[jira] [Commented] (SPARK-48308) Unify getting data schema without partition columns in FileSourceStrategy

["Dongjoon Hyun (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-48308?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17868716#comment-17868716 ] 

Dongjoon Hyun commented on SPARK-48308:
---------------------------------------

Since this causes RC2 failure, I updated the Jira information, `Priority`, from `Trivial` to `Blocker`. It's great to resolve it during RC period. Thank you!

> Unify getting data schema without partition columns in FileSourceStrategy
> -------------------------------------------------------------------------
>
>                 Key: SPARK-48308
>                 URL: https://issues.apache.org/jira/browse/SPARK-48308
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 3.5.1
>            Reporter: Johan Lasperas
>            Assignee: Johan Lasperas
>            Priority: Blocker
>              Labels: pull-request-available
>             Fix For: 4.0.0, 3.5.2
>
>
> In [FileSourceStrategy,|https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileSourceStrategy.scala#L191] the schema of the data excluding partition columns is computed 2 times in a slightly different way:
>  
> {code:java}
> val dataColumnsWithoutPartitionCols = dataColumns.filterNot(partitionSet.contains) {code}
> vs 
> {code:java}
> val readDataColumns = dataColumns
>   .filterNot(partitionColumns.contains) {code}



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