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https://issues.apache.org/jira/browse/SPARK-61066?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon reassigned SPARK-61066:
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Assignee: Hyukjin Kwon
> Raise the errors of join types and dict aggregations, and return the status
> of a streaming query, in the Rust client as PySpark does
> ------------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-61066
> URL: https://issues.apache.org/jira/browse/SPARK-61066
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: 5.0.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Priority: Major
> Labels: pull-request-available
>
> The Python client of the Rust Spark Connect client differs from PySpark
> 4.3.0: df.join with an unsupported join type raises a local ValueError where
> PySpark raises AnalysisException UNSUPPORTED_JOIN_TYPE; df.agg({}) returns an
> empty row where PySpark raises AssertionError; dict aggregations with non-str
> values raise TypeError where PySpark raises AssertionError; and
> StreamingQuery.status returns an object rather than PySpark's dict, and
> lastProgress and recentProgress JSON strings rather than
> StreamingQueryProgress.
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