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https://issues.apache.org/jira/browse/SPARK-61063?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-61063.
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Fix Version/s: connect-rust-4.3.0
Resolution: Fixed
Issue resolved by pull request 254
[https://github.com/apache/spark-connect-rust/pull/254]
> Take NumPy arrays, ints for dates and nested duplicate field names in
> createDataFrame of local rows in the Rust client as PySpark does
> --------------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-61063
> URL: https://issues.apache.org/jira/browse/SPARK-61063
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: 5.0.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Priority: Major
> Labels: pull-request-available
> Fix For: connect-rust-4.3.0
>
>
> createDataFrame of local rows differs from PySpark 4.3.0: a NumPy array in an
> array field raises AssertionError (PySpark takes it when the elements need no
> converter), an int for a DateType field raises ValueError (PySpark takes it
> as days since the epoch), and a nested struct with duplicate field names
> sends IPC that the server cannot read (PySpark deduplicates the Arrow names).
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