[jira] [Assigned] (SPARK-54688) Let ArrowBatchIterator return ArrowBatch instead of Array[Byte]

["Ruifeng Zheng (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-54688?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ruifeng Zheng reassigned SPARK-54688:
-------------------------------------

    Assignee: Yicong Huang

> Let ArrowBatchIterator return ArrowBatch instead of Array[Byte]
> ---------------------------------------------------------------
>
>                 Key: SPARK-54688
>                 URL: https://issues.apache.org/jira/browse/SPARK-54688
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark
>    Affects Versions: 4.2.0
>            Reporter: Yicong Huang
>            Assignee: Yicong Huang
>            Priority: Major
>              Labels: pull-request-available
>
> Currently {{ArrowBatchIterator}} returns {{Iterator[Array[Byte]]}}, which only provides the raw serialized batch bytes. This limits the ability to expose batch-level metadata (e.g., row count, byte sizes) to callers without re-parsing the batch.
> {code:scala}
> // Current implementation
> private[sql] class ArrowBatchIterator(...)
>     extends Iterator[Array[Byte]] with AutoCloseable {
>   
>   override def next(): Array[Byte] = {
>     // ...
>     bytes
>   }
> }
> {code}
> Propose to let it return ArrowBatch instead.
> {code:scala}
> private[sql] class ArrowBatchIterator(...)
>     extends Iterator[ArrowBatch] with AutoCloseable {
>   
>   override def next(): ArrowBatch = {
>     // ...
>     ArrowBatch(rowCount, bytes.length, bytes)
>   }
> }
> {code}
> This enables downstream consumers to access batch metadata without deserializing. 



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