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https://issues.apache.org/jira/browse/SPARK-61000?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon reassigned SPARK-61000:
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Assignee: Hyukjin Kwon
> Convert the columns of toPandas of the Python client as PySpark does
> --------------------------------------------------------------------
>
> Key: SPARK-61000
> URL: https://issues.apache.org/jira/browse/SPARK-61000
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: connect-rust-4.3.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Priority: Major
> Labels: pull-request-available
> Fix For: connect-rust-4.3.0
>
>
> In PySpark Connect, {{DataFrame.toPandas()}} converts each column of the
> Arrow result for pandas by its Spark type ({{_create_converter_to_pandas}},
> with the session time zone, {{spark.sql.execution.pandas.structHandlingMode}}
> and the other settings of {{SparkConnectClient.to_pandas}}). The Rust-backed
> Python client returns {{pyarrow.Table.to_pandas()}} of the result, so for
> {{SELECT TIMESTAMP'2024-01-02 03:04:05' AS ts, map('k', 1) AS m}} and a
> column of a user-defined type, such as {{array_to_vector}}'s:
> ||Column||PySpark 4.3.0||Rust-backed client||
> |{{ts}}|{{datetime64[ns]}}, {{Timestamp('2024-01-02 03:04:05')}} in the
> session time zone|{{datetime64[us, UTC]}}, {{Timestamp('2024-01-02
> 03:04:05+0000', tz='UTC')}}|
> |{{m}}|{{{'k': 1}}}|{{[('k', 1)]}}|
> |a {{VectorUDT}}|{{DenseVector([1.5, 2.0])}}|{{{'type': 1, 'size': None,
> 'indices': None, 'values': array([1.5, 2.])}}}|
> Convert the columns of {{toPandas()}} as PySpark does.
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