cloud-fan commented on code in PR #44316:
URL: https://github.com/apache/spark/pull/44316#discussion_r1430978614


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveInlineTables.scala:
##########
@@ -105,26 +107,40 @@ object ResolveInlineTables extends Rule[LogicalPlan]
     val attributes = DataTypeUtils.toAttributes(StructType(fields))
     assert(fields.size == table.names.size)
 
-    val newRows: Seq[InternalRow] = table.rows.map { row =>
-      InternalRow.fromSeq(row.zipWithIndex.map { case (e, ci) =>
-        val targetType = fields(ci).dataType
-        try {
+    val castedRows: Seq[Seq[Expression]] = table.rows.map { row =>
+      row.zipWithIndex.map {
+        case (e, ci) =>
+          val targetType = fields(ci).dataType
           val castedExpr = if (DataTypeUtils.sameType(e.dataType, targetType)) 
{
             e
           } else {
             cast(e, targetType)
           }
-          prepareForEval(castedExpr).eval()
-        } catch {
-          case NonFatal(ex) =>
-            table.failAnalysis(
-              errorClass = 
"INVALID_INLINE_TABLE.FAILED_SQL_EXPRESSION_EVALUATION",
-              messageParameters = Map("sqlExpr" -> toSQLExpr(e)),
-              cause = ex)
-        }
-      })
+          castedExpr
+      }
     }
 
-    LocalRelation(attributes, newRows)
+    val noCurrentLike: Boolean = 
castedRows.flatten.forall(!_.containsPattern(CURRENT_LIKE))
+    if (noCurrentLike) {
+      val evalRows: Seq[InternalRow] =

Review Comment:
   to avoid duplicated code, shall we always create `ResolvedInlineTable` and 
then invoke `EvalInlineTables.apply` when there is no current_like?



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