公开(公告)号：US12248444B1

公开(公告)日：2025-03-11

申请号：US18539928

申请日：2023-12-14

Applicant: Oracle International Corporation

Inventor： Fotis Savva ,  Farhan Tauheed ,  Marc Jolles ,  Onur Kocberber ,  Seema Sundara ,  Nipun Agarwal

IPC: G06F16/20 ,  G06F16/21 ,  G06F16/2455 ,  G06F16/28

Abstract: Auto-parallel-load techniques are provided for automatically loading database objects from an on-disk database system into an in-memory database system. The auto-parallel-load techniques involve a pipeline that includes several components. In one implementation, each of the pipeline components is configured to receive, extract information from, and add information to, a “state object”. One or more of the pipeline components include logic that is based on the output of a corresponding machine learning model. The machine learning models used by the pipeline components may be trained from training sets from which outliers have been excluded, and may be used as the basis for generating linear models that are used during runtime, to produce estimates that affect the parameters of the auto-parallel-load operation.