Invention Grant
- Patent Title: Adaptive data clustering for databases
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Application No.: US16655111Application Date: 2019-10-16
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Publication No.: US11341169B2Publication Date: 2022-05-24
- Inventor: Huaizhi Li , Hong Wu , Tieying Zhang , Ruiping Li , Fang Zheng , Xiaowei Zhu , Congnan Luo , Cheng Zhu
- Applicant: ALIBABA GROUP HOLDING LIMITED
- Applicant Address: KY Grand Cayman
- Assignee: ALIBABA GROUP HOLDING LIMITED
- Current Assignee: ALIBABA GROUP HOLDING LIMITED
- Current Assignee Address: KY Grand Cayman
- Agency: Finnegan, Henderson, Farabow, Garrett & Dunner, LLP
- Main IPC: G06F17/00
- IPC: G06F17/00 ; G06F16/28 ; G06F16/2455 ; G06F16/22 ; G06N20/10 ; G06K9/62 ; G06N3/08

Abstract:
The present disclosure provides a method for generating a classification model in a database system. The method comprises generating a plurality of database tables by performing data clustering on a database, acquiring a plurality of queries associated with information from the database, generating training data by executing each of the plurality of queries on the plurality of database tables, and training a classification model using the training data, wherein the classification model is used to select a database table for a query based on corresponding performance information associated with the query on the database during executing of the query. The present disclosure also provides a method for executing a query on a database using a classification model. The method comprises obtaining the classification model, obtaining a database query, generating a target table by inputting the database query into the classification model, and executing the database query on the target table. In addition, the present disclosure provides database systems and non-transitory computer-readable media for generating a classification model or executing a query on a database using a classification model.
Public/Granted literature
- US20210117447A1 ADAPTIVE DATA CLUSTERING FOR DATABASES Public/Granted day:2021-04-22
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