HyukjinKwon commented on a change in pull request #28745:
URL: https://github.com/apache/spark/pull/28745#discussion_r436333468



##########
File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/namedExpressions.scala
##########
@@ -23,14 +23,18 @@ import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute
 import org.apache.spark.sql.catalyst.expressions.codegen._
 import org.apache.spark.sql.catalyst.plans.logical.EventTimeWatermark
-import org.apache.spark.sql.catalyst.util.quoteIdentifier
+import org.apache.spark.sql.catalyst.util.{quoteIdentifier, toPrettySQL}
 import org.apache.spark.sql.types._
 
 object NamedExpression {
   private val curId = new java.util.concurrent.atomic.AtomicLong()
   private[expressions] val jvmId = UUID.randomUUID()
   def newExprId: ExprId = ExprId(curId.getAndIncrement(), jvmId)
   def unapply(expr: NamedExpression): Option[(String, DataType)] = 
Some((expr.name, expr.dataType))
+  def fromExpression(expr: Expression): NamedExpression = expr match {
+    case ne: NamedExpression => ne
+    case _: Expression => Alias(expr, toPrettySQL(expr))()
+  }

Review comment:
       I will send another PR to use this in other places, for example,
   
   
https://github.com/apache/spark/blob/a3a42b30d04009282e770c289b043ca5941e32e5/sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/AggUtils.scala#L147-L150
   
   
https://github.com/apache/spark/blob/6c80ebbccb7f354f645dd63a73114332d26f901f/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/dsl/package.scala#L361-L364
   
   
https://github.com/apache/spark/blob/17857f9b8bdf95eb64735eb986e86bf8fd8bc1a9/sql/core/src/main/scala/org/apache/spark/sql/RelationalGroupedDataset.scala#L83-L89
   
   and possibly at:
   
   
https://github.com/apache/spark/blob/7195a18bf24d9506d2f8d9d4d93ff679b3d21b65/sql/core/src/main/scala/org/apache/spark/sql/Column.scala#L204
   
   I can don't add this util here for now too if anyone is not sure on this.




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