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Posted to issues@spark.apache.org by "Herman van Hovell (JIRA)" <ji...@apache.org> on 2018/01/26 03:30:00 UTC

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

Herman van Hovell created SPARK-23223:
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             Summary: 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


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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