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:
Oct. 05, 2021

Filed:

Feb. 21, 2019
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Bailu Ding, Bellevue, WA (US);

Sudipto Das, Redmond, WA (US);

Surajit Chaudhuri, Redmond, WA (US);

Vivek R Narasayya, Redmond, WA (US);

Ryan Marcus, Redmond, WA (US);

Lin Ma, Redmond, WA (US);

Adith Swaminathan, Redmond, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/02 (2006.01); G06F 16/00 (2019.01); G06F 16/903 (2019.01); G06F 16/906 (2019.01); G06F 16/901 (2019.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 16/90335 (2019.01); G06F 16/901 (2019.01); G06F 16/906 (2019.01); G06N 20/00 (2019.01);
Abstract

Systems and techniques for leveraging query executions to improve index recommendations are described herein. In an example, a machine learning model is adapted to receive a first query plan and a second query plan for performing a query with a database, where the first query plan is different from the second query plan. The machine learning model may be further adapted to determine execution cost efficiency between the first query plan and the second query plan. The machine learning model is trained using relative execution cost comparisons between a set of pairs of query plans for the database. The machine learning model is further adapted to output a ranking of the first query plan and second query plan, where the first query plan and second query plan are ranked based on execution cost efficiency.


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