[GitHub] [spark] gengliangwang commented on a diff in pull request #37423: [SPARK-39985][SQL] Enable implicit DEFAULT column values in inserts from DataFrames

[GitBox <gi...@apache.org>]

gengliangwang commented on code in PR #37423:
URL: https://github.com/apache/spark/pull/37423#discussion_r943016309


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveDefaultColumns.scala:
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@@ -262,16 +264,30 @@ case class ResolveDefaultColumns(catalog: SessionCatalog) extends Rule[LogicalPl
    * Updates an inline table to generate missing default column values.
    */
   private def addMissingDefaultValuesForInsertFromInlineTable(
-      table: UnresolvedInlineTable,
-      insertTableSchemaWithoutPartitionColumns: StructType): UnresolvedInlineTable = {
-    val numQueryOutputs: Int = table.rows(0).size
+      node: LogicalPlan,
+      insertTableSchemaWithoutPartitionColumns: StructType): LogicalPlan = {
+    val numQueryOutputs: Int = node match {
+      case table: UnresolvedInlineTable => table.rows(0).size
+      case local: LocalRelation => local.data(0).numFields
+    }
     val schema = insertTableSchemaWithoutPartitionColumns
     val newDefaultExpressions: Seq[Expression] =
       getDefaultExpressionsForInsert(numQueryOutputs, schema)
     val newNames: Seq[String] = schema.fields.drop(numQueryOutputs).map { _.name }
-    table.copy(
-      names = table.names ++ newNames,
-      rows = table.rows.map { row => row ++ newDefaultExpressions })
+    node match {
+      case table: UnresolvedInlineTable =>
+        table.copy(
+          names = table.names ++ newNames,
+          rows = table.rows.map { row => row ++ newDefaultExpressions })
+      case local: LocalRelation if newDefaultExpressions.nonEmpty =>
+        val colTypes = StructType(local.output.map(col => StructField(col.name, col.dataType)))
+        UnresolvedInlineTable(

Review Comment:
   Shall we return LocalRelation instead?



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