szehon-ho commented on code in PR #52866:
URL: https://github.com/apache/spark/pull/52866#discussion_r2512952222
##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveMergeIntoSchemaEvolution.scala:
##########
@@ -34,24 +35,104 @@ import
org.apache.spark.sql.execution.datasources.v2.DataSourceV2Relation
object ResolveMergeIntoSchemaEvolution extends Rule[LogicalPlan] {
override def apply(plan: LogicalPlan): LogicalPlan = plan resolveOperators {
- case m @ MergeIntoTable(_, _, _, _, _, _, _)
- if m.needSchemaEvolution =>
+ // This rule should run only if all assignments are resolved, except those
+ // that will be satisfied by schema evolution
+ case m @ MergeIntoTable(_, _, _, _, _, _, _) if m.needSchemaEvolution =>
val newTarget = m.targetTable.transform {
- case r : DataSourceV2Relation => performSchemaEvolution(r,
m.sourceTable)
+ case r : DataSourceV2Relation => performSchemaEvolution(r, m)
}
- m.copy(targetTable = newTarget)
+
+ // Unresolve all references based on old target output
Review Comment:
Actually originally I selectively targeted DataSourceV2Relation under
targetTable field.
```
m.targetTable transform { case r: DataSourceV2Relation => ... }
```
But now I need to run the rule on the top object (m) because the attributes
to rewrite are child of m. I could not figure out how to get it to rewrite
attributes if I match m itself, because I think this method only populates
attributeMap if the rule targets a child..
https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/QueryPlan.scala#L349
So hence now I make an assumption that the DataSourceV2Relation is the
target table. Currently it is the case because only target table has a
SupportsRowLevelOperationTable object, but just calling this out.
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