Github user cloud-fan commented on a diff in the pull request: https://github.com/apache/spark/pull/14044#discussion_r69498744 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala --- @@ -62,7 +62,7 @@ private[sql] object Dataset { def ofRows(sparkSession: SparkSession, logicalPlan: LogicalPlan): DataFrame = { val qe = sparkSession.sessionState.executePlan(logicalPlan) qe.assertAnalyzed() - new Dataset[Row](sparkSession, logicalPlan, RowEncoder(qe.analyzed.schema)) + new Dataset[Row](sparkSession, qe, RowEncoder(qe.analyzed.schema), skipAnalysis = true) --- End diff -- can we test how much we can speed up by avoiding the duplicated check analysis? I think it's necessary to avoid duplicated analysis, but seems check analysis is not a big deal?
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