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https://issues.apache.org/jira/browse/SPARK-39806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-39806:
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Assignee: Apache Spark
> Queries accessing METADATA struct crash on partitioned tables
> -------------------------------------------------------------
>
> Key: SPARK-39806
> URL: https://issues.apache.org/jira/browse/SPARK-39806
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.3.0
> Reporter: Ala Luszczak
> Assignee: Apache Spark
> Priority: Major
>
> There is a problem with a projection we use in `FileScanRDD` to join the
> metadata row to the row produced by the reader.
> https://github.com/apache/spark/blob/e4ca8424474e571d8e137388fe5d54732b68c2f3/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileScanRDD.scala#L128-L133
> The issue is that the projection omits partition columns. As a result, the
> expressions down the line return a malformed row. The errors crash the query,
> but the exact message can vary (for example: failed assertion on number of
> fields in the row, accessing field of incorrect type).
> This defect affects only readers producing rows (as opposed to batches), and
> only data sets using dynamic partitioning.
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