Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/15389#discussion_r82493650
--- 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 --
Yah that seems close enough we don't need to worry (and for the big cases
presumably the impact of having better balanced partitions is well worth the
slight overhead).
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