Invention Grant
- Patent Title: Machine learning inference calls for database query processing
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Application No.: US16578060Application Date: 2019-09-20
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Publication No.: US11449796B2Publication Date: 2022-09-20
- Inventor: Sangil Song , Yongsik Yoon , Kamal Kant Gupta , Saileshwar Krishnamurthy , Stefano Stefani , Sudipta Sengupta , Jaeyun Noh
- Applicant: Amazon Technologies, Inc.
- Applicant Address: US WA Seattle
- Assignee: Amazon Technologies, Inc.
- Current Assignee: Amazon Technologies, Inc.
- Current Assignee Address: US WA Seattle
- Agency: Nicholson De Vos Webster & Elliott LLP
- Main IPC: G06F7/00
- IPC: G06F7/00 ; G06N20/00 ; G06F16/242 ; G06F16/2453 ; G06N5/04

Abstract:
Techniques for making machine learning inference calls for database query processing are described. In some embodiments, a method of making machine learning inference calls for database query processing may include generating a first batch of machine learning requests based at least on a query to be performed on data stored in a database service, wherein the query identifies a machine learning service, sending the first batch of machine learning requests to an input buffer of an asynchronous request handler, the asynchronous request handler to generate a second batch of machine learning requests based on the first batch of machine learning requests, and obtaining a plurality of machine learning responses from an output buffer of the asynchronous request handler, the machine learning responses generated by the machine learning service using a machine learning model in response to receiving the second batch of machine learning requests.
Public/Granted literature
- US20210174238A1 MACHINE LEARNING INFERENCE CALLS FOR DATABASE QUERY PROCESSING Public/Granted day:2021-06-10
Information query