The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 16, 2023

Filed:

Dec. 22, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventor:

Tatsuhiro Chiba, Tokyo, JP;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/2453 (2019.01); G06F 16/2452 (2019.01); G06F 16/45 (2019.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 16/24545 (2019.01); G06F 16/24522 (2019.01); G06F 16/24547 (2019.01); G06N 20/00 (2019.01); G06F 16/2453 (2019.01); G06F 16/45 (2019.01);
Abstract

A method is provided for generating a classification model configured to select an optimal execution combination for query processing. The method provides, to a processor, training queries and different execution combinations for executing the training queries. Each different execution combination involves a respective different query engine and a respective different runtime. The method extracts, from a set of Directed Acyclic Graphs (DAGs) using a set of Cost-Based Optimizers (CBOs), a set of feature vectors for each of the plurality of training queries. The method adds, by the processor to each of merged feature vectors a respective label indicative of the optimal execution combination based on actual respective execution times of the plurality of different execution combinations, to obtain a set of labels. The method trains, by the processor, the classification model by learning the set of merged feature vectors with the set of labels.


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