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https://issues.apache.org/jira/browse/SPARK-61156?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-61156:
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Fix Version/s: connect-rust-4.3.0
> createDataFrame of local rows with a year-month or calendar interval raises
> the wrong error
> -------------------------------------------------------------------------------------------
>
> Key: SPARK-61156
> URL: https://issues.apache.org/jira/browse/SPARK-61156
> 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
>
>
> createDataFrame of local rows whose schema has a YEAR-MONTH or CALENDAR
> interval type raises a plain TypeError ("unsupported value type for
> createDataFrame: int") for a value, and for an all-None column a
> PySparkRuntimeError that carries Rust Debug text ("Unsupported type for Arrow
> createDataFrame conversion: YearMonthInterval { start_field: 0, end_field: 1
> }"). Repro: spark.createDataFrame([(1,)], "a interval year to month").
> PySpark raises PySparkTypeError UNSUPPORTED_DATA_TYPE_FOR_ARROW_CONVERSION
> ("YearMonthIntervalType(0, 1) is not supported in conversion to Arrow.", and
> "CalendarIntervalType() ...") for values and None alike, top-level, nested
> and atomic.
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