beliefer commented on code in PR #38973:
URL: https://github.com/apache/spark/pull/38973#discussion_r1043045096
##########
connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala:
##########
@@ -309,6 +310,28 @@ class SparkConnectPlanner(session: SparkSession) {
UnresolvedHint(rel.getName, params, transformRelation(rel.getInput))
}
+ private def transformMelt(rel: proto.Melt): LogicalPlan = {
+ val ids = rel.getIdsList.asScala.toArray.map { expr =>
+ Column(transformExpression(expr))
+ }
+
+ if (rel.getValuesList.isEmpty) {
+ Dataset
+ .ofRows(session, transformRelation(rel.getInput))
+ .melt(ids, rel.getVariableColumnName, rel.getValueColumnName)
Review Comment:
It will throws
```
org.apache.spark.sql.AnalysisException: [UNPIVOT_REQUIRES_VALUE_COLUMNS] At
least one value column needs to be specified for UNPIVOT, all columns specified
as ids;
'Unpivot ArraySeq(id#25), ArraySeq(), variable, [value]
+- LocalRelation <empty>, [id#25, name#26]
```
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