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https://issues.apache.org/jira/browse/SPARK-61034?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-61034.
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Resolution: Fixed
Issue resolved by pull request 229
[https://github.com/apache/spark-connect-rust/pull/229]
> Send the output schema of transformWithState in the Python client as PySpark
> does
> ---------------------------------------------------------------------------------
>
> Key: SPARK-61034
> URL: https://issues.apache.org/jira/browse/SPARK-61034
> 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, {{df.groupBy(...).transformWithState(statefulProcessor,
> outputStructType, outputMode, timeMode)}} sends {{outputStructType}} as the
> {{output_schema}} of the {{TransformWithStateInfo}} of its {{GroupMap}}, as
> {{transformWithStateInPandas}} does. The server reads it as the schema of the
> output rows.
> The Rust-backed Python client, and the Rust API
> {{GroupedData::transform_with_state}}, send no output schema for
> {{transformWithState}}. So the server fails to analyze the DataFrame with
> {{[CONNECT_INVALID_PLAN.DATA_TYPE_UNSUPPORTED_PROTO_TO_CATALYST] The Spark
> Connect plan is invalid. Does not support convert KIND_NOT_SET to catalyst
> types.}} Send it as PySpark does.
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