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https://issues.apache.org/jira/browse/SPARK-61075?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-61075:
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Fix Version/s: connect-rust-4.3.0
> Convert values in toInternal and fromInternal of data types in the Python
> client as PySpark does
> ------------------------------------------------------------------------------------------------
>
> Key: SPARK-61075
> URL: https://issues.apache.org/jira/browse/SPARK-61075
> 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
>
>
> In PySpark Connect, the {{toInternal}} and {{fromInternal}} of a data type
> convert a Python value to the internal value of Spark and back, as for a
> {{DateType}} the days since the epoch, for a {{TimestampType}} or a
> {{TimestampNTZType}} the microseconds since the epoch, for a
> {{DayTimeIntervalType}} the microseconds of a timedelta, and for a
> {{StructType}}, an {{ArrayType}} and a {{MapType}} the values of their
> fields, elements, keys and values. A {{UserDefinedType}} converts the value
> that it serializes with its {{sqlType()}}.
> The Rust-backed Python client returns the value itself for every data type:
> {{TimestampType().toInternal(datetime(2020, 1, 1))}} returns the datetime
> rather than 1577836800000000, and {{DateType().fromInternal(18262)}} returns
> 18262 rather than the date 2020-01-01. Convert them as PySpark does.
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