[jira] [Resolved] (SPARK-57556) Support the TIME data type in Hive SerDe interop (HiveInspectors)

["Max Gekk (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-57556?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Max Gekk resolved SPARK-57556.
------------------------------
    Fix Version/s: 4.3.0
       Resolution: Fixed

Issue resolved by pull request 56850
[https://github.com/apache/spark/pull/56850]

> Support the TIME data type in Hive SerDe interop (HiveInspectors)
> -----------------------------------------------------------------
>
>                 Key: SPARK-57556
>                 URL: https://issues.apache.org/jira/browse/SPARK-57556
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 4.3.0
>            Reporter: Max Gekk
>            Assignee: Max Gekk
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 4.3.0
>
>
> h2. What
> Handle {{TimeType}} in Hive interop so Hive-serde tables and Hive UDFs do not fail on TIME,
> or, if full support is not feasible, produce a clear, documented error.
> h2. Why
> {{HiveInspectors}} has no {{TimeType}} case, so object-inspector creation and TypeInfo
> mapping fall through. Hive-serde tables and Hive ORC already reject TIME (SPARK-51590), but
> the behavior is implicit. Hive itself has no TIME type, so a faithful mapping is limited.
> h2. Scope
> Option A (preferred if viable): map {{TimeType}} through a Hive-representable carrier
> (e.g. string or {{TIMESTAMP}}) in {{HiveInspectors}} (toInspector / unwrap / wrap / TypeInfo
> paths) with documented semantics.
> Option B (fallback): detect {{TimeType}} early and raise
> {{UNSUPPORTED_DATA_TYPE_FOR_DATASOURCE}} (or a dedicated Hive error) with a clear message,
> and document the limitation on the TIME docs page.
> h2. Acceptance criteria
> * No {{MatchError}}/internal error when a TIME column reaches Hive serde paths.
> * Behavior (support or explicit error) is covered by tests in the hive module and documented.



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