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https://issues.apache.org/jira/browse/SPARK-59699?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-59699.
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Fix Version/s: 4.4.0
Resolution: Fixed
Issue resolved by pull request 58951
[https://github.com/apache/spark/pull/58951]
> Spark Connect DataFrameReader options should be case-insensitive with
> last-call-wins semantics
> ----------------------------------------------------------------------------------------------
>
> Key: SPARK-59699
> URL: https://issues.apache.org/jira/browse/SPARK-59699
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: 4.3.0
> Reporter: Haoyan Geng
> Assignee: Haoyan Geng
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.4.0
>
>
> Spark Connect's Python DataFrameReader stores reader options in a regular
> case-sensitive dictionary. As a result, option names that differ only by case
> are serialized as separate entries in the protobuf map.
> The DataFrameReader contract states that option keys are case-insensitive and
> that a later option with the same key should override the earlier value.
> {code:python}
> reader = (
> spark.read
> .option("versionAsOf", 0)
> .option("versionasof", 1)
> .option("versionAsOf", 2)
> )
> {code}
> The expected serialized options contain one logical entry:
> {code:python}
> {"versionAsOf": "2"}
> {code}
> Currently, multiple case variants can reach the protobuf map. The server
> later constructs a case-insensitive map from that unordered map, so the
> selected value can depend on map iteration order rather than user call order.
> For options such as versionAsOf, this can select an unintended table snapshot.
> Classic DataFrameReader already provides deterministic, case-insensitive,
> last-call-wins behavior.
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