justaparth commented on code in PR #41498:
URL: https://github.com/apache/spark/pull/41498#discussion_r1223202896


##########
connector/protobuf/src/main/scala/org/apache/spark/sql/protobuf/ProtobufDeserializer.scala:
##########
@@ -247,12 +247,86 @@ private[sql] class ProtobufDeserializer(
           updater.setLong(ordinal, micros + 
TimeUnit.NANOSECONDS.toMicros(nanoSeconds))
 
       case (MESSAGE, StringType)
-          if protoType.getMessageType.getFullName == "google.protobuf.Any" =>
+        if protoType.getMessageType.getFullName == "google.protobuf.Any" =>
         (updater, ordinal, value) =>
           // Convert 'Any' protobuf message to JSON string.
           val jsonStr = jsonPrinter.print(value.asInstanceOf[DynamicMessage])
           updater.set(ordinal, UTF8String.fromString(jsonStr))
 
+      // Handle well known wrapper types. We unpack the value field instead of 
keeping

Review Comment:
   Also one point that may not have been clear, but these wrapper types for 
primitives are not inherently useful as "messages"; rather they exist for the 
purpose of distinguishing between empty and 0 in proto3, before the existence 
of optional.
   
   As an example
   
   ```
   syntax = "proto3";
   
   message A {
     int64 val = 1;
   }
   ```
   
   A() and A(0) are not distinguishable from one another because default values 
are [not 
serialized](https://protobuf.dev/programming-guides/field_presence/#presence-in-tag-value-stream-wire-format-serialization)
 to the wire for primitives in proto3.
   
   But if you had
   ```
   syntax = "proto3";
   
   message A {
     google.protobuf.Int64Value val = 1;
   }
   ```
   
   ```
   A()
   A(Int64Value(0))
   ```
   
   Now become distinguishable from one another.
   
   Basically it's not like it's useful to just nest primitives inside a message 
for the sake of it, the purpose is simply to disambiguate in that case above 
(and you're right that `optional` in newer versions of protos basically solves 
this problem).



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