HyukjinKwon commented on a change in pull request #28085:
[SPARK-29641][PYTHON][CORE] Stage Level Sched: Add python api's and tests
URL: https://github.com/apache/spark/pull/28085#discussion_r403648232
##########
File path: python/pyspark/rdd.py
##########
@@ -2483,6 +2485,32 @@ def _is_barrier(self):
"""
return self._jrdd.rdd().isBarrier()
+ def withResources(self, profile):
+ """
+ .. note:: Experimental
+
+ Specify a ResourceProfile to use when calculating this RDD. This is
only supported on
+ certain cluster managers and currently requires dynamic allocation to
be enabled.
+ It will result in new executors with the resources specified being
acquired to
+ calculate the RDD.
+
+ .. versionadded:: 3.1.0
+ """
+ self.has_resourceProfile = True
+ self._jrdd.withResources(profile._jResourceProfile)
+ return self
+
+ def getResourceProfile(self):
Review comment:
@tgravescs, can you clarify if we're going to make `getResourceProfile` and
`withResources` as APIs or not first? I strongly think this is a bad idea to
mix private and API declarations
https://github.com/apache/spark/blob/5d76b12e9b2ca0eb090c3c5145eee4cf78caba13/core/src/main/scala/org/apache/spark/rdd/RDD.scala#L1740-L1743
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