[GitHub] [spark] nchammas commented on a change in pull request #31768: [SPARK-33436][PYSPARK] PySpark equivalent of SparkContext.hadoopConfiguration

[GitBox <gi...@apache.org>]

nchammas commented on a change in pull request #31768:
URL: https://github.com/apache/spark/pull/31768#discussion_r589521677



##########
File path: python/pyspark/context.py
##########
@@ -1255,6 +1255,16 @@ def getConf(self):
         conf.setAll(self._conf.getAll())
         return conf
 
+    def hadoopConfiguration(self):
+        """
+        Returns the Hadoop configuration used for the Hadoop code (e.g. file systems) we reuse.
+
+        As it will be reused in all Hadoop RDDs, it's better not to modify it unless you
+        plan to set some global configurations for all Hadoop RDDs.
+        Return :class:`Configuration` object
+        """
+        return self._jsc.hadoopConfiguration()

Review comment:
       The purpose of the ticket is as [you described](https://github.com/apache/spark/pull/31768#discussion_r589082773). 
   
   The story I relate in the ticket description is basically the same as yours: I wanted to set some Hadoop configs related to S3A; I couldn't find a direct way to do that; the best approach I could find went through `_.jsc`, so I thought that merited an improvement to PySpark so it had a direct means of doing the same thing.




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