amaliujia commented on code in PR #38793:
URL: https://github.com/apache/spark/pull/38793#discussion_r1034305923
##########
connector/connect/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala:
##########
@@ -242,6 +243,17 @@ class SparkConnectPlanner(session: SparkSession) {
.logicalPlan
}
+ private def transformWithColumns(rel: proto.WithColumns): LogicalPlan = {
+ val (names, cols) =
+ rel.getNameExprListList.asScala
+ .map(e => (e.getName(0), Column(transformExpression(e.getExpr))))
Review Comment:
The current API design is not good because it carries ambiguity thus it asks
server to validate. This happens because we put two things on the same proto
field then server side needs to either if else or validate one case. This is
the primary point. The current way for error handling only makes it looks even
terrible.
##########
connector/connect/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala:
##########
@@ -242,6 +243,17 @@ class SparkConnectPlanner(session: SparkSession) {
.logicalPlan
}
+ private def transformWithColumns(rel: proto.WithColumns): LogicalPlan = {
+ val (names, cols) =
+ rel.getNameExprListList.asScala
+ .map(e => (e.getName(0), Column(transformExpression(e.getExpr))))
Review Comment:
The current API design is not good because it carries ambiguity thus it asks
server to validate. This happens because we put two things on the same proto
field then server side needs to either if else or validate one case. This is
the primary point. The current way for error handling only makes it looks even
more terrible.
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