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https://issues.apache.org/jira/browse/SPARK-58917?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18106432#comment-18106432
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Greg Hansen commented on SPARK-58917:
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https://github.com/apache/spark/pull/58175
> Respect inferSchema for variant ingestion in CSV parser
> -------------------------------------------------------
>
> Key: SPARK-58917
> URL: https://issues.apache.org/jira/browse/SPARK-58917
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 4.4.0
> Reporter: Greg Hansen
> Priority: Major
>
> The CSV to Variant parser (used by the `singleVariantColumn` option and
> explicit `VariantType` columns) always infers scalar types (long, decimal,
> date, timestamp, boolean) regardless of the `inferSchema` option, so a value
> like "0001" is stored as the integer 1 rather than the string "0001".
> A new CSV read option `variantRespectInferSchema` makes the parser honor
> `inferSchema`: when it is set to true and `inferSchema` is false, scalar CSV
> values are preserved as strings inside the Variant instead of being inferred.
> The option defaults to false, preserving the existing always-infer behavior
> so existing results are unchanged; users opt in per read. A reader option
> allows users to set this on-read via `.option(...)`.
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