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https://issues.apache.org/jira/browse/SPARK-28203?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-28203.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 25002
[https://github.com/apache/spark/pull/25002]
> PythonRDD should respect SparkContext's conf when passing user confMap
> ----------------------------------------------------------------------
>
> Key: SPARK-28203
> URL: https://issues.apache.org/jira/browse/SPARK-28203
> Project: Spark
> Issue Type: Bug
> Components: PySpark, Spark Core
> Affects Versions: 2.4.3
> Reporter: Xianjin YE
> Assignee: Xianjin YE
> Priority: Minor
> Fix For: 3.0.0
>
>
> PythonRDD have several API which accepts user configs from python side. The
> parameter is called confAsMap and it's intended to merge with RDD's hadoop
> configuration.
> However, the confAsMap is first mapped to Configuration then merged into
> SparkContext's hadoop configuration. The mapped Configuration will load
> default key values in core-default.xml etc., which may be updated in
> SparkContext's hadoop configuration. The default value will override updated
> value in the merge process.
> I will submit a pr to fix this.
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