prodriguezdefino commented on code in PR #32512:
URL: https://github.com/apache/beam/pull/32512#discussion_r1805340290


##########
sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BeamRowToStorageApiProto.java:
##########
@@ -289,25 +307,44 @@ private static Object toProtoValue(
       case ROW:
         return messageFromBeamRow(fieldDescriptor.getMessageType(), (Row) 
value, null, -1);
       case ARRAY:
-        List<Object> list = (List<Object>) value;
-        @Nullable FieldType arrayElementType = 
beamFieldType.getCollectionElementType();
-        if (arrayElementType == null) {
-          throw new RuntimeException("Unexpected null element type!");
-        }
-        return list.stream()
-            .map(v -> toProtoValue(fieldDescriptor, arrayElementType, v))
-            .collect(Collectors.toList());
       case ITERABLE:
         Iterable<Object> iterable = (Iterable<Object>) value;
         @Nullable FieldType iterableElementType = 
beamFieldType.getCollectionElementType();
         if (iterableElementType == null) {
-          throw new RuntimeException("Unexpected null element type!");
+          throw new RuntimeException("Unexpected null element type: " + 
fieldDescriptor.getName());
         }
-        return StreamSupport.stream(iterable.spliterator(), false)
-            .map(v -> toProtoValue(fieldDescriptor, iterableElementType, v))
-            .collect(Collectors.toList());
+        // We currently only support maps as non-row or non-scalar element 
types
+        // given that BigQuery does not support nested arrays. If the element 
type is of map type
+        // we should flatten it given how is being translated (as a list of 
proto(key, value).

Review Comment:
   Sounds good, I will remove the flattening here. FYI @JohnZZGithub.
   
   I noticed that we are not checking for maps types 
[here](https://github.com/apache/beam/blob/master/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BeamRowToStorageApiProto.java#L227),
 I will the check and improve the messaging for users to understand what's 
going on. 
   
   Also I will try to work, on a separated PR, on a more general flattening 
configuration. Probably in the form of a lambda, so we can delegate the users 
what to do in the case of encountering a nested container type in the 
translation process. 
   
   



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