yaroslav-serhiichuk commented on a change in pull request #31768:
URL: https://github.com/apache/spark/pull/31768#discussion_r589082773
##########
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:
I had faced this issue when tried to setup s3a properties in pyspark
job. The way how to do it was not present anywhere in the documentation but
found a solution on
[Stackoverflow.](https://stackoverflow.com/questions/28844631/how-to-set-hadoop-configuration-values-from-pyspark)
Digging deeper I found a similar ticket opened in
[Jira](https://issues.apache.org/jira/browse/SPARK-33436). That's why this PR
was created. If we really do not need it, it can be closed. But in my mind, it
is logical to have the same sc API I Scala and Python.
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