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https://issues.apache.org/jira/browse/SPARK-61079?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-61079.
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Fix Version/s: connect-rust-4.3.0
Resolution: Fixed
Issue resolved by pull request 270
[https://github.com/apache/spark-connect-rust/pull/270]
> Convert pandas input with an explicit schema as PySpark's Arrow conversion
> does in createDataFrame of the Rust client
> ---------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-61079
> URL: https://issues.apache.org/jira/browse/SPARK-61079
> 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 a pandas DataFrame with an explicit schema in the Rust
> client converts each cell itself and differs from PySpark 4.3.0's Arrow
> conversion: NaN or None in a numeric column into an int field fails, an int64
> 257 into a tinyint field wraps to 1 silently, a null in a non-nullable field
> raises another error, naive timestamps are read in the client's time zone
> instead of spark.sql.session.timeZone, nanoseconds are truncated silently,
> lone surrogates and datetimes in date fields fail differently, nested NaN is
> kept instead of becoming null, and an int beyond int64 in an inferred object
> column becomes a double instead of raising OverflowError.
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