[jira] [Resolved] (SPARK-57570) Support TimeType in vectorized-reader column population

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

     [ https://issues.apache.org/jira/browse/SPARK-57570?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Max Gekk resolved SPARK-57570.
------------------------------
    Fix Version/s: 4.3.0
       Resolution: Fixed

Issue resolved by pull request 56858
[https://github.com/apache/spark/pull/56858]

> Support TimeType in vectorized-reader column population
> -------------------------------------------------------
>
>                 Key: SPARK-57570
>                 URL: https://issues.apache.org/jira/browse/SPARK-57570
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 4.1.0
>            Reporter: Max Gekk
>            Assignee: Max Gekk
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 4.3.0
>
>
> h2. What
> Support {{TimeType}} in vectorized-reader column population (partition, missing, and constant
> columns filled into a columnar batch).
> h2. Where
> {{ColumnVectorUtils.populate}} / {{toBatch}}
> (sql/core/.../execution/vectorized/ColumnVectorUtils.java, around line 135) populates
> partition/missing columns in the vectorized read path.
> h2. Relationship to SPARK-54203
> This area is gated at the row-to-columnar converter level by SPARK-54203
> ({{RowToColumnConverter.getConverterForType}} in
> sql/core/src/main/scala/org/apache/spark/sql/execution/Columnar.scala), which currently has
> no {{TimeType}} case. Once SPARK-54203 lands, the work below becomes possible. It may also
> require TIME support in this component's own layer (Arrow type mapping, Parquet/ORC logical
> types, or Variant encoding).
> h2. Acceptance criteria
> * Vectorized reads with TIME partition/missing/constant columns populate correctly.
> * Tests added in ColumnarBatchSuite / the vectorized reader suites.



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