tgravescs 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_r404215247
##########
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:
I don't know what you mean, we are going with these apis. This is only in
master branch, not in branch-3.0.
https://issues.apache.org/jira/browse/SPARK-29150 is to make the RDD ones
public. At this point the core feature is complete so making the python ones
and java ones public doesn't hurt anything and they will be only be in 3.1.0.
Sorry for the confusion there, its just timing on when things got merged and it
was across the 3.0 and 3.1 boundary.
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