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https://issues.apache.org/jira/browse/SPARK-61001?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon reassigned SPARK-61001:
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Assignee: Hyukjin Kwon
> Raise the errors of toLocalIterator of the Python client as PySpark does
> ------------------------------------------------------------------------
>
> Key: SPARK-61001
> URL: https://issues.apache.org/jira/browse/SPARK-61001
> 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.toLocalIterator()}} raises the error of an
> execution that fails while it iterates. The Rust-backed Python client ends
> the iteration without an error, so the rows of a failing query look complete:
> for {{spark.sql("SELECT assert_true(id < 0) AS x FROM range(3)")}},
> {{list(df.toLocalIterator())}} raises {{SparkRuntimeException}}
> {{USER_RAISED_EXCEPTION}} in PySpark 4.3.0, with or without
> {{prefetchPartitions}}, and is {{[]}} with the client. Raise the error as
> PySpark does.
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