Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/15389#discussion_r83088720
--- Diff: python/pyspark/rdd.py ---
@@ -2029,7 +2028,15 @@ def coalesce(self, numPartitions, shuffle=False):
>>> sc.parallelize([1, 2, 3, 4, 5], 3
Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/15389#discussion_r82930615
--- Diff: python/pyspark/rdd.py ---
@@ -2029,7 +2028,15 @@ def coalesce(self, numPartitions, shuffle=False):
>>> sc.parallelize([1, 2, 3, 4, 5], 3
Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/15389#discussion_r82929167
--- Diff: python/pyspark/rdd.py ---
@@ -2029,7 +2028,15 @@ def coalesce(self, numPartitions, shuffle=False):
>>> sc.parallelize([1, 2, 3, 4, 5], 3
Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/15389#discussion_r82907726
--- Diff: python/pyspark/rdd.py ---
@@ -2029,7 +2028,15 @@ def coalesce(self, numPartitions, shuffle=False):
>>> sc.parallelize([1, 2, 3, 4,
Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/15389#discussion_r82890280
--- Diff: python/pyspark/rdd.py ---
@@ -2029,7 +2028,15 @@ def coalesce(self, numPartitions, shuffle=False):
>>> sc.parallelize([1, 2, 3, 4, 5], 3
Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/15389
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Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/15389#discussion_r82570191
--- Diff: python/pyspark/rdd.py ---
@@ -2029,7 +2028,11 @@ def coalesce(self, numPartitions, shuffle=False):
>>> sc.parallelize([1, 2, 3, 4, 5], 3
Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/15389#discussion_r82544055
--- Diff: python/pyspark/rdd.py ---
@@ -2029,7 +2028,11 @@ def coalesce(self, numPartitions, shuffle=False):
>>> sc.parallelize([1, 2, 3, 4, 5], 3).
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],
Github user dusenberrymw commented on a diff in the pull request:
https://github.com/apache/spark/pull/15389#discussion_r82468575
--- Diff: python/pyspark/rdd.py ---
@@ -2029,7 +2030,11 @@ def coalesce(self, numPartitions, shuffle=False):
>>> sc.parallelize([1, 2, 3, 4,
Github user dusenberrymw commented on a diff in the pull request:
https://github.com/apache/spark/pull/15389#discussion_r82468103
--- Diff: python/pyspark/rdd.py ---
@@ -2029,7 +2030,11 @@ def coalesce(self, numPartitions, shuffle=False):
>>> sc.parallelize([1, 2, 3, 4,
Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/15389#discussion_r82443930
--- Diff: python/pyspark/rdd.py ---
@@ -2029,7 +2030,11 @@ def coalesce(self, numPartitions, shuffle=False):
>>> sc.parallelize([1, 2, 3, 4, 5],
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],
GitHub user viirya opened a pull request:
https://github.com/apache/spark/pull/15389
[SPARK-17817][PySpark] PySpark RDD Repartitioning Results in Highly Skewed
Partition Sizes
## What changes were proposed in this pull request?
Quoted from JIRA description:
Calling
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