[jira] [Assigned] (SPARK-23223) Stacking dataset transforms performs poorly

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-23223?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-23223:
------------------------------------

    Assignee: Herman van Hovell  (was: Apache Spark)

> Stacking dataset transforms performs poorly
> -------------------------------------------
>
>                 Key: SPARK-23223
>                 URL: https://issues.apache.org/jira/browse/SPARK-23223
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.3.0
>            Reporter: Herman van Hovell
>            Assignee: Herman van Hovell
>            Priority: Major
>
> It is a common pattern to apply multiple transforms to a {{Dataset}} (using {{Dataset.withColumn}} for example. This is currently quite expensive because we run {{CheckAnalysis}} on the full plan and create an encoder for each intermediate {{Dataset}}.
> {{CheckAnalysis}} only needs to be run for the newly added plan components, and not for the full plan. The addition of the {{AnalysisBarrier}} created this issue.



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