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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