c21 opened a new pull request #33489:
URL: https://github.com/apache/spark/pull/33489
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### What changes were proposed in this pull request?
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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 Hive
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 for now. But for customized internal Hive file
format, it causes the issue as we are expecting these two configs to be same.
### Why are the changes needed?
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Fix the code logic to be more consistent.
### Does this PR introduce _any_ user-facing change?
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No.
### How was this patch tested?
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Existing Hive tests.
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