dtenedor commented on code in PR #41191:
URL: https://github.com/apache/spark/pull/41191#discussion_r1199511465


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala:
##########
@@ -3187,7 +3189,42 @@ class AstBuilder extends 
SqlBaseParserBaseVisitor[AnyRef] with SQLConfHelper wit
       ctx: PropertyListContext): Map[String, String] = withOrigin(ctx) {
     val properties = ctx.property.asScala.map { property =>
       val key = visitPropertyKey(property.key)
-      val value = visitPropertyValue(property.value)
+      // If the expression provided for the option value is a literal, use the 
string
+      // representation of the contents of the literal value provided here. 
Otherwise, if this
+      // expression is constant but non-literal, evaluate the expression and 
use its value instead.
+      val value = if (property.value == null) {
+        null
+      } else {
+        val parsed = expression(property.value)
+        def error: Throwable = {
+          new ParseException(
+            errorClass = "INVALID_SQL_SYNTAX",
+            messageParameters = Map(
+              "inputString" ->
+                s"option or property key $key is invalid; only constant 
expressions are supported"),
+            ctx)
+        }
+        val plan = try {
+          val analyzer: Analyzer = ResolveDefaultColumns.DefaultColumnAnalyzer

Review Comment:
   Good point. I updated this to avoid using the analyzer, and just check if 
the expression is foldable and `eval` it instead. This supports all types of 
literals and some basic operations now. Function calls are not supported yet; I 
can support them later, but that change is more invasive.



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