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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2019/06/28 10:42:00 UTC
[jira] [Assigned] (SPARK-28203) PythonRDD should respect
SparkContext's conf when passing user confMap
[ https://issues.apache.org/jira/browse/SPARK-28203?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-28203:
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Assignee: (was: Apache Spark)
> 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
> Priority: Minor
>
> 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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