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Posted to issues@spark.apache.org by "Roi Reshef (JIRA)" <ji...@apache.org> on 2016/08/11 12:45:20 UTC

[jira] [Created] (SPARK-17020) Materialization of RDD via DataFrame.rdd forces a poor re-distribution of data

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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