dongjoon-hyun commented on a change in pull request #29587:
URL: https://github.com/apache/spark/pull/29587#discussion_r487641195



##########
File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveUnion.scala
##########
@@ -17,29 +17,107 @@
 
 package org.apache.spark.sql.catalyst.analysis
 
+import scala.collection.mutable
+
 import org.apache.spark.sql.AnalysisException
-import org.apache.spark.sql.catalyst.expressions.{Alias, Literal}
+import org.apache.spark.sql.catalyst.expressions.{Alias, Attribute, 
Expression, Literal, NamedExpression, WithFields}
 import org.apache.spark.sql.catalyst.optimizer.CombineUnions
 import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, Project, 
Union}
 import org.apache.spark.sql.catalyst.rules.Rule
 import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.types._
 import org.apache.spark.sql.util.SchemaUtils
 
 /**
  * Resolves different children of Union to a common set of columns.
  */
 object ResolveUnion extends Rule[LogicalPlan] {
-  private def unionTwoSides(
+  /**
+   * Adds missing fields recursively into given `col` expression, based on the 
target `StructType`.
+   * For example, given `col` as "a struct<a:int, b:int>, b int" and `target` 
as
+   * "a struct<a:int, b:int, c:long>, b int, c string", this method should add 
`a.c` and `c` to
+   * `col` expression.
+   */
+  private def addFields(col: NamedExpression, target: StructType): 
Option[Expression] = {
+    assert(col.dataType.isInstanceOf[StructType], "Only support StructType.")
+
+    val resolver = SQLConf.get.resolver
+    val missingFields =
+      StructType.findMissingFields(col.dataType.asInstanceOf[StructType], 
target, resolver)
+    if (missingFields.isEmpty) {
+      None
+    } else {
+      missingFields.map(s => addFieldsInto(col, "", s.fields))
+    }
+  }
+
+  /**
+   * Adds missing fields recursively into given `col` expression. The missing 
fields are given
+   * in `fields`. For example, given `col` as "a struct<a:int, b:int>, b int", 
and `fields` is
+   * "a struct<c:long>, c string". This method will add a nested `a.c` field 
and a top-level
+   * `c` field to `col` and fill null values for them.
+   */
+  private def addFieldsInto(col: Expression, base: String, fields: 
Seq[StructField]): Expression = {
+    fields.foldLeft(col) { case (currCol, field) =>
+      field.dataType match {
+        case st: StructType =>
+          val resolver = SQLConf.get.resolver
+          val colField = currCol.dataType.asInstanceOf[StructType]
+            .find(f => resolver(f.name, field.name))
+          if (colField.isEmpty) {
+            // The whole struct is missing. Add a null.
+            WithFields(currCol, s"$base${field.name}", Literal(null, st),
+              sortOutputColumns = true)
+          } else {
+            addFieldsInto(currCol, s"$base${field.name}.", st.fields)
+          }
+        case dt =>
+          // We need to sort columns in result, because we might add another 
column in other side.
+          // E.g., we want to union two structs "a int, b long" and "a int, c 
string".
+          // If we don't sort, we will have "a int, b long, c string" and "a 
int, c string, b long",
+          // which are not compatible.
+          WithFields(currCol, s"$base${field.name}", Literal(null, dt),
+            sortOutputColumns = true)
+      }
+    }
+  }
+
+  private def compareAndAddFields(
       left: LogicalPlan,
       right: LogicalPlan,
-      allowMissingCol: Boolean): LogicalPlan = {
+      allowMissingCol: Boolean): (Seq[NamedExpression], Seq[NamedExpression]) 
= {
     val resolver = SQLConf.get.resolver
     val leftOutputAttrs = left.output
     val rightOutputAttrs = right.output
 
-    // Builds a project list for `right` based on `left` output names
+    val aliased = mutable.ArrayBuffer.empty[Attribute]
+
     val rightProjectList = leftOutputAttrs.map { lattr =>
-      rightOutputAttrs.find { rattr => resolver(lattr.name, rattr.name) 
}.getOrElse {
+      val found = rightOutputAttrs.find { rattr => resolver(lattr.name, 
rattr.name) }
+      if (found.isDefined) {
+        val foundAttr = found.get
+        val foundDt = foundAttr.dataType
+        (foundDt, lattr.dataType) match {
+          case (source: StructType, target: StructType)
+              if allowMissingCol && !source.sameType(target) =>
+            // Having an output with same name, but different struct type.
+            // We need to add missing fields. Note that if there are deeply 
nested structs such as
+            // nested struct of array in struct, we don't support to add 
missing deeply nested field
+            // like that. For such case, simply use original attribute.
+            addFields(foundAttr, target).map { added =>
+              aliased += foundAttr
+              Alias(added, foundAttr.name)()
+            }.getOrElse(foundAttr)
+          case _ =>
+            // We don't need/try to add missing fields if:
+            // 1. The attributes of left and right side are the same struct 
type
+            // 2. The attributes are not struct types. They might be primitive 
types, or array, map
+            //    types. We don't support adding missing fields of nested 
structs in array or map
+            //    types now.
+            // 3. `allowMissingCol` is disabled.
+            found.get

Review comment:
       `found.get` -> `foundAttr`




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