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Apache Spark commented on SPARK-23223: -------------------------------------- User 'hvanhovell' has created a pull request for this issue: https://github.com/apache/spark/pull/20402 > 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. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org