[ 
https://issues.apache.org/jira/browse/HIVE-29681?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Zhihua Deng updated HIVE-29681:
-------------------------------
    Attachment: DESIGN.pdf

> Introduce dynamic table discovery to Metastore
> ----------------------------------------------
>
>                 Key: HIVE-29681
>                 URL: https://issues.apache.org/jira/browse/HIVE-29681
>             Project: Hive
>          Issue Type: Sub-task
>            Reporter: Zhihua Deng
>            Assignee: Zhihua Deng
>            Priority: Major
>
> Today, metadata search in MetaStore is effective when users know exact or 
> partial table names, database names, or schema fields. However, it performs 
> poorly for natural-language or concept-driven queries such as:
>  * “monthly customer churn tables”
>  * “finance datasets with invoice amount”
>  * “profile tables with email and phone”
>  * “recommendation feature tables”
> AI agents increasingly expect Metastore to understand intent, synonyms, and 
> business terminology, without changing MetaStore’s role as the source of 
> truth. This Jira is trying to solve this gap, will attach the design document 
> later.



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

Reply via email to