harshmotw-db opened a new pull request, #53120:
URL: https://github.com/apache/spark/pull/53120
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### What changes were proposed in this pull request?
[This PR](https://github.com/apache/spark/pull/53005) introduced a fix where
the Spark parquet writer would annotate variant columns with the parquet
variant logical type. The PR had an ad-hoc fix on the reader side for
validation. This PR formally allows Spark to read parquet files with the
Variant logical type.
The PR also introduces an unrelated fix in ParquetRowConverter to allow
Spark to read variant columns regardless of which order the value and metadata
fields are stored in.
### Why are the changes needed?
The variant logical type annotation has formally been adopted as part of the
parquet spec in is part of the parquet-java 1.16.0 library. Therefore, Spark
should be able to read files containing data annotated as such.
### Does this PR introduce _any_ user-facing change?
Yes, it allows users to read parquet files with the variant logical type
annotation.
### How was this patch tested?
Existing test from [this PR](https://github.com/apache/spark/pull/53005)
where we wrote data of the variant logical type and tested read using an ad-hoc
solution.
### Was this patch authored or co-authored using generative AI tooling?
No
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