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. 03, 2022

Filed:

Jan. 21, 2021
Applicant:

Nasdaq, Inc., New York, NY (US);

Inventors:

Jonathan Rivers, Brighton, MA (US);

Douglas Hamilton, Boston, MA (US);

Leonid Rosenfeld, Brookline, MA (US);

Assignee:

NASDAQ, INC., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/22 (2019.01); G06N 3/08 (2006.01); G06F 16/248 (2019.01); G06F 16/28 (2019.01);
U.S. Cl.
CPC ...
G06F 16/2272 (2019.01); G06F 16/248 (2019.01); G06F 16/285 (2019.01); G06N 3/08 (2013.01);
Abstract

The described technology relates to systems and techniques for accessing a database by dynamically choosing an index from a plurality of indexes that includes at least one learned index and at least one non-learned index. The availability of learned and non-learned indexes for accessing the same database provides for flexibility in accessing the database, and the dynamic selection between learned indexes and non-learned indexes provide for choosing the index based on the underlying data in the database and the characteristics of the query. Certain example embodiments provide a learned model that accepts a set of features associated with the query as input, and outputs a set of evaluated weights for respective features, which are then processed according to a set of rules to predict the most efficient index to be used.


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