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https://issues.apache.org/jira/browse/SPARK-61095?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-61095.
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    Resolution: Fixed

Issue resolved by pull request 300
[https://github.com/apache/spark-connect-rust/pull/300]

> Add the modules geo_utils, sql_formatter, table_arg and tvf_argument of 
> pyspark.sql in the Python client as the PySpark client has them
> ---------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-61095
>                 URL: https://issues.apache.org/jira/browse/SPARK-61095
>             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
>
>
> The PySpark client ships the modules {{geo_utils}}, {{sql_formatter}}, 
> {{table_arg}} and {{tvf_argument}} of {{pyspark.sql}} (the {{pyspark.sql}} 
> package of {{connect_packages}}): the spatial reference systems of the 
> spatial types, {{SQLStringFormatter}}, {{TableArg}} and 
> {{TableValuedFunctionArgument}}, of which a {{Column}} and a {{TableArg}} are 
> instances. Its {{import pyspark.sql}} imports {{pyspark.sql.conf}}, 
> {{profiler}}, {{streaming}} and {{variant_utils}} too, so they are attributes 
> of {{pyspark.sql}}.
> The Rust-backed Python client lacks the four modules 
> ({{ModuleNotFoundError}}), and {{pyspark.sql.streaming}} and the others are 
> not attributes of {{pyspark.sql}} until they are imported. Add them as the 
> PySpark client has them.



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