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https://issues.apache.org/jira/browse/SPARK-19091?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Josh Rosen updated SPARK-19091:
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Comment: was deleted
(was: Upon closer inspection, I think the right approach here might be to
simply not construct a LogicalRDD when going from a ParallelCollectionRDD to a
Dataset. Instead, we should probably just jump right to a LocalRelation similar
to what we do in createDataFrame()'s Seq-taking overload.)
> createDataset(sc.parallelize(x: Seq)) should be equivalent to
> createDataset(x: Seq)
> -----------------------------------------------------------------------------------
>
> Key: SPARK-19091
> URL: https://issues.apache.org/jira/browse/SPARK-19091
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: Josh Rosen
>
> It turns out that spark.createDataset(sc.parallelize(x: Seq)) and
> spark.createaDataSet(x: Seq) produce different plans, where the former is
> much less efficient due to a lack of accurate size estimation. We should
> modify SparkSession to special-case the situation where createDataset is
> called on a ParallelCollectionRDD in order to remove this source of
> performance variation between the two plans.
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