Abstract: A database system receives a query. The database system retrieves an old query execution plan (QEP), OldPlan, for the query. The database system submits the query to an optimizer. The optimizer returns a new QEP, NewPlan, for the query. The database system submits the OldPlan and the NewPlan to a machine learning classifier (ML classifier). The ML classifier predicts that executing the NewPlan will result in a performance regression as compared to executing the OldPlan. The database system executes the OldPlan instead of the NewPlan.
    Type: Grant
    Filed: September 6, 2022
    Date of Patent: June 4, 2024
    Assignee: Teradata US, Inc.
    Inventors: Louis Martin Burger, Chrisopher James Antoun, Matthew Edward Antoun, Frank Roderic Vandervort, Douglas P. Brown
  • QUERY GRAPH EMBEDDING
    Publication number: 20240152515
    Abstract: In some examples, a system receives an input graph representation of one or more query plans for one or more database queries, and generates, by an embedding machine learning model based on the input graph representation, a feature vector that provides a distributed representation of the one or more query plans. The system determines, using the feature vector, one or more user behaviors and/or workload characteristics of one or more workloads in one or more database systems.
    Type: Application
    Filed: November 4, 2022
    Publication date: May 9, 2024
    Inventors: Christopher James Antoun, Matthew Edward Antoun, Artur Borycki, Douglas Paul Brown