Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/15389#discussion_r82444378
--- Diff: python/pyspark/rdd.py ---
@@ -2029,7 +2030,11 @@ def coalesce(self, numPartitions, shuffle=False):
>>> sc.parallelize([1, 2, 3, 4, 5], 3).coalesce(1).glom().collect()
[[1, 2, 3, 4, 5]]
"""
- jrdd = self._jrdd.coalesce(numPartitions, shuffle)
+ if shuffle:
+ data_java_rdd =
self._to_java_object_rdd().coalesce(numPartitions, shuffle)
+ jrdd = self.ctx._jvm.SerDeUtil.javaToPython(data_java_rdd)
--- End diff --
I'm not as familiar with this part as I should be, but do we have a good
idea of how expensive this is? It might be good to do some quick benchmarking
just to make sure that this change doesn't have any unintended side effects?
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
