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. 15, 2024

Filed:

Dec. 08, 2022
Applicant:

Splunk Inc., San Francisco, CA (US);

Inventors:

Chinmay Madhav Kulkarni, Sunnyvale, CA (US);

Lin Ma, Burnaby, CA;

Amir Malekpour, Vancouver, CA;

Mohan Rajagopalan, Mountain View, CA (US);

John C. Reed, Saratoga, CA (US);

Ram Sriharsha, Oakland, CA (US);

Assignee:

Splunk Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 8/30 (2018.01); G06F 8/41 (2018.01); G06F 16/21 (2019.01); G06F 16/953 (2019.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 8/31 (2013.01); G06F 8/427 (2013.01); G06F 16/211 (2019.01); G06F 16/953 (2019.01); G06N 20/00 (2019.01);
Abstract

Disclosed herein is a method that supports queries deploying operators based on multiple programming languages at least through determining schema compatibility between neighboring operators within a query. Upon receipt of a query, a sequence of operators of the query is identified, where the sequence of operators includes at least two neighboring operators including a first operator and a second operator representing a machine learning model. By determining schema compatibility between at least the first and second operators, the method either alerts a user to schema incompatibility before attempting to execute the query or determine that the schemas are compatible such that the query may be executed without the occurrence of errors due to schema incompatibility between neighboring operators. Advantageously, the method enables the integration of a machine learning model into the query while still ensuring schema compatibility.


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