MACHINE LEARNING INFERENCE CALLS FOR DATABASE QUERY PROCESSING

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...

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Bibliographische Detailangaben
Hauptverfasser: GUPTA, Kamal Kant, SENGUPTA, Sudipta, SONG, Sangil, YOON, Yongsik, STEFANI, Stefano, KRISHNAMURTHY, Saileshwar, NOH, Jaeyun
Format: Patent
Sprache:eng
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Zusammenfassung: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.