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https://issues.apache.org/jira/browse/SPARK-61221?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-61221:
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Fix Version/s: connect-rust-4.3.0
> createDataFrame of local rows panics or raises a raw Arrow error for a
> non-nullable NullType
> --------------------------------------------------------------------------------------------
>
> Key: SPARK-61221
> URL: https://issues.apache.org/jira/browse/SPARK-61221
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: connect-rust-4.3.0
> Reporter: Hyukjin Kwon
> Priority: Major
> Fix For: connect-rust-4.3.0
>
>
> Repro: spark.createDataFrame([Row(a=[None])], StructType([StructField("a",
> ArrayType(NullType(), False))])), which panics. Official PySpark 4.3.0 raises
> ValueError "A null type field may not be non-nullable" for it and for every
> such schema with non-empty data, from its Arrow schema conversion, as
> PyArrow's pa.field rejects the field.
> The fix raises that ValueError for non-empty local rows once their values are
> converted, as PySpark does, and makes the Arrow list build of the Rust core
> return an error instead of panicking.
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