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https://issues.apache.org/jira/browse/SPARK-36269?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17385930#comment-17385930
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Apache Spark commented on SPARK-36269:
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User 'c21' has created a pull request for this issue:
https://github.com/apache/spark/pull/33489
> Fix only set data columns to Hive column names config
> -----------------------------------------------------
>
> Key: SPARK-36269
> URL: https://issues.apache.org/jira/browse/SPARK-36269
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.3.0
> Reporter: Cheng Su
> Priority: Minor
>
> When reading Hive table, we set the Hive column id and column name configs
> (`hive.io.file.readcolumn.ids` and `hive.io.file.readcolumn.names`). We
> should set non-partition columns (data columns) for both configs, as Spark
> always appends partition columns in its own reader -
> [https://github.com/apache/spark/blob/master/sql/hive/src/main/scala/org/apache/spark/sql/hive/TableReader.scala#L240]
> . The column id config has only non-partition columns, but column name
> config has both partition and non-partition columns. We should keep them to
> be consistent with only non-partition columns. This does not cause issue for
> public OSS Hive file format, but for customized internal Hive file format, it
> causes the issue as we are expecting these two configs to be same.
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