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Posted to issues@spark.apache.org by "Herman van Hovell (JIRA)" <ji...@apache.org> on 2018/01/29 17:03:00 UTC
[jira] [Resolved] (SPARK-23223) Stacking dataset transforms
performs poorly
[ https://issues.apache.org/jira/browse/SPARK-23223?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Herman van Hovell resolved SPARK-23223.
---------------------------------------
Resolution: Fixed
Fix Version/s: 2.3.0
> 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
> Fix For: 2.3.0
>
>
> 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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