zhengruifeng commented on code in PR #39254:
URL: https://github.com/apache/spark/pull/39254#discussion_r1058084926
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connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala:
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@@ -1061,6 +1068,81 @@ class SparkConnectPlanner(session: SparkSession) {
}
}
+ private def transformNumericAggregate(agg: proto.Aggregate): LogicalPlan = {
Review Comment:
I believe it's necessary to have a separate method for it, actually at first
I attempted to implement it in existing `transformAggregate` then I found that
the two paths are too different:
1, for the regular agg, we build the logical plan;
2, for the numeric agg, we have to use the dataframe API to avoid doing the
analysis by myself.
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