amogh-jahagirdar commented on code in PR #12736:
URL: https://github.com/apache/iceberg/pull/12736#discussion_r2060870333


##########
spark/v3.5/spark/src/main/java/org/apache/iceberg/spark/source/SparkTable.java:
##########
@@ -258,23 +256,16 @@ public Set<TableCapability> capabilities() {
   @Override
   public MetadataColumn[] metadataColumns() {
     DataType sparkPartitionType = 
SparkSchemaUtil.convert(Partitioning.partitionType(table()));
-    ImmutableList.Builder<SparkMetadataColumn> metadataColumns = 
ImmutableList.builder();
-    metadataColumns.add(
-        new SparkMetadataColumn(MetadataColumns.SPEC_ID.name(), 
DataTypes.IntegerType, false),
-        new SparkMetadataColumn(MetadataColumns.PARTITION_COLUMN_NAME, 
sparkPartitionType, true),
-        new SparkMetadataColumn(MetadataColumns.FILE_PATH.name(), 
DataTypes.StringType, false),
-        new SparkMetadataColumn(MetadataColumns.ROW_POSITION.name(), 
DataTypes.LongType, false),
-        new SparkMetadataColumn(MetadataColumns.IS_DELETED.name(), 
DataTypes.BooleanType, false));
-
-    if (TableUtil.formatVersion(table()) >= 3) {
-      metadataColumns.add(
-          new SparkMetadataColumn(MetadataColumns.ROW_ID.name(), 
DataTypes.LongType, true));
-      metadataColumns.add(
-          new SparkMetadataColumn(
-              MetadataColumns.LAST_UPDATED_SEQUENCE_NUMBER.name(), 
DataTypes.LongType, true));
-    }
-
-    return metadataColumns.build().toArray(SparkMetadataColumn[]::new);
+    return new MetadataColumn[] {
+      new SparkMetadataColumn(MetadataColumns.SPEC_ID.name(), 
DataTypes.IntegerType, false),
+      new SparkMetadataColumn(MetadataColumns.PARTITION_COLUMN_NAME, 
sparkPartitionType, true),
+      new SparkMetadataColumn(MetadataColumns.FILE_PATH.name(), 
DataTypes.StringType, false),
+      new SparkMetadataColumn(MetadataColumns.ROW_POSITION.name(), 
DataTypes.LongType, false),
+      new SparkMetadataColumn(MetadataColumns.IS_DELETED.name(), 
DataTypes.BooleanType, false),
+      new SparkMetadataColumn(MetadataColumns.ROW_ID.name(), 
DataTypes.LongType, true),
+      new SparkMetadataColumn(
+          MetadataColumns.LAST_UPDATED_SEQUENCE_NUMBER.name(), 
DataTypes.LongType, true)
+    };

Review Comment:
   Changed this to always allow projecting row lineage columns regardless of 
format version. For the unsupported format versions, it'll return null



##########
spark/v3.5/spark/src/main/java/org/apache/iceberg/spark/source/SparkTable.java:
##########
@@ -258,23 +256,16 @@ public Set<TableCapability> capabilities() {
   @Override
   public MetadataColumn[] metadataColumns() {
     DataType sparkPartitionType = 
SparkSchemaUtil.convert(Partitioning.partitionType(table()));
-    ImmutableList.Builder<SparkMetadataColumn> metadataColumns = 
ImmutableList.builder();
-    metadataColumns.add(
-        new SparkMetadataColumn(MetadataColumns.SPEC_ID.name(), 
DataTypes.IntegerType, false),
-        new SparkMetadataColumn(MetadataColumns.PARTITION_COLUMN_NAME, 
sparkPartitionType, true),
-        new SparkMetadataColumn(MetadataColumns.FILE_PATH.name(), 
DataTypes.StringType, false),
-        new SparkMetadataColumn(MetadataColumns.ROW_POSITION.name(), 
DataTypes.LongType, false),
-        new SparkMetadataColumn(MetadataColumns.IS_DELETED.name(), 
DataTypes.BooleanType, false));
-
-    if (TableUtil.formatVersion(table()) >= 3) {
-      metadataColumns.add(
-          new SparkMetadataColumn(MetadataColumns.ROW_ID.name(), 
DataTypes.LongType, true));
-      metadataColumns.add(
-          new SparkMetadataColumn(
-              MetadataColumns.LAST_UPDATED_SEQUENCE_NUMBER.name(), 
DataTypes.LongType, true));
-    }
-
-    return metadataColumns.build().toArray(SparkMetadataColumn[]::new);
+    return new MetadataColumn[] {
+      new SparkMetadataColumn(MetadataColumns.SPEC_ID.name(), 
DataTypes.IntegerType, false),
+      new SparkMetadataColumn(MetadataColumns.PARTITION_COLUMN_NAME, 
sparkPartitionType, true),
+      new SparkMetadataColumn(MetadataColumns.FILE_PATH.name(), 
DataTypes.StringType, false),
+      new SparkMetadataColumn(MetadataColumns.ROW_POSITION.name(), 
DataTypes.LongType, false),
+      new SparkMetadataColumn(MetadataColumns.IS_DELETED.name(), 
DataTypes.BooleanType, false),
+      new SparkMetadataColumn(MetadataColumns.ROW_ID.name(), 
DataTypes.LongType, true),
+      new SparkMetadataColumn(
+          MetadataColumns.LAST_UPDATED_SEQUENCE_NUMBER.name(), 
DataTypes.LongType, true)
+    };

Review Comment:
   Changed this to always allow projecting row lineage columns regardless of 
format version. For the unsupported format versions, it'll return null for the 
row IDs



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