Roi Reshef created SPARK-17020:
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Summary: Materialization of RDD via DataFrame.rdd forces a poor
re-distribution of data
Key: SPARK-17020
URL: https://issues.apache.org/jira/browse/SPARK-17020
Project: Spark
Issue Type: Bug
Components: Spark Core, SQL
Affects Versions: 1.6.2, 1.6.1
Reporter: Roi Reshef
Priority: Critical
Calling DataFrame's lazy val .rdd results with a new RDD with a poor
distribution of partitions across the cluster. Moreover, any attempt to
repartition this RDD further will fail.
Attached are a screenshot of the original DataFrame on cache and the resulting
RDD on cache.
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